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Molnár R, Bódy BR, Varga B, Tóth R, Kói T, Gergő D, Garami M, Müller KE, Hegyi P, Ocskay K, Párniczky A. Pancreatic islet autoantibodies and their association with glycemic status in cystic fibrosis patients: A comprehensive meta-analysis. J Cyst Fibros 2025:S1569-1993(25)01466-3. [PMID: 40393876 DOI: 10.1016/j.jcf.2025.04.011] [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: 10/31/2024] [Revised: 03/18/2025] [Accepted: 04/28/2025] [Indexed: 05/22/2025]
Abstract
BACKGROUND The role of autoimmune beta-cell damage in cystic fibrosis-related glucose abnormalities remains unclear. This study evaluates the prevalence of pancreatic islet autoantibodies (AABs) by glycemic status and age, and assesses the risk of developing cystic fibrosis-related diabetes (CFRD) in people with cystic fibrosis (pwCF). METHODS A random-effects meta-analysis examined AABs against glutamic acid decarboxylase (GADA), insulin (IAA), islet cell (ICA), islet antigen-2 (IA-2A) and zinc transporter 8 (ZnT8A) in pwCF (CRD42023482663). Prevalence, odds ratios (OR), and 95 % confidence intervals (CI) were calculated with subgroup analyses by glycemic status and age. RESULTS Analysis of 20 studies (2229 pwCF) found an overall islet AAB positivity rate of 4 % (CI: 2-9 %) and multiple positivity at 1 % (CI: 0-11 %). IAA had the highest prevalence at 6 % (CI: 3-14 %), and ICA the lowest at 1 % (CI: 0-9 %). Islet AAB prevalence trended higher in CFRD than non-CFRD patients and in children than adults. CFRD was significantly associated with islet AAB positivity, notably for GADA (OR 4.63, CI: 3.42-6.28), ICA (OR 3.57, CI: 1.05-12.18), and IA-2A (OR 2.36, CI: 1.29-4.34). Any and multiple AAB positivity were similarly correlated to CFRD (OR 2.82, CI: 1.22-6.51 and OR 2.71, CI: 1.49-4.93). CONCLUSIONS Pancreatic islet AABs are present in 1-6 % of pwCF and increase the risk of CFRD by 2.36 to 4.63 times. While there's a suggested link, limited study quality and inconsistent testing warrant cautious interpretation. Further robust studies are needed to confirm these findings and improve screening strategies.
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Affiliation(s)
- Regina Molnár
- Heim Pál National Pediatric Institute, Budapest, Hungary; Centre for Translational Medicine, Semmelweis University, Budapest, Hungary
| | - Blanka Rebeka Bódy
- Heim Pál National Pediatric Institute, Budapest, Hungary; Centre for Translational Medicine, Semmelweis University, Budapest, Hungary
| | - Boróka Varga
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Réka Tóth
- Centre for Translational Medicine, Semmelweis University, Budapest, Hungary
| | - Tamás Kói
- Centre for Translational Medicine, Semmelweis University, Budapest, Hungary
| | - Dorottya Gergő
- Centre for Translational Medicine, Semmelweis University, Budapest, Hungary; Department of Pharmacognosy, Semmelweis University, Budapest, Hungary
| | - Miklós Garami
- Centre for Translational Medicine, Semmelweis University, Budapest, Hungary; Pediatric Center, Semmelweis University, Budapest, Hungary
| | - Katalin Eszter Müller
- Heim Pál National Pediatric Institute, Budapest, Hungary; Centre for Translational Medicine, Semmelweis University, Budapest, Hungary; Department of Family Care Methodology, Faculty of Health Sciences, Semmelweis University, Budapest, Hungary
| | - Péter Hegyi
- Centre for Translational Medicine, Semmelweis University, Budapest, Hungary; Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary; Institute for Pancreatic Diseases, Semmelweis University, Budapest, Hungary
| | - Klementina Ocskay
- Heim Pál National Pediatric Institute, Budapest, Hungary; Centre for Translational Medicine, Semmelweis University, Budapest, Hungary
| | - Andrea Párniczky
- Heim Pál National Pediatric Institute, Budapest, Hungary; Centre for Translational Medicine, Semmelweis University, Budapest, Hungary; Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.
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2
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Oladimeji OI, Ohene-Agyei P, Liu Q, Lin L, Gamble G, Crowther CA, Harding JE. In Utero Exposure to Gestational Diabetes and Child Health at Age Three to Seven: A Cohort Study. J Pediatr 2025; 284:114639. [PMID: 40368241 DOI: 10.1016/j.jpeds.2025.114639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2024] [Revised: 03/14/2025] [Accepted: 05/06/2025] [Indexed: 05/16/2025]
Abstract
OBJECTIVE To determine if, after adjusting for potential confounders, child health outcomes differ between children exposed to maternal gestational diabetes mellitus (GDM) and their unexposed peers. STUDY DESIGN Prospective cohort study. Recruitment took place between June 2022 and May 2024. The primary outcome was overweight or obesity. The secondary outcomes were other measures of size, eating behavior, behavioral and emotional problems, neurodevelopmental disorders, atopic disorders, and diabetes. Between-group differences were determined with generalized linear mixed models adjusted for gestational weight gain and socioeconomic status. RESULTS Of the 699 children who participated at a mean age of 5.6 years, 295 (42.2%) were exposed to GDM. There was no difference in the risk of being overweight or obese in children exposed to GDM compared with those unexposed (adjusted relative risk [95% CI]: 0.69 [0.44, 1.08]). Children exposed to GDM had lower body mass index z scores (adjusted relative risk [95% CI]: -0.30 [-0.53, -0.60]), enjoyment of food scores (adjusted relative risk [95% CI]: -0.17 [-0.31, -.04]), and risk of abnormal hyperactivity scores (adjusted relative risk [95% CI]: 0.23 [0.06, 0.87])] Other outcomes were similar between exposure groups. CONCLUSIONS After accounting for confounders, children exposed to treated GDM had a risk of being overweight or obese comparable with their unexposed peers. Our findings are reassuring for parents and health practitioners caring for women who experience GDM and their children.
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Affiliation(s)
| | | | - Qiliang Liu
- Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Luling Lin
- Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Greg Gamble
- Liggins Institute, The University of Auckland, Auckland, New Zealand
| | | | - Jane E Harding
- Liggins Institute, The University of Auckland, Auckland, New Zealand.
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Wang P, Zhang Y, Giovannucci EL. Dietary context in the association between red meat consumption and risk of type 2 diabetes. Metabolism 2025; 169:156277. [PMID: 40320163 DOI: 10.1016/j.metabol.2025.156277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2024] [Revised: 04/19/2025] [Accepted: 04/29/2025] [Indexed: 05/10/2025]
Abstract
BACKGROUND It has been suggested that dietary factors correlated with red meat may contribute to its adverse health effects, while consuming red meat within a healthy diet may not necessarily increase disease risk. METHODS Among 204,740 participants from three prospective cohorts, we examined the association between red meat consumption and risk of type 2 diabetes (T2D) across different levels of diet quality, measured by Alternative Healthy Eating Index (AHEI)-2010 (excluding red and processed meat component), using multivariable-adjusted Cox proportional hazards models. Dietary intake was assessed using repeated food frequency questionnaires. RESULTS During a median follow-up of 28 years, 18,868 cases were documented. Mean values were 47.3 (SD 8.5) for AHEI-2010 and 6.5 (SD 3.5), 1.8 (SD 1.5), and 4.8 (SD 2.5) servings/week for total, processed, and unprocessed red meat, respectively. Greater red meat consumption was consistently associated with a higher T2D risk across AHEI-2010 strata. Comparing the highest with the lowest quintile of red meat consumption in the highest diet quality quintile, the multivariable-adjusted HRs were 1.95 (1.72, 2.21) for total, 1.88 (1.67, 2.13) for processed, and 1.67 (1.47, 1.90) for unprocessed red meat. Substituting red meat with major food groups was associated with a lower T2D risk, particularly among those with high diet quality. The benefit of lowering red meat consumption was greater in participants with higher diet quality. CONCLUSIONS The risk associated with high red meat consumption persisted even among participants with a relatively high diet quality, underscoring the importance of limiting red meat consumption to prevent T2D.
