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Fukushima K, Kubo T, Ito Y, Oda Y, Nagayoshi Y, Fukuda M, Takazono T, Sakamoto N, Mukae H. Humoral and cellular immune responses to mRNA COVID-19 vaccinations in the elderly: A longitudinal study in Japan. J Infect Chemother 2025; 31:102695. [PMID: 40189203 DOI: 10.1016/j.jiac.2025.102695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2025] [Revised: 03/27/2025] [Accepted: 04/03/2025] [Indexed: 04/18/2025]
Abstract
OBJECTIVES This study examined the durability of humoral and cell-mediated immune responses to COVID-19 mRNA vaccines over six months, focusing on age-related changes. METHODS SARS-CoV-2 uninfected Japanese subjects aged 20-99 who received two doses of mRNA COVID-19 vaccine were recruited. SARS-CoV-2 Spike IgG antibody (IgG) level in the serum and the levels of interferon (IFN)-γ in blood stimulated with SARS-CoV-2 specific antigens by QuantiFERON (QFN) SARS-CoV-2 assay were measured. RESULTS The IgG levels of 138 subjects declined significantly with age and time post-vaccination (p < 0.001). For participants aged 70 and above (n = 80), the IFN-γ levels, an indicator of cell-mediated immunity, also significantly declined over time (p < 0.05). However, in those under 70 (n = 58), the IFN-γ levels were maintained at three- and six months post-vaccination. There was no significant difference in IFN-γ levels between three- and six months post-vaccination for all 138 subjects, including CD4+ and CD8+ T cell counts. No correlation was observed between IgG antibody levels and secreted IFN-γ values. Multivariate regression analysis revealed a significant correlation between IgG levels and age. In contrast, IFN-γ levels were associated with CD4+ T cell counts, CD8+ T cell counts, and Performance Status Scores but not with age. CONCLUSIONS The findings suggest that while humoral immunity (IgG levels) decreases with age and time, cell-mediated immunity (IFN-γ levels) is relatively preserved in individuals under 70 up to six months post-vaccination. However, this immune response is significantly attenuated in older adults aged 70 and above, indicating age-related immunosenescence in long-term immunity following COVID-19 vaccination.
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Affiliation(s)
- Kiyoyasu Fukushima
- Department of Respiratory Medicine, Japanese Red Cross Nagasaki Genbaku Isahaya Hospital, 986-2 Keya Tarami-cho Isahaya City, Nagasaki, 859-0497, Japan.
| | - Toru Kubo
- Department of Laboratory Medicine, Japanese Red Cross Nagasaki Genbaku Isahaya Hospital, 986-2 Keya Tarami-cho Isahaya City, Nagasaki, 859-0497, Japan.
| | - Yuta Ito
- Department of Laboratory Medicine, Japanese Red Cross Nagasaki Genbaku Isahaya Hospital, 986-2 Keya Tarami-cho Isahaya City, Nagasaki, 859-0497, Japan.
| | - Yoshie Oda
- Department of Laboratory Medicine, Japanese Red Cross Nagasaki Genbaku Isahaya Hospital, 986-2 Keya Tarami-cho Isahaya City, Nagasaki, 859-0497, Japan.
| | - Yohsuke Nagayoshi
- Department of Respiratory Medicine, Japanese Red Cross Nagasaki Genbaku Isahaya Hospital, 986-2 Keya Tarami-cho Isahaya City, Nagasaki, 859-0497, Japan.
| | - Minoru Fukuda
- Department of Respiratory Medicine, Japanese Red Cross Nagasaki Genbaku Isahaya Hospital, 986-2 Keya Tarami-cho Isahaya City, Nagasaki, 859-0497, Japan.
| | - Takahiro Takazono
- Department of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto Nagasaki City, Nagasaki, 852-8501, Japan.
| | - Noriho Sakamoto
- Department of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto Nagasaki City, Nagasaki, 852-8501, Japan.
| | - Hiroshi Mukae
- Department of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto Nagasaki City, Nagasaki, 852-8501, Japan.
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Luo Q, Song Q, Li Y, Zong K, Liu T, He J, Mei G, Du H, Xia Z, Liu M, Song J, Gao C, Xia D, Xue G, Tian W, Qu Y, Kou Z, Dong Z, Han J. Reduced immune response to SARS-CoV-2 infection in the elderly after 6 months. Front Immunol 2025; 16:1596065. [PMID: 40416973 PMCID: PMC12098630 DOI: 10.3389/fimmu.2025.1596065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2025] [Accepted: 04/11/2025] [Indexed: 05/27/2025] Open
Abstract
Objectives To evaluate the immune persistence and cross-immune response of elderly individuals after Omicron BA.5 infections. Method The neutralizing antibodies against WT, BA.5, XBB.1 and EG.5 strains were analyzed. The T/B-cell subsets' responses were tested through intracellular cytokine staining and flow cytometry. Results The neutralizing antibodies titers against WT and BA.5 strain, remaining high level for at least 6 months, were higher than that of both XBB.1 and EG.5 variants. The neutralizing antibodies of WT, BA.5, XBB.1, and EG.5 strains in the elderly were slightly lower than those in middle-age. The memory B cells decreased rapidly in the elderly, and Tfh, Th17 cells of the elderly continued to increase for only 3 months, while Tfh and Th17 cells increased in the middle-aged for over 6 months. For the elderly, after peptide stimulation, unswitched/switched memory B cells decreased, while double negative B cells displayed higher proliferation. The proportions of both naïve and Temra cells in CD4+ and CD8+ T cells declined, whereas those of Tcm and Tem cells elevated. In the meantime, both CD69+ and CD38+ T cells decreased, but the frequencies of PD-1+ and CTLA-4+ of CD4+ and CD8+ T cells showed an increasing trend. The proportions of PD-1+ and CTLA-4+ cells also increased in older people with long COVID symptoms at 3m post-infection. Conclusions Omicron BA.5 infection induced lower neutralizing antibodies against XBB.1 and EG.5 variant. The decrease of memory B cells, CD69+ and CD38+T cells, as well as the increase of PD-1+, CTLA-4+ of CD4+/CD8+T cells and double negative B cells, indicate that sustained immune responses against BA.5 infection may wane more rapidly in elderly populations.
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Affiliation(s)
- Qin Luo
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qinqin Song
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yan Li
- Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Intelligent Monitoring, Early Warning, and Prevention and Control of Infectious Diseases, Shandong Institute of Preventive Medicine, Jinan, China
| | - Kexin Zong
- Department of Infectious Diseases, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Ti Liu
- Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Intelligent Monitoring, Early Warning, and Prevention and Control of Infectious Diseases, Shandong Institute of Preventive Medicine, Jinan, China
| | - Junming He
- Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Guoyong Mei
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Haijun Du
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhiqiang Xia
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Mi Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Juan Song
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chen Gao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dong Xia
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Guangyu Xue
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wenyan Tian
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yinli Qu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zengqiang Kou
- Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Intelligent Monitoring, Early Warning, and Prevention and Control of Infectious Diseases, Shandong Institute of Preventive Medicine, Jinan, China
| | - Zhongjun Dong
- The First Affiliated Hospital of Anhui Medical University and Institute of Clinical Immunology, Anhui Medical University, Hefei, China
- State Key Laboratory of Membrane Biology, School of Medicine and Institute for Immunology, Tsinghua University, Beijing, China
| | - Jun Han
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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Wong YC, Hang Ho DH, Zhou R, Zhang R, Woo KF, Cheng WY, Wang T, Du Y, Polly Pang KP, Tai WK, Jin X, Chen Z, Ngai Hung IF. An open-label study on the safety and immunogenicity of a PD-1-enhanced DNA vaccine used as a T cell booster for COVID-19. EBioMedicine 2025; 115:105699. [PMID: 40245494 DOI: 10.1016/j.ebiom.2025.105699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2024] [Revised: 03/21/2025] [Accepted: 03/31/2025] [Indexed: 04/19/2025] Open
Abstract
BACKGROUND Inducing T cell responses by vaccines among elderly has been a long-standing challenge. There is a need for effective COVID-19 vaccines to boost waning immunity against emerging SARS-CoV-2 variants, especially for the elderly. This study investigated the safety and immunogenicity of a PD-1-enhanced COVID-19 DNA vaccine (ICCOV™), as a booster vaccine in healthy adults (aged 18-59 years) and elderly (aged 60-75 years). METHODS This open-label, non-randomised Phase 2 study enrolled healthy participants aged 18-75 years who had previously been vaccinated with Sinovac CoronaVac, Pfizer-bioNTech Comirnaty vaccines, or both. Participants were stratified into four cohorts according to age, primary vaccination, and COVID-19 infection history, namely Adult-CoronaVac, Adult-Comirnaty, Adult-Mixed, and Elderly-Mixed cohorts. Participants were administered with a single dose of 2 mg ICCOV intramuscularly followed by electroporation using the proprietary TERESA-EPT-I device. Participants were followed up for 60 days. The primary endpoint was T cell immunogenicity within 28 days post-ICCOV vaccination. The secondary endpoints were safety, T cell and antibody responses within 60 days post-vaccination (ClinicalTrials.govNCT05904054). FINDINGS The study was conducted at Gleneagles Hospital Hong Kong between 30 June and 30 November 2023. In total, 31 participants were enrolled across the Adult-Comirnaty (n = 4), Adult-Mixed (n = 15), and Elderly-Mixed (n = 12) cohorts. All enrolled participants completed the study and were included in safety and immunogenicity analyses. Among these participants, 2 from the Adult-Comirnaty cohort, 9 from the Adult-Mixed cohort, and 4 from the Elderly-Mixed cohort reported a total of 31 adverse events, all in grade 1-2. Pain at the administration site was the most frequently reported (38·7%). The proportion of participants demonstrating an increase of SARS-CoV-2-specific ELISpot T cell responses within 28 days post ICCOV vaccination was 100% (4/4), 80% (12/15), and 75% (9/12) in Adult-Comirnaty, Adult-Mixed, and Elderly-Mixed cohorts, respectively. Single ICCOV vaccination elicited SARS-CoV-2-specific, polyfunctional CD8+ and CD4+ T cells against both ancestral and Omicron strains in all cohorts. The magnitude of responses was not inferior in the elderly, compared to adults. No elevation of antibody responses was detected. INTERPRETATION Single PD-1-enhanced ICCOV booster DNA vaccination did not show major safety concerns. The ICCOV booster elicited cross-reactive T cell responses to multiple SARS-CoV-2 strains, including in the elderly. This report demonstrates the T-cell boosting immunogenicity of ICCOV in the susceptible elderly population. FUNDING Clinical Translational Catalyst, Hong Kong Science & Technology Parks Corporation.
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Affiliation(s)
- Yik Chun Wong
- AIDS Institute, Department of Microbiology and Pandemic Research Alliance Unit, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region of the People's Republic of China; Immuno Cure Holding (HK) Limited, Hong Kong Science Park, Hong Kong Special Administrative Region of the People's Republic of China
| | - Derek Hoi Hang Ho
- Immuno Cure Holding (HK) Limited, Hong Kong Science Park, Hong Kong Special Administrative Region of the People's Republic of China
| | - Runhong Zhou
- AIDS Institute, Department of Microbiology and Pandemic Research Alliance Unit, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region of the People's Republic of China
| | - Ruiqi Zhang
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of the People's Republic of China
| | - Kin Fai Woo
- AIDS Institute, Department of Microbiology and Pandemic Research Alliance Unit, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region of the People's Republic of China; Immuno Cure Holding (HK) Limited, Hong Kong Science Park, Hong Kong Special Administrative Region of the People's Republic of China
| | - Wing Yin Cheng
- Immuno Cure Holding (HK) Limited, Hong Kong Science Park, Hong Kong Special Administrative Region of the People's Republic of China
| | - Ting Wang
- Immuno Cure Holding (HK) Limited, Hong Kong Science Park, Hong Kong Special Administrative Region of the People's Republic of China
| | - Yanhua Du
- Immuno Cure Holding (HK) Limited, Hong Kong Science Park, Hong Kong Special Administrative Region of the People's Republic of China
| | - Ka Po Polly Pang
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of the People's Republic of China
| | - Wai Ki Tai
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of the People's Republic of China
| | - Xia Jin
- Immuno Cure Holding (HK) Limited, Hong Kong Science Park, Hong Kong Special Administrative Region of the People's Republic of China.
| | - Zhiwei Chen
- AIDS Institute, Department of Microbiology and Pandemic Research Alliance Unit, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region of the People's Republic of China; State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region of the People's Republic of China; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region of the People's Republic of China.
| | - Ivan Fan Ngai Hung
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of the People's Republic of China.
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van de Sandt CE, McQuilten HA, Aban M, Nguyen THO, Valkenburg SA, Grant EJ, Sant S, Rossjohn J, Gras S, Crowe J, Kedzierska K. Gradual changes within long-lived influenza virus-specific CD8 + T cells are associated with the loss of public TCR clonotypes in older adults. EBioMedicine 2025; 115:105697. [PMID: 40250246 PMCID: PMC12036069 DOI: 10.1016/j.ebiom.2025.105697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2024] [Revised: 03/27/2025] [Accepted: 03/29/2025] [Indexed: 04/20/2025] Open
Abstract
BACKGROUND Susceptibility to life-threatening influenza increases with age, partly due to declining immunity. Frequency, phenotype and T-cell receptor (TCR) composition of influenza-specific CD8+ T-cells directed at the prominent A2/M158 influenza epitope change across the human lifespan. METHODS We investigated longevity and mechanisms underlying age-related changes in influenza-specific TCR repertoires by performing longitudinal analyses in young and older adults across 7-12 years within A2/M158+CD8+ T-cells using peptide-HLA tetramers directly ex vivo. Paired TCRαβ-chains were used to track clonotypes over time within individuals. FINDINGS Expanded public and private TCR clonotypes were long-lived but gradually declined over time. Loss of public clonotypes was initially compensated by expansions of clonotypes expressing public-associated features. Once these public-associated TCR clonotypes were abated in older adults, the void was filled by expansions of less similar private TCR clonotypes. Expanded older private TCR clonotypes also declined over time and were gradually replaced by other private TCR clonotypes with low similarity to public TCR clonotypes detected in adults. INTERPRETATION Despite our relatively small cohort, we provided conclusive evidence that CD8+ T-cells to a single HLA-A2-restricted influenza-epitope are long-lived. However, dynamic changes occur at the clonotypic level, which eventually result in loss of public clonotypes, indicating that T-cell-based influenza vaccines are likely more effective in adults than older adults. FUNDING This research was supported by the National Health and Medical Research Council (#1173871, #1159272), the Australian Research Council (#190102704), European Union's Horizon 2020 (#792532), the University of Melbourne. Funders had no role in design, analysis or reporting of the study.
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MESH Headings
- Humans
- CD8-Positive T-Lymphocytes/immunology
- CD8-Positive T-Lymphocytes/metabolism
- Influenza, Human/immunology
- Influenza, Human/virology
- Aged
- Receptors, Antigen, T-Cell/immunology
- Receptors, Antigen, T-Cell/metabolism
- Receptors, Antigen, T-Cell/genetics
- Male
- Female
- Adult
- Middle Aged
- Epitopes, T-Lymphocyte/immunology
- Aged, 80 and over
- Young Adult
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Affiliation(s)
- Carolien E van de Sandt
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia
| | - Hayley A McQuilten
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia
| | - Malet Aban
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Thi H O Nguyen
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia
| | - Sophie A Valkenburg
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia; HKU-Pasteur Research Pole, School of Public Health, The University of Hong Kong, Hong Kong SAR, China
| | - Emma J Grant
- Infection and Immunity Program, Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, VIC 3086, Australia; Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
| | - Sneha Sant
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia
| | - Jamie Rossjohn
- Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Institute of Infection and Immunity, Cardiff University School of Medicine, Cardiff CF14 4XN, UK
| | - Stephanie Gras
- Infection and Immunity Program, Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, VIC 3086, Australia; Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
| | - Jane Crowe
- Deepdene Surgery, Deepdene, VIC 3103, Australia
| | - Katherine Kedzierska
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia.
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Barthez M, Xue B, Zheng J, Wang Y, Song Z, Mu WC, Wang CL, Guo J, Yang F, Ma Y, Wei X, Ye C, Sims N, Martinez-Sobrido L, Perlman S, Chen D. SIRT2 suppresses aging-associated cGAS activation and protects aged mice from severe COVID-19. Cell Rep 2025; 44:115562. [PMID: 40220296 PMCID: PMC12074670 DOI: 10.1016/j.celrep.2025.115562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 04/11/2024] [Accepted: 03/24/2025] [Indexed: 04/14/2025] Open
Abstract
Aging-associated vulnerability to coronavirus disease 2019 (COVID-19) remains poorly understood. Here, we show that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-infected aged mice lacking SIRT2, a cytosolic NAD+-dependent deacetylase, develop more severe disease and show increased mortality, while treatment with an NAD+ booster, 78c, protects aged mice from lethal infection. Mechanistically, we demonstrate that SIRT2 modulates the acetylation of cyclic GMP-AMP synthase (cGAS), an immune sensor for cytosolic DNA, and suppresses aging-associated cGAS activation and inflammation. Furthermore, we show that SARS-CoV-2 infection-induced inflammation is mediated at least in part by ORF3a, which triggers mtDNA release and cGAS activation. Collectively, our study reveals a molecular basis for aging-associated susceptibility to COVID-19 and suggests therapeutic approaches to protect aged populations from severe SARS-CoV-2 infection.
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Affiliation(s)
- Marine Barthez
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Biyun Xue
- Department of Microbiology and Immunology, University of Iowa, Iowa City, IA, USA
| | - Jian Zheng
- Department of Microbiology and Immunology, Center for Predictive Medicine, University of Louisville, Louisville, KY, USA
| | - Yifei Wang
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA; Metabolic Biology Graduate Program, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Zehan Song
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA; Metabolic Biology Graduate Program, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Wei-Chieh Mu
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA; Endocrinology Graduate Program, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Chih-Ling Wang
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Jiayue Guo
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Fanghan Yang
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA; Endocrinology Graduate Program, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Yuze Ma
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Xuetong Wei
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA; Metabolic Biology Graduate Program, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Chengjin Ye
- Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Nicholas Sims
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA
| | | | - Stanley Perlman
- Department of Microbiology and Immunology, University of Iowa, Iowa City, IA, USA; Department of Pediatrics, University of Iowa, Iowa City, IA, USA.
| | - Danica Chen
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA; Metabolic Biology Graduate Program, University of California, Berkeley, Berkeley, CA 94720, USA; Endocrinology Graduate Program, University of California, Berkeley, Berkeley, CA 94720, USA.
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6
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Bachiller S, Vitallé J, Camprubí-Ferrer L, García M, Gallego I, López-García M, Galvá MI, Cañizares J, Rivas-Jeremías I, Díaz-Mateos M, Gasca-Capote C, Moral-Turón C, Galán-Villamor L, Fontillón M, Sobrino S, Cisneros JM, López-Cortés LF, Deierborg T, Ruiz-Mateos E. SARS-CoV-2 post-acute sequelae linked to inflammation via extracellular vesicles. Front Immunol 2025; 16:1501666. [PMID: 40330474 PMCID: PMC12052859 DOI: 10.3389/fimmu.2025.1501666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2024] [Accepted: 03/31/2025] [Indexed: 05/08/2025] Open
Abstract
Background Despite the efficacy of SARS-CoV-2 vaccines in reducing mortality and severe cases of COVID-19, a proportion of survivors experience long-term symptoms, known as post-acute sequelae of SARS-CoV-2 infection (PASC). This study investigates the long-term immunological and neurodegenerative effects associated with extracellular vesicles (EVs) in COVID-19 survivors, 15 months after SARS-CoV-2 infection. Methods 13 Controls and 20 COVID-19 survivors, 15 months after SARS-CoV-2 infection, were recruited. Pro-inflammatory cytokines were analyzed in both plasma and EVs. A deep-immunophenotyping of monocytes, T-cells and dendritic cells (DCs) was performed, along with immunostainings of SARS-CoV-2 in the colon. Results Higher concentrations of pro-inflammatory cytokines and neurofilaments were found in EVs but not in plasma from COVID-19 survivors. Additionally, COVID-19 participants exhibited altered monocyte activation markers and elevated cytokine production upon lipopolysaccharide stimulation. Increased activation markers in CD4+ T-cells and decreased indoleamine 2,3-dioxygenase expression in DCs were observed in COVID-19 participants. Furthermore, the amount of plasmacytoid DCs expressing β7-integrin were higher in COVID-19, potentially associated with the viral persistence observed in the colon. Conclusions COVID-19 survivors exhibit long-term immune dysregulation and neurodegeneration, emphasizing the need for ongoing monitoring of PASC. The cargo of EVs can be a promising tool for early detection of virus-induced neurological disorders.