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Affiliation(s)
- Peilu Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China.
| | - Yiwen Zhang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Edward L Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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4
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Colagiuri S, Ceriello A. 1. Detection of diabetes and intermediate hyperglycaemia, and prevention of type 2 diabetes. Diabetes Res Clin Pract 2025:112145. [PMID: 40209902 DOI: 10.1016/j.diabres.2025.112145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/12/2025]
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5
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Massalha M, Iskander R, Hassan H, Spiegel E, Erez O, Nachum Z. Gestational diabetes mellitus - more than the eye can see - a warning sign for future maternal health with transgenerational impact. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2025; 6:1527076. [PMID: 40235646 PMCID: PMC11997571 DOI: 10.3389/fcdhc.2025.1527076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/12/2024] [Accepted: 02/06/2025] [Indexed: 04/17/2025]
Abstract
Gestational diabetes mellitus (GDM) is regarded by many as maternal maladaptation to physiological insulin resistance during the second half of pregnancy. However, recent evidence indicates that alterations in carbohydrate metabolism can already be detected in early pregnancy. This observation, the increasing prevalence of GDM, and the significant short and long-term implications for the mother and offspring call for reevaluation of the conceptual paradigm of GDM as a syndrome. This review will present evidence for the syndromic nature of GDM and the controversies regarding screening, diagnosis, management, and treatment.
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Affiliation(s)
- Manal Massalha
- Department of Obstetrics and Gynecology, Emek Medical Center, Afula, Israel
- Rappaport Faculty of Medicine, Technion, Institute of technology, Haifa, Israel
| | - Rula Iskander
- Department of Obstetrics and Gynecology, Emek Medical Center, Afula, Israel
| | - Haya Hassan
- Department of Obstetrics and Gynecology, Emek Medical Center, Afula, Israel
| | - Etty Spiegel
- Department of Obstetrics and Gynecology, Emek Medical Center, Afula, Israel
| | - Offer Erez
- Department of Obstetrics and Gynecology, Soroka University Medical Center, Beer Sheva, Israel
- Faculty of Medicine, Ben Gurion University of the Negev, Beer Sheva, Israel
- Department of Obstetrics and Gynecology, Hutzel Women’s Hospital, Wayne State University, Detroit, MI, United States
| | - Zohar Nachum
- Department of Obstetrics and Gynecology, Emek Medical Center, Afula, Israel
- Rappaport Faculty of Medicine, Technion, Institute of technology, Haifa, Israel
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Juksar J, Mijdam R, Bosman S, van Oudenaarden A, Carlotti F, de Koning EJP. Effects of Neurogenin 3 Induction on Endocrine Differentiation and Delamination in Adult Human Pancreatic Ductal Organoids. Transpl Int 2025; 38:13422. [PMID: 40236756 PMCID: PMC11996654 DOI: 10.3389/ti.2025.13422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Accepted: 03/13/2025] [Indexed: 04/17/2025]
Abstract
Diabetes mellitus is characterized by the loss of pancreatic insulin-secreting β-cells in the Islets of Langerhans. Understanding the regenerative potential of human islet cells is relevant in the context of putative restoration of islet function after damage and novel islet cell replacement therapies. Adult human pancreatic tissue can be cultured as three-dimensional organoids with the capacity for long-term expansion and the promise of endocrine cell formation. Here, we characterize the endocrine differentiation potential of human adult pancreatic organoids. Because exocrine-to-endocrine differentiation is dependent on the expression of Neurogenin 3 (NEUROG3), we first generated NEUROG3-inducible organoid lines. We show that doxycycline-induced NEUROG3 expression in the organoids leads to the formation of chromogranin A positive (CHGA+) endocrine progenitor cells. The efficiency of this differentiation was improved with the addition of thyroid hormone T3 and the AXL inhibitor R428. Further, compound screening demonstrated that modifying the pivotal embryonic endocrine pancreas signalling pathways driven by Notch, YAP, and EGFR led to increased NEUROG3 expression in organoids. In a similar fashion to embryonic development, adult ductal cells delaminated from the organoids after NEUROG3 induction. Thus, mechanisms in islet (re)generation including the initiation of endocrine differentiation and delamination can be achieved by NEUROG3 induction.
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Affiliation(s)
- Juri Juksar
- Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences), Utrecht, Netherlands
- Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands
| | - Rachel Mijdam
- Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences), Utrecht, Netherlands
| | - Sabine Bosman
- Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences), Utrecht, Netherlands
| | | | - Françoise Carlotti
- Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands
| | - Eelco J. P. de Koning
- Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences), Utrecht, Netherlands
- Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands
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7
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Chen Z, Qian F, Liu B, Zong G, Li Y, Hu FB, Sun Q. Monounsaturated fatty acids from plant or animal sources and risk of type 2 diabetes in three large prospective cohorts of men and women. Diabetologia 2025; 68:801-814. [PMID: 39808307 DOI: 10.1007/s00125-024-06353-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2024] [Accepted: 12/02/2024] [Indexed: 01/16/2025]
Abstract
AIMS/HYPOTHESIS Existing evidence on the relationship between intake of monounsaturated fatty acids (MUFAs) and type 2 diabetes is conflicting. Few studies have examined whether MUFAs from plant or animal sources (MUFA-Ps and MUFA-As, respectively) exhibit differential associations with type 2 diabetes. We examined associations of intakes of total MUFAs, MUFA-Ps and MUFA-As with type 2 diabetes risk. METHODS We used data from 51,290 women in the Nurses' Health Study (1990-2016), 61,703 women in the Nurses' Health Study II (1991-2017) and 29,497 men in the Health Professionals Follow-up Study (1990-2016). Using food frequency questionnaires and food composition tables, we calculated MUFA-P and MUFA-A intakes every 4 years and modelled their associations with type 2 diabetes using Cox regression models. RESULTS During 3,268,512 person-years of follow-up, we documented 13,211 incident type 2 diabetes cases. After multivariate adjustment, total MUFA intake was associated with higher type 2 diabetes risk, with HR for Q5 vs Q1 of 1.10 (95% CI 1.01, 1.22). MUFA-Ps and MUFA-As demonstrated divergent associations, with HRs of 0.87 (95% CI 0.81, 0.94) and 1.34 (1.23, 1.45), respectively. In substitution analyses, HRs were 0.92 (95% CI 0.86, 0.99) for replacing 2% of energy from trans fatty acids or 0.72 (0.66, 0.78) and 0.82 (0.77, 0.88) for replacing 5% from MUFA-As and 5% from the sum of saturated fatty acids and MUFA-As with MUFA-Ps, respectively. Substituting MUFA-As for saturated fatty acids and refined carbohydrates was associated with a 43% and 33% higher risk, respectively. CONCLUSIONS/INTERPRETATION Higher intake of MUFA-Ps was associated with lower type 2 diabetes risk, whereas increased intake of MUFA-As was associated with higher risk. Replacing saturated fatty acids, trans fatty acids and MUFA-As with MUFA-Ps may be beneficial for type 2 diabetes prevention.
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Affiliation(s)
- Zhangling Chen
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Frank Qian
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Section of Cardiovascular Medicine, Boston Medical Center and Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Binkai Liu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Geng Zong
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai, China
| | - Yanping Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Joslin Diabetes Center, Boston, MA, USA.
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Klid S, Algaba-Chueca F, Maymó-Masip E, Ballesteros M, Inglés M, Guarque A, Vilanova-Ricart N, Prats A, Kulovic-Sissawo A, Weiss E, Hiden U, Vendrell J, Fernández-Veledo S, Megía A. Impaired angiogenesis in gestational diabetes is linked to succinate/SUCNR1 axis dysregulation in late gestation. J Physiol 2025. [PMID: 40163642 DOI: 10.1113/jp288010] [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: 10/31/2024] [Accepted: 03/05/2025] [Indexed: 04/02/2025] Open
Abstract
Recent research has highlighted the significance of succinate and its receptor in gestational diabetes (GDM) pathogenesis. However, a clear interconnection between placenta metabolism, succinate levels, SUCNR1 signalling and pregnancy pathologies remains elusive. Here, we set out to investigate the potential role of succinate on labour and placental mechanisms by combining clinical and functional experimental data at the same time as exploring the specific SUCNR1-mediated effects of succinate on placenta vascularization, addressing its specific agonist actions. According to our data, succinate levels vary throughout pregnancy and postpartum, with a natural increase during the peripartum period. We also show that SUCNR1 activation in the umbilical cord endothelium promotes angiogenesis under normal conditions. However, in GDM, excessive succinate and impaired SUCNR1 function may weaken this angiogenic response. In conclusion, the present study underlines succinate as an emerging signalling molecule in the placenta, regulating labour and placental processes. The reduced sensitivity of the succinate/SUCNR1 pathway in the GDM environment may serve as a protective physiological mechanism or could have a pathogenic effect. KEY POINTS: Succinate levels increase at delivery in maternal and fetal circulation. Gestational diabetes (GDM) induces succinate accumulation and SUCNR1 downregulation in umbilical cords. GDM compromises angiogenic gene profile modulation by SUCNR1 in umbilical cord endothelium. SUCNR1 activation stimulates sprouting and tube-forming capacity of human umbilical vein endothelial cells from healthy, but not GDM pregnancies.
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Affiliation(s)
- Sergiy Klid
- Department of Medicine and Surgery, Rovira i Virgili University, Tarragona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Francisco Algaba-Chueca
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Research Unit, University Hospital of Tarragona Joan XXIII-Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - Elsa Maymó-Masip
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Research Unit, University Hospital of Tarragona Joan XXIII-Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - Mónica Ballesteros
- Department of Medicine and Surgery, Rovira i Virgili University, Tarragona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Obstetrics and Gynecology, University Hospital of Tarragona Joan XXIII. Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - Montse Inglés
- Department of Medicine and Surgery, Rovira i Virgili University, Tarragona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Obstetrics and Gynecology, University Hospital of Tarragona Joan XXIII. Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - Albert Guarque
- Department of Medicine and Surgery, Rovira i Virgili University, Tarragona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Obstetrics and Gynecology, University Hospital of Tarragona Joan XXIII. Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - Nerea Vilanova-Ricart
- Department of Medicine and Surgery, Rovira i Virgili University, Tarragona, Spain
- Department of Endocrinology and Nutrition, Research Unit, University Hospital of Tarragona Joan XXIII-Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - Ariadna Prats
- Department of Endocrinology and Nutrition, Research Unit, University Hospital of Tarragona Joan XXIII-Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - Azra Kulovic-Sissawo
- Department of Obstetrics and Gynecology, Medical University of Graz, Graz, Austria
| | - Elisa Weiss
- Department of Obstetrics and Gynecology, Medical University of Graz, Graz, Austria
| | - Ursula Hiden
- Department of Obstetrics and Gynecology, Medical University of Graz, Graz, Austria
| | - Joan Vendrell
- Department of Medicine and Surgery, Rovira i Virgili University, Tarragona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Research Unit, University Hospital of Tarragona Joan XXIII-Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - Sonia Fernández-Veledo
- Department of Medicine and Surgery, Rovira i Virgili University, Tarragona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Research Unit, University Hospital of Tarragona Joan XXIII-Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - Ana Megía
- Department of Medicine and Surgery, Rovira i Virgili University, Tarragona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Research Unit, University Hospital of Tarragona Joan XXIII-Institut d'Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
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Miserachs M, Martinez-Bueno C, Castro A, Pallarés-Carratalá V, Pijuan-Domenech A, Gordon B, Farràs A, Del Barco E, Higueras T, Carreras E, Goya M. Adverse Pregnancy Outcomes and Cardiovascular Disease: A Spanish Cohort. Healthcare (Basel) 2025; 13:728. [PMID: 40218026 PMCID: PMC11989046 DOI: 10.3390/healthcare13070728] [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: 02/24/2025] [Revised: 03/14/2025] [Accepted: 03/15/2025] [Indexed: 04/14/2025] Open
Abstract
Background and Aims: Emerging evidence suggests adverse pregnancy outcomes (APOs) may increase future cardiovascular risk. This study aimed to assess in a Spanish cohort the long-term risk of cardiovascular disease in women with APOs compared to those without such complications. Methods: A retrospective longitudinal cohort study was conducted at Hospital Vall d'Hebron (Barcelona, Spain), including pregnant women delivering between January 2010 and December 2015. Women with pre-existing medical conditions were excluded. APOs included preeclampsia, gestational diabetes, preterm birth, late miscarriage, and stillbirth. Cardiovascular events were defined as acute myocardial infarction or stroke. Both APO and non-APO groups were compared for their risk of cardiovascular events in the years following delivery, using unadjusted and adjusted models. Results: Out of 12,071 pregnant women delivered at Hospital Vall d'Hebron during the study period. 10,734 met the inclusion criteria (8234 in the non-APO group and 2500 in the APO group). The adjusted model revealed a significant association between APOs and cardiovascular events post-delivery (HR 2.5; 95% CI 1.4-4.4). Furthermore, an increased number of APOs (≥2) correlated with a higher risk of post-delivery cardiovascular events (HR 8.6; 95% CI 2.8-26.8). Conclusions: Women with adverse pregnancy outcomes (APOs), particularly those experiencing preeclampsia, preterm birth, and late miscarriage, exhibit an elevated long-term risk of cardiovascular events. Our findings highlight that these associations persist even after adjusting for traditional cardiovascular risk factors, indicating that APOs may independently influence long-term cardiovascular health. This underscores the importance of recognizing pregnancy as a critical window for early cardiovascular health interventions and counseling. Addressing these risks proactively could improve long-term health outcomes for women with a history of APOs.