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Affiliation(s)
- Sara Bachiller
- Institute of Biomedicine of Seville (IBiS), Virgen del Rocio University Hospital, Spanish National Research Council (CSIC), University of Seville, Clinical Unit of Infectious Diseases, Microbiology and Parasitology, Seville, Spain
- Department of Medical Biochemistry, Molecular Biology and Immunology, School of Medicine, University of Seville, Seville, Spain
| | - Joana Vitallé
- Institute of Biomedicine of Seville (IBiS), Virgen del Rocio University Hospital, Spanish National Research Council (CSIC), University of Seville, Clinical Unit of Infectious Diseases, Microbiology and Parasitology, Seville, Spain
| | - Lluís Camprubí-Ferrer
- Experimental Neuroinflammation Laboratory, Department of Experimental Medical Sciences, Lund University, Lund, Sweden
| | - Manuel García
- Institute of Biomedicine of Seville (IBiS), Virgen del Rocio University Hospital, Spanish National Research Council (CSIC), University of Seville, Clinical Unit of Infectious Diseases, Microbiology and Parasitology, Seville, Spain
| | - Isabel Gallego
- Institute of Biomedicine of Seville (IBiS), Virgen del Rocio University Hospital, Spanish National Research Council (CSIC), University of Seville, Clinical Unit of Infectious Diseases, Microbiology and Parasitology, Seville, Spain
- Department of Medical Biochemistry, Molecular Biology and Immunology, School of Medicine, University of Seville, Seville, Spain
| | | | | | | | - Inmaculada Rivas-Jeremías
- Institute of Biomedicine of Seville (IBiS), Virgen del Rocio University Hospital, Spanish National Research Council (CSIC), University of Seville, Clinical Unit of Infectious Diseases, Microbiology and Parasitology, Seville, Spain
| | | | - Carmen Gasca-Capote
- Institute of Biomedicine of Seville (IBiS), Virgen del Rocio University Hospital, Spanish National Research Council (CSIC), University of Seville, Clinical Unit of Infectious Diseases, Microbiology and Parasitology, Seville, Spain
| | - Cristina Moral-Turón
- Institute of Biomedicine of Seville (IBiS), Virgen del Rocio University Hospital, Spanish National Research Council (CSIC), University of Seville, Clinical Unit of Infectious Diseases, Microbiology and Parasitology, Seville, Spain
| | | | - María Fontillón
- Service of Pathological Anatomy, Virgen del Rocío University Hospital, Seville, Spain
| | - Salvador Sobrino
- Digestive Service, Virgen del Rocío University Hospital, Seville, Spain
| | - José Miguel Cisneros
- Institute of Biomedicine of Seville (IBiS), Virgen del Rocio University Hospital, Spanish National Research Council (CSIC), University of Seville, Clinical Unit of Infectious Diseases, Microbiology and Parasitology, Seville, Spain
| | - Luis Fernando López-Cortés
- Institute of Biomedicine of Seville (IBiS), Virgen del Rocio University Hospital, Spanish National Research Council (CSIC), University of Seville, Clinical Unit of Infectious Diseases, Microbiology and Parasitology, Seville, Spain
| | - Tomas Deierborg
- Experimental Neuroinflammation Laboratory, Department of Experimental Medical Sciences, Lund University, Lund, Sweden
| | - Ezequiel Ruiz-Mateos
- Institute of Biomedicine of Seville (IBiS), Virgen del Rocio University Hospital, Spanish National Research Council (CSIC), University of Seville, Clinical Unit of Infectious Diseases, Microbiology and Parasitology, Seville, Spain
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Yuan X, Zhang L, Li J, Lei L, Chen K, Chu Q, Feng W, Wang X, Cheng Z, Yang Y, Wang Y, Sun H, Song Y, Liu S, Wang X, Wang S, Wang L, Wang X, Xu F, Hu S. Prophylactic effects of nirmatrelvir/ritonavir on reducing complications of cardiac surgery, reinfection, and post-acute sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in patients with previous SARS-CoV-2 infection: a randomized clinical trial (PEP Trial). Sci Bull (Beijing) 2025:S2095-9273(25)00379-2. [PMID: 40288946 DOI: 10.1016/j.scib.2025.04.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2025] [Revised: 02/27/2025] [Accepted: 03/31/2025] [Indexed: 04/29/2025]
Affiliation(s)
- Xin Yuan
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China; Department of Cardiac Surgery, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China
| | - Lihua Zhang
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China
| | - Jingkuo Li
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China
| | - Lubi Lei
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China
| | - Kai Chen
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China; Department of Cardiac Surgery, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China
| | - Qing Chu
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China; Department of Cardiac Surgery, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China
| | - Wei Feng
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China; Department of Cardiac Surgery, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China
| | - Xiaoqi Wang
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China; Department of Cardiac Surgery, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China; Fuwai Yunnan Cardiovascular Hospital, Kunming 650032, China
| | - Zhaoyun Cheng
- Fuwai Central China Cardiovascular Hospital, Zhengzhou 450003, China
| | - Yan Yang
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China; Department of Cardiac Surgery, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China; Fuwai Shenzhen Hospital, Shenzhen 518057, China
| | - Yang Wang
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China; Medical Research and Biometrics Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China
| | - Hansong Sun
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China; Department of Cardiac Surgery, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China
| | - Yunhu Song
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China; Department of Cardiac Surgery, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China
| | - Sheng Liu
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China; Department of Cardiac Surgery, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China
| | - Xianqiang Wang
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China; Department of Cardiac Surgery, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China
| | - Shuiyun Wang
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China; Department of Cardiac Surgery, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China
| | - Liqing Wang
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China; Department of Cardiac Surgery, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China
| | - Xin Wang
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China; Department of Cardiac Surgery, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China
| | - Fei Xu
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China; Department of Cardiac Surgery, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China
| | - Shengshou Hu
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China; Department of Cardiac Surgery, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10037, China.
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Kunath P, Pflumm D, Moehrle B, Sakk V, Seidel A, Münch J, Geiger H, Schirmbeck R. Old hematopoietic stem cells retain competence to reconstitute a youthful B cell system that is highly responsive to protein-based vaccination. Immun Ageing 2025; 22:14. [PMID: 40188072 PMCID: PMC11971919 DOI: 10.1186/s12979-025-00507-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2025] [Accepted: 03/24/2025] [Indexed: 04/07/2025]
Abstract
BACKGROUND Ageing-associated remodeling of the murine B cell system is accompanied with a reduction of CD19+ B cells such as follicular B cells (FOB) and an accumulation of age-associated B cells (ABC) or activated B cell subsets. This remodeling is thought to confer an attenuated antibody response, such as to SARS-CoV-2 spike (S) vaccines in both aged mice and humans. To gain insight into the de novo development and function of an old B cell system, we reconstituted young and old immune systems by transferring hematopoietic stem cells (HSCs) from immune-competent young (2-3 months) CD45.1+ donors (DY-HSC) or old (20-24 months) donors (DO-HSC) into T and B cell-deficient young recipient CD45.2+ RAG1-/- mice, followed by protein-based vaccination. RESULTS In the same environment of young RAG1-/- mice, transplanted DO-HSCs compared to DY-HSCs reconstituted lower numbers of CD19+ B cells and CD45.1+ cells, though the engraftment of donor-derived HSCs in the young bone marrow (BM) was very similar. Furthermore, indicative for youthful and unchallenged B cell systems, and in contrast to aged mice, very low levels of antigen-experienced memory B cells or age-associated B cells (ABC) developed in both DY-HSC and DO-HSC hosts. The commercially available recombinant SARS-CoV-2 S vaccine (NVX-CoV2373) induced lower IgG+ S-antibody titers and pseudovirus neutralization activity in old compared to young mice. In contrast, very similar high IgG+ S-antibody titers were induced in DO-HSC and DY-HSC hosts, and pseudovirus neutralization activity was even enhanced in DO-HSC compared with DY-HSC hosts. CONCLUSIONS Both DO-HSCs and DY-HSCs established in the young recipient BM to a similar extend, suggesting that the concomitant reduction in the de novo reconstitution of CD19+ B cells in DO-HSC vs. DY-HSC transplanted animals is specifically related to old HSCs. DO-HSCs and DY-HSCs reconstitute very similar unchallenged B cell systems that efficiently elicit antigen-specific IgG antibodies by protein-based vaccination. Old HSCs thus retain competence to reconstitute a youthful and functional B cell system, at least in the young environment of transplanted RAG1-/- mice. This suggests that it is primarily age-related factors, and not HSCs per se, that influence the composition and functionality of the old B cell system.
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Affiliation(s)
- Paul Kunath
- Department of Internal Medicine I, University Hospital of Ulm, Ulm, Germany
| | - Dominik Pflumm
- Department of Internal Medicine I, University Hospital of Ulm, Ulm, Germany
| | - Bettina Moehrle
- Institute of Molecular Medicine, Ulm University, Ulm, Germany
| | - Vadim Sakk
- Institute of Molecular Medicine, Ulm University, Ulm, Germany
| | - Alina Seidel
- Institute of Molecular Virology, Ulm University Medical Center, Ulm, Germany
| | - Jan Münch
- Institute of Molecular Virology, Ulm University Medical Center, Ulm, Germany
| | - Hartmut Geiger
- Institute of Molecular Medicine, Ulm University, Ulm, Germany
| | - Reinhold Schirmbeck
- Department of Internal Medicine I, University Hospital of Ulm, Ulm, Germany.
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Kasamatsu A, Ohfuji S, Suita A, Kondo K, Nakata H, Kita T, Deguchi A, Fujimoto M, Iba K, Sakamoto H, Iwasaka K, Sakamoto N, Sakamoto H, Yodoi Y, Kido Y, Nakagama Y, Konishi A, Mukai E, Matsumoto K, Matsuura T, Kase T, Kakeya H, Fukushima W, Hirota Y. Durability of antibody titers and associated factors after the booster dose of COVID-19 mRNA vaccination in Japanese SARS-CoV-2 infection-naive residents in geriatric intermediate care facilities. Geriatr Gerontol Int 2025; 25:588-597. [PMID: 40087896 PMCID: PMC11973011 DOI: 10.1111/ggi.70028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2024] [Revised: 02/05/2025] [Accepted: 02/26/2025] [Indexed: 03/17/2025]
Abstract
AIM Elderly adults are at higher risk for severe COVID-19 infection. This multicenter, prospective cohort study assessed immunogenicity after COVID-19 vaccinations in elderly residents compared with staff in geriatric intermediate care facilities. Predictors of lower antibody titers were also examined. METHODS Fifty-four residents and 117 staff who had received three doses of the COVID-19 mRNA vaccine between March 2021 and September 2022 were included. Anti-receptor binding domain antibody titers were measured 3-4 weeks and 6 months after the vaccinations. Adjusted geometric mean titers (GMT) were calculated using multivariable linear mixed effects models. RESULTS After the first dose, residents had a significantly lower adjusted GMT than did staff (115 vs. 267 AU/mL, P < 0.01), whereas the adjusted GMT of residents was comparable to that of staff after the third dose (14 178 vs. 12 159 AU/mL, P = 0.63). However, 6 months later, the adjusted GMT of residents was less than half that of staff (1645 vs. 4302 AU/mL, P < 0.01). In residents, steroid users had a significantly lower adjusted GMT than did steroid nonusers. CONCLUSIONS The third dose of mRNA vaccine boosted the immune response of elderly residents. However, their antibody titers, particularly in steroid users, were highly attenuated 6 months after the last vaccination. For this population, attention should be focused on additional vaccinations. Geriatr Gerontol Int 2025; 25: 588-597.
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Affiliation(s)
- Ayane Kasamatsu
- Department of Public HealthOsaka City University Graduate School of MedicineOsakaJapan
| | - Satoko Ohfuji
- Department of Public HealthOsaka Metropolitan University Graduate School of MedicineOsakaJapan
- Research Center for Infectious Disease SciencesOsaka Metropolitan University Graduate School of MedicineOsakaJapan
| | - Asae Suita
- Department of Public HealthOsaka Metropolitan University Graduate School of MedicineOsakaJapan
| | - Kyoko Kondo
- Management BureauOsaka Metropolitan University HospitalOsakaJapan
| | - Hiroyuki Nakata
- Keai Long‐Term Care Health Facility for the ElderlyOsakaJapan
| | - Tetsuya Kita
- Yuai Long‐Term Care Health Facility for the ElderlyOsakaJapan
| | - Akifumi Deguchi
- Kouseien Long‐Term Care Health Facility for the ElderlyOsakaJapan
| | - Mikio Fujimoto
- Tamagushi‐sumire‐en Long‐Term Care Health Facility for the ElderlyOsakaJapan
| | - Kazuko Iba
- Tsukumo Long‐Term Care Health Facility for the ElderlyOsakaJapan
| | - Hideki Sakamoto
- Sayamanosato Long‐Term Care Health Facility for the ElderlyOsakaJapan
| | - Kaori Iwasaka
- Sakuragawa Long‐Term Care Health Facility for the ElderlyOsakaJapan
| | - Noboru Sakamoto
- Yukyuen Long‐Term Care Health Facility for the ElderlyOsakaJapan
| | - Hikaru Sakamoto
- Yukyuen Long‐Term Care Health Facility for the ElderlyOsakaJapan
| | - Yoshiko Yodoi
- Kuwanomi Long‐Term Care Health Facility for the ElderlyOsakaJapan
| | - Yasutoshi Kido
- Research Center for Infectious Disease SciencesOsaka Metropolitan University Graduate School of MedicineOsakaJapan
- Department of Virology and ParasitologyOsaka Metropolitan University Graduate School of MedicineOsakaJapan
- Osaka International Research Center for Infectious DiseasesOsakaJapan
| | - Yu Nakagama
- Research Center for Infectious Disease SciencesOsaka Metropolitan University Graduate School of MedicineOsakaJapan
- Department of Virology and ParasitologyOsaka Metropolitan University Graduate School of MedicineOsakaJapan
| | - Ayako Konishi
- Department of Public HealthOsaka City University Graduate School of MedicineOsakaJapan
| | - Emiko Mukai
- Department of Public HealthOsaka Metropolitan University Graduate School of MedicineOsakaJapan
| | - Kazuhiro Matsumoto
- Department of Public HealthOsaka Metropolitan University Graduate School of MedicineOsakaJapan
| | - Tomoka Matsuura
- Department of Public HealthOsaka Metropolitan University Graduate School of MedicineOsakaJapan
- Research Center for Infectious Disease SciencesOsaka Metropolitan University Graduate School of MedicineOsakaJapan
| | - Tetsuo Kase
- Department of Public HealthOsaka Metropolitan University Graduate School of MedicineOsakaJapan
- Research Center for Infectious Disease SciencesOsaka Metropolitan University Graduate School of MedicineOsakaJapan
| | - Hiroshi Kakeya
- Research Center for Infectious Disease SciencesOsaka Metropolitan University Graduate School of MedicineOsakaJapan
- Osaka International Research Center for Infectious DiseasesOsakaJapan
- Department of Infection Control ScienceOsaka Metropolitan University Graduate School of MedicineOsakaJapan
| | - Wakaba Fukushima
- Department of Public HealthOsaka Metropolitan University Graduate School of MedicineOsakaJapan
- Research Center for Infectious Disease SciencesOsaka Metropolitan University Graduate School of MedicineOsakaJapan
- Osaka International Research Center for Infectious DiseasesOsakaJapan
| | - Yoshio Hirota
- Clinical Epidemiology Research Center, SOUSEIKAI Medical Group (Medical Co. LTA)FukuokaJapan
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Lei Y, Tsang JS. Systems Human Immunology and AI: Immune Setpoint and Immune Health. Annu Rev Immunol 2025; 43:693-722. [PMID: 40279304 DOI: 10.1146/annurev-immunol-090122-042631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/27/2025]
Abstract
The immune system, critical for human health and implicated in many diseases, defends against pathogens, monitors physiological stress, and maintains tissue and organismal homeostasis. It exhibits substantial variability both within and across individuals and populations. Recent technological and conceptual progress in systems human immunology has provided predictive insights that link personal immune states to intervention responses and disease susceptibilities. Artificial intelligence (AI), particularly machine learning (ML), has emerged as a powerful tool for analyzing complex immune data sets, revealing hidden patterns across biological scales, and enabling predictive models for individualistic immune responses and potentially personalized interventions. This review highlights recent advances in deciphering human immune variation and predicting outcomes, particularly through the concepts of immune setpoint, immune health, and use of the immune system as a window for measuring health. We also provide a brief history of AI; review ML modeling approaches, including their applications in systems human immunology; and explore the potential of AI to develop predictive models and personal immune state embeddings to detect early signs of disease, forecast responses to interventions, and guide personalized health strategies.
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Affiliation(s)
- Yona Lei
- Yale Center for Systems and Engineering Immunology and Department of Immunobiology, Yale University School of Medicine, New Haven, Connecticut, USA;
| | - John S Tsang
- Yale Center for Systems and Engineering Immunology and Department of Immunobiology, Yale University School of Medicine, New Haven, Connecticut, USA;
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA
- Chan Zuckerberg Biohub NY, New Haven, Connecticut, USA
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Hodgson D, Liu Y, Carolan L, Mahanty S, Subbarao K, Sullivan SG, Fox A, Kucharski A. Memory B cell proliferation drives differences in neutralising responses between ChAdOx1 and BNT162b2 SARS-CoV-2 vaccines. Front Immunol 2025; 16:1487066. [PMID: 40196126 PMCID: PMC11974255 DOI: 10.3389/fimmu.2025.1487066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2024] [Accepted: 03/03/2025] [Indexed: 04/09/2025] Open
Abstract
Introduction Vaccination against COVID-19 has been pivotal in reducing the global burden of the disease. However, Phase III trial results and observational studies underscore differences in efficacy across vaccine technologies and dosing regimens. Notably, mRNA vaccines have exhibited superior effectiveness compared to Adenovirus (AdV) vaccines, especially with extended dosing intervals. Methods Using in-host mechanistic modelling, this study elucidates these variations and unravels the biological mechanisms shaping the immune responses at the cellular level. We used data on the change in memory B cells, plasmablasts, and antibody titres after the second dose of a COVID-19 vaccine for Australian healthcare workers. Alongside this dataset, we constructed a kinetic model of humoral immunity which jointly captured the dynamics of multiple immune markers, and integrated hierarchical effects into this kinetics model, including age, dosing schedule, and vaccine type. Results Our analysis estimated that mRNA vaccines induced 2.1 times higher memory B cell proliferation than AdV vaccines after adjusting for age, interval between doses and priming dose. Additionally, extending the duration between the second vaccine dose and priming dose beyond 28 days boosted neutralising antibody production per plasmablast concentration by 30%. We also found that antibody responses after the second dose were more persistent when mRNA vaccines were used over AdV vaccines and for longer dosing regimens. Discussion Reconstructing in-host kinetics in response to vaccination could help optimise vaccine dosing regimens, improve vaccine efficacy in different population groups, and inform the design of future vaccines for enhanced protection against emerging pathogens.
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Affiliation(s)
- David Hodgson
- Centre of Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Yi Liu
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Louise Carolan
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Siddhartha Mahanty
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Kanta Subbarao
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Sheena G. Sullivan
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
- School of Clinical Sciences, Monash University, Melbourne, VIC, Australia
| | - Annette Fox
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Adam Kucharski
- Centre of Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
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12
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Piano Mortari E, Ferrucci F, Zografaki I, Carsetti R, Pacelli L. T and B cell responses in different immunization scenarios for COVID-19: a narrative review. Front Immunol 2025; 16:1535014. [PMID: 40170841 PMCID: PMC11959168 DOI: 10.3389/fimmu.2025.1535014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2024] [Accepted: 02/25/2025] [Indexed: 04/03/2025] Open
Abstract
Vaccines against COVID-19 have high efficacy and low rates of adverse events. However, none of the available vaccines provide sterilizing immunity, and reinfections remain possible. This review aims to summarize the immunological responses elicited by different immunization strategies, examining the roles of homologous and heterologous vaccination and hybrid immunity. Homologous vaccination regimens exhibit considerable variation in immune responses depending on the vaccine platform, particularly concerning antibody titers, B cell activation, and T cell responses. mRNA vaccines, such as mRNA-1273 and BNT162b2, consistently generate higher and more durable levels of neutralizing antibodies and memory B cells compared to adenovirus-based vaccines like Ad26.COV2.S and ChAdOx1. The combination of two distinct vaccine platforms, each targeting different immune pathways, seems to be more effective in promoting long-lasting B cell responses and potent T cell responses. The high heterogeneity of the available studies, the different dosing schemes, the succession of new variants, and the subjects' immunological background do not allow for a definitive conclusion. Overall, heterologous vaccination strategies, combining sequentially viral vector and mRNA may deliver a more balanced and robust humoral and cellular immune response compared to homologous regimens. Hybrid immunity, which arises from SARS-CoV-2 infection preceded or followed by vaccination produces markedly stronger immune responses than either vaccination or infection alone. The immune response to SARS-CoV-2 variants of concern varies depending on both the vaccine platform and prior infection status. Hybrid immunity leads to a broader antibody repertoire, providing enhanced neutralization of variants of concern. Heterologous vaccination and hybrid immunity may provide further opportunities to enhance immune responses, offering broader protection and greater durability of immunity. However, from all-cause mortality, symptomatic or severe COVID, and serious adverse events at present it is not possible to infer different effects between homologous and heterologous schemes. Next-generation vaccines could involve tweaks to these designs or changes to delivery mechanisms that might improve performance.
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Affiliation(s)
- Eva Piano Mortari
- B Lymphocytes Unit, Bambino Gesù Children’s Hospital, istituto di ricovero e cura a carattere scientifico (IRCCS), Rome, Italy
| | | | - Irini Zografaki
- mRNA & Antivirals Medical & Scientific Affairs International Developed Markets, Pfizer, Athens, Greece
| | - Rita Carsetti
- B Lymphocytes Unit, Bambino Gesù Children’s Hospital, istituto di ricovero e cura a carattere scientifico (IRCCS), Rome, Italy
| | - Luciano Pacelli
- Medical Department, Internal Medicine, Pfizer s.r.l., Rome, Italy
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13
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Bourial A, Lahlou W, Rghioui M, Louraoui SM, El Azhari A, Guessous F. An Exceptional Case of a Supra-tentorial Streptococcus Salivarius Brain Abscess-A Case Report. CLINICAL MEDICINE INSIGHTS-CASE REPORTS 2025; 18:11795476251325803. [PMID: 40103915 PMCID: PMC11915240 DOI: 10.1177/11795476251325803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Accepted: 02/19/2025] [Indexed: 03/20/2025]
Abstract
Introduction During the COVID-19 pandemic, incidence of brain abscesses is difficult to assess. Numerous studies reported benign and severe post SARS-CoV-2 vaccine side effects, including rare cases of brain abscesses associated with COVID-19 or Anti-SARS-CoV-2 vaccines. Here in, we report what we believe to be, up to date, the fourth known case in the medical literature of a streptococcus salivarius brain abscess, the first intra parenchymatous or supra-tentorial streptococcus salivarius brain abscess and also the first that occurs following an anti-SARS-CoV-2 vaccine. Case presentation We describe the case of a north african 63-year-old man with an unremarkable medical history except for recent anti-SARS-CoV-2 vaccinations. Following the administration of a third anti-SARS-CoV-2 booster vaccine, the patient developed neurological symptoms, including left hemiparesis, facial palsy, vertigo, and balance issues. Imaging studies revealed a right temporo-parietal lesion consistent with intracranial suppuration. Stereotaxic cerebral biopsy confirmed the presence of purulent content, indicating a brain abscess caused by multi-sensitive streptococcus salivarius. Conclusion Sepsis-induced immunodepression appears to be a consequence of severe inflammatory state, as it dysregulates leukocytes population and results in serious infections. A plausible hypothesis is that a previous stress such as anti-SARS-CoV-2 vaccination could lead to the development of a streptococcus salivarius septicemia. In light of the available evidence and research findings, no definitive conclusion can be drawn regarding any potential link between anti-SARS-CoV-2 vaccines and the physiopathology of sepsis-induced immunodepression.