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Affiliation(s)
- Marta Miserachs
- Maternal-Foetal Medicine Unit, Department of Obstetrics, Vall d’Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
| | - Cristina Martinez-Bueno
- Sexual and Reproductive Health Services, Catalan Institute of Health, Barcelona University (UB), Gran Via de les Corts Catalanes, 587, 08007 Barcelona, Spain
| | - Almudena Castro
- Department of Cardiology, Hospital Universitario La Paz, 28046 Madrid, Spain
| | - Vicente Pallarés-Carratalá
- Health Surveillance Unit, Mutual Insurance Union, 12004 Castellon, Spain
- Department of Medicine, Jaume I University, 12006 Castellon, Spain
| | - Antonia Pijuan-Domenech
- Integrated Hospital Vall d’Hebron-Hospital Sant Pau Adult Congenital Heart Disease Unit, Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- Department of Cardiology, Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, CIBER-CV, 08035 Barcelona, Spain
| | - Blanca Gordon
- Integrated Hospital Vall d’Hebron-Hospital Sant Pau Adult Congenital Heart Disease Unit, Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- Department of Cardiology, Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, CIBER-CV, 08035 Barcelona, Spain
| | - Alba Farràs
- Maternal-Foetal Medicine Unit, Department of Obstetrics, Vall d’Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
| | - Ester Del Barco
- Maternal-Foetal Medicine Unit, Department of Obstetrics, Vall d’Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
| | - Teresa Higueras
- Maternal-Foetal Medicine Unit, Department of Obstetrics, Vall d’Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- Obstetrics and Gynecology Department, Universitat Autònoma de Barcelona, Plaça Cívica, 08193 Bellaterra, Spain
| | - Elena Carreras
- Maternal-Foetal Medicine Unit, Department of Obstetrics, Vall d’Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- Obstetrics and Gynecology Department, Universitat Autònoma de Barcelona, Plaça Cívica, 08193 Bellaterra, Spain
| | - Maria Goya
- Maternal-Foetal Medicine Unit, Department of Obstetrics, Vall d’Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- Obstetrics and Gynecology Department, Universitat Autònoma de Barcelona, Plaça Cívica, 08193 Bellaterra, Spain
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10
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Henn M, Glenn AJ, Willett WC, Martínez-González MA, Sun Q, Hu FB. Coffee Consumption, Additive Use, and Risk of Type 2 Diabetes-Results from 3 Large Prospective United States Cohort Studies. Am J Clin Nutr 2025; 121:695-702. [PMID: 39828230 DOI: 10.1016/j.ajcnut.2025.01.017] [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: 09/06/2024] [Revised: 01/01/2025] [Accepted: 01/13/2025] [Indexed: 01/22/2025] Open
Abstract
BACKGROUND Consumption of coffee has been consistently associated with lower risk of type 2 diabetes (T2D). However, it is unknown whether the use of additives may modify the association. OBJECTIVES This study aimed to analyze the association between coffee consumption and risk of T2D by considering the addition of sugar, artificial sweeteners, cream, or a nondairy coffee whitener. METHODS We used 3 large prospective cohorts-Nurses' Health Study (NHS; 1986-2020), NHS II (1991-2020), and the Health Professionals Follow-up Study (HPFS 1991-2020). Self-reported coffee consumption, additive use, and T2D incidence were confirmed using validated questionnaires. Time-dependent Cox proportional hazards regression models were used to calculate hazard ratios (HRs) with multivariable adjustment. RESULTS During 3,665,408 person-years of follow-up, we documented 13,281 incident T2D cases. After multivariable adjustment, each additional cup of coffee without any additive was associated with 10% lower risk of T2D (HR: 0.90; 95% CI: 0.89, 0.92) in the pooled analysis of the 3 cohorts. The inverse association did not change among participants who added cream. Among participants who added sugar to coffee (on average 1 teaspoon per cup), the association was significantly weakened (HR: 0.95; 95% CI: 0.93, 0.97; interaction term HR: 1.17; 95% CI: 1.07, 1.27). A similar pattern was observed among those who used artificial sweeteners (HR: 0.93; 95% CI: 0.90, 0.96; interaction term HR: 1.13; 95% CI: 1.00, 1.28). The association between coffee consumption and T2D risk among those who used coffee whitener was also attenuated, although the interaction was not significant (HR: 0.95; 95% CI: 0.91, 1.00; interaction term HR: 1.16; 95% CI: 0.66, 2.06). CONCLUSIONS Adding sugar or artificial sweetener significantly attenuates the magnitude of the inverse association between higher coffee consumption and T2D risk, whereas the use of cream do not alter the inverse association.
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Affiliation(s)
- Matthias Henn
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Preventive Medicine and Public Health, University of Navarra-IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Pamplona, Spain
| | - Andrea J Glenn
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Walter C Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Miguel A Martínez-González
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Preventive Medicine and Public Health, University of Navarra-IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Pamplona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.
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11
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Zhao T, Dong Y, Chen K, Lyu H. A dual-mode biosensor based on metal organic framework-coated upconversion composites with near-infrared luminescence and peroxidase-like activity for the detection of alkaline phosphatase and glucose. Talanta 2025; 284:127252. [PMID: 39579490 DOI: 10.1016/j.talanta.2024.127252] [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: 07/17/2024] [Revised: 11/12/2024] [Accepted: 11/19/2024] [Indexed: 11/25/2024]
Abstract
An abnormal level of alkaline phosphatase (ALP) in serum is related to many diseases, such as breast cancer, prostate cancer, hepatitis, and diabetes. The level of glucose in the blood is related to diabetes or hypoglycemia. Given the close correlation between ALP and glucose in various diseases, it is essential to establish an accurate, sensitive, and selective assay for monitoring the levels of ALP and glucose in serum. As luminescent materials, upconversion nanoparticles (UCNPs) stand out in the design of biosensors because of their high photostability, large anti-Stokes shifts and low background interference. Additionally, metal organic frameworks (MOFs) are a class of functional porous materials, and their adjustable pore size structure and high specific surface area expose many catalytic sites, making MOFs excellent catalysts and ideal materials for constructing artificial enzymes. Herein, a fluorescent and colorimetric dual-mode probe based on a multifunctional composite (UCNP@MOF) with upconversion luminescence and peroxidase-like activity was proposed for the detection of ALP and glucose. Under the optimal conditions, the detection limits of ALP and glucose by the fluorescence method were 0.046 U/L and 0.079 μM, respectively. Furthermore, the method was used to determine ALP and glucose in serum samples, and the detection results were similar to those of commercial kits; moreover, the recoveries were in the range of 92.7-105.4 %, indicating great potential for accurate and sensitive detection of ALP and glucose in biological samples.
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Affiliation(s)
- Tianlu Zhao
- College of Materials Science and Engineering, Fuzhou University, Fuzhou, 350108, China
| | - Yi Dong
- Cardiac Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Kaixuan Chen
- College of Materials Science and Engineering, Fuzhou University, Fuzhou, 350108, China
| | - Haixia Lyu
- College of Materials Science and Engineering, Fuzhou University, Fuzhou, 350108, China.
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12
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Casellas A, Martínez C, Amigó J, Ferrer R, Martí L, Merced C, Medina MC, Molinero I, Calveiro M, Maroto A, del Barco E, Carreras E, Goya M. Evaluation of an Alternative Screening Method for Gestational Diabetes Diagnosis During the COVID-19 Pandemic (DIABECOVID STUDY): An Observational Cohort Study. Diagnostics (Basel) 2025; 15:189. [PMID: 39857074 PMCID: PMC11763759 DOI: 10.3390/diagnostics15020189] [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: 10/19/2024] [Revised: 12/26/2024] [Accepted: 12/26/2024] [Indexed: 01/27/2025] Open
Abstract
Background: To evaluate the impact of applying alternative diagnostic criteria for gestational diabetes mellitus (GDM) during the COVID-19 pandemic on GDM prevalence, obstetrical and perinatal outcomes, and costs, as compared to the standard diagnostic method. Methods: A cohort of pregnant individuals undergoing GMD screening with the alternative GDM method, which uses plasma glucose (fasting or non-fasting) and HbA1c, was compared with a cohort of pregnant individuals undergoing the standard GDM screening method. Both cohorts were obtained from six hospitals across Catalonia, Spain, from April 2020 to April 2022. The primary outcome was large for gestational age rate at birth. The secondary outcomes were composite adverse outcomes, including pregnancy complications, delivery complications, and neonatal complications. The cost differences between screening methods were also evaluated. A similar analysis was performed in the subgroup diagnosed with GDM. Results: Data were collected from 1543 pregnant individuals in the standard screening group and 2197 in the alternative screening group. The standard screening group had a higher GDM diagnostic rate than the alternative screening group (10.8% vs. 6.9%, respectively; p < 0.0001). The primary outcome (large for gestational age rate) was similar between groups: 200/1543 (13.0%) vs. 303/2197 (13.8%). The adjusted OR for this outcome was 1.74 (95% CI: 0.74-4.10). An adjusted analysis showed no differences between groups in the composite adverse outcomes for pregnancy complications (OR: 1.11; 95% CI: 0.91-1.36), delivery complications (OR: 0.95; 95% CI: 0.75-1.19), and neonatal complications (OR: 1.28; 95% CI: 0.94-1.75). Among individuals diagnosed with GDM, the large for gestational age rate was similar between groups: 13/166 (7.8%) vs. 15/151 (9.9%). The OR adjusted for this outcome was 1.24 (95% CI: 0.51-3.09). An adjusted analysis showed no differences in the composite adverse outcomes for pregnancy complications (OR: 1.57; 95% CI: 0.84-2.98), delivery complications (OR: 1.21; 95% CI: 0.63-2.35), and neonatal complications (OR: 1.35; 95% CI: 0.61-3.04). The mean cost (which included expenses for consumables, equipment, and personnel) of the alternative screening method was 46.0 euros (22.3 SD), as compared to 85.6 euros (67.5 SD) for the standard screening method. Conclusions: In this Spanish population during the COVID-19 pandemic, GDM prevalence was lower in the alternative screening group than in the standard screening group. After adjusting for GDM risk factors, outcomes related to obstetrics, delivery, and neonatal complications were comparable between both groups. Finally, the alternative screening method was cheaper than the standard screening method.
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Affiliation(s)
- Alba Casellas
- Maternal-Foetal Medicine Unit, Department of Obstetrics and Gynecology, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08036 Barcelona, Spain (M.G.)
| | - Cristina Martínez
- Sexual and Reproductive Health Services, Catalan Institute of Health, Universitat de Barcelona (UB), 08007 Barcelona, Spain
| | - Judit Amigó
- Department of Endocrinology, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08036 Barcelona, Spain
| | - Roser Ferrer
- Department of Clinical Biochemistry, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08036 Barcelona, Spain
| | - Laia Martí
- Department of Obstetrics and Gynecology, Hospital Universitari Parc Taulí, 08208 Sabadell, Spain
| | - Carme Merced
- Department of Obstetrics and Gynecology, Consorci Hospitalari de Vic, 08500 Barcelona, Spain
| | - Maria Carmen Medina
- Department of Obstetrics and Gynecology, Hospital de la Creu i Sant Pau, 08025 Barcelona, Spain
| | - Istria Molinero
- Department of Obstetrics and Gynecology, Hospital De Igualada, 08700 Barcelona, Spain
| | - Marta Calveiro
- Atenció a la Salut Sexual i Reproductiva (ASSIR) Muntanya, 08035 Barcelona, Spain
| | - Anna Maroto
- Department of Obstetrics and Gynecology, Hospital Josep Trueta, 17007 Girona, Spain
| | - Ester del Barco
- Maternal-Foetal Medicine Unit, Department of Obstetrics and Gynecology, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08036 Barcelona, Spain (M.G.)
| | - Elena Carreras
- Maternal-Foetal Medicine Unit, Department of Obstetrics and Gynecology, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08036 Barcelona, Spain (M.G.)
| | - Maria Goya
- Maternal-Foetal Medicine Unit, Department of Obstetrics and Gynecology, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08036 Barcelona, Spain (M.G.)
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Eteläinen S, Keikkala E, Lingaiah S, Viljakainen M, Männistö T, Pouta A, Kaaja R, Eriksson JG, Laivuori H, Gissler M, Kajantie E, Vääräsmäki M. Perinatal and neonatal outcomes in gestational diabetes: The importance of the number of abnormal values in an oral glucose tolerance test. Acta Obstet Gynecol Scand 2025; 104:130-138. [PMID: 39473341 DOI: 10.1111/aogs.14999] [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: 05/03/2024] [Revised: 08/30/2024] [Accepted: 10/11/2024] [Indexed: 01/01/2025]
Abstract
INTRODUCTION Gestational diabetes mellitus (GDM) is defined by one or more abnormal values in an oral glucose tolerance test (OGTT). The significance/importance of the number of abnormal values in relation to adverse perinatal and neonatal outcomes is unclear. We assessed the association of these outcomes with the number of abnormal glucose values in a 2-h 75 g OGTT in a large register-based cohort. MATERIAL AND METHODS This sub-study of the Finnish Gestational Diabetes Study was based on the Finnish Medical Birth Register 2009 supplemented with OGTT laboratory data of 4869 pregnant women from six Finnish hospitals. The diagnostic cut-offs in OGTT according to the Finnish guidelines for plasma samples were ≥5.3 mmol/L (fasting), ≥10.0 mmol/L 1 h or ≥8.6 mmol/L 2 h after the glucose load. As per the guidelines, women with one or several abnormal OGTT values received diet and lifestyle counseling in the primary care, self-monitored their glucose values and received pharmacological therapy as needed. Women with GDM were categorized according to the number of abnormal glucose values. The primary outcomes, composites of adverse perinatal (pre-eclampsia, preterm delivery, macrosomia or primary cesarean section) and neonatal outcomes (birth trauma, neonatal hypoglycemia, hyperbilirubinemia or stillbirth/perinatal mortality), were analyzed by logistic regression adjusted for maternal age, pre-pregnancy body mass index, parity, socio-economic status and smoking. RESULTS Of all the women, 877 (18.0%) had one, 278 (5.7%) two and 79 (1.6%) three abnormal OGTT values, while 3635 (74.7%) women were normoglycemic. Women with at least two abnormal OGTT values had higher proportions of adverse perinatal composite (35.0% vs. 27.5%, adjusted odds ratio 1.36; 95% confidence interval 1.03-1.81) and neonatal composite outcomes (31.1% vs. 18.9%, adjusted odds ratio 1.88; 95% confidence interval 1.40-2.52) compared to women with one abnormal value. The risks of delivery induction and neonatal hypoglycemia were increased regardless of the number of abnormal values when compared with normoglycemic women. CONCLUSIONS The risk of adverse perinatal and neonatal outcomes is significantly higher in women with two or more abnormal OGTT values than in those with one abnormal value.
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Affiliation(s)
- Sanna Eteläinen
- Research Unit of Clinical Medicine, Medical Research Centre Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki and Oulu, Finland
| | - Elina Keikkala
- Research Unit of Clinical Medicine, Medical Research Centre Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki and Oulu, Finland
| | - Shilpa Lingaiah
- Research Unit of Clinical Medicine, Medical Research Centre Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki and Oulu, Finland
| | - Matti Viljakainen
- Research Unit of Clinical Medicine, Medical Research Centre Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki and Oulu, Finland
| | - Tuija Männistö
- Northern Finland Laboratory Centre (NordLab), Department of Clinical Chemistry, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Anneli Pouta
- Research Unit of Clinical Medicine, Medical Research Centre Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Department of Government Services, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Risto Kaaja
- Department of Internal Medicine, Institute of Clinical Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Johan G Eriksson
- Department of General Practice and Primary Health Care, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Agency for Science, Technology and Research, Singapore Institute for Clinical Sciences, Singapore, Singapore
- Department of Obstetrics and Gynecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Hannele Laivuori
- Department of Obstetrics and Gynecology, Tampere University Hospital, Tampere, Finland
- Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Medical and Clinical Genetics, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Mika Gissler
- Department of Knowledge Brokers, Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
- Academic Primary Health Care Centre, Region Stockholm, Stockholm, Sweden
| | - Eero Kajantie
- Research Unit of Clinical Medicine, Medical Research Centre Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki and Oulu, Finland
- Children's Hospital, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Marja Vääräsmäki
- Research Unit of Clinical Medicine, Medical Research Centre Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki and Oulu, Finland
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14
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Fabricius EE, Bergholt T, Kelstrup L, Jangö H. Gestational Diabetes Mellitus Affects the Risk of Obstetric Anal Sphincter Injury: A Systematic Review and Meta-Analysis of Cohort Studies. Int Urogynecol J 2025; 36:25-34. [PMID: 39540971 DOI: 10.1007/s00192-024-05989-9] [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: 07/04/2024] [Accepted: 10/25/2024] [Indexed: 11/16/2024]
Abstract
INTRODUCTION AND HYPOTHESIS High birth weight increases the risk of obstetric anal sphincter injury. Macrosomia is a well-known complication in pregnancies complicated by gestational diabetes mellitus. The aim of this study was to investigate whether gestational diabetes is a risk factor for obstetric anal sphincter injury. We hypothesized that women with gestational diabetes have an increased risk of obstetric anal sphincter injury. METHODS We performed a systematic review and meta-analysis using the PubMed and Embase databases. Studies including numbers on women with and without gestational diabetes and with and without obstetric anal sphincter injury were included. Studies were assessed using the SIGN-methodology checklist to evaluate the quality and risk of bias. Extracted data was analyzed using RevMan 5.4 and the statistical software R. RESULTS Twelve cohort studies were included for the meta-analyses. Overall, we found a slightly increased prevalence of obstetric anal sphincter injury among the women with gestational diabetes of 2.40% (95% CI; 2.37-2.43) compared to 2.31% (95% CI; 2.30-2.32) in women without diabetes. The meta-analysis revealed increased risk of obstetric anal sphincter injury in the gestational diabetes-group (RR 1.24 [95% CI; 1.12-1.37]) with a high level of heterogeneity (I2 = 94%). Primiparous women with gestational diabetes had an increased risk of obstetric anal sphincter injury 6.65% (95% CI; 6.18-7.14) compared to 4.98% (95% CI; 4.89-5.08) in the control group, whereas the risk was not significantly increased in multiparous women. CONCLUSIONS The risk of obstetric anal sphincter injury is increased in primiparous women with gestational diabetes mellitus compared to women without gestational diabetes.