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Affiliation(s)
- Abderrahim Bourial
- Department of Oto-Laryngology, Cheikh Khalifa International University Hospital, Mohammed VI University of Sciences and Health (UM6SS), Casablanca, Morocco
- Cheikh Khalifa International University Hospital, Mohammed VI University of Sciences and Health (UM6SS), Casablanca, Morocco
| | - Wahib Lahlou
- Cheikh Khalifa International University Hospital, Mohammed VI University of Sciences and Health (UM6SS), Casablanca, Morocco
| | - Mounir Rghioui
- Department of Neurosurgery, Cheikh Khalifa International University Hospital, Mohammed VI University of Sciences and Health (UM6SS), Casablanca, Morocco
| | - Sidi Mamoun Louraoui
- Department of Neurosurgery, Cheikh Khalifa International University Hospital, Mohammed VI University of Sciences and Health (UM6SS), Casablanca, Morocco
| | - Abdessamad El Azhari
- Department of Neurosurgery, Cheikh Khalifa International University Hospital, Mohammed VI University of Sciences and Health (UM6SS), Casablanca, Morocco
| | - Fadila Guessous
- Department of Microbiology, Immunology and Cancer Biology, School of Medicine, University of Virginia, Charlottesville, VA, USA
- Department of Biological Sciences, Faculty of Medicine, Mohammed VI University of Sciences and Health (UM6SS), Casablanca, Morocco
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14
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Sonehara K, Uwamino Y, Saiki R, Takeshita M, Namba S, Uno S, Nakanishi T, Nishimura T, Naito T, Sato G, Kanai M, Liu A, Uchida S, Kurafuji T, Tanabe A, Arai T, Ohno A, Shibata A, Tanaka S, Wakui M, Kashimura S, Tomi C, Hara A, Yoshikawa S, Gotanda K, Misawa K, Tanaka H, Azekawa S, Wang QS, Edahiro R, Shirai Y, Yamamoto K, Nagao G, Suzuki T, Kiyoshi M, Ishii-Watabe A, Higashiue S, Kobayashi S, Yamaguchi H, Okazaki Y, Matsumoto N, Masumoto A, Koga H, Kanai A, Oda Y, Suzuki Y, Matsuda K, Kitagawa Y, Koike R, Kimura A, Kumanogoh A, Yoshimura A, Imoto S, Miyano S, Kanai T, Fukunaga K, Hasegawa N, Murata M, Matsushita H, Ogawa S, Okada Y, Namkoong H. Germline variants and mosaic chromosomal alterations affect COVID-19 vaccine immunogenicity. CELL GENOMICS 2025; 5:100783. [PMID: 40043710 PMCID: PMC11960526 DOI: 10.1016/j.xgen.2025.100783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Revised: 11/27/2024] [Accepted: 02/06/2025] [Indexed: 03/15/2025]
Abstract
Vaccine immunogenicity is influenced by the vaccinee's genetic background. Here, we perform a genome-wide association study of vaccine-induced SARS-CoV-2-specific immunoglobulin G (IgG) antibody titers and T cell immune responses in 1,559 mRNA-1273 and 537 BNT162b2 vaccinees of Japanese ancestry. SARS-CoV-2-specific antibody titers are associated with the immunoglobulin heavy chain (IGH) and major histocompatibility complex (MHC) locus, and T cell responses are associated with MHC. The lead variants at IGH contain a population-specific missense variant (rs1043109-C; p.Leu192Val) in the immunoglobulin heavy constant gamma 1 gene (IGHG1), with a strong decreasing effect (β = -0.54). Antibody-titer-associated variants modulate circulating immune regulatory proteins (e.g., LILRB4 and FCRL6). Age-related hematopoietic expanded mosaic chromosomal alterations (mCAs) affecting MHC and IGH also impair antibody production. MHC-/IGH-affecting mCAs confer infectious and immune disease risk, including sepsis and Graves' disease. Impacts of expanded mosaic loss of chromosomes X/Y on these phenotypes were examined. Altogether, both germline and somatic mutations contribute to adaptive immunity functions.
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Affiliation(s)
- Kyuto Sonehara
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan; Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yoshifumi Uwamino
- Department of Laboratory Medicine, Keio University School of Medicine, Tokyo, Japan.
| | - Ryunosuke Saiki
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan
| | - Masaru Takeshita
- Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shinichi Namba
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan; Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Shunsuke Uno
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | - Tomoko Nakanishi
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Japan Society for the Promotion of Science, Tokyo, Japan
| | - Tomoyasu Nishimura
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan; Keio University Health Center, Shinjuku-ku, Tokyo, Japan
| | - Tatsuhiko Naito
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan; Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Go Sato
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan; Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita, Japan
| | - Masahiro Kanai
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland; Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Aoxing Liu
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sho Uchida
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | | | - Akiko Tanabe
- Clinical Laboratory, Keio University Hospital, Tokyo, Japan
| | - Tomoko Arai
- Clinical Laboratory, Keio University Hospital, Tokyo, Japan
| | - Akemi Ohno
- Clinical Laboratory, Keio University Hospital, Tokyo, Japan
| | - Ayako Shibata
- Department of Laboratory Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shiho Tanaka
- Department of Laboratory Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Masatoshi Wakui
- Department of Laboratory Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shoko Kashimura
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | - Chiharu Tomi
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | - Akemi Hara
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | - Shiori Yoshikawa
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | - Keiko Gotanda
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | - Kana Misawa
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan; Division of Pharmacodynamics, Keio University Faculty of Pharmacy, Tokyo, Japan
| | - Hiromu Tanaka
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shuhei Azekawa
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Qingbo S Wang
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Ryuya Edahiro
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan; Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Yuya Shirai
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan; Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan; Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
| | - Kenichi Yamamoto
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan; Department of Pediatrics, Osaka University Graduate School of Medicine, Suita, Japan; Division of Health Science, Osaka University Graduate School of Medicine, Suita, Japan
| | - Genta Nagao
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Takuo Suzuki
- Division of Biological Chemistry and Biologicals, National Institute of Health Sciences, Kanagawa, Japan
| | - Masato Kiyoshi
- Division of Biological Chemistry and Biologicals, National Institute of Health Sciences, Kanagawa, Japan
| | - Akiko Ishii-Watabe
- Division of Biological Chemistry and Biologicals, National Institute of Health Sciences, Kanagawa, Japan
| | | | | | | | - Yasushi Okazaki
- Diagnostics and Therapeutics of Intractable Diseases, Intractable Disease Research Center, Graduate School of Medicine, Juntendo University, Tokyo, Japan
| | - Naoyuki Matsumoto
- Diagnostics and Therapeutics of Intractable Diseases, Intractable Disease Research Center, Graduate School of Medicine, Juntendo University, Tokyo, Japan
| | | | | | - Akinori Kanai
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan
| | - Yoshiya Oda
- Department of Lipidomics, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan
| | - Yutaka Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan
| | - Koichi Matsuda
- Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Yuko Kitagawa
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Ryuji Koike
- Health Science Research and Development Center (HeRD), Tokyo Medical and Dental University, Tokyo, Japan
| | - Akinori Kimura
- Institute of Research, Tokyo Medical and Dental University, Tokyo, Japan
| | - Atsushi Kumanogoh
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan; Department of Immunopathology, Immunology Frontier Research Center, Osaka University, Suita, Japan
| | - Akihiko Yoshimura
- Department of Microbiology and Immunology, Keio University School of Medicine, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Takanori Kanai
- Division of Gastroenterology and Hepatology, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Koichi Fukunaga
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Naoki Hasegawa
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | - Mitsuru Murata
- Department of Laboratory Medicine, Keio University School of Medicine, Tokyo, Japan; Research Center of Clinical Medicine, International University of Health and Welfare, Tokyo, Japan
| | - Hiromichi Matsushita
- Department of Laboratory Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan; Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan; Department of Medicine, Center for Hematology and Regenerative Medicine, Karolinska Institute, Stockholm, Sweden
| | - Yukinori Okada
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan; Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan; Premium Research Institute for Human Metaverse Medicine (WPI-PRIMe), Osaka University, Suita, Japan.
| | - Ho Namkoong
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan.
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15
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Ma Y, Du Y, Yang J, Wang H, Lin X. Effect of Inactivated Vaccines Against SARS-CoV-2 on Immunogenicity Outcome. Disaster Med Public Health Prep 2025; 19:e50. [PMID: 40033891 DOI: 10.1017/dmp.2024.331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2025]
Abstract
OBJECTIVES The purpose of this study was to measure and examine the levels of IgG, IgM, and Spike antibody induced by inactivated vaccines, including CoronaVac and BBIBP-CorV. METHODS Two groups of healthy adults over 18 years old (50 participants per group), who had previously received 1 dose of either BBIBP-CorV or CoronaVac and receiving either a homologous booster of BBIBP-CorV or a heterologous booster of CoronaVac. Serum IgG, IgM, and Spike antibody levels against SARS-COV-2 were measured using magnetic particle chemiluminescence immunoassay and the ELISA method. RESULTS The results showed that both spike antibody and IgG/IgM antibodies elicited by a CoronaVac booster following 1 dose of BBIBP-CorV were significantly higher than those elicited by either a homologous BBIBP-CorV booster or a heterologous BBIBP-CorV booster. The Spike antibody against SARS-COV-2 induced by the heterologous CoronaVac booster reached 200.3, which is substantially greater than that induced by the homologous BBIBP-CorV booster (127.5 pg/mL). Conversely, the Spike antibody against SARS-COV-2 induced by the heterologous BBIBP-CorV booster reached 53.93 pg/mL, which is substantially greater than that induced by the homologous CoronaVac booster (9.60 pg/mL). CONCLUSIONS In summary, CoronaVac is immunogenic as a booster dose following 1 dose of BBIBP-CorV and is immunogenically superior to both the homologous booster and the heterologous BBIBP-CorV booster.
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Affiliation(s)
- Yuke Ma
- School of Clinical Medicine, Henan University, Kaifeng, China
| | - Yukuan Du
- Department of Clinical Laboratory, Huaihe Hospital of Henan University, Kaifeng, China
| | - Jingnan Yang
- Department of Clinical Laboratory, Huaihe Hospital of Henan University, Kaifeng, China
| | - Huichao Wang
- Department of Nephrology, The First Affiliated Hospital of Henan University, Kaifeng, China
| | - Xuhong Lin
- Department of Clinical Laboratory, Huaihe Hospital of Henan University, Kaifeng, China
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16
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Tort LFL, de Araújo MF, Arantes I, Martins JSCC, Gomes M, de Carvalho FC, de Almeida WAF, Caetano BC, Appolinario LR, Pereira EC, Carvalho J, Miyajima F, Wallau GL, Naveca FG, Alves P, Espíndola O, Brasil P, Resende PC, Bello G, Siqueira MM. SARS-CoV-2 Omicron XBB infections boost cross-variant neutralizing antibodies, potentially explaining the observed delay of the JN.1 wave in some Brazilian regions. IJID REGIONS 2025; 14:100503. [PMID: 39845926 PMCID: PMC11750507 DOI: 10.1016/j.ijregi.2024.100503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2024] [Revised: 11/26/2024] [Accepted: 11/27/2024] [Indexed: 01/24/2025]
Abstract
Objectives: The SARS-CoV-2 JN.1 lineage emerged in late 2023 and quickly replaced the XBB lineages, becoming the predominant Omicron variant worldwide in 2024. We estimate the epidemiologic impact of this SARS-CoV-2 lineage replacement in Brazil and we further assessed the cross-reactive neutralizing antibody (NAb) responses in a cohort of convalescent Brazilian patients infected during 2023. Methods We analyzed the evolution of SARS-CoV-2 lineages and severe acute respiratory infection (SARI) cases in Brazil between July 2023 and March 2024. We evaluated the cross-reactive NAb responses to the JN.1 variant in a cohort of convalescent Brazilian patients before and after infection with XBB.1* lineages. Results JN.1 replaced XBB with similar temporal dynamics across all country regions, although its epidemiologic impact varied between locations. The southeastern, southern, and central-western regions experienced a brief XBB wave around October 2023, shortly before the introduction of JN.1, without any immediate upsurge of SARI cases during viral lineage replacement. By contrast, the northeastern and northern regions did not experience an XBB wave in the latter half of 2023 and displayed a rapid surge in SARI cases driven by the emergence of the JN.1. We found that recent XBB infections in the Brazilian population significantly boosted cross-reactive NAb levels against JN.1. Conclusion The XBB wave observed in the second half of 2023 in some Brazilian states likely acted as a booster for population immunity, providing short-term protection against JN.1 infections and delaying the rise of SARI cases in certain regions of the country.
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Affiliation(s)
- Luis Fernando Lopez Tort
- Laboratory of Respiratory Viruses, Exanthematous and Enteroviruses and Viral Emergencies, Oswaldo Cruz Institute, Rio de Janeiro, Brazil
- Laboratory of Molecular Virology, Biological Sciences Department, CENUR Litoral Norte, Universidad de la República, Salto, Uruguay
| | - Mia Ferreira de Araújo
- Laboratory of Respiratory Viruses, Exanthematous and Enteroviruses and Viral Emergencies, Oswaldo Cruz Institute, Rio de Janeiro, Brazil
| | - Ighor Arantes
- Laboratory of Arbovirus and Hemorragic Viruses, Oswaldo Cruz Institute, Rio de Janeiro, Brazil
| | - Jéssica SCC Martins
- Laboratory of Respiratory Viruses, Exanthematous and Enteroviruses and Viral Emergencies, Oswaldo Cruz Institute, Rio de Janeiro, Brazil
| | - Marcelo Gomes
- Fiocruz, Presidency, Scientific Computing Program, Group of Analytical Methods in Epidemiological Surveillance, Rio de Janeiro, Brazil
- Department of Transmissible Diseases, General Coordination of Surveillance of Covid-19, Influenza and Other Respiratory Viruses, Secretariat of Health and Environmental Surveillance, Ministry of Health, Brasília, Brazil
| | - Felipe Cotrim de Carvalho
- Department of Transmissible Diseases, General Coordination of Surveillance of Covid-19, Influenza and Other Respiratory Viruses, Secretariat of Health and Environmental Surveillance, Ministry of Health, Brasília, Brazil
| | - Walquiria Aparecida Ferreira de Almeida
- Department of Transmissible Diseases, General Coordination of Surveillance of Covid-19, Influenza and Other Respiratory Viruses, Secretariat of Health and Environmental Surveillance, Ministry of Health, Brasília, Brazil
| | - Braulia Costa Caetano
- Laboratory of Respiratory Viruses, Exanthematous and Enteroviruses and Viral Emergencies, Oswaldo Cruz Institute, Rio de Janeiro, Brazil
| | - Luciana R. Appolinario
- Laboratory of Respiratory Viruses, Exanthematous and Enteroviruses and Viral Emergencies, Oswaldo Cruz Institute, Rio de Janeiro, Brazil
| | - Elisa Calvalcante Pereira
- Laboratory of Respiratory Viruses, Exanthematous and Enteroviruses and Viral Emergencies, Oswaldo Cruz Institute, Rio de Janeiro, Brazil
| | - Jéssica Carvalho
- Laboratory of Respiratory Viruses, Exanthematous and Enteroviruses and Viral Emergencies, Oswaldo Cruz Institute, Rio de Janeiro, Brazil
| | - Fábio Miyajima
- Analytical Competence Molecular Epidemiology Laboratory (ACME), Fundação Oswaldo Cruz (FIOCRUZ), Fortaleza, Ceará, Brazil
| | - Gabriel Luz Wallau
- Department of Entomology & Bioinformatics Center, Aggeu Magalhães Institute, FIOCRUZ, S/N Professor Moraes Rego Ave., Pernambuco, Brazil
- Department of Arbovirology, Bernhard Nocht Institute for Tropical Medicine, Who Collaborating Center for Arbovirus and Hemorrhagic Fever Reference and Research. National Reference Center for Tropical Infectious Diseases, Hamburg, Germany
| | - Felipe Gomes Naveca
- Laboratory of Arbovirus and Hemorragic Viruses, Oswaldo Cruz Institute, Rio de Janeiro, Brazil
- Laboratory of Ecology of Transmissible Diseases of Amazônia, Leônidas e Maria Deane Institute, Amazonas, Brazil
| | - Pedro Alves
- Laboratory of Immunology of Viral diseases, René Rachou Institute, Minas Gerais, Brazil
| | - Otávio Espíndola
- Laboratory of Clinical Research for Acute Febrile Illnesses, Evandro Chagas National Institute of Infectious Diseases, Rio de Janeiro, Brazil
| | - Patricia Brasil
- Laboratory of Clinical Research for Acute Febrile Illnesses, Evandro Chagas National Institute of Infectious Diseases, Rio de Janeiro, Brazil
| | - Paola Cristina Resende
- Laboratory of Respiratory Viruses, Exanthematous and Enteroviruses and Viral Emergencies, Oswaldo Cruz Institute, Rio de Janeiro, Brazil
| | - Gonzalo Bello
- Laboratory of Arbovirus and Hemorragic Viruses, Oswaldo Cruz Institute, Rio de Janeiro, Brazil
| | - Marilda Mendonça Siqueira
- Laboratory of Respiratory Viruses, Exanthematous and Enteroviruses and Viral Emergencies, Oswaldo Cruz Institute, Rio de Janeiro, Brazil
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17
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Yang J, Hong W, Shi H, Wang Z, He C, Lei H, Yan H, Alu A, Ao D, Chen Z, Zhou Y, Yang H, Yang Y, Yu W, Tang C, Wang J, Li B, Huang Q, Hu H, Cheng W, Dong H, Lei J, Chen L, Zhou X, Yang L, Wang W, Shen G, Yang J, Zhao Z, Song X, Sun Q, Wang Y, Lu S, Li J, Lu G, Li W, Wei Y, Wei X. A recombinant protein vaccine induces protective immunity against SARS-CoV-2 JN.1 and XBB-lineage subvariants. Signal Transduct Target Ther 2025; 10:58. [PMID: 40000611 PMCID: PMC11862015 DOI: 10.1038/s41392-025-02154-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2024] [Revised: 01/09/2025] [Accepted: 01/20/2025] [Indexed: 02/27/2025] Open
Abstract
The emergence of XBB- and JN.1-lineages with remarkable immune evasion characteristics have led to rises in breakthrough infections within populations. In addition, the unfavorable impacts of immune imprinting, stemming from continuous exposure to antigens from circulated viruses, have been observed to incline immune response against earlier lineages, thereby declining the neutralization to newly emerged Omicron subvariants. In response to this, the advancement of next-generation vaccines against COVID-19 targeting components from new subvariants such as XBB-lineage is imperative. In the current study, a self-assembled trimeric recombinant protein (RBDXBB.1.5-HR) was generated by concatenating the sequences of the receptor binding domain (RBD) derived from XBB.1.5 with heptad-repeat 1 (HR1) and HR2 sequences from the spike S2 subunit. Adjuvanted-RBDXBB.1.5-HR induced robust humoral and cellular immune responses, characterized by elevated neutralization against JN.1-inculuded subvariants and a substantial population of antigen-specific T memory cells. Protective immunity conferred by RBDXBB.1.5-HR vaccine was preserved post-immunization, as evidenced by germinal center B (GC B) and T follicular helper (Tfh) responses, sustained neutralization potency, and an increase in memory B cells (MBCs) and long-lived plasma cells (LLPCs). The RBDXBB.1.5-HR vaccine showed a favorable boosting effect when administered heterologously after three doses of inactivated virus (IV) and mRNA vaccines. Significantly, it provided protection against live Omicron EG.5.1 viruses in vivo. The monovalent RBDXBB.1.5-HR vaccine showed favorable safety and immunogenicity, boosting neutralizing antibodies against JN.1- and XBB-lineage subvariants in individuals with prior COVID-19 vaccinations. These findings highlight its clinical potential in safeguarding against circulating Omicron subvariants.
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Affiliation(s)
- Jingyun Yang
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Weiqi Hong
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Huashan Shi
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhenling Wang
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Cai He
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hong Lei
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hong Yan
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Aqu Alu
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Danyi Ao
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zimin Chen
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yanan Zhou
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Yunnan, China
| | - Hao Yang
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Yunnan, China
| | - Yun Yang
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Yunnan, China
| | - Wenhai Yu
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Yunnan, China
| | - Cong Tang
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Yunnan, China
| | - Junbin Wang
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Yunnan, China
| | - Bai Li
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Yunnan, China
| | - Qing Huang
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Yunnan, China
| | - Hongbo Hu
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wei Cheng
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Haohao Dong
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jian Lei
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lu Chen
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xikun Zhou
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Li Yang
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wei Wang
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Guobo Shen
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jinliang Yang
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhiwei Zhao
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xiangrong Song
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Qiangming Sun
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Yunnan, China
| | - Youchun Wang
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Yunnan, China
| | - Shuaiyao Lu
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Yunnan, China.
| | - Jiong Li
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Guangwen Lu
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Weimin Li
- Department of Respiratory and Critical Care Medicine, Med-X Center for Manufacturing, Center of Precision Medicine, Precision Medicine Key Laboratory of Sichuan Province, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, West China Medical School, Sichuan University, Chengdu, China.
| | - Yuquan Wei
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Xiawei Wei
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
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18
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Body A, Lal L, Srihari S, MacIntyre CR, Buttery J, Ahern ES, Opat S, Leahy MF, Hamad N, Milch V, Turville S, Smith C, Lineburg K, Naing Z, Rawlinson W, Segelov E. Comprehensive humoral and cellular immune responses to COVID-19 vaccination in adults with cancer. Vaccine 2025; 46:126547. [PMID: 39648104 DOI: 10.1016/j.vaccine.2024.126547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2024] [Revised: 11/11/2024] [Accepted: 11/20/2024] [Indexed: 12/10/2024]
Abstract
BACKGROUND The COVID-19 pandemic has significantly impacted people with cancer. Initial vaccine studies excluded patients with malignancy. Immunocompromised individuals remain vulnerable to SARS-CoV-2, necessitating detailed understanding of vaccine response. The epidemiology of COVID-19 in Australia offered unique opportunities to study cancer populations with minimal community exposure to SARS-CoV-2. METHODS SerOzNET prospectively examined previously unvaccinated patients with solid and haematological malignancies receiving up to five COVID-19 vaccine doses. Antibody response was measured by live virus neutralisation assay (neutralising antibody (NAb); positive titre ≥1:20; study primary endpoint) and commercial assay. T cell response was measured by cytometric bead array; positive defined as interferon gamma (IFN-γ) ≥10 pg/mL in response to Spike antigen. Patient and physician-reported adverse events were secondary endpoints. OUTCOMES 395 adults were enrolled prior to receiving mRNA vaccine (BNT162b2 = 347; mRNA-1273 = 1) or viral vector vaccine (ChadOx1-S = 43) for initial two-dose course, plus up to three additional doses. Median age was 58 years (range: 20-85); 60 % were female; 35 % had haematological malignancy, 2/395 (0.5 %) had baseline positive nucleocapsid antibody indicating prior SARS-CoV-2 exposure. NAb response post dose three was demonstrated in 84 % overall; 96 % of patients with solid cancers and 64 % with haematological cancer (p < 0·001). Risk factors for non-response were haematological cancer and anti B-cell therapies. Some patients with haematological cancer seroconverted for the first time after the fourth or fifth dose. IFN-γ response was seen in many patients with haematological cancer who lacked NAb response. Serious adverse events were rare. COVID-19 infection occurred in 29 % with no deaths. INTERPRETATION COVID-19 vaccination elicits B and T cell responses in patients with solid and haematological cancers, with an acceptable safety profile. A significant proportion of haematological cancer patients require >3 doses to elicit NAb, with many demonstrating T cell response, which may be an alternative pathway of immune protection.