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Affiliation(s)
- Ella Eg Fabricius
- Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Thomas Bergholt
- Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
- Department of Obstetrics and Gynecology, Herlev University Hospital, Borgmester Ib Juuls Vej 1, Opgang 1, 16. Etage, 2730, Herlev, DK, Denmark
| | - Louise Kelstrup
- Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
- Department of Obstetrics and Gynecology, Herlev University Hospital, Borgmester Ib Juuls Vej 1, Opgang 1, 16. Etage, 2730, Herlev, DK, Denmark
| | - Hanna Jangö
- Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark.
- Department of Obstetrics and Gynecology, Herlev University Hospital, Borgmester Ib Juuls Vej 1, Opgang 1, 16. Etage, 2730, Herlev, DK, Denmark.
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Lee MH, Febriana E, Lim M, Baig S, Shen L, Dalakoti M, Chew N, Loh TP, Chan M, Chia KS, Kong APS, Cook AR, Halter JB, Magkos F, Toh SA. Performance of the 1 h oral glucose tolerance test in predicting type 2 diabetes and association with impaired β-cell function in Asians: a national prospective cohort study. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2025; 54:101278. [PMID: 39840148 PMCID: PMC11750441 DOI: 10.1016/j.lanwpc.2024.101278] [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: 10/04/2024] [Revised: 12/19/2024] [Accepted: 12/20/2024] [Indexed: 01/23/2025]
Abstract
Background Postprandial glucose concentration 1-h (1 h-PG) after an oral glucose tolerance test (OGTT) has similar or superior performance to 2 h-PG in predicting type-2 diabetes mellitus (T2DM) in several populations, and is simpler to obtain in clinical practice. However, studies in Asians are scarce. We investigated the utility of elevated baseline 1 h-PG in predicting T2DM incidence within three years, and its relationship with β-cell function in 1250 non-diabetic Asian participants. Methods Participants underwent an OGTT, an intravenous glucose challenge and a hyperinsulinemic-euglycemic clamp to determine glucose tolerance, acute insulin response (AIR) and insulin sensitivity at baseline. OGTTs were repeated every six months until study completion to monitor T2DM conversion. Findings The area under the receiver operating characteristic curve of 1 h-PG was not significantly different from 2 h-PG (AUC1h-PG = 0.883 vs. AUC2h-PG = 0.907; ΔAUC = -0.024, P = 0.124) and the optimal 1 h-PG cut-off was ≥10.7 mmol/L. When groups of high/low 1 h-PG and 2 h-PG at baseline were compared, AIR and disposition index were significantly lower in groups with high 1 h-PG, and both had a stronger correlation with 1 h-PG, indicating that impaired β-cell function was more strongly associated with elevated 1 h-PG than 2 h-PG. Interpretation The ability of 1 h-PG to detect Asians at risk of developing T2DM within three years is on par with 2 h-PG and the optimal cut-off is 10.7 mmol/L. Elevated 1 h-PG is associated with β-cell dysfunction. We conclude that 1 h-PG can be considered as a primary OGTT time point to identify Asians at risk for T2DM, allowing for screening at a reduced time and cost, and with lower patient burden. Funding National Medical Research Council (NMRC), Ministry of Health (MOH; Singapore) Industry Alignment Fund [NMRC/MOHIAFCat1/0048/2016] and Janssen Pharmaceuticals Inc. (USA).
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Affiliation(s)
- Michelle H. Lee
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- NOVI Health, Singapore
| | - Eveline Febriana
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Maybritte Lim
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Medicine, National University Hospital, Singapore
| | - Sonia Baig
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Liang Shen
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Mayank Dalakoti
- Department of Medicine, Ng Teng Fong General Hospital, Singapore
- Department of Cardiology, National University Heart Centre, Singapore
| | - Nicholas Chew
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Cardiology, National University Heart Centre, Singapore
| | - Tze Ping Loh
- Department of Laboratory Medicine, National University Hospital, Singapore
| | - Mark Chan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Cardiology, National University Heart Centre, Singapore
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Alice Pik-Shan Kong
- Department of Medicine & Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong SAR, China
| | - Alex R. Cook
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Jeffrey B. Halter
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Division of Geriatric and Palliative Medicine, University of Michigan, USA
| | - Faidon Magkos
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Denmark
| | - Sue-Anne Toh
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- NOVI Health, Singapore
- Department of Medicine, National University Hospital, Singapore
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16
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De S, Banerjee S, Rakshit P, Banerjee S, Kumar SKA. Unraveling the Ties: Type 2 Diabetes and Parkinson's Disease - A Nano-Based Targeted Drug Delivery Approach. Curr Diabetes Rev 2025; 21:32-58. [PMID: 38747222 DOI: 10.2174/0115733998291968240429111357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 04/04/2024] [Accepted: 04/15/2024] [Indexed: 02/26/2025]
Abstract
The link between Type 2 Diabetes (T2DM) and Parkinson's Disease (PD) dates back to the early 1960s, and ongoing research is exploring this association. PD is linked to dysregulation of dopaminergic pathways, neuroinflammation, decreased PPAR-γ coactivator 1-α, increased phosphoprotein enriched in diabetes, and accelerated α-Syn amyloid fibril production caused by T2DM. This study aims to comprehensively evaluate the T2DM-PD association and risk factors for PD in T2DM individuals. The study reviews existing literature using reputable sources like Scopus, ScienceDirect, and PubMed, revealing a significant association between T2DM and worsened PD symptoms. Genetic profiles of T2DM-PD individuals show similarities, and potential risk factors include insulin-resistance and dysbiosis of the gut-brain microbiome. Anti-diabetic drugs exhibit neuroprotective effects in PD, and nanoscale delivery systems like exosomes, micelles, and liposomes show promise in enhancing drug efficacy by crossing the Blood-Brain Barrier (BBB). Brain targeting for PD uses exosomes, micelles, liposomes, dendrimers, solid lipid nanoparticles, nano-sized polymers, and niosomes to improve medication and gene therapy efficacy. Surface modification of nanocarriers with bioactive compounds (such as angiopep, lactoferrin, and OX26) enhances α-Syn conjugation and BBB permeability. Natural exosomes, though limited, hold potential for investigating DM-PD pathways in clinical research. The study delves into the underlying mechanisms of T2DM and PD and explores current therapeutic approaches in the field of nano-based targeted drug delivery. Emphasis is placed on resolved and ongoing issues in understanding and managing both conditions.
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Affiliation(s)
- Sourav De
- Department of Pharmaceutical Technology, Eminent College of Pharmaceutical Technology, Kolkata, 700126, West Bengal, India
| | - Sabyasachi Banerjee
- Department of Pharmaceutical Chemistry, Gupta College of Technological Sciences, Asansol, 713301, West Bengal, India
| | - Pallabita Rakshit
- Department of Pharmaceutical Technology, Jadavpur University, Kolkata, 700032, India
| | - Subhasis Banerjee
- Department of Pharmaceutical Chemistry, Gupta College of Technological Sciences, Asansol, 713301, West Bengal, India
| | - S K Ashok Kumar
- Department of Chemistry, School of Advanced Sciences, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India
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Shaat N, Akel O, Kristensen K, Nilsson A, Berntorp K, Katsarou A. Analysis of self-monitoring of blood glucose metrics in gestational diabetes mellitus and their association with infants born large for gestational age: A historical observational cohort study of 879 pregnancies. Acta Obstet Gynecol Scand 2025; 104:109-118. [PMID: 39445712 DOI: 10.1111/aogs.14997] [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: 05/27/2024] [Revised: 09/20/2024] [Accepted: 10/09/2024] [Indexed: 10/25/2024]
Abstract
INTRODUCTION Self-monitoring of blood glucose (SMBG) is the standard of care for women with gestational diabetes mellitus (GDM). This study aimed to review SMBG profiles in women with GDM and to examine how glucose metrics derived from SMBG relate to fetal overgrowth and infants born large for gestational age (LGA, >90th percentile). MATERIAL AND METHODS This was a single-center, historical, observational cohort study of 879 GDM pregnancies in Sweden. The diagnosis of GDM was based on a universal 75 g oral glucose tolerance test at gestational week 28 or 12 in high-risk women. The glucose metrics derived from the SMBG profiles were calculated. Treatment targets for glucose were <5.3 mmol/L fasting, and ≤7.8 mmol/L 1-h postprandial. The median (interquartile range) number of glucose measurements in the analysis for each woman was 318 (216-471), including 53 (38-79) fasting glucose measurements. Associations between glucose metrics and LGA were analyzed using binary logistic regression analysis adjusted for maternal age, body mass index, smoking, nulliparity, and European/non-European origin. Receiver operating characteristic (ROC) curves were used to evaluate glucose levels for LGA prediction. Differences in means were tested using analysis of variance. RESULTS The proportion of LGA infants was 14.6%. Higher mean glucose levels and smaller proportion of readings in target (glucose 3.5-7.8 mmol/L) were significantly associated with LGA (odds ratio [95% confidence interval]: 3.06 [2.05-4.57] and 0.94 [0.92-0.96], respectively). The strongest association was found with mean fasting glucose (3.84 [2.55-5.77]). The ability of mean fasting glucose and overall mean glucose to predict LGA infants in the ROC curves was fair, with areas under the curve of 0.738 and 0.697, respectively (p < 0.001). The corresponding discriminating thresholds were 5.3 and 6.1 mmol/L, respectively. Mean glucose levels increased and readings in target decreased with increasing body mass index category and at each step of adding pharmacological treatment, from diet alone to metformin and insulin (p < 0.001). CONCLUSIONS Higher mean glucose levels and a smaller proportion of readings within the target range were associated with an increased risk of LGA. Suboptimal glucose control is associated with obesity and the need for pharmacological treatment.
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Affiliation(s)
- Nael Shaat
- Genetics and Diabetes Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Department of Endocrinology, Skåne University Hospital, Malmö, Sweden
- The Parker Institute, Copenhagen University Hospital, Copenhagen, Denmark
| | - Omar Akel
- Genetics and Diabetes Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Department of Endocrinology, Skåne University Hospital, Malmö, Sweden
| | - Karl Kristensen
- Genetics and Diabetes Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Maternal Fetal Medicine Unit, Gold Coast University Hospital and School of Medicine, Grifth University, Gold Coast, Queens Land, Australia
| | - Anton Nilsson
- EPI@LUND Unit, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Kerstin Berntorp
- Genetics and Diabetes Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Department of Endocrinology, Skåne University Hospital, Malmö, Sweden
| | - Anastasia Katsarou
- Genetics and Diabetes Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Department of Endocrinology, Skåne University Hospital, Malmö, Sweden
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18
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American Diabetes Association Professional Practice Committee, ElSayed NA, McCoy RG, Aleppo G, Balapattabi K, Beverly EA, Briggs Early K, Bruemmer D, Ebekozien O, Echouffo-Tcheugui JB, Ekhlaspour L, Gaglia JL, Garg R, Khunti K, Lal R, Lingvay I, Matfin G, Pandya N, Pekas EJ, Pilla SJ, Polsky S, Segal AR, Seley JJ, Selvin E, Stanton RC, Bannuru RR. 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2025. Diabetes Care 2025; 48:S27-S49. [PMID: 39651986 PMCID: PMC11635041 DOI: 10.2337/dc25-s002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Accepted: 09/12/2024] [Indexed: 12/14/2024]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Luo J, Tong L, Xu A, He Y, Huang H, Qiu D, Guo X, Chen H, Xu L, Li Y, Zhang H, Li Y. Gestational Diabetes Mellitus: New Thinking on Diagnostic Criteria. Life (Basel) 2024; 14:1665. [PMID: 39768372 PMCID: PMC11679338 DOI: 10.3390/life14121665] [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: 11/01/2024] [Revised: 12/05/2024] [Accepted: 12/12/2024] [Indexed: 01/11/2025] Open
Abstract
Currently, there is a lack of standardized diagnostic criteria for gestational diabetes mellitus (GDM), making it a subject of ongoing debate. The optimal diagnostic method and screening strategy for GDM remain contentious. In this review, we summarize the criteria and methods for diagnosing GDM, and perform a comparison between universal and selective screening strategies. Therefore, this review aims to highlight the following: (1) The most widely adopted criteria for GDM are those established by the International Association of Diabetes and Pregnancy Study Groups (IADPSG). (2) Evidence from cohort studies suggests that the one-step diagnostic method is associated with improved pregnancy outcomes and appears more cost-effective compared to the two-step method. (3) Universal screening is more cost-effective than selective screening, which may overlook a significant number of women with GDM. Additionally, various methods have been proposed for early pregnancy screening (before 14 weeks). Finally, an outlook is presented for the diagnosis of GDM, emphasizing the importance of large-scale randomized controlled trials (RCTs) to provide stronger evidence for future support.
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Affiliation(s)
- Jiyu Luo
- School of Medicine and Health, Wuhan Polytechnic University, Wuhan 430023, China; (J.L.); (A.X.); (Y.H.); (H.H.); (D.Q.)
| | - Ling Tong
- School of Health and Nursing, Wuchang University of Technology, Wuhan 430223, China;
| | - Ao Xu
- School of Medicine and Health, Wuhan Polytechnic University, Wuhan 430023, China; (J.L.); (A.X.); (Y.H.); (H.H.); (D.Q.)
| | - Yihan He
- School of Medicine and Health, Wuhan Polytechnic University, Wuhan 430023, China; (J.L.); (A.X.); (Y.H.); (H.H.); (D.Q.)
| | - Haiyun Huang
- School of Medicine and Health, Wuhan Polytechnic University, Wuhan 430023, China; (J.L.); (A.X.); (Y.H.); (H.H.); (D.Q.)
| | - Dongmei Qiu
- School of Medicine and Health, Wuhan Polytechnic University, Wuhan 430023, China; (J.L.); (A.X.); (Y.H.); (H.H.); (D.Q.)
| | - Xiaoyu Guo
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan 430023, China; (X.G.); (H.C.); (L.X.); (Y.L.)
| | - Hongli Chen
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan 430023, China; (X.G.); (H.C.); (L.X.); (Y.L.)
| | - Lingyun Xu
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan 430023, China; (X.G.); (H.C.); (L.X.); (Y.L.)
| | - Yang Li
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan 430023, China; (X.G.); (H.C.); (L.X.); (Y.L.)
| | - Hongling Zhang
- School of Medicine and Health, Wuhan Polytechnic University, Wuhan 430023, China; (J.L.); (A.X.); (Y.H.); (H.H.); (D.Q.)