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Affiliation(s)
- Amy Body
- Monash Health, Department of Oncology, Melbourne, VIC, Australia; Monash University, Department of Oncology, School of Clinical Sciences, Melbourne, VIC, Australia.
| | - Luxi Lal
- Monash Health, Department of Oncology, Melbourne, VIC, Australia; Monash University, Department of Oncology, School of Clinical Sciences, Melbourne, VIC, Australia
| | | | - C Raina MacIntyre
- Biosecurity Program, Kirby Institute, University of New South Wales, Sydney, NSW, Australia; School of Public Health and Community Medicine, University of New South Wales, Sydney, NSW, Australia; National Centre for Immunization, Research and Surveillance of Vaccine Preventable Diseases, University of Sydney, Westmead, NSW, Australia
| | - Jim Buttery
- University of Melbourne, Child Health Informatics (Paediatrics), Melbourne, VIC, Australia; Royal Children's Hospital, Melbourne, VIC, Australia; Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Elizabeth Stephanie Ahern
- Monash Health, Department of Oncology, Melbourne, VIC, Australia; Monash University, Department of Oncology, School of Clinical Sciences, Melbourne, VIC, Australia
| | - Stephen Opat
- Monash Health, Department of Oncology, Melbourne, VIC, Australia; Monash University, Department of Oncology, School of Clinical Sciences, Melbourne, VIC, Australia
| | - Michael Francis Leahy
- Department of Haematology, Royal Perth Hospital, WA, Australia; University of Western Australia, School of Medicine & Pharmacology, School of Pathology, Perth, WA, Australia
| | - Nada Hamad
- Department of Haematology, St Vincent's Hospital, Kinghorn Cancer Centre, Sydney, NSW, Australia; The University of New South Wales, NSW, Australia
| | - Vivienne Milch
- Cancer Australia, Sydney, NSW, Australia; Caring Futures Institute, Flinders University, Adelaide, SA, Australia; School of Medicine, The University of Notre Dame Australia, Sydney, NSW, Australia
| | - Stuart Turville
- Kirby Institute, University of New South Wales, Sydney, NSW, Australia; University of Sydney, NSW, Australia
| | - Corey Smith
- QIMR Berghofer Centre for Immunotherapy and Vaccine Development and Translational and Human Immunology Laboratory, Infection and Inflammation Program, QIMR Berghofer Medical Research Institute, Herston, QLD, Australia; Queensland Immunology Research Centre, Brisbane, QLD, Australia
| | - Katie Lineburg
- QIMR Berghofer Centre for Immunotherapy and Vaccine Development and Translational and Human Immunology Laboratory, Infection and Inflammation Program, QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
| | - Zin Naing
- Serology and Virology Division (SAViD), NSW Health Pathology East, Department of Microbiology, Prince of Wales Hospital, Randwick, Sydney, NSW, Australia
| | - William Rawlinson
- Serology and Virology Division (SAViD), NSW Health Pathology East, Department of Microbiology, Prince of Wales Hospital, Randwick, Sydney, NSW, Australia; Virology Research Laboratory, Prince of Wales Hospital, Randwick, Sydney, NSW, Australia; School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Eva Segelov
- Monash University, Department of Oncology, School of Clinical Sciences, Melbourne, VIC, Australia; University of Bern, Department of Clinical Research (Medicine), Bern, Switzerland; University Cancer Centre, Bern, Switzerland
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19
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Uraki R, Ito M, Kiso M, Iwatsuki-Horimoto K, Endo M, Yamayoshi S, Kawaoka Y. An XBB.1.5-based inactivated SARS-CoV-2 vaccine partially protects against XBB.1.5 and JN.1 strains in hamsters. NPJ VIRUSES 2025; 3:7. [PMID: 40295856 PMCID: PMC11790961 DOI: 10.1038/s44298-025-00096-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Accepted: 01/24/2025] [Indexed: 04/30/2025]
Abstract
The SARS-CoV-2 Omicron BA.2.86 variant and its descendant lineages, including JN.1, are rapidly spreading and becoming dominant globally. Vaccination is an essential primary preventative measure. While mRNA vaccines have been widely used worldwide, it is essential that we continue to prepare alternative vaccine modalities. Consistent with WHO recommendations, we developed an inactivated Omicron XBB.1.5 vaccine and assessed its efficacy against XBB.1.5 and JN.1 strains. Immunization with the inactivated XBB.1.5 vaccine induced antigen-specific antibodies leading to protection from XBB.1.5 and antigenically distinct JN.1 strains in a hamster model. In addition, we found that immunization reduced viral replication in hamster respiratory organs, suggesting protection against XBB.1.5 and JN.1 variants. Our findings highlight the potential of inactivated vaccines against evolving SARS-CoV-2 variants.
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Affiliation(s)
- Ryuta Uraki
- The Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Tokyo, Japan.
- Division of Virology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
- The University of Tokyo Pandemic Preparedness, Infection and Advanced Research Center (The UTOPIA Center), Institutes for Advanced Study, The University of Tokyo, Tokyo, Japan.
| | - Mutsumi Ito
- Division of Virology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Maki Kiso
- The University of Tokyo Pandemic Preparedness, Infection and Advanced Research Center (The UTOPIA Center), Institutes for Advanced Study, The University of Tokyo, Tokyo, Japan
| | - Kiyoko Iwatsuki-Horimoto
- The University of Tokyo Pandemic Preparedness, Infection and Advanced Research Center (The UTOPIA Center), Institutes for Advanced Study, The University of Tokyo, Tokyo, Japan
| | - Masafumi Endo
- KM Biologics Co. Ltd. (KM Biologics), Kumamoto, Japan
| | - Seiya Yamayoshi
- The Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Tokyo, Japan
- Division of Virology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- The University of Tokyo Pandemic Preparedness, Infection and Advanced Research Center (The UTOPIA Center), Institutes for Advanced Study, The University of Tokyo, Tokyo, Japan
| | - Yoshihiro Kawaoka
- The Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Tokyo, Japan.
- Division of Virology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
- The University of Tokyo Pandemic Preparedness, Infection and Advanced Research Center (The UTOPIA Center), Institutes for Advanced Study, The University of Tokyo, Tokyo, Japan.
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI, USA.
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20
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Stocks D, Thomas A, Finn A, Danon L, Brooks-Pollock E. Mechanistic models of humoral kinetics following COVID-19 vaccination. J R Soc Interface 2025; 22:20240445. [PMID: 39876790 PMCID: PMC11775660 DOI: 10.1098/rsif.2024.0445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2024] [Revised: 10/07/2024] [Accepted: 11/01/2024] [Indexed: 01/31/2025] Open
Abstract
COVID-19 vaccine programmes must account for variable immune responses and waning protection. Existing descriptions of antibody responses to COVID-19 vaccination convey limited information about the mechanisms of antibody production and maintenance. We describe antibody dynamics after COVID-19 vaccination with two biologically motivated mathematical models. We fit the models using Markov chain Monte Carlo to seroprevalence data from 14 602 uninfected individuals in England between May 2020 and September 2022. We analyse the effect of age, vaccine type, number of doses and the interval between doses on antibody production and longevity. We find evidence that individuals over 35 years old twice vaccinated with ChAdOx1-S generate a persistent antibody response suggestive of long-lived plasma cell induction. We also find that plasmablast productive capacity is greater in: younger people than older people (≤4.5-fold change in point estimates); people vaccinated with two doses than one dose (≤12-fold change); and people vaccinated with BNT162b2 than ChAdOx1-S (≤440-fold change). We find the half-life of an antibody to be 23-106 days. Routinely collected seroprevalence data are invaluable for characterizing within-host mechanisms of antibody production and persistence. Extended sampling and linking seroprevalence data to outcomes would enable conclusions about how humoral kinetics protect against disease.
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Affiliation(s)
- Daniel Stocks
- School of Engineering Mathematics and Technology, University of Bristol, Tankard’s Close, Bristol, BS8 1TW, UK
| | - Amy Thomas
- Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield Grove, Bristol, BS8 2BN, UK
| | - Adam Finn
- Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield Grove, Bristol, BS8 2BN, UK
| | - Leon Danon
- School of Engineering Mathematics and Technology, University of Bristol, Tankard’s Close, Bristol, BS8 1TW, UK
| | - Ellen Brooks-Pollock
- Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield Grove, Bristol, BS8 2BN, UK
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21
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Davis-Porada J, George AB, Lam N, Caron DP, Gray JI, Huang J, Hwu J, Wells SB, Matsumoto R, Kubota M, Lee Y, Morrison-Colvin R, Jensen IJ, Ural BB, Shaabani N, Weiskopf D, Grifoni A, Sette A, Szabo PA, Teijaro JR, Sims PA, Farber DL. Maintenance and functional regulation of immune memory to COVID-19 vaccines in tissues. Immunity 2024; 57:2895-2913.e8. [PMID: 39510068 PMCID: PMC11634668 DOI: 10.1016/j.immuni.2024.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 06/28/2024] [Accepted: 10/08/2024] [Indexed: 11/15/2024]
Abstract
Memory T and B cells in tissues are essential for protective immunity. Here, we performed a comprehensive analysis of the tissue distribution, phenotype, durability, and transcriptional profile of COVID-19 mRNA vaccine-induced immune memory across blood, lymphoid organs, and lungs obtained from 63 vaccinated organ donors aged 23-86, some of whom experienced SARS-CoV-2 infection. Spike (S)-reactive memory T cells were detected in lymphoid organs and lungs and variably expressed tissue-resident markers based on infection history, and S-reactive B cells comprised class-switched memory cells resident in lymphoid organs. Compared with blood, S-reactive tissue memory T cells persisted for longer times post-vaccination and were more prevalent with age. S-reactive T cells displayed site-specific subset compositions and functions: regulatory cell profiles were enriched in tissues, while effector and cytolytic profiles were more abundant in circulation. Our findings reveal functional compartmentalization of vaccine-induced T cell memory where surveilling effectors and in situ regulatory responses confer protection with minimal tissue damage.
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Affiliation(s)
- Julia Davis-Porada
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA; Medical Scientist Training Program, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Alex B George
- Medical Scientist Training Program, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Nora Lam
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Daniel P Caron
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Joshua I Gray
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Jenny Huang
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Jennifer Hwu
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Steven B Wells
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Rei Matsumoto
- Department of Surgery, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Masaru Kubota
- Department of Surgery, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - YoonSeung Lee
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Rory Morrison-Colvin
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Isaac J Jensen
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Basak B Ural
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Namir Shaabani
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA 92037, USA
| | - Daniela Weiskopf
- Center of Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA 92037, USA
| | - Alba Grifoni
- Center of Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA 92037, USA
| | - Alessandro Sette
- Center of Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA 92037, USA; Department of Pathology, University of California, San Diego, La Jolla, CA 92093, USA
| | - Peter A Szabo
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - John R Teijaro
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA 92037, USA
| | - Peter A Sims
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Biochemistry and Molecular Biophysics, Columbia University Irving Medical Center, New York, NY 10032, USA.
| | - Donna L Farber
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Surgery, Columbia University Irving Medical Center, New York, NY 10032, USA.
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22
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Kometani K, Yorimitsu T, Jo N, Yamaguchi E, Kikuchi O, Fukahori M, Sawada T, Tsujimoto Y, Sunami A, Li M, Ito T, Pretemer Y, Gao Y, Hidaka Y, Yamamoto M, Kaku N, Nakagama Y, Kido Y, Grifoni A, Sette A, Nagao M, Morita S, Nakajima TE, Muto M, Hamazaki Y. Booster COVID-19 mRNA vaccination ameliorates impaired B-cell but not T-cell responses in older adults. Front Immunol 2024; 15:1455334. [PMID: 39717779 PMCID: PMC11663736 DOI: 10.3389/fimmu.2024.1455334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Accepted: 11/05/2024] [Indexed: 12/25/2024] Open
Abstract
Age-associated differences in the effect of repetitive vaccination, particularly on memory T-cell and B-cell responses, remain unclear. While older adults (aged ≥65 years) exhibited enhanced IgG responses following COVID-19 mRNA booster vaccination, they produced fewer spike-specific circulating follicular helper T cells-1 than younger adults. Similarly, the cytotoxic CD8+ T-cell response remained diminished with reduced PD-1 expression even after booster vaccination compared with that in younger adults, suggesting impaired memory T-cell activation in older adults. In contrast, although B-cell responses in older adults were weaker than those in younger adults in the primary response, the responses were significantly enhanced upon booster vaccination, reaching levels comparable with that observed in younger adults. Therefore, while booster vaccination ameliorates impaired humoral immunity in older adults by efficiently stimulating memory B-cell responses, it may less effectively enhance T-cell-mediated cellular immunity. Our study provides insights for the development of effective therapeutic and vaccine strategies for the most vulnerable older population.
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Affiliation(s)
- Kohei Kometani
- Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
| | - Takaaki Yorimitsu
- Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
- Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Norihide Jo
- Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
- Alliance Laboratory for Advanced Medical Research, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Erina Yamaguchi
- Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
| | - Osamu Kikuchi
- Department of Medical Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Clinical Bio-Resource Center, Kyoto University Hospital, Kyoto, Japan
- Center for Cancer Immunotherapy and Immunobiology, Kyoto University, Kyoto, Japan
| | - Masaru Fukahori
- Department of Early Clinical Development, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Kyoto Innovation Center for Next Generation Clinical Trials and iPS Cell Therapy (Ki-CONNECT), Kyoto University Hospital, Kyoto, Japan
| | - Takeshi Sawada
- Department of Early Clinical Development, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Kyoto Innovation Center for Next Generation Clinical Trials and iPS Cell Therapy (Ki-CONNECT), Kyoto University Hospital, Kyoto, Japan
| | - Yoshitaka Tsujimoto
- Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
- Department of Neurosurgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Ayana Sunami
- Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
- Laboratory of Immunobiology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Mengqian Li
- Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
| | - Takeshi Ito
- Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
| | - Yann Pretemer
- Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
| | - Yuxian Gao
- Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
- Laboratory of Immunobiology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yu Hidaka
- Department of Biomedical Statistics and Bioinformatics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masaki Yamamoto
- Department of Clinical Laboratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Natsuko Kaku
- Department of Virology and Parasitology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
- Osaka International Research Center for Infectious Diseases, Osaka Metropolitan University, Osaka, Japan
| | - Yu Nakagama
- Department of Virology and Parasitology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
- Osaka International Research Center for Infectious Diseases, Osaka Metropolitan University, Osaka, Japan
| | - Yasutoshi Kido
- Department of Virology and Parasitology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
- Osaka International Research Center for Infectious Diseases, Osaka Metropolitan University, Osaka, Japan
| | - Alba Grifoni
- Center for Vaccine Innovation, La Jolla Institute for Immunology (LJI), La Jolla, CA, United States
| | - Alessandro Sette
- Center for Vaccine Innovation, La Jolla Institute for Immunology (LJI), La Jolla, CA, United States
- Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego (UCSD), La Jolla, United States
| | - Miki Nagao
- Department of Clinical Laboratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Satoshi Morita
- Department of Biomedical Statistics and Bioinformatics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Takako E. Nakajima
- Department of Early Clinical Development, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Kyoto Innovation Center for Next Generation Clinical Trials and iPS Cell Therapy (Ki-CONNECT), Kyoto University Hospital, Kyoto, Japan
| | - Manabu Muto
- Department of Medical Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Clinical Bio-Resource Center, Kyoto University Hospital, Kyoto, Japan
- Kyoto Innovation Center for Next Generation Clinical Trials and iPS Cell Therapy (Ki-CONNECT), Kyoto University Hospital, Kyoto, Japan
| | - Yoko Hamazaki
- Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
- Laboratory of Immunobiology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Kyoto University Immunomonitoring Center, Kyoto, Japan
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23
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Rosdahl A, Hellgren F, Norén T, Smolander J, Wopenka U, Loré K, Hervius Askling H. Cellular and humoral response to SARS-CoV-2 vaccine BNT162b2 in adults with Chronic Kidney Disease G4/5. New Microbes New Infect 2024; 62:101458. [PMID: 39282145 PMCID: PMC11400989 DOI: 10.1016/j.nmni.2024.101458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 06/17/2024] [Accepted: 08/16/2024] [Indexed: 09/18/2024] Open
Abstract
The mRNA vaccines have proven to be very effective in preventing severe disease and death from SARS-CoV-2 in the general population. However, in patients with chronic kidney disease (CKD) in dialysis or with kidney transplants (KT) the vaccine responses vary, with severe breakthrough infections as a consequence. In this intervention study we investigated the magnitude and quality of the responses to mRNA vaccination administered prior to kidney replacement therapy (KRT). Twenty patients with CKD G4/5 and nine healthy controls were followed for 12 months after receiving two doses of BNT162b2 four weeks apart and a booster dose after 3-6 months. Induction of anti-Spike and anti-RBD IgG in plasma followed the same kinetics in CKD patients and controls, with a trend towards higher titers in controls. In accordance, there was no differences in the establishment of Spike-specific memory B-cells between groups. In contrast, the CKD patients showed lower levels of anti-Spike IgG in saliva and Spike-specific CD8+ T-cells in blood, possibly influencing the capacity of viral clearance which can contribute to an elevated risk of severe breakthrough infections. In conclusion, we found that CKD patients, despite having a reduced mucosal and cytotoxic immunity to BNT162b2, demonstrated a serological response in plasma similar to healthy controls. This suggests that immunization prior to RRT is efficient and motivated. (EudraCT-nr 2021-000988-68).
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Affiliation(s)
- Anja Rosdahl
- School of Medical Sciences, Örebro University, Örebro, Sweden
- Department of Infectious Diseases, Örebro University Hospital, Örebro, Sweden
| | - Fredrika Hellgren
- Department of Medicine Solna, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden. Center for Molecular Medicine, Karolinska Institutet, Sweden
| | - Torbjörn Norén
- School of Medical Sciences, Örebro University, Örebro, Sweden
- Department of Laboratory Medicine, Clinical Microbiology, Örebro University Hospital, Örebro, Sweden
| | | | - Ursula Wopenka
- Department of Renal Medicine, Örebro University Hospital, Örebro, Sweden
| | - Karin Loré
- Department of Medicine Solna, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden. Center for Molecular Medicine, Karolinska Institutet, Sweden
| | - Helena Hervius Askling
- Academic Specialist Center, Stockholm County Healthcare Area, Region Stockholm, Sweden
- Division of Infectious Diseases, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
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24
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Krishna B, Metaxaki M, Perera M, Wills M, Sithole N. Comparison of different T cell assays for the retrospective determination of SARS-CoV-2 infection. J Gen Virol 2024; 105. [PMID: 39704047 DOI: 10.1099/jgv.0.002055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2024] Open
Abstract
It is important to be able to retrospectively determine severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections with high accuracy, both for post-coronavirus disease 2019 (COVID-19) epidemiological studies, and to distinguish between Long COVID and other multi-syndromic diseases that have overlapping symptoms. Although serum antibody levels can be measured to retrospectively diagnose SARS-CoV-2 infections, peptide stimulation of memory T cell responses is a more sensitive approach. This is because robust memory T cells are generated after SARS-CoV-2 infection and persist even after antibodies wane below detectability thresholds. In this study, we compare T cell responses using FluoroSpot-based methods and overnight stimulation of whole blood with SARS-CoV-2 peptides followed by an ELISA. Both approaches have comparable sensitivity and specificity but require different equipment and samples to be used. Furthermore, the elimination of peptides that cross-react with other coronaviruses increases the assay specificity but trades off some sensitivity. Finally, this approach can be used on archival, cryopreserved PBMCs. This work shows comparative advantages for several methods to measure SARS-CoV-2 T cell responses that could be utilized by any laboratory studying the effects of the coronavirus disease 2019 pandemic.
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Affiliation(s)
- Benjamin Krishna
- Cambridge Institute of Therapeutic Immunology and Infectious Disease (CITIID), Cambridge, UK
| | - Marina Metaxaki
- Cambridge Institute of Therapeutic Immunology and Infectious Disease (CITIID), Cambridge, UK
| | - Marianne Perera
- Cambridge Institute of Therapeutic Immunology and Infectious Disease (CITIID), Cambridge, UK
- Division of Virology, Department of Pathology, University of Cambridge, Cambridge, UK
| | - Mark Wills
- Cambridge Institute of Therapeutic Immunology and Infectious Disease (CITIID), Cambridge, UK
| | - Nyarie Sithole
- Cambridge Institute of Therapeutic Immunology and Infectious Disease (CITIID), Cambridge, UK
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25
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Belik M, Reinholm A, Kolehmainen P, Heroum J, Maljanen S, Altan E, Österlund P, Laine L, Ritvos O, Pasternack A, Naves RA, Iakubovskaia A, Barkoff AM, He Q, Lempainen J, Tähtinen PA, Ivaska L, Jalkanen P, Julkunen I, Kakkola L. Long-term COVID-19 vaccine- and Omicron infection-induced humoral and cell-mediated immunity. Front Immunol 2024; 15:1494432. [PMID: 39640263 PMCID: PMC11617562 DOI: 10.3389/fimmu.2024.1494432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2024] [Accepted: 11/04/2024] [Indexed: 12/07/2024] Open
Abstract
Introduction Mutations occurring in the spike (S) protein of SARS-CoV-2 enables the virus to evade COVID-19 vaccine- and infection-induced immunity. Methods Here we provide a comprehensive analysis of humoral and cell-mediated immunity in 111 healthcare workers who received three or four vaccine doses and were followed up to 12 and 6 months, respectively, after the last vaccine dose. Omicron breakthrough infection occurred in 71% of the vaccinees, enabling evaluation of vaccine- and vaccine/infection-induced hybrid immunity. Results Neutralizing antibodies were the highest against the ancestral D614G and were sequentially reduced against the Omicron variants BA.2, BA.5 and XBB.1.5. S1-specific IgG and neutralizing antibody levels were significantly higher in infected than in uninfected vaccinees, and the fourth vaccine dose in combination with a breakthrough infection resulted in high neutralizing antibody levels against all variants. T cell-mediated immunity, instead, was well retained already after two vaccine doses, and was not significantly strengthened by additional booster vaccine doses or Omicron breakthrough infections. Discussion While humoral immunity is sensitive to mutations in the S protein and thus declined rapidly, the cell-mediated immunity is durable to antigenic variation, which may explain the good efficacy of COVID-19 vaccines against a severe disease.
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Affiliation(s)
- Milja Belik
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Arttu Reinholm
- Institute of Biomedicine, University of Turku, Turku, Finland
| | | | - Jemna Heroum
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Sari Maljanen
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Eda Altan
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Pamela Österlund
- Microbiology Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Larissa Laine
- Microbiology Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Olli Ritvos
- Department of Physiology, Medicum, University of Helsinki, Helsinki, Finland
| | - Arja Pasternack
- Department of Physiology, Medicum, University of Helsinki, Helsinki, Finland
| | - Rauno A. Naves
- Department of Physiology, Medicum, University of Helsinki, Helsinki, Finland
| | - Alina Iakubovskaia
- Department of Physiology, Medicum, University of Helsinki, Helsinki, Finland
| | | | - Qiushui He
- Institute of Biomedicine, University of Turku, Turku, Finland
- InFlames Research Flagship Center, University of Turku, Turku, Finland
| | - Johanna Lempainen
- Department of Paediatrics and Adolescent Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Paula A. Tähtinen
- Department of Paediatrics and Adolescent Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Lauri Ivaska
- InFlames Research Flagship Center, University of Turku, Turku, Finland
- Department of Paediatrics and Adolescent Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Pinja Jalkanen
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Ilkka Julkunen
- Institute of Biomedicine, University of Turku, Turku, Finland
- InFlames Research Flagship Center, University of Turku, Turku, Finland
- Clinical Microbiology, Turku University Hospital, Turku, Finland
| | - Laura Kakkola
- Institute of Biomedicine, University of Turku, Turku, Finland
- Clinical Microbiology, Turku University Hospital, Turku, Finland
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Chen L, Shao C, Li J, Zhu F. Impact of Immunosenescence on Vaccine Immune Responses and Countermeasures. Vaccines (Basel) 2024; 12:1289. [PMID: 39591191 PMCID: PMC11598585 DOI: 10.3390/vaccines12111289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2024] [Revised: 11/11/2024] [Accepted: 11/16/2024] [Indexed: 11/28/2024] Open
Abstract
The biological progression of aging encompasses complex physiological processes. As individuals grow older, their physiological functions gradually decline, including compromised immune responses, leading to immunosenescence. Immunosenescence significantly elevates disease susceptibility and severity in older populations while concurrently compromising vaccine-induced immune responses. This comprehensive review aims to elucidate the implications of immunosenescence for vaccine-induced immunity and facilitate the development of optimized vaccination strategies for geriatric populations, with specific focus on COVID-19, influenza, pneumococcal, herpes zoster, and respiratory syncytial virus (RSV) vaccines. This review further elucidates the relationship between immunosenescence and vaccine-induced immunity. This review presents a systematic evaluation of intervention strategies designed to enhance vaccine responses in older populations, encompassing adjuvant utilization, antigen doses, vaccination frequency modification, inflammatory response modulation, and lifestyle interventions, including physical activity and nutritional modifications. These strategies are explored for their potential to improve current vaccine efficacy and inform the development of next-generation vaccines for geriatric populations.
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Affiliation(s)
- Li Chen
- School of Public Health, Southeast University, Nanjing 210096, China; (L.C.); (C.S.)
- Jiangsu Provincial Medical Innovation Center, National Health Commission Key Laboratory of Enteric Pathogenic Microbiology, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Chengwei Shao
- School of Public Health, Southeast University, Nanjing 210096, China; (L.C.); (C.S.)
- Jiangsu Provincial Medical Innovation Center, National Health Commission Key Laboratory of Enteric Pathogenic Microbiology, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Jingxin Li
- School of Public Health, Southeast University, Nanjing 210096, China; (L.C.); (C.S.)
- Jiangsu Provincial Medical Innovation Center, National Health Commission Key Laboratory of Enteric Pathogenic Microbiology, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Fengcai Zhu
- School of Public Health, Southeast University, Nanjing 210096, China; (L.C.); (C.S.)
- Jiangsu Provincial Medical Innovation Center, National Health Commission Key Laboratory of Enteric Pathogenic Microbiology, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
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27
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Li H, Lin S, Wang Y, Shi Y, Fang X, Wang J, Cui H, Bian Y, Qi X. Immunosenescence: A new direction in anti-aging research. Int Immunopharmacol 2024; 141:112900. [PMID: 39137628 DOI: 10.1016/j.intimp.2024.112900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 07/22/2024] [Accepted: 08/05/2024] [Indexed: 08/15/2024]
Abstract
The immune system is a major regulatory system of the body, that is composed of immune cells, immune organs, and related signaling factors. As an organism ages, observable age-related changes in the function of the immune system accumulate in a process described as 'immune aging. Research has shown that the impact of aging on immunity is detrimental, with various dysregulated responses that affect the function of immune cells at the cellular level. For example, increased aging has been shown to result in the abnormal chemotaxis of neutrophils and decreased phagocytosis of macrophages. Age-related diminished functionality of immune cell types has direct effects on host fitness, leading to poorer responses to vaccination, more inflammation and tissue damage, as well as autoimmune disorders and the inability to control infections. Similarly, age impacts the function of the immune system at the organ level, resulting in decreased hematopoietic function in the bone marrow, a gradual deficiency of catalase in the thymus, and thymic atrophy, resulting in reduced production of related immune cells such as B cells and T cells, further increasing the risk of autoimmune disorders in the elderly. As the immune function of the body weakens, aging cells and inflammatory factors cannot be cleared, resulting in a cycle of increased inflammation that accumulates over time. Cumulatively, the consequences of immune aging increase the likelihood of developing age-related diseases, such as Alzheimer's disease, atherosclerosis, and osteoporosis, among others. Therefore, targeting the age-related changes that occur within cells of the immune system might be an effective anti-aging strategy. In this article, we summarize the relevant literature on immune aging research, focusing on its impact on aging, in hopes of providing new directions for anti-aging research.
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Affiliation(s)
- Hanzhou Li
- Tianjin University of Traditional Chinese Medicine, Tianjin, China; Tianjin Union Medical Center, Tianjin, China
| | - Shan Lin
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yuming Wang
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yuexuan Shi
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Xixing Fang
- College of Traditional Chinese Medicine, Changchun University of Traditional Chinese Medicine, Changchun, China
| | - Jida Wang
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Huantian Cui
- Yunnan University of Chinese Medicine, Yunnan, China.
| | - Yuhong Bian
- Tianjin University of Traditional Chinese Medicine, Tianjin, China.
| | - Xin Qi
- Tianjin University of Traditional Chinese Medicine, Tianjin, China; Tianjin Union Medical Center, Tianjin, China.
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28
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Brook B, Checkervarty AK, Barman S, Sweitzer C, Bosco AN, Sherman AC, Baden LR, Morrocchi E, Sanchez-Schmitz G, Palma P, Nanishi E, O'Meara TR, McGrath ME, Frieman MB, Soni D, van Haren SD, Ozonoff A, Diray-Arce J, Steen H, Dowling DJ, Levy O. The BNT162b2 mRNA vaccine demonstrates reduced age-associated T H1 support in vitro and in vivo. iScience 2024; 27:111055. [PMID: 39569372 PMCID: PMC11576392 DOI: 10.1016/j.isci.2024.111055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 07/05/2024] [Accepted: 09/24/2024] [Indexed: 11/22/2024] Open
Abstract
mRNA vaccines demonstrate impaired immunogenicity and durability in vulnerable older populations. We hypothesized that human in vitro modeling and proteomics could elucidate age-specific mRNA vaccine actions. BNT162b2-stimulation changed the plasma proteome of blood samples from young (18-50Y) and older adult (≥60Y) participants, assessed by mass spectrometry, proximity extension assay, and multiplex. Young adult up-regulation (e.g., PSMC6, CPN1) contrasted reduced induction in older adults (e.g., TPM4, APOF, APOC2, CPN1, PI16). 30-85% lower TH1-polarizing cytokines and chemokines were induced in elderly blood (e.g., IFNγ, CXCL10). Analytes lower in older adult samples included human in vivo mRNA immunogenicity biomarkers (e.g., IFNγ, CXCL10, CCL4, IL-1RA). BNT162b2 also demonstrated reduced CD4+ TH1 responses in aged vs. young adult mice. Our study demonstrates the utility of human in vitro platforms modeling age-specific mRNA vaccine immunogenicity, highlights impaired support of TH1 polarization in older adults, and provides a rationale for precision mRNA vaccine adjuvantation to induce greater immunogenicity.
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Affiliation(s)
- Byron Brook
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Abhinav Kumar Checkervarty
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
- Prevention of Organ Failure (PROOF) Centre of Excellence, St Paul's Hospital, University of British Columbia, Vancouver, BC V6Z 2K5, Canada
- UBC Centre for Heart Lung Innovation, Providence Research, St Paul's Hospital, Vancouver, BC V6Z 1Y6, Canada
| | - Soumik Barman
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Cali Sweitzer
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
| | - Anna-Nicole Bosco
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
| | - Amy C Sherman
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Medicine, Division of Infectious Diseases, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Lindsey R Baden
- Department of Medicine, Division of Infectious Diseases, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Elena Morrocchi
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
- Research Unit of Clinical Immunology and Vaccinology, Bambino Gesù Children's Hospital, IRCCS, 00165 Rome, Italy
| | - Guzman Sanchez-Schmitz
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Paolo Palma
- Research Unit of Clinical Immunology and Vaccinology, Bambino Gesù Children's Hospital, IRCCS, 00165 Rome, Italy
- Department of Systems Medicine- Chair of Pediatrics, University of Rome, 00133 Tor Vergata, Italy
| | - Etsuro Nanishi
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Timothy R O'Meara
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
| | - Marisa E McGrath
- Center for Pathogen Research, Department of Microbiology and Immunology, The University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Matthew B Frieman
- Center for Pathogen Research, Department of Microbiology and Immunology, The University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Dheeraj Soni
- Global Investigative Toxicology, Preclinical Safety, Sanofi, Cambridge, MA 02142, USA
| | - Simon D van Haren
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Al Ozonoff
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT & Harvard, Cambridge, MA 02142, USA
| | - Joann Diray-Arce
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Hanno Steen
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pathology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - David J Dowling
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Ofer Levy
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT & Harvard, Cambridge, MA 02142, USA
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Lee MR, Chang HL, Chen YH, Liu CJ, Keng LT, Huang HL, Wang JY, Sheu CC, Chong IW. Seroprevalence and prognostic value of Aspergillus-specific IgG among non-neutropenic invasive pulmonary aspergillosis patients: a prospective multicenter study. Pneumonia (Nathan) 2024; 16:28. [PMID: 39497226 PMCID: PMC11536880 DOI: 10.1186/s41479-024-00154-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 10/16/2024] [Indexed: 11/07/2024] Open
Abstract
BACKGROUND This study aimed to assess the diagnostic and prognostic value of Aspergillus-specific IgG (Asp-IgG) for invasive pulmonary aspergillosis (IPA) in non-neutropenic non-hematologic patients. METHODS Between November 2019 and February 2022, we recruited 40 non-neutropenic, non-hematologic IPA patients from Taiwan and measured serum Asp-IgG levels using Phadia, Thermofisher. A positive Asp-IgG test was defined as a level > 40 mgA/L. We evaluated the association between Asp-IgG levels and overall survival, as well 90-day mortality rate of IPA patients. RESULTS Of the 40 participants, 11 (27.5%) tested positive for Asp-IgG, while 16 (40%) had positive galactomannan antigen (optical density > 1). Higher Asp-IgG levels were associated with improved overall survival (HR: 0.22, 95% CI: 0.05-0.99, p = 0.035) in multivariable Cox regression. The overall 90-day mortality rate was 65% (26/40). We found that patients with low Asp-IgG levels (≤ 40 mgA/L) had a borderline higher 90-day mortality rate compared to patients with high Asp-IgG levels (OR: 3.15, 95% CI: 0.75-13.28, p = 0.118). Stratifying by serum galactomannan and Aspergillus IgG levels, patients with elevated serum GM and low Asp-IgG had the highest 90-day mortality (80%, 8/10), followed by patients with low serum GM and low Asp-IgG (68.4%, 13/19). CONCLUSIONS Asp-IgG was positive in approximately one-fourth of non-neutropenic IPA patients. Asp-IgG may hold potential as a clinical prognostic factor for IPA. Further studies are required to validate this finding.
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Affiliation(s)
- Meng-Rui Lee
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Department of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu, Taiwan
| | - Hsu-Liang Chang
- Division of Pulmonary and Critical Care Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Internal Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan
| | - Yung-Hsuan Chen
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Chia-Jung Liu
- Department of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu, Taiwan
| | - Li-Ta Keng
- Department of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu, Taiwan
| | - Hung-Ling Huang
- Division of Pulmonary and Critical Care Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
- Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
- Department of Internal Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan.
- Department of Internal Medicine, School of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
- Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan.
| | - Jann-Yuan Wang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
| | - Chau-Chyun Sheu
- Division of Pulmonary and Critical Care Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Internal Medicine, School of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Inn-Wen Chong
- Division of Pulmonary and Critical Care Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Internal Medicine, School of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Departments of Respiratory Therapy, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
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30
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Maher S, Assaly NME, Aly DM, Atta S, Fteah AM, Badawi H, Zahran MY, Kamel M. Comparative study of neutralizing antibodies titers in response to different types of COVID-19 vaccines among a group of egyptian healthcare workers. Virol J 2024; 21:277. [PMID: 39501293 PMCID: PMC11539826 DOI: 10.1186/s12985-024-02546-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 10/17/2024] [Indexed: 11/08/2024] Open
Abstract
BACKGROUND Defining the protective thresholds against the severe-acute-respiratory-syndrome-related corona virus-2 pandemic is a crucial challenge. To reduce the risks of severe disease, hospitalization, and death, various COVID-19 vaccines have been rapidly developed. AIM OF THE WORK This study aimed to assess the impact of three common COVID-19 vaccine types; two mRNA COVID-19 vaccines: (Pfizer/BioNTech's BNT162b2 and Moderna's mRNA-1273), one adenoviral vector vaccine: Oxford/AstraZeneca's ChAdOx1, and one inactivated vaccine (Sinovac Biotech/China's Sinovac) on the level of neutralizing antibodies, considering factors such as vaccine type, demographic characteristics, and hybrid immunity. We conducted a direct comparative analysis involving 300 healthcare workers, both with and without prior SARS-CoV-2 infection (B.1, C.36.3, and AY.32 (Delta) variants). Neutralizing antibodies levels were measured at baseline (before vaccination), before the second dose, and six months after the second dose. RESULTS The results showed a significant increase in neutralizing antibodies levels after complete vaccination with all vaccine types. Among healthcare workers, those vaccinated with mRNA vaccines (Moderna or Pfizer) exhibited the highest neutralizing antibodies titers, followed by AstraZeneca, and finally Sinovac with the lowest titer. On studying the effect of previous COVID-19 infection after vaccination, no significant difference in neutralizing antibodies levels was observed between healthcare workers vaccinated with mRNA or AstraZeneca vaccines, both with prior COVID-19 infection, following the first and six months after the second dose. CONCLUSION These findings suggest that individuals with prior COVID-19 may only require a single dose of mRNA or AstraZeneca vaccines to achieve a similar level of immunization as those without prior COVID-19 who completed the vaccination program. HIGHLIGHTS There is a significant increase in neutralizing antibodies levels after complete vaccination against COVID-19 Vaccination with mRNA vaccines exhibits the highest neutralizing antibodies titers. Vaccination with Sinovac exhibits the lowest neutralizing antibodies titers.
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Affiliation(s)
- Sara Maher
- Immunology Department, Theodor Bilharz Research Institute, Giza, Egypt
| | - Nihal M El Assaly
- Clinical Chemistry Department, Theodor Bilharz Research Institute, Giza, Egypt
| | - Doaa Mamdouh Aly
- Clinical Chemistry Department, Theodor Bilharz Research Institute, Giza, Egypt
| | - Shimaa Atta
- Immunology Department, Theodor Bilharz Research Institute, Giza, Egypt.
| | - Asmaa Mohamed Fteah
- Clinical Chemistry Department, Theodor Bilharz Research Institute, Giza, Egypt
| | - Hala Badawi
- Microbiology Department, Theodor Bilharz Research Institute, Giza, Egypt
| | | | - Manal Kamel
- Immunology Department, Theodor Bilharz Research Institute, Giza, Egypt
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31
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Lin L, Spreng RL, Seaton KE, Dennison SM, Dahora LC, Schuster DJ, Sawant S, Gilbert PB, Fong Y, Kisalu N, Pollard AJ, Tomaras GD, Li J. GeM-LR: Discovering predictive biomarkers for small datasets in vaccine studies. PLoS Comput Biol 2024; 20:e1012581. [PMID: 39541411 PMCID: PMC11594404 DOI: 10.1371/journal.pcbi.1012581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 11/26/2024] [Accepted: 10/23/2024] [Indexed: 11/16/2024] Open
Abstract
Despite significant progress in vaccine research, the level of protection provided by vaccination can vary significantly across individuals. As a result, understanding immunologic variation across individuals in response to vaccination is important for developing next-generation efficacious vaccines. Accurate outcome prediction and identification of predictive biomarkers would represent a significant step towards this goal. Moreover, in early phase vaccine clinical trials, small datasets are prevalent, raising the need and challenge of building a robust and explainable prediction model that can reveal heterogeneity in small datasets. We propose a new model named Generative Mixture of Logistic Regression (GeM-LR), which combines characteristics of both a generative and a discriminative model. In addition, we propose a set of model selection strategies to enhance the robustness and interpretability of the model. GeM-LR extends a linear classifier to a non-linear classifier without losing interpretability and empowers the notion of predictive clustering for characterizing data heterogeneity in connection with the outcome variable. We demonstrate the strengths and utility of GeM-LR by applying it to data from several studies. GeM-LR achieves better prediction results than other popular methods while providing interpretations at different levels.
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Affiliation(s)
- Lin Lin
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, United States of America
- Center for Human Systems Immunology, Duke University, Durham, North Carolina, United States of America
| | - Rachel L. Spreng
- Center for Human Systems Immunology, Duke University, Durham, North Carolina, United States of America
- Duke Human Vaccine Institute, Duke University, Durham, North Carolina, United States of America
| | - Kelly E. Seaton
- Center for Human Systems Immunology, Duke University, Durham, North Carolina, United States of America
- Department of Surgery, Duke University, Durham, North Carolina, United States of America
| | - S. Moses Dennison
- Center for Human Systems Immunology, Duke University, Durham, North Carolina, United States of America
- Department of Surgery, Duke University, Durham, North Carolina, United States of America
| | - Lindsay C. Dahora
- Center for Human Systems Immunology, Duke University, Durham, North Carolina, United States of America
- Duke Human Vaccine Institute, Duke University, Durham, North Carolina, United States of America
- Department of Integrative Immunobiology, Duke University, Durham, North Carolina, United States of America
| | - Daniel J. Schuster
- Center for Human Systems Immunology, Duke University, Durham, North Carolina, United States of America
- Department of Surgery, Duke University, Durham, North Carolina, United States of America
- Department of Integrative Immunobiology, Duke University, Durham, North Carolina, United States of America
| | - Sheetal Sawant
- Center for Human Systems Immunology, Duke University, Durham, North Carolina, United States of America
- Department of Surgery, Duke University, Durham, North Carolina, United States of America
| | - Peter B. Gilbert
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America
| | - Youyi Fong
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America
| | - Neville Kisalu
- Center for Vaccine Innovation and Access, PATH, Washington, DC, United States of America
| | - Andrew J. Pollard
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, United Kingdom
- NIHR Oxford Biomedical Research Centre, Oxford, United Kingdom
| | - Georgia D. Tomaras
- Center for Human Systems Immunology, Duke University, Durham, North Carolina, United States of America
- Duke Human Vaccine Institute, Duke University, Durham, North Carolina, United States of America
- Department of Surgery, Duke University, Durham, North Carolina, United States of America
- Department of Integrative Immunobiology, Duke University, Durham, North Carolina, United States of America
- Department of Molecular Genetics and Microbiology, Duke University, Durham, North Carolina, United States of America
| | - Jia Li
- Department of Statistics, The Pennsylvania State University, Pennsylvania, United States of America
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32
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Hu X, Yuan D, Zeng Y, Guo C. Impact of the First-Wave COVID-19 Pandemic on Medical Expenditure for Older Adults in China: Lessons from a Natural Experiment. J Aging Soc Policy 2024; 36:1605-1625. [PMID: 38734975 DOI: 10.1080/08959420.2024.2348967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 01/24/2024] [Indexed: 05/13/2024]
Abstract
Older adults' access to healthcare services may have been affected by the COVID-19 pandemic. This study explored the effect of the first wave pandemic on the medical expenditure of older adults in China. Difference-in-Difference models captured both temporal and geographical variation in COVID-19 exposure to estimate the impacts of the pandemic on medical expenditure through a quasi-natural experiment. Data derived from the China Family Panel Studies. Results indicate that exposure to the pandemic significantly decreased total medical expenditures, hospital expenditures, and non-hospital medical expenditures of Chinese older adults by 15% (95% CI 12%-17%), 5% (95% CI 2%-7%), and 15% (95% CI 13%-16%), respectively, for each standardized severity increment. Females, less well-educated people, and individuals without internet access were most susceptible to experiencing these reductions. This study revealed that COVID-19 exerted a detrimental influence on the medical expenditure of older adults in mainland China. The "hidden epidemic" of non-COVID-19 medical needs of older adults deserves more attention on the part of policymakers.
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Affiliation(s)
- Xiyuan Hu
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, USA
- Institute of Population Research, Peking University, Beijing, China
| | - Dianqi Yuan
- Institute of Population Research, Peking University, Beijing, China
| | - Yuyu Zeng
- Institute of Population Research, Peking University, Beijing, China
| | - Chao Guo
- Institute of Population Research, Peking University, Beijing, China
- APEC Health Science Academy (HeSAY), Peking University, Beijing, China
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Riemann L, Weskamm LM, Mayer L, Odak I, Hammerschmidt S, Sandrock I, Friedrichsen M, Ravens I, Fuss J, Hansen G, Addo MM, Förster R. Blood transcriptome profiling reveals distinct gene networks induced by mRNA vaccination against COVID-19. Eur J Immunol 2024; 54:e2451236. [PMID: 39402787 DOI: 10.1002/eji.202451236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 08/20/2024] [Accepted: 08/24/2024] [Indexed: 11/08/2024]
Abstract
Messenger RNA (mRNA) vaccines represent a new class of vaccines that has been shown to be highly effective during the COVID-19 pandemic and that holds great potential for other preventative and therapeutic applications. While it is known that the transcriptional activity of various genes is altered following mRNA vaccination, identifying and studying gene networks could reveal important scientific insights that might inform future vaccine designs. In this study, we conducted an in-depth weighted gene correlation network analysis of the blood transcriptome before and 24 h after the second and third vaccination with licensed mRNA vaccines against COVID-19 in humans, following a prime vaccination with either mRNA or ChAdOx1 vaccines. Utilizing this unsupervised gene network analysis approach, we identified distinct modular networks of co-varying genes characterized by either an expressional up- or downregulation in response to vaccination. Downregulated networks were associated with cell metabolic processes and regulation of transcription factors, while upregulated networks were associated with myeloid differentiation, antigen presentation, and antiviral, interferon-driven pathways. Within this interferon-associated network, we identified highly connected hub genes such as STAT2 and RIGI and associated upstream transcription factors, potentially playing important regulatory roles in the vaccine-induced immune response. The expression profile of this network significantly correlated with S1-specific IgG levels at the follow-up visit in vaccinated individuals. Those findings could be corroborated in a second, independent cohort of mRNA vaccine recipients. Collectively, results from this modular gene network analysis enhance the understanding of mRNA vaccines from a systems immunology perspective. Influencing specific gene networks could lead to optimized vaccines that elicit augmented vaccine responses.
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Affiliation(s)
- Lennart Riemann
- Institute of Immunology, Hannover Medical School, Hannover, Germany
- Department of Paediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Leonie M Weskamm
- Institute for Infection Research and Vaccine Development (IIRVD), University Medical Centre Hamburg-Eppendorf, Hamburg, 20246, Germany
- Department for Clinical Immunology of Infectious Diseases, Bernhard Nocht Institute for Tropical Medicine, Hamburg, 20246, Germany
- German Centre for Infection Research, partner site Hamburg-Lübeck-Borstel-Riems, Hamburg, 20246, Germany
| | - Leonie Mayer
- Institute for Infection Research and Vaccine Development (IIRVD), University Medical Centre Hamburg-Eppendorf, Hamburg, 20246, Germany
- Department for Clinical Immunology of Infectious Diseases, Bernhard Nocht Institute for Tropical Medicine, Hamburg, 20246, Germany
- German Centre for Infection Research, partner site Hamburg-Lübeck-Borstel-Riems, Hamburg, 20246, Germany
| | - Ivan Odak
- Institute of Immunology, Hannover Medical School, Hannover, Germany
| | | | - Inga Sandrock
- Institute of Immunology, Hannover Medical School, Hannover, Germany
| | | | - Inga Ravens
- Institute of Immunology, Hannover Medical School, Hannover, Germany
| | - Janina Fuss
- Institute of Clinical Molecular Biology, Christian-Albrechts-University and University Medical Center Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Gesine Hansen
- Department of Paediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
- German Center of Lung Research (DZL), BREATH, Hannover, Germany
- Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany
| | - Marylyn M Addo
- Institute for Infection Research and Vaccine Development (IIRVD), University Medical Centre Hamburg-Eppendorf, Hamburg, 20246, Germany
- Department for Clinical Immunology of Infectious Diseases, Bernhard Nocht Institute for Tropical Medicine, Hamburg, 20246, Germany
- German Centre for Infection Research, partner site Hamburg-Lübeck-Borstel-Riems, Hamburg, 20246, Germany
| | - Reinhold Förster
- Institute of Immunology, Hannover Medical School, Hannover, Germany
- German Centre for Infection Research, partner site Hamburg-Lübeck-Borstel-Riems, Hamburg, 20246, Germany
- German Center of Lung Research (DZL), BREATH, Hannover, Germany
- German Centre for Infection Research, partner site Braunschweig-Hannover, Hannover, Germany
- Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany
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Hannawi S, Wu XH, Villalobos RE, Burhan E, Lallaine Borra MD, Gupta RK, Aquitania GP, Ang BWC, Mae A Zabat G, Roa CC, Zoleta-De Jesus L, Yu DD, Wang M, Wu Y, Song WJ, Ying B, Qin CF. Efficacy, immunogenicity, and safety of a monovalent mRNA vaccine, ABO1020, in adults: A randomized, double-blind, placebo-controlled, phase 3 trial. MED 2024; 5:1282-1292.e3. [PMID: 39025066 DOI: 10.1016/j.medj.2024.06.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 04/29/2024] [Accepted: 06/25/2024] [Indexed: 07/20/2024]
Abstract
BACKGROUND ABO1020 is a monovalent COVID-19 mRNA vaccine. Results from a phase 1 trial showed ABO1020 was safe and well tolerated, and phase 3 trials to evaluate the efficacy, immunogenicity, and safety of ABO1020 in healthy adults are urgently needed. METHODS We conducted a multinational, randomized, placebo-controlled, double-blind, phase 3 trial among healthy adults (ClinicalTrials.gov: NCT05636319). Participants were randomly assigned (1:1) to receive either 2 doses of ABO1020 (15 μg per dose) or placebo, administered 28 days apart. The primary endpoint was the vaccine efficacy in preventing symptomatic COVID-19 cases that occurred at least 14 days post-full vaccination. The second endpoint included the neutralizing antibody titers against Omicron BA.5 and XBB and safety assessments. FINDINGS A total of 14,138 participants were randomly assigned to receive either vaccine or placebo (7,069 participants in each group). A total of 366 symptomatic COVID-19 cases were confirmed 14 days after the second dose among 93 participants in the ABO1020 group and 273 participants in the placebo group, yielding a vaccine efficacy of 66.18% (95% confidence interval: 57.21-73.27, p < 0.0001). A single dose or two doses of ABO1020 elicited potent neutralizing antibodies against both BA.5 and XBB.1.5. The safety profile of ABO1020 was characterized by transient, mild-to-moderate fever, pain at the injection site, and headache. CONCLUSION ABO1020 was well tolerated and conferred 66.18% protection against symptomatic COVID-19 in adults. FUNDING National Key Research and Development Project of China, Innovation Fund for Medical Sciences from the CAMS, National Natural Science Foundation of China.
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Affiliation(s)
- Suad Hannawi
- Internal Medicine Department, Al Kuwait-Dubai (Al Baraha) Hospital, Dubai, United Arab Emirates
| | - Xiao-Hong Wu
- National Institutes for Food and Drug Control, Beijing, China
| | | | - Erlina Burhan
- Department of Pulmonology and Respiratory Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia; Persahabatan Hospital, Jakarta, Indonesia
| | | | - Rakesh Kumar Gupta
- Department of Pulmonology, Lifecare Hospital, Abu Dhabi, United Arab Emirates
| | | | - Blake Warren C Ang
- Internal Medicine Department, Manuel J. Santos Hospital, Butuan, Philippines
| | - Gelza Mae A Zabat
- William T. Chua Center for Clinical Research, Health Cube Medical Clinics, Mandaluyong, Philippines
| | - Camilo C Roa
- Department of Medicine, Medical Center Manila, Manila, Philippines
| | | | - Dan-Dan Yu
- Abogen Biosciences, Suzhou Abogen Biosciences, Suzhou, China
| | - Meng Wang
- Abogen Biosciences, Suzhou Abogen Biosciences, Suzhou, China
| | - Yan Wu
- Abogen Biosciences, Suzhou Abogen Biosciences, Suzhou, China
| | - Wen-Jie Song
- Abogen Biosciences, Suzhou Abogen Biosciences, Suzhou, China
| | - Bo Ying
- Abogen Biosciences, Suzhou Abogen Biosciences, Suzhou, China.
| | - Cheng-Feng Qin
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences (AMMS), Beijing, China; Research Unit of Discovery and Tracing of Natural Focus Diseases, Chinese Academy of Medical Sciences, Beijing, China.
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35
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Hauser D, Urda L, Lang C, Mittelholzer C, Otte F, Kipfer E, Zhang Y, Lett M, Schebitz C, Müller RU, Klimkait W, Klimkait T. Benefits of Repeated SARS-CoV-2 Vaccination and Virus-induced Cross-neutralization Potential in Immunocompromised Transplant Patients and Healthy Individuals. Open Forum Infect Dis 2024; 11:ofae527. [PMID: 39371367 PMCID: PMC11450466 DOI: 10.1093/ofid/ofae527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Accepted: 09/06/2024] [Indexed: 10/08/2024] Open
Abstract
Background Current COVID-19 vaccines primarily target the Spike protein of defined virus variants, offering limited protection against emerging variants in immunocompetent individuals. Similarly, protective immunity following natural SARS-CoV-2 infection is variable and of short duration, raising concerns about immunocompromised individuals' vaccination strategies. Methods This prospective multicenter study examined 66 sera from 59 immunocompromised and 451 sera from 215 immunocompetent individuals from different pandemic periods. We establish and validate a live virus-based neutralization assay to determine the virus-inactivating potential against ancestral and current SARS-CoV-2 isolates. Results Our virus-based neutralization assay demonstrated superior performance over surrogate neutralization assays. We found strong but transient immunity after complete vaccination schemes, with single doses providing minimum neutralization, regardless of vaccine type. Combining vaccination-induced immunity with SARS-CoV-2 infection before or after vaccination yielded higher neutralizing titers than vaccination or infection alone, consistent across both study groups. Additional doses after a full vaccination course restored neutralization levels. Conclusions Potentially protective SARS-CoV-2 neutralization is reliably induced in immunocompromised individuals by prior attenuation of immunosuppression. First-generation vaccines protect against various SARS-CoV-2 variants in immunocompetent individuals, with effective cross-neutralization demonstrated up to the Delta variant but largely absent for later Omicron variants. Continuous vaccine updates are necessary to address emerging SARS-CoV-2 variants.
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Affiliation(s)
- David Hauser
- Molecular Virology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Lorena Urda
- Molecular Virology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Christopher Lang
- Molecular Virology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | | | - Fabian Otte
- Molecular Virology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Enja Kipfer
- Molecular Virology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Yuepeng Zhang
- Molecular Virology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Martin Lett
- Molecular Virology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | | | - Roman-Ulrich Müller
- Department II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany
| | - Wilfried Klimkait
- KfH-Nierenzentrum, Heilig-Geist-Gesundheitszentrum, Köln-Longerich, Germany
| | - Thomas Klimkait
- Molecular Virology, Department of Biomedicine, University of Basel, Basel, Switzerland
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36
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Cui J, Wang L, Ghavamian A, Li X, Wang G, Wang T, Huang M, Ru Q, Zhao X. Long-term antibody response after the third dose of inactivated SARS-CoV-2 vaccine in MASLD patients. BMC Gastroenterol 2024; 24:329. [PMID: 39350092 PMCID: PMC11441169 DOI: 10.1186/s12876-024-03402-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 09/04/2024] [Indexed: 10/04/2024] Open
Abstract
BACKGROUND Metabolic dysfunction-associated steatotic liver disease (MASLD) patients are at an elevated risk of developing severe coronavirus disease 2019 (COVID-19). The objective of this study was to assess antibody responses and safety profiles six months after the third dose of the inactivated acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine in MASLD patients. METHODS This study included MASLD patients and healthy volunteers without a history of SARS-CoV-2 infection. Blood samples were collected six months after receiving the third dose of the inactivated vaccine to measure the levels of neutralizing antibodies (NAbs) and anti-spike IgG antibodies against SARS-CoV-2. RESULTS A total of 335 participants (214 MASLD patients and 121 healthy volunteers) were enrolled. The seroprevalence of NAb was 61.7% (132 of 214) in MASLD patients and 74.4% (90 of 121) in healthy volunteers, which was a significant difference (p = 0.018). Statistically significant differences in IgG seroprevalence were also observed between MASLD patients and healthy volunteers (p = 0.004). Multivariate analysis demonstrated that the severity of MASLD (OR, 2.97; 95% CI, 1.32-6.68; p = 0.009) and age (OR, 1.03; 95% CI, 1.01-1.06; p = 0.004) were independent risk factors for NAb negativity in MASLD patients. Moderate/severe MASLD patients had a lower NAb seroprevalence than mild MASLD patients (45.0% vs. 65.5%, p = 0.016). CONCLUSION Lower antibody responses were observed in MASLD patients six months after their third dose of the inactivated vaccine than in healthy volunteers, providing further assistance in monitoring patients who are more vulnerable to hypo-responsiveness to SARS-CoV-2 vaccines.
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Affiliation(s)
- Jin Cui
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
| | - Lianbang Wang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
| | - Armin Ghavamian
- Department of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, China
| | - Xuemei Li
- Department of Gastroenterology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China
| | - Gongzheng Wang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
| | - Tao Wang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
| | - Min Huang
- Department of Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
| | - Qi Ru
- Department of Ultrasound, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, 758 Hefei Road, Qingdao, Shandong, 266035, China.
| | - Xinya Zhao
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Jinan, Shandong, 250021, China
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Zhang Y, Chen A, Li D, Yuan Q, Zhu A, Deng J, Wang Y, Liu J, Liang C, Li W, Fang Q, Xie J, Zhang X, Zhang X, Zhang Y, Chen R, Pan T, Zhang H, He X. Development of T follicular helper cell-independent nanoparticle vaccines for SARS-CoV-2 or HIV-1 by targeting ICOSL. NPJ Vaccines 2024; 9:176. [PMID: 39341822 PMCID: PMC11438966 DOI: 10.1038/s41541-024-00971-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Accepted: 09/19/2024] [Indexed: 10/01/2024] Open
Abstract
T helper cells, particularly T follicular helper (TFH) cells, are essential for the neutralizing antibody production elicited by pathogens or vaccines. However, in immunocompromised individuals, the inefficient support from TFH cells could lead to limited protection after vaccine inoculation. Here we showed that the conjugation of inducible T cell costimulatory (ICOS) onto the nanoparticle, together with immunogen, significantly enhanced the immune response of the vaccines specific for SARS-CoV-2 or human immunodeficiency virus type-1 (HIV-1) in TFH-deficient mice. Further studies indicated that ICOSL on B cells was triggered by ICOS binding, subsequently activated the PKCβ signaling pathway, and enhanced the survival and proliferation of B cells. Our findings revealed that the stimulation of ICOS-ICOSL interaction by adding ICOS on the nanoparticle vaccine significantly substitutes the function of TFH cells to support B cell response, which is significant for the immunocompromised people, such as the elderly or HIV-1-infected individuals.
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Affiliation(s)
- Yongli Zhang
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Achun Chen
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Daiying Li
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Quyu Yuan
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Airu Zhu
- Guangzhou Laboratory, Bio-island, Guangzhou, China
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jieyi Deng
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Yalin Wang
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Jie Liu
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Chaofeng Liang
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Wenjie Li
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Qiannan Fang
- Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Jiatong Xie
- Shenzhen College of International Education, No. 3 Antuoshan 6th Road, Futian District, Shenzhen, China
| | - Xiantao Zhang
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Xu Zhang
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Yiwen Zhang
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Ran Chen
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Ting Pan
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Center for Infection and Immunity Study, School of Medicine, Sun Yat-sen University, Shenzhen, China
| | - Hui Zhang
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Guangzhou Laboratory, Bio-island, Guangzhou, China
| | - Xin He
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, and Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
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Chen M, Wu G, Lu Y, Sun S, Yu Z, Pan X, Chen W, Xu H, Qiu H, He W, Li X, Wang X, Luo Y, Du Y, Wu J, Wei K, Zhang W, Liu Z, He Z. A p21-ATD mouse model for monitoring and eliminating senescent cells and its application in liver regeneration post injury. Mol Ther 2024; 32:2992-3011. [PMID: 38582962 PMCID: PMC11403235 DOI: 10.1016/j.ymthe.2024.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 02/10/2024] [Accepted: 04/03/2024] [Indexed: 04/08/2024] Open
Abstract
Cellular senescence associates with pathological aging and tissue dysfunctions. Studies utilizing mouse models for cell lineage tracings have emphasized the importance of senescence heterogeneity in different organs and cell types. Here, we constructed a p21- (Akaluc - tdTomato - Diphtheria Toxin Receptor [DTR]) (ATD) mouse model to specifically study the undefined mechanism for p21-expressing senescent cells in the aged and liver injury animals. The successful expressions of these genes enabled in vitro flow cytometric sorting, in vivo tracing, and elimination of p21-expressing senescent cells. During the natural aging process, p21-expressing cells were found in various tissues of p21-ATD mice. Eliminating p21-expressing cells in the aged p21-ATD mice recovered their multiple biological functions. p21-ATD/Fah-/- mice, bred from p21-ATD mice and fumarylacetoacetate hydrolase (Fah)-/- mice of liver injury, showed that the majority of their senescent hepatocytes were the phenotype of p21+ rather than p16+. Furthermore, eliminating the p21-expressing hepatocytes significantly promoted the engraftment of grafted hepatocytes and facilitated liver repopulation, resulting in significant recovery from liver injury. Our p21-ATD mouse model serves as an optimal model for studying the pattern and function of p21-expressing senescent cells under the physical and pathological conditions during aging.
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Affiliation(s)
- Miaomiao Chen
- Institute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200123, P.R. China; Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai 200335, P.R. China; Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200123, P.R. China
| | - Guoxiu Wu
- Institute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200123, P.R. China; Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai 200335, P.R. China; Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200123, P.R. China
| | - Yanli Lu
- Institute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200123, P.R. China; Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai 200335, P.R. China; Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200123, P.R. China
| | - Shiwen Sun
- Institute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200123, P.R. China; Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai 200335, P.R. China; Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200123, P.R. China
| | - Zhao Yu
- Institute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200123, P.R. China; Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai 200335, P.R. China; Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200123, P.R. China
| | - Xin Pan
- Institute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200123, P.R. China; Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai 200335, P.R. China; Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200123, P.R. China
| | - Wenjian Chen
- Institute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200123, P.R. China; Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai 200335, P.R. China; Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200123, P.R. China
| | - Hongyu Xu
- Institute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200123, P.R. China; Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai 200335, P.R. China; Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200123, P.R. China
| | - Hua Qiu
- Department of General Surgery, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province 330006, P.R. China
| | - Weizhi He
- Institute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200123, P.R. China; Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai 200335, P.R. China; Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200123, P.R. China
| | - Xiuhua Li
- Institute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200123, P.R. China; Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai 200335, P.R. China; Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200123, P.R. China
| | - Xicheng Wang
- Institute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200123, P.R. China; Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai 200335, P.R. China; Department of Cardiology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China
| | - Yi Luo
- Institute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200123, P.R. China; Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai 200335, P.R. China; Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200123, P.R. China
| | - Yuan Du
- Department of General Surgery, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province 330006, P.R. China
| | - Jialing Wu
- Institute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200123, P.R. China; Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai 200335, P.R. China; Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200123, P.R. China
| | - Ke Wei
- Institute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200123, P.R. China
| | - Wencheng Zhang
- Institute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200123, P.R. China; Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai 200335, P.R. China; Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200123, P.R. China
| | - Zhongmin Liu
- Institute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200123, P.R. China; Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200123, P.R. China; Department of Cardiology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China
| | - Zhiying He
- Institute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200123, P.R. China; Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai 200335, P.R. China; Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200123, P.R. China.
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Benhamouda N, Besbes A, Bauer R, Mabrouk N, Gadouas G, Desaint C, Chevrier L, Lefebvre M, Radenne A, Roelens M, Parfait B, Weiskopf D, Sette A, Gruel N, Courbebaisse M, Appay V, Paul S, Gorochov G, Ropers J, Lebbah S, Lelievre JD, Johannes L, Ulmer J, Lebeaux D, Friedlander G, De Lamballerie X, Ravel P, Kieny MP, Batteux F, Durier C, Launay O, Tartour E. Cytokine profile of anti-spike CD4 +T cells predicts humoral and CD8 +T cell responses after anti-SARS-CoV-2 mRNA vaccination. iScience 2024; 27:110441. [PMID: 39104410 PMCID: PMC11298648 DOI: 10.1016/j.isci.2024.110441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/31/2024] [Accepted: 07/01/2024] [Indexed: 08/07/2024] Open
Abstract
Coordinating immune responses - humoral and cellular - is vital for protection against severe Covid-19. Our study evaluates a multicytokine CD4+T cell signature's predictive for post-vaccinal serological and CD8+T cell responses. A cytokine signature composed of four cytokines (IL-2, TNF-α, IP10, IL-9) excluding IFN-γ, and generated through machine learning, effectively predicted the CD8+T cell response following mRNA-1273 or BNT162b2 vaccine administration. Its applicability extends to murine vaccination models, encompassing diverse immunization routes (such as intranasal) and vaccine platforms (including adjuvanted proteins). Notably, we found correlation between CD4+T lymphocyte-produced IL-21 and the humoral response. Consequently, we propose a test that offers a rapid overview of integrated immune responses. This approach holds particular relevance for scenarios involving immunocompromised patients because they often have low cell counts (lymphopenia) or pandemics. This study also underscores the pivotal role of CD4+T cells during a vaccine response and highlights their value in vaccine immunomonitoring.
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Affiliation(s)
- Nadine Benhamouda
- Department of Immunology, Hôpital Européen Georges-Pompidou, Hôpital Necker Department of Immunology, Paris, France
- Université Paris Cité, INSERM U970, PARCC, Department of Immunology, Hôpital Européen Georges-Pompidou, Hôpital Necker Department of Immunology, Paris, France
| | - Anissa Besbes
- Department of Immunology, Hôpital Européen Georges-Pompidou, Hôpital Necker Department of Immunology, Paris, France
- Université Paris Cité, INSERM U970, PARCC, Department of Immunology, Hôpital Européen Georges-Pompidou, Hôpital Necker Department of Immunology, Paris, France
| | | | - Nesrine Mabrouk
- Université Paris Cité, INSERM U970, PARCC, Department of Immunology, Hôpital Européen Georges-Pompidou, Hôpital Necker Department of Immunology, Paris, France
| | - Gauthier Gadouas
- Bioinformatics and Cancer System Biology Team, IRCM-INSERM U1194, Institut de Recherche en Cancerologie de Montpellier, Montpellier, France
| | - Corinne Desaint
- INSERM SC10-US019, Villejuif, France
- Université Paris Cité, INSERM, CIC 1417, F-CRIN, Innovative Clinical Research Network in Vaccinology (I-REIVAC), APHP, CIC Cochin Pasteur, Hôpital Cochin, Paris, France
| | - Lucie Chevrier
- Université Paris Cité, INSERM U1016 Insitut Cochin, Hôpital Cochin, APHP, Centre Service d’immunologie Biologique, Paris, France
| | - Maeva Lefebvre
- Service de maladies infectieuses et tropicales, Centre de prévention des maladies infectieuses et transmissibles CHU de Nantes, Nantes, France
| | - Anne Radenne
- Unité de Recherche Clinique des Hôpitaux Universitaires Pitié Salpêtrière-Hôpitaux Universitaires Pitié Salpêtrière - Charles Foix, APHP, Paris, France
| | - Marie Roelens
- Department of Immunology, Hôpital Européen Georges-Pompidou, Hôpital Necker Department of Immunology, Paris, France
- Université Paris Cité, INSERM U970, PARCC, Department of Immunology, Hôpital Européen Georges-Pompidou, Hôpital Necker Department of Immunology, Paris, France
| | - Béatrice Parfait
- Centre de ressources Biologiques, Hôpital Cochin, APHP, Paris, France
| | - Daniela Weiskopf
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA, USA
- Department of Medicine, School of Medicine in Health Sciences, University of California, San Diego (UCSD), La Jolla, CA, USA
| | - Alessandro Sette
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA, USA
- Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego (UCSD), La Jolla, CA, USA
| | - Nadège Gruel
- INSERM U830, Équipe Labellisée Ligue Nationale Contre le Cancer, Diversity and Plasticity of Childhood Tumors Lab, Centre de Recherche, Institut Curie, Université PSL, Paris, France
- Department of Translational Research, Centre de Recherche, Institut Curie, Université PSL, Paris, France
| | - Marie Courbebaisse
- Faculté de Médecine, Université Paris Cité, Paris, France
- Explorations fonctionnelles rénales, Physiologie, Hôpital Européen Georges-Pompidou, APHP, Paris, France
| | - Victor Appay
- Université de Bordeaux, CNRS UMR 5164, INSERM ERL 1303, ImmunoConcEpT, 33000 Bordeaux, France
- International Research Center of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Stephane Paul
- Centre International de Recherche en Infectiologie, Team GIMAP, Université Jean Monnet, Université Claude Bernard Lyon, INSERM, CIC 1408 INSERM Vaccinology, Immunology Department, iBiothera Reference Center, University Hospital of Saint-Etienne, Saint-Etienne, France
| | - Guy Gorochov
- Sorbonne Université, INSERM, Centre d'Immunologie et des Maladies Infectieuses, APHP, Hôpital Pitié-Salpêtrière, Paris, France
| | - Jacques Ropers
- Unité de Recherche Clinique des Hôpitaux Universitaires Pitié Salpêtrière –Hôpitaux Universitaires Pitié Salpêtrière- Charles Foix, APHP, Paris, France
| | - Said Lebbah
- Unité de Recherche Clinique des Hôpitaux Universitaires Pitié Salpêtrière –Hôpitaux Universitaires Pitié Salpêtrière- Charles Foix, APHP, Paris, France
| | - Jean-Daniel Lelievre
- Vaccine Research Institute, Créteil, France
- INSERM U955, Université Paris-Est Créteil, Créteil, France
- Groupe Henri-Mondor Albert-Chenevier, APHP, Créteil, France
| | - Ludger Johannes
- Cellular and Chemical Biology Unit, U1143 INSERM, UMR3666 CNRS, Institut Curie, Centre de Recherche, Université PSL, Paris, France
| | - Jonathan Ulmer
- Cellular and Chemical Biology Unit, U1143 INSERM, UMR3666 CNRS, Institut Curie, Centre de Recherche, Université PSL, Paris, France
| | - David Lebeaux
- Université Paris Cité, Service de maladies infectieuses Hôpital Saint Louis/Lariboisère APHP, INSERM, Paris, France
| | - Gerard Friedlander
- Department of « Croissance et Signalisation », Institut Necker Enfants Malades, INSERM U1151, CNRS UMR 8253, Université de Paris Cité, Paris, France
| | - Xavier De Lamballerie
- Unité des Virus Émergents, UVE: Aix-Marseille Université, IRD 190, INSERM 1207 Marseille, France
| | - Patrice Ravel
- Bioinformatics and Cancer System Biology Team, IRCM-INSERM U1194, Institut de Recherche en Cancerologie de Montpellier, Montpellier, France
| | - Marie Paule Kieny
- Institut National de la Santé et de la Recherche Médicale, INSERM, Paris, France
| | - Fréderic Batteux
- Université Paris Cité, INSERM U1016 Insitut Cochin, Hôpital Cochin, APHP, Centre Service d’immunologie Biologique, Paris, France
| | | | - Odile Launay
- Université Paris Cité, INSERM, CIC 1417, F-CRIN, Innovative Clinical Research Network in Vaccinology (I-REIVAC), APHP, CIC Cochin Pasteur, Hôpital Cochin, Paris, France
| | - Eric Tartour
- Department of Immunology, Hôpital Européen Georges-Pompidou, Hôpital Necker Department of Immunology, Paris, France
- Université Paris Cité, INSERM U970, PARCC, Department of Immunology, Hôpital Européen Georges-Pompidou, Hôpital Necker Department of Immunology, Paris, France
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Li Z, Hu P, Qu L, Yang M, Qiu M, Xie C, Yang H, Cao J, Yi L, Liu Z, Zou L, Lian H, Zeng H, Xu S, Hu P, Sun J, He J, Chen L, Yang Y, Li B, Sun L, Lu J. Molecular epidemiology and population immunity of SARS-CoV-2 in Guangdong (2022-2023) following a pivotal shift in the pandemic. Nat Commun 2024; 15:7033. [PMID: 39147778 PMCID: PMC11327343 DOI: 10.1038/s41467-024-51141-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 07/31/2024] [Indexed: 08/17/2024] Open
Abstract
The SARS-CoV-2 Omicron variant sparked the largest wave of infections worldwide. Mainland China eased its strict COVID-19 measures in late 2022 and experienced two nationwide Omicron waves in 2023. Here, we investigated lineage distribution and virus evolution in Guangdong, China, 2022-2023 by comparing 5813 local viral genomes with the datasets from other regions of China and worldwide. Additionally, we conducted three large-scale serological surveys involving 1696 participants to measure their immune response to the BA.5 and XBB.1.9 before and after the corresponding waves. Our findings revealed the Omicron variants, mainly the BA.5.2.48 lineage, causing infections in over 90% of individuals across different age groups within a month. This rapid spread led to the establishment of widespread immunity, limiting the virus's ability to further adaptive mutation and dissemination. While similar immune responses to BA.5 were observed across all age groups after the initial wave, children aged 3 to 11 developed a stronger cross immune response to the XBB.1.9 strain, possibly explaining their lower infection rates in the following XBB.1 wave. Reinfection with Omicron XBB.1 variant triggered a more potent neutralizing immune response among older adults. These findings highlight the impact of age-specific immune responses on viral spread in potential future waves.
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Affiliation(s)
- Zhencui Li
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Pei Hu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Lin Qu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Institution of Public Health, Guangzhou, Guangdong, China
| | - Mingda Yang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- Guangdong Provincial Institution of Public Health, Guangzhou, Guangdong, China
- School of Basic Medicine and Public Health, Jinan University, Guangzhou, Guangdong, China
| | - Ming Qiu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Institution of Public Health, Guangzhou, Guangdong, China
| | - Chunyan Xie
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- Guangdong Provincial Institution of Public Health, Guangzhou, Guangdong, China
- School of Basic Medicine and Public Health, Jinan University, Guangzhou, Guangdong, China
| | - Haiyi Yang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Institution of Public Health, Guangzhou, Guangdong, China
| | - Jiadian Cao
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Institution of Public Health, Guangzhou, Guangdong, China
| | - Lina Yi
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- Guangdong Provincial Institution of Public Health, Guangzhou, Guangdong, China
| | - Zhe Liu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- Guangdong Provincial Institution of Public Health, Guangzhou, Guangdong, China
| | - Lirong Zou
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Huimin Lian
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- Guangdong Provincial Institution of Public Health, Guangzhou, Guangdong, China
- School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Huiling Zeng
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- Guangdong Provincial Institution of Public Health, Guangzhou, Guangdong, China
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Shaojian Xu
- Longhua District Center for Disease Control and Prevention, Shenzhen, Guangdong, China
| | - Pengwei Hu
- Nanshan District Center for Disease Control and Prevention, Shenzhen, Guangdong, China
| | - Jiufeng Sun
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- Guangdong Provincial Institution of Public Health, Guangzhou, Guangdong, China
| | - Jianfeng He
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Liang Chen
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- Guangdong Provincial Institution of Public Health, Guangzhou, Guangdong, China
| | - Ying Yang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- Guangdong Provincial Institution of Public Health, Guangzhou, Guangdong, China
| | - Baisheng Li
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
| | - Limei Sun
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
| | - Jing Lu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
- School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
- Guangdong Provincial Institution of Public Health, Guangzhou, Guangdong, China.
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Alessandra R, Sara C, Claudia P, Natasha G, Federica C, Chiara B, Tobia F, Stefano T, Eleonora R, Andrea M, Martin MN, Caterina UF, Nigel T, Stefania DSM, Lucia L, Chiara P. Immune signature in vaccinated versus non-vaccinated aged people with COVID-19 pneumonia. J Transl Med 2024; 22:755. [PMID: 39135151 PMCID: PMC11318244 DOI: 10.1186/s12967-024-05556-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Accepted: 07/29/2024] [Indexed: 08/16/2024] Open
Abstract
BACKGROUND A definition of the immunological features of COVID-19 pneumonia is needed to support clinical management of aged patients. In this study, we characterized the humoral and cellular immune responses in presence or absence of SARS-CoV-2 vaccination, in aged patients admitted to the IRCCS San Raffaele Hospital (Italy) for COVID-19 pneumonia between November 2021 and March 2022. METHODS The study was approved by local authorities. Disease severity was evaluated according to WHO guidelines. We tested: (A) anti-SARS-CoV-2 humoral response (anti-RBD-S IgG, anti-S IgM, anti-N IgG, neutralizing activity against Delta, BA1, BA4/5 variants); (B) Lymphocyte B, CD4 and CD8 T-cell phenotype; (C) plasma cytokines. The impact of vaccine administration and different variants on the immunological responses was evaluated using standard linear regression models and Tobit models for censored outcomes adjusted for age, vaccine doses and gender. RESULT We studied 47 aged patients (median age 78.41), 22 (47%) female, 33 (70%) older than 70 years (elderly). At hospital admission, 36% were unvaccinated (VACno), whilst 63% had received 2 (VAC2) or 3 doses (VAC3) of vaccine. During hospitalization, WHO score > 5 was higher in unvaccinated (14% in VAC3 vs. 43% in VAC2 and 44% VACno). Independently from vaccination doses and gender, elderly had overall reduced anti-SARS-CoV-2 humoral response (IgG-RBD-S, p = 0.0075). By linear regression, the anti-RBD-S (p = 0.0060), B (p = 0.0079), CD8 (p = 0.0043) and Th2 cell counts (p = 0.0131) were higher in VAC2 + 3 compared to VACno. Delta variant was the most representative in VAC2 (n = 13/18, 72%), detected in 41% of VACno, whereas undetected in VAC3, and anti-RBD-S production was higher in VAC2 vs. VACno (p = 0.0001), alongside neutralization against Delta (p = 0141), BA1 (p = 0.0255), BA4/5 (p = 0.0162). Infections with Delta also drove an increase of pro-inflammatory cytokines (IFN-α, p = 0.0463; IL-6, p = 0.0010). CONCLUSIONS Administration of 3 vaccination doses reduces the severe symptomatology in aged and elderly. Vaccination showed a strong association with anti-SARS-CoV-2 humoral response and an expansion of Th2 T-cells populations, independently of age. Delta variants and number of vaccine doses affected the magnitude of the humoral response against the original SARS-CoV-2 and emerging variants. A systematic surveillance of the emerging variants is paramount to define future vaccination strategies.
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Affiliation(s)
- Ruggiero Alessandra
- Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Caldrer Sara
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore Don Calabria Hospital, Verona, Negrar, Italy
| | - Pastori Claudia
- Division of Immunology, Transplantation and Infectious Disease, Immunobiology of HIV Group, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Gianesini Natasha
- Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Cugnata Federica
- University Centre of Statistics in the Biomedical Sciences, Vita-Salute San Raffaele University, Milan, Italy
| | - Brombin Chiara
- University Centre of Statistics in the Biomedical Sciences, Vita-Salute San Raffaele University, Milan, Italy
| | - Fantoni Tobia
- Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Tais Stefano
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore Don Calabria Hospital, Verona, Negrar, Italy
| | - Rizzi Eleonora
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore Don Calabria Hospital, Verona, Negrar, Italy
| | - Matucci Andrea
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore Don Calabria Hospital, Verona, Negrar, Italy
| | - Mayora-Neto Martin
- Viral Pseudotype Unit, Medway School of Pharmacy, Universities of Kent and Greenwich, Chatham, UK
| | | | - Temperton Nigel
- Viral Pseudotype Unit, Medway School of Pharmacy, Universities of Kent and Greenwich, Chatham, UK
| | | | - Lopalco Lucia
- Division of Immunology, Transplantation and Infectious Disease, Immunobiology of HIV Group, IRCCS San Raffaele Scientific Institute, Milan, Italy.
| | - Piubelli Chiara
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore Don Calabria Hospital, Verona, Negrar, Italy
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Dallan B, Proietto D, De Laurentis M, Gallerani E, Martino M, Ghisellini S, Zurlo A, Volpato S, Govoni B, Borghesi M, Albanese V, Appay V, Bonnini S, Llewellyn-Lacey S, Pacifico S, Grumiro L, Brandolini M, Semprini S, Sambri V, Ladell K, Parry HM, Moss PAH, Price DA, Caputo A, Gavioli R, Nicoli F. Age differentially impacts adaptive immune responses induced by adenoviral versus mRNA vaccines against COVID-19. NATURE AGING 2024; 4:1121-1136. [PMID: 38918602 DOI: 10.1038/s43587-024-00644-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 05/02/2024] [Indexed: 06/27/2024]
Abstract
Adenoviral and mRNA vaccines encoding the viral spike (S) protein have been deployed globally to contain severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Older individuals are particularly vulnerable to severe infection, probably reflecting age-related changes in the immune system, which can also compromise vaccine efficacy. It is nonetheless unclear to what extent different vaccine platforms are impacted by immunosenescence. Here, we evaluated S protein-specific immune responses elicited by vaccination with two doses of BNT162b2 or ChAdOx1-S and subsequently boosted with a single dose of BNT162b2 or mRNA-1273, comparing age-stratified participants with no evidence of previous infection with SARS-CoV-2. We found that aging profoundly compromised S protein-specific IgG titers and further limited S protein-specific CD4+ and CD8+ T cell immunity as a probable function of progressive erosion of the naive lymphocyte pool in individuals vaccinated initially with BNT162b2. Our results demonstrate that primary vaccination with ChAdOx1-S and subsequent boosting with BNT162b2 or mRNA-1273 promotes sustained immunological memory in older adults and potentially confers optimal protection against coronavirus disease 2019.
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Affiliation(s)
- Beatrice Dallan
- Department of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, Ferrara, Italy
| | - Davide Proietto
- Department of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, Ferrara, Italy
| | - Martina De Laurentis
- Department of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, Ferrara, Italy
| | - Eleonora Gallerani
- Department of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, Ferrara, Italy
| | - Mara Martino
- Department of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, Ferrara, Italy
| | - Sara Ghisellini
- Laboratory of Clinical Pathology, University Hospital St. Anna, Ferrara, Italy
| | - Amedeo Zurlo
- Department of Medical Sciences, University of Ferrara, Geriatrics Unit, University Hospital of Ferrara, Ferrara, Italy
| | - Stefano Volpato
- Department of Medical Sciences, University of Ferrara, Geriatrics Unit, University Hospital of Ferrara, Ferrara, Italy
| | - Benedetta Govoni
- Department of Medical Sciences, University of Ferrara, Geriatrics Unit, University Hospital of Ferrara, Ferrara, Italy
| | - Michela Borghesi
- Department of Economics and Management, University of Ferrara, Ferrara, Italy
| | - Valentina Albanese
- Department of Environmental and Prevention Sciences, University of Ferrara, Ferrara, Italy
| | - Victor Appay
- Université de Bordeaux, CNRS UMR 5164, INSERM ERL 1303, ImmunoConcEpT, Bordeaux, France
| | - Stefano Bonnini
- Department of Economics and Management, University of Ferrara, Ferrara, Italy
| | - Sian Llewellyn-Lacey
- Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK
| | - Salvatore Pacifico
- Department of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, Ferrara, Italy
| | - Laura Grumiro
- Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Martina Brandolini
- Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Simona Semprini
- Unit of Microbiology, Greater Romagna Area Hub Laboratory, Cesena, Italy
| | - Vittorio Sambri
- Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy
- Unit of Microbiology, Greater Romagna Area Hub Laboratory, Cesena, Italy
| | - Kristin Ladell
- Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK
| | - Helen M Parry
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Paul A H Moss
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - David A Price
- Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK
- Systems Immunity Research Institute, Cardiff University School of Medicine, Cardiff, UK
| | - Antonella Caputo
- Department of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, Ferrara, Italy
| | - Riccardo Gavioli
- Department of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, Ferrara, Italy
| | - Francesco Nicoli
- Department of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, Ferrara, Italy.
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Capone M, Vanni A, Salvati L, Lamacchia G, Mazzoni A, Maggi L, Cosmi L, Liotta F, Romagnani P, Cirillo L, Buti E, Terlizzi V, Azzari C, Citera F, Barbati F, Rossolini GM, Bresci S, Borchi B, Cavallo A, Mencarini J, Francalanci E, Kiros ST, Bartoloni A, Annunziato F. Effect of antimetabolite regimen on cellular and humoral immune response to SARS-COV-2 vaccination in solid organ transplant recipients. Immunol Lett 2024; 268:106886. [PMID: 38906482 DOI: 10.1016/j.imlet.2024.106886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 06/14/2024] [Accepted: 06/17/2024] [Indexed: 06/23/2024]
Abstract
OBJECTIVE Novel mRNA-based vaccines have been proven to be powerful tools in combating the global pandemic caused by SARS-CoV-2 protecting individuals, especially the immunocompromised, from COVID-19. Still, it remains largely unknown how solid organ transplant and different immunosuppressive medications affect development of vaccine-induced immunity. METHODS In this work, we monitored humoral and cellular memory responses after mRNA SARS-CoV-2 two-doses and booster doses vaccination in cystic fibrosis lung transplanted patients (CFT) and compared them with both cystic fibrosis patients without lung transplant (CF) and with kidney transplant recipients (KT). In particular, we investigated the effects of immunosuppressive regimens on immune memory to SARS-CoV-2 after mRNA SARS-CoV-2 vaccine in transplanted patients. RESULTS Our results showed that immunocompromised transplanted patients displayed a weak cellular and humoral memory to SARS-CoV-2 mRNA vaccination. In addition, obtained data clearly demonstrate that immunosuppressive therapy regimen including antimetabolites, further reduces patients' ability to respond to vaccination at both humoral and cell-mediated level. Notably, patient treated with antimetabolites showed a lower humoral and cellular response also after a booster dose vaccination. CONCLUSION These results, even if obtained on a small patient's cohort, question whether immunocompromised patients need interventions to improve vaccine SARS-CoV-2 mRNA vaccine response such as additional jab or modulation of immunosuppressive therapy.
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Affiliation(s)
- Manuela Capone
- University of Florence, Experimental and Clinical Medicine, Florence, Italy; Department of Laboratory Medicine, Azienda USL-Toscana Centro, Florence, Italy
| | - Anna Vanni
- University of Florence, Experimental and Clinical Medicine, Florence, Italy
| | - Lorenzo Salvati
- University of Florence, Experimental and Clinical Medicine, Florence, Italy
| | - Giulia Lamacchia
- University of Florence, Experimental and Clinical Medicine, Florence, Italy
| | - Alessio Mazzoni
- University of Florence, Experimental and Clinical Medicine, Florence, Italy; Flow cytometry diagnostic center and immunotherapy, Careggi University Hospital, Florence, Italy
| | - Laura Maggi
- University of Florence, Experimental and Clinical Medicine, Florence, Italy
| | - Lorenzo Cosmi
- University of Florence, Experimental and Clinical Medicine, Florence, Italy; Immunology and Cell Therapy Unit, Careggi University Hospital, Florence, Italy
| | - Francesco Liotta
- University of Florence, Experimental and Clinical Medicine, Florence, Italy; Immunology and Cell Therapy Unit, Careggi University Hospital, Florence, Italy
| | - Paola Romagnani
- University of Florence, Experimental and Clinical Biomedical Sciences "Mario Serio", Florence, Italy; Nephrology and Dialysis Unit, Meyer Children's University Hospital IRCCS, Florence, Italy
| | - Luigi Cirillo
- Nephrology and Dialysis Unit, Meyer Children's University Hospital IRCCS, Florence, Italy
| | - Elisa Buti
- Nephrology and Dialysis Unit, Meyer Children's University Hospital IRCCS, Florence, Italy
| | - Vito Terlizzi
- Cystic Fibrosis Centre, Department of Paediatric Medicine, Meyer Children's University Hospital IRCCS, Florence, Italy
| | - Chiara Azzari
- Immunology and Molecular Microbiology Unit, Meyer Children's University Hospital IRCCS, Florence, Italy
| | - Francesco Citera
- Immunology and Molecular Microbiology Unit, Meyer Children's University Hospital IRCCS, Florence, Italy
| | - Federica Barbati
- Immunology and Molecular Microbiology Unit, Meyer Children's University Hospital IRCCS, Florence, Italy; Pediatrics and Neonatology Unit, Santo Stefano Hospital, AUSL Toscana Centro, Prato, Italy
| | - Gian Maria Rossolini
- University of Florence, Experimental and Clinical Medicine, Florence, Italy; Microbiology and Virology Unit, Careggi University Hospital, Florence, Italy
| | - Silvia Bresci
- Infectious and Tropical Diseases Unit, Careggi University Hospital, Florence, Italy
| | - Beatrice Borchi
- Infectious and Tropical Diseases Unit, Careggi University Hospital, Florence, Italy
| | - Annalisa Cavallo
- Infectious and Tropical Diseases Unit, Careggi University Hospital, Florence, Italy
| | - Jessica Mencarini
- Infectious and Tropical Diseases Unit, Careggi University Hospital, Florence, Italy
| | - Emanuela Francalanci
- Infectious and Tropical Diseases Unit, Careggi University Hospital, Florence, Italy
| | - Seble Tekle Kiros
- Infectious and Tropical Diseases Unit, Careggi University Hospital, Florence, Italy
| | - Alessandro Bartoloni
- University of Florence, Experimental and Clinical Medicine, Florence, Italy; Infectious and Tropical Diseases Unit, Careggi University Hospital, Florence, Italy
| | - Francesco Annunziato
- University of Florence, Experimental and Clinical Medicine, Florence, Italy; Flow cytometry diagnostic center and immunotherapy, Careggi University Hospital, Florence, Italy.
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van de Sandt CE, Kedzierska K. Robust immunity conferred by combining COVID-19 vaccine platforms in older adults. NATURE AGING 2024; 4:1036-1038. [PMID: 38997423 DOI: 10.1038/s43587-024-00668-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/14/2024]
Affiliation(s)
- Carolien E van de Sandt
- Department of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia.
| | - Katherine Kedzierska
- Department of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia.
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Liu X, Zhou M, Fang M, Xie Y, Chen P, Chen R, Wu K, Ye J, Liu C, Zhu H, Cheng T, Yuan L, Zhao H, Guan Y, Xia N. Decisive reversal of lethal coronavirus disease 2019 in senescent hamster by synchronic antiviral and immunoregulatory intervention. MedComm (Beijing) 2024; 5:e642. [PMID: 39036342 PMCID: PMC11258460 DOI: 10.1002/mco2.642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 06/06/2024] [Accepted: 06/07/2024] [Indexed: 07/23/2024] Open
Abstract
The poor prognosis observed in elderly individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains a serious clinical burden and the underlying mechanism is unclear, which necessities detailed investigation of disease characteristics and research for efficient countermeasures. To simulate lethal coronavirus disease 2019 (COVID-19) in senescent human patients, 80-week-old male hamsters are intranasally inoculated with different doses of SARS-CoV-2 Omicron BA.5 variant. Exposure to a low dose of the Omicron BA.5 variant results in early activation of the innate immune response, followed by rapid viral clearance and minimal lung damage. However, a high dose of BA.5 results in impaired interferon signaling, cytokine storm, uncontrolled viral replication, and severe lung injury. To decrease viral load and reverse the deterioration of COVID-19, a new bio-mimic decoy called CoVR-MV is used as a preventive or therapeutic agent. Administration of CoVR-MV as a preventive or therapeutic intervention in the early stages of infection can effectively suppress viral load, regulate the immune response, and rescue animals from death and critical illness. These findings underscore the risk associated with SARS-CoV-2 Omicron BA.5 exposure in senescent hamsters and highlight the importance of early intervention to prevent disease progression.
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Affiliation(s)
- Xuan Liu
- Clinical Center for Bio‐TherapyZhongshan HospitalFudan University (Xiamen Branch)XiamenFujianChina
- State Key Laboratory of Vaccines for Infectious Diseases, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, School of Life Sciences & School of Public HealthXiamen UniversityXiamenFujianChina
| | - Ming Zhou
- State Key Laboratory of Vaccines for Infectious Diseases, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, School of Life Sciences & School of Public HealthXiamen UniversityXiamenFujianChina
| | - Mujing Fang
- State Key Laboratory of Vaccines for Infectious Diseases, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, School of Life Sciences & School of Public HealthXiamen UniversityXiamenFujianChina
| | - Ying Xie
- National Institute for Food and Drug ControlBeijingChina
- Institute of Medical BiologyChinese Academy of Medical Science and Peking Union Medical CollegeKunmingChina
| | - Peiwen Chen
- State Key Laboratory of Emerging Infectious Diseases, School of Public Health, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina
- Guangdong‐Hong Kong Joint Laboratory of Emerging Infectious Diseases/Joint Laboratory for International Collaboration in Virology and Emerging Infectious Diseases, Joint Institute of Virology (STU/HKU)Shantou UniversityShantouGuangdongChina
| | - Rirong Chen
- State Key Laboratory of Emerging Infectious Diseases, School of Public Health, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina
- Guangdong‐Hong Kong Joint Laboratory of Emerging Infectious Diseases/Joint Laboratory for International Collaboration in Virology and Emerging Infectious Diseases, Joint Institute of Virology (STU/HKU)Shantou UniversityShantouGuangdongChina
| | - Kun Wu
- State Key Laboratory of Vaccines for Infectious Diseases, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, School of Life Sciences & School of Public HealthXiamen UniversityXiamenFujianChina
| | - Jianghui Ye
- State Key Laboratory of Vaccines for Infectious Diseases, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, School of Life Sciences & School of Public HealthXiamen UniversityXiamenFujianChina
| | - Che Liu
- State Key Laboratory of Vaccines for Infectious Diseases, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, School of Life Sciences & School of Public HealthXiamen UniversityXiamenFujianChina
| | - Huachen Zhu
- State Key Laboratory of Emerging Infectious Diseases, School of Public Health, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina
- Guangdong‐Hong Kong Joint Laboratory of Emerging Infectious Diseases/Joint Laboratory for International Collaboration in Virology and Emerging Infectious Diseases, Joint Institute of Virology (STU/HKU)Shantou UniversityShantouGuangdongChina
| | - Tong Cheng
- State Key Laboratory of Vaccines for Infectious Diseases, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, School of Life Sciences & School of Public HealthXiamen UniversityXiamenFujianChina
| | - Lunzhi Yuan
- State Key Laboratory of Vaccines for Infectious Diseases, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, School of Life Sciences & School of Public HealthXiamen UniversityXiamenFujianChina
| | - Hui Zhao
- National Institute for Food and Drug ControlBeijingChina
| | - Yi Guan
- State Key Laboratory of Emerging Infectious Diseases, School of Public Health, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina
- Guangdong‐Hong Kong Joint Laboratory of Emerging Infectious Diseases/Joint Laboratory for International Collaboration in Virology and Emerging Infectious Diseases, Joint Institute of Virology (STU/HKU)Shantou UniversityShantouGuangdongChina
| | - Ningshao Xia
- State Key Laboratory of Vaccines for Infectious Diseases, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, School of Life Sciences & School of Public HealthXiamen UniversityXiamenFujianChina
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46
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Brook B, Duval V, Barman S, Speciner L, Sweitzer C, Khanmohammed A, Menon M, Foster K, Ghosh P, Abedi K, Koster J, Nanishi E, Baden LR, Levy O, VanCott T, Micol R, Dowling DJ. Adjuvantation of a SARS-CoV-2 mRNA vaccine with controlled tissue-specific expression of an mRNA encoding IL-12p70. Sci Transl Med 2024; 16:eadm8451. [PMID: 39047117 DOI: 10.1126/scitranslmed.adm8451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 03/18/2024] [Accepted: 06/24/2024] [Indexed: 07/27/2024]
Abstract
Messenger RNA (mRNA) vaccines were pivotal in reducing severe acute respiratory syndrome 2 (SARS-CoV-2) infection burden, yet they have not demonstrated robust durability, especially in older adults. Here, we describe a molecular adjuvant comprising a lipid nanoparticle (LNP)-encapsulated mRNA encoding interleukin-12p70 (IL-12p70). The bioactive adjuvant was engineered with a multiorgan protection (MOP) sequence to restrict transcript expression to the intramuscular injection site. Admixing IL-12-MOP (CTX-1796) with the BNT162b2 SARS-CoV-2 vaccine increased spike protein-specific immune responses in mice. Specifically, the benefits of IL-12-MOP adjuvantation included amplified humoral and cellular immunity and increased immune durability for 1 year after vaccination in mice. An additional benefit included the restoration of immunity in aged mice to amounts comparable to those achieved in young adult animals, alongside amplification with a single immunization. Associated enhanced dendritic cell and germinal center responses were observed. Together, these data demonstrate that an LNP-encapsulated IL-12-MOP mRNA-encoded adjuvant can amplify immunogenicity independent of age, demonstrating translational potential to benefit vulnerable populations.
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Affiliation(s)
- Byron Brook
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Valerie Duval
- Combined Therapeutics Incorporated, Boston, MA 02135, USA
| | - Soumik Barman
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | | | - Cali Sweitzer
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
| | | | - Manisha Menon
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
| | | | - Pallab Ghosh
- Combined Therapeutics Incorporated, Boston, MA 02135, USA
| | - Kimia Abedi
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
| | - Jacob Koster
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
| | - Etsuro Nanishi
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Lindsey R Baden
- Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Ofer Levy
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Thomas VanCott
- Combined Therapeutics Incorporated, Boston, MA 02135, USA
| | - Romain Micol
- Combined Therapeutics Incorporated, Boston, MA 02135, USA
| | - David J Dowling
- Precision Vaccines Program, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
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47
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Jiang XL, Song XD, Shi C, Yang GJ, Wang XJ, Zhang YW, Wu J, Zhao LX, Zhang MZ, Wang MM, Chen RR, He XJ, Dai EH, Gao HX, Shen Y, Dong G, Wang YL, Ma MJ. Variant-specific antibody response following repeated SARS-CoV-2 vaccination and infection. Cell Rep 2024; 43:114387. [PMID: 38896777 DOI: 10.1016/j.celrep.2024.114387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 05/08/2024] [Accepted: 06/05/2024] [Indexed: 06/21/2024] Open
Abstract
The ongoing emergence of SARS-CoV-2 variants poses challenges to the immunity induced by infections and vaccination. We conduct a 6-month longitudinal evaluation of antibody binding and neutralization of sera from individuals with six different combinations of vaccination and infection against BA.5, XBB.1.5, EG.5.1, and BA.2.86. We find that most individuals produce spike-binding IgG or neutralizing antibodies against BA.5, XBB.1.5, EG.5.1, and BA.2.86 2 months after infection or vaccination. However, compared to ancestral strain and BA.5 variant, XBB.1.5, EG.5.1, and BA.2.86 exhibit comparable but significant immune evasion. The spike-binding IgG and neutralizing antibody titers decrease in individuals without additional antigen exposure, and <50% of individuals neutralize XBB.1.5, EG.5.1, and BA.2.86 during the 6-month follow-up. Approximately 57% of the 107 followed up individuals experienced an additional infection, leading to improved binding IgG and neutralizing antibody levels against these variants. These findings provide insights into the impact of SARS-CoV-2 variants on immunity following repeated exposure.
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Affiliation(s)
- Xiao-Lin Jiang
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Provincial Center for Disease Control and Prevention, Jinan 250014, China
| | - Xue-Dong Song
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China; Department of Laboratory Medicine, Handan Central Hospital, Hebei Medical University, Handan 056001, China; Hebei Key Laboratory of Immune Mechanism of Major Infectious Diseases and New Technology of Diagnosis and Treatment, The Fifth Hospital of Shijiazhuang, Shijiazhuang 050021, China
| | - Chao Shi
- Department of Infectious Disease Control and Prevention, Wuxi Center for Disease Control and Prevention, Wuxi 214023, China
| | - Guo-Jian Yang
- Department of Microbiological Laboratory Technology, School of Public Health, Cheeloo College of Medicine, Shandong University, Key Laboratory of Prevention and Control of Emerging Infectious Diseases and Biosafety in Universities of Shandong, Jinan 250012, China
| | - Xue-Jun Wang
- Bioinformatics Center of Academy of Military Medical Science, Beijing 100850, China
| | - Yu-Wei Zhang
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Provincial Center for Disease Control and Prevention, Jinan 250014, China
| | - Jie Wu
- Department of Infectious Disease Control and Prevention, Binzhou Center for Disease Control and Prevention, Binzhou 256613, China
| | - Lian-Xiang Zhao
- School of Public Health, Weifang Medical University, Weifang 261053, China
| | - Ming-Zhu Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Ming-Ming Wang
- Bioinformatics Center of Academy of Military Medical Science, Beijing 100850, China
| | - Rui-Rui Chen
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China; School of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Xue-Juan He
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China; School of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Er-Hei Dai
- Hebei Key Laboratory of Immune Mechanism of Major Infectious Diseases and New Technology of Diagnosis and Treatment, The Fifth Hospital of Shijiazhuang, Shijiazhuang 050021, China
| | - Hui-Xia Gao
- Hebei Key Laboratory of Immune Mechanism of Major Infectious Diseases and New Technology of Diagnosis and Treatment, The Fifth Hospital of Shijiazhuang, Shijiazhuang 050021, China
| | - Yuan Shen
- Department of Infectious Disease Control and Prevention, Wuxi Center for Disease Control and Prevention, Wuxi 214023, China.
| | - Gang Dong
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China.
| | - Yu-Ling Wang
- Hebei Key Laboratory of Immune Mechanism of Major Infectious Diseases and New Technology of Diagnosis and Treatment, The Fifth Hospital of Shijiazhuang, Shijiazhuang 050021, China.
| | - Mai-Juan Ma
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China; Department of Microbiological Laboratory Technology, School of Public Health, Cheeloo College of Medicine, Shandong University, Key Laboratory of Prevention and Control of Emerging Infectious Diseases and Biosafety in Universities of Shandong, Jinan 250012, China; School of Public Health, Zhengzhou University, Zhengzhou 450001, China.
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Ishihara Y, Naruse H, Fujigaki H, Murakami R, Ando T, Sakurai K, Uehara K, Shimomae K, Sakaguchi E, Hattori H, Sarai M, Ishii J, Fujii R, Ito H, Saito K, Izawa H. Humoral and Cellular Response Induced by Primary Series and Booster Doses of mRNA Coronavirus Disease 2019 Vaccine in Patients with Cardiovascular Disease: A Longitudinal Study. Vaccines (Basel) 2024; 12:786. [PMID: 39066424 PMCID: PMC11281625 DOI: 10.3390/vaccines12070786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Revised: 07/07/2024] [Accepted: 07/15/2024] [Indexed: 07/28/2024] Open
Abstract
Preexisting cardiovascular disease (CVD) is a pivotal risk factor for severe coronavirus disease 2019 (COVID-19). We investigated the longitudinal (over 1 year and 9 months) humoral and cellular responses to primary series and booster doses of mRNA COVID-19 vaccines in patients with CVD. Twenty-six patients with CVD who received monovalent mRNA COVID-19 vaccines were enrolled in this study. Peripheral blood samples were serially drawn nine times from each patient. IgG against the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike receptor-binding domain (RBD) was measured using an enzyme-linked immunosorbent assay. The numbers of interferon-γ-releasing cells in response to SARS-CoV-2 peptides were measured using an enzyme-linked immunospot assay. The RBD-IgG titers increased 2 weeks after the primary series and booster vaccination and waned 6 months after vaccination. The S1-specific T cell responses in patients aged < 75 years were favorable before and after booster doses; however, the Omicron BA.1-specific T cell responses were poor. These results suggest that regular vaccination is useful to maintain long-term antibody levels and has implications for booster dose strategies in patients with CVD. Additional booster doses, including Omicron variant-adapted mRNA vaccines, may be recommended for patients with CVD, regardless of age.
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Affiliation(s)
- Yuya Ishihara
- Department of Clinical Laboratory, Fujita Health University Hospital, Toyoake 470-1192, Japan;
| | - Hiroyuki Naruse
- Department of Clinical Pathophysiology, Fujita Health University Graduate School of Health Sciences, Toyoake 470-1192, Japan; (E.S.); (H.H.)
| | - Hidetsugu Fujigaki
- Department of Advanced Diagnostic System Development, Fujita Health University Graduate School of Health Sciences, Toyoake 470-1192, Japan; (H.F.); (K.S.)
| | - Reiko Murakami
- Institute for Glyco-Core Research, Gifu University, Yanagido, Gifu 501-1193, Japan;
| | - Tatsuya Ando
- Department of Joint Research Laboratory of Clinical Medicine, Fujita Health University School of Medicine, Toyoake 470-1192, Japan; (T.A.); (K.S.); (H.I.)
| | - Kouhei Sakurai
- Department of Joint Research Laboratory of Clinical Medicine, Fujita Health University School of Medicine, Toyoake 470-1192, Japan; (T.A.); (K.S.); (H.I.)
| | - Komei Uehara
- Department of Preventive Medical Sciences, Fujita Health University Graduate of Health Sciences, Toyoake 470-1192, Japan; (K.U.); (K.S.)
| | - Koki Shimomae
- Department of Preventive Medical Sciences, Fujita Health University Graduate of Health Sciences, Toyoake 470-1192, Japan; (K.U.); (K.S.)
| | - Eirin Sakaguchi
- Department of Clinical Pathophysiology, Fujita Health University Graduate School of Health Sciences, Toyoake 470-1192, Japan; (E.S.); (H.H.)
| | - Hidekazu Hattori
- Department of Clinical Pathophysiology, Fujita Health University Graduate School of Health Sciences, Toyoake 470-1192, Japan; (E.S.); (H.H.)
| | - Masayoshi Sarai
- Department of Cardiology, Fujita Health University School of Medicine, Toyoake 470-1192, Japan; (M.S.); (J.I.); (H.I.)
| | - Junnichi Ishii
- Department of Cardiology, Fujita Health University School of Medicine, Toyoake 470-1192, Japan; (M.S.); (J.I.); (H.I.)
| | - Ryosuke Fujii
- Department of Medical Sciences, Fujita Health University School of Medicine, Toyoake 470-1192, Japan;
| | - Hiroyasu Ito
- Department of Joint Research Laboratory of Clinical Medicine, Fujita Health University School of Medicine, Toyoake 470-1192, Japan; (T.A.); (K.S.); (H.I.)
| | - Kuniaki Saito
- Department of Advanced Diagnostic System Development, Fujita Health University Graduate School of Health Sciences, Toyoake 470-1192, Japan; (H.F.); (K.S.)
| | - Hideo Izawa
- Department of Cardiology, Fujita Health University School of Medicine, Toyoake 470-1192, Japan; (M.S.); (J.I.); (H.I.)
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49
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Hodgson D, Liu Y, Carolan L, Mahanty S, Subbarao K, Sullivan SG, Fox A, Kucharski A. Memory B cell proliferation drives differences in neutralising responses between ChAdOx1 and BNT162b2 SARS-CoV-2 vaccines. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.11.24310221. [PMID: 39040163 PMCID: PMC11261961 DOI: 10.1101/2024.07.11.24310221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/24/2024]
Abstract
Vaccination against COVID-19 has been pivotal in reducing the global burden of the disease. However, Phase III trial results and observational studies underscore differences in efficacy across vaccine technologies and dosing regimens. Notably, mRNA vaccines have exhibited superior effectiveness compared to Adenovirus (AdV) vaccines, especially with extended dosing intervals. Using in-host mechanistic modelling, this study elucidates these variations and unravels the biological mechanisms shaping the immune responses at the cellular level. We used data on the change in memory B cells, plasmablasts, and antibody titres after the second dose of a COVID-19 vaccine for Australian healthcare workers. Alongside this dataset, we constructed a kinetic model of humoral immunity which jointly captured the dynamics of multiple immune markers, and integrated hierarchical effects into this kinetics model, including age, dosing schedule, and vaccine type. Our analysis estimated that mRNA vaccines induced 2.1 times higher memory B cell proliferation than AdV vaccines after adjusting for age, interval between doses and priming dose. Additionally, extending the duration between the second vaccine dose and priming dose beyond 28 days boosted neutralising antibody production per plasmablast concentration by 30%. We also found that antibody responses after the second dose were more persistent when mRNA vaccines were used over AdV vaccines and for longer dosing regimens. Reconstructing in-host kinetics in response to vaccination could help optimise vaccine dosing regimens, improve vaccine efficacy in different population groups, and inform the design of future vaccines for enhanced protection against emerging pathogens.
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Affiliation(s)
- David Hodgson
- Centre of Mathematical Modelling of Infectious Diseases, London School and Hygiene and Tropical Medicine, London, UK
| | - Yi Liu
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Louise Carolan
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Siddhartha Mahanty
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Kanta Subbarao
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Sheena G. Sullivan
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- School of Clinical Sciences, Monash University, Melbourne, Australia
| | - Annette Fox
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Adam Kucharski
- Centre of Mathematical Modelling of Infectious Diseases, London School and Hygiene and Tropical Medicine, London, UK
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Carretero D, Giménez E, Albert E, Colomer E, Torres I, Olea B, Sánchez-Simarro Á, Navarro D. SARS-CoV-2-Spike T-cell response after receiving one or two Wuhan-Hu-1-based mRNA COVID-19 vaccine booster doses in elderly nursing home residents. J Med Virol 2024; 96:e29790. [PMID: 38994662 DOI: 10.1002/jmv.29790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 06/05/2024] [Accepted: 07/02/2024] [Indexed: 07/13/2024]
Abstract
The effect of COVID-19 booster vaccination on SARS-CoV-2 T-cell mediated immune responses in elderly nursing home residents has not been explored in depth. Thirty-nine elderly nursing home residents (median age, 91 years) were included, all fully vaccinated with mRNA vaccines. The frequency of and the integrated mean fluorescence (iMFI) for peripheral blood SARS-CoV-2-Spike reactive IFN-γ-producing CD4+ or CD8+ T cells before and after the first (Pre-3D and Post-3D) and second (Pre-4D and Post-4D) vaccine booster doses was determined using flow cytometry for an intracellular staining method. 3D increased significantly (p = 0.01) the percentage of participants displaying detectable SARS-CoV-2-T-cell responses compared with pre-3D (97% vs. 74%). The magnitude of the increase was statistically significant for CD8+ T cells (p = 0.007) but not for CD4+ T cells (p = 0.77). A trend towards higher frequencies of peripheral blood SARS-CoV-2-CD8+ T cells was observed post-3D compared with pre-3D (p = 0.06). The percentage of participants with detectable SARS-S-CoV-2 CD4+ T-cell responses decreased post-4D (p = 0.035). Following 4D, a nonsignificant decrease in the frequencies of both T cell subsets was noticed (p = 0.94 for CD8+ T cells and p = 0.06 for CD4+ T cells). iMFI data mirrored that of T-cell frequencies. The kinetics of SARS-CoV-2 CD8+ and CD4+ T cells following receipt of 3D and 4D were comparable across SARS-CoV-2-experienced and -naïve participants and between individuals receiving a homologous or heterologous vaccine booster. 3D increased the percentage of elderly nursing home residents displaying detectable SARS-CoV-2 T-cell responses but had a marginal effect on T-cell frequencies. The impact of 4D on SARS-CoV-2 T-cell responses was negligible; whether this was due to suboptimal priming or rapid waning could not be ascertained.
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Affiliation(s)
- Diego Carretero
- Microbiology Service, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - Estela Giménez
- Microbiology Service, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
- CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain
| | - Eliseo Albert
- Microbiology Service, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - Ester Colomer
- Microbiology Service, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - Ignacio Torres
- Microbiology Service, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - Beatriz Olea
- Microbiology Service, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - Ángela Sánchez-Simarro
- Microbiology Service, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - David Navarro
- Microbiology Service, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
- CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain
- Department of Microbiology, School of Medicine, University of Valencia, Valencia, Spain
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