| | - Yuanyuan Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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20
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Turbić A, Vandenput L, Gandham A, Lorentzon M. Effects of Synbiotic Supplementation on Bone and Metabolic Health in Caucasian Postmenopausal Women: Rationale and Design of the OsteoPreP Trial. Nutrients 2024; 16:4219. [PMID: 39683612 DOI: 10.3390/nu16234219] [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: 11/12/2024] [Revised: 11/28/2024] [Accepted: 12/04/2024] [Indexed: 12/18/2024] Open
Abstract
BACKGROUND/OBJECTIVES Correction of decreased diversity of the gut microbiome, which is characteristic of menopause, by supplementation with a synbiotic may attenuate or prevent dysbiosis processes and preserve bone mass. We describe the rationale and design of the OsteoPreP trial aimed at evaluating the effects of 12 months of supplementation with a synbiotic on bone and metabolic health in postmenopausal Caucasian women. METHODS This is a randomized, double-blinded, placebo-controlled trial among 160 Caucasian, postmenopausal women with no current diagnosis of osteoporosis or supplementation with pro- or prebiotics, and no medical treatment affecting bone turnover. Dual-energy X-ray absorptiometry scans will be conducted at screening to confirm absence of osteoporosis. The primary outcome is the relative change (%) in total bone mineral density of the distal tibia at 12 months post-treatment between the active and placebo groups, as determined via high-resolution peripheral quantitative computed tomography. Secondary outcomes are the effects on immune system modulation and cognition, gut microbiota composition, and musculoskeletal and metabolic functions, with particular emphasis on blood glucose regulation. CONCLUSIONS The trial will inform on the efficacy and safety of a synbiotic containing both aerobic and anerobic bacterial strains and a prebiotic fiber on reduction in bone loss and on indices of blood glucose regulation. This trial may pave the way for an exciting field of translational research and be the underpinnings of the prevention strategy of osteoporosis and the management of metabolic dysfunction in postmenopausal women. The trial is registered with clinicaltrials.gov (NCT05348694).
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Affiliation(s)
- Alisa Turbić
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC 3000, Australia
| | - Liesbeth Vandenput
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, 41345 Gothenburg, Sweden
| | - Anoohya Gandham
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC 3000, Australia
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia
| | - Mattias Lorentzon
- Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, 41345 Gothenburg, Sweden
- Region Västra Götaland, Department of Geriatric Medicine, Sahlgrenska University Hospital, 43153 Mölndal, Sweden
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Berti GN, Garcia IGO, de Toledo JPRF, Tatemoto JR, Marino LW, Legori MDM, de Toledo SF. Metformin versus insulin in gestational diabetes mellitus: a systematic review. REVISTA BRASILEIRA DE GINECOLOGIA E OBSTETRÍCIA 2024; 46:e-rbgo89. [PMID: 39669300 PMCID: PMC11637449 DOI: 10.61622/rbgo/2024rbgo89] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Accepted: 09/09/2024] [Indexed: 12/14/2024] Open
Abstract
Objective The aim of this study is to assess the use of metformin with or without insulin for the treatment of Gestational Diabetes Mellitus compared to insulin alone. Data sources This article consists of a systematic review of randomized clinical trials. The searches were carried out on MEDLINE including 7 studies, between 2010 to 2021. Study selection Randomized clinical trials comparing metformin and insulin written in English, Spanish or Portuguese, with no time limit, were included. Data collection Data was extracted from all the 7 articles and compared statistically when possible. Whenever data was not available or couldn't be statistically compared, the main results were described in detail. Data synthesis Insulin alone is not superior than metformin with or without insulin on gestational diabetes mellitus. Conclusion There is a potential viability of using metformin as an alternative compared to insulin alone in the treatment of Gestational Diabetes Mellitus. However, all assessed outcomes have a very low level of certainty of evidence and more studies are necessary to support these findings.
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Affiliation(s)
- Giovanna Noronha Berti
- Centro Universitário LusíadaSantosSPBrazilCentro Universitário Lusíada, Santos, SP, Brazil.
| | | | | | | | - Lais Watanabe Marino
- Centro Universitário LusíadaSantosSPBrazilCentro Universitário Lusíada, Santos, SP, Brazil.
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22
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Liu B, Zong G, Zhu L, Hu Y, Manson JE, Wang M, Rimm EB, Hu FB, Sun Q. Chocolate intake and risk of type 2 diabetes: prospective cohort studies. BMJ 2024; 387:e078386. [PMID: 39631943 PMCID: PMC11616007 DOI: 10.1136/bmj-2023-078386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/05/2024] [Indexed: 12/07/2024]
Abstract
OBJECTIVE To prospectively investigate the associations between dark, milk, and total chocolate consumption and risk of type 2 diabetes (T2D) in three US cohorts. DESIGN Prospective cohort studies. SETTING Nurses' Health Study (NHS; 1986-2018), Nurses' Health Study II (NHSII; 1991-2021), and Health Professionals Follow-Up Study (HPFS; 1986-2020). PARTICIPANTS At study baseline for total chocolate analyses (1986 for NHS and HPFS; 1991 for NHSII), 192 208 participants without T2D, cardiovascular disease, or cancer were included. 111 654 participants were included in the analysis for risk of T2D by intake of chocolate subtypes, assessed from 2006 in NHS and HPFS and from 2007 in NHSII. MAIN OUTCOME MEASURE Self-reported incident T2D, with patients identified by follow-up questionnaires and confirmed through a validated supplementary questionnaire. Cox proportional hazards regression was used to estimate hazard ratios and 95% confidence intervals (CIs) for T2D according to chocolate consumption. RESULTS In the primary analyses for total chocolate, 18 862 people with incident T2D were identified during 4 829 175 person years of follow-up. After adjusting for personal, lifestyle, and dietary risk factors, participants consuming ≥5 servings/week of any chocolate showed a significant 10% (95% CI 2% to 17%; P trend=0.07) lower rate of T2D compared with those who never or rarely consumed chocolate. In analyses by chocolate subtypes, 4771 people with incident T2D were identified. Participants who consumed ≥5 servings/week of dark chocolate showed a significant 21% (5% to 34%; P trend=0.006) lower risk of T2D. No significant associations were found for milk chocolate intake. Spline regression showed a linear dose-response association between dark chocolate intake and risk of T2D (P for linearity=0.003), with a significant risk reduction of 3% (1% to 5%) observed for each serving/week of dark chocolate consumption. Intake of milk, but not dark, chocolate was positively associated with weight gain. CONCLUSIONS Increased consumption of dark, but not milk, chocolate was associated with lower risk of T2D. Increased consumption of milk, but not dark, chocolate was associated with long term weight gain. Further randomized controlled trials are needed to replicate these findings and further explore the mechanisms.
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Affiliation(s)
- Binkai Liu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Geng Zong
- Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Lu Zhu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yang Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - JoAnn E Manson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Molin Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Eric B Rimm
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
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23
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Bernasko J. A framework to classify gestational diabetes diagnosed by routine antenatal 75g glucose tolerance testing. J Matern Fetal Neonatal Med 2024; 37:2373393. [PMID: 38977393 DOI: 10.1080/14767058.2024.2373393] [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: 01/21/2024] [Accepted: 06/21/2024] [Indexed: 07/10/2024]
Abstract
OBJECTIVE To create an objective framework to classify gestational diabetes mellitus diagnosed by routine antenatal 75 g diabetes testing results to provide an alternative to current treatment-based classification. METHODS A framework was created to classify gestational diabetes according to the severity of glycemic abnormalities after routine antenatal 75 g GTT (classes 1 through 4, determined by fasting and post-test glycemic abnormalities). A retrospective cohort chart review was used to correlate clinically how often diet therapy alone maintained glycemic targets throughout pregnancy in each class. Chi-square analysis was used to assess inter-class differences in the success of diet therapy alone maintaining glycemic targets throughout pregnancy. RESULTS Seventy-four of 228 (33%), 35/228 (15%), 76/228 (33%), and 43/228 (19%) of the study population were classified as Class 1, 2, 3, or 4, respectively. Of eighty-nine patients who maintained glycemic targets throughout pregnancy with diet alone 51/89 (57%) were Class 1, 20/89 (22.5%) were Class 2, 11/89 (12.5%) were Class 3, and 7/89 (8%) were Class 4. Chi-square analysis showed statistically significant inter-class differences in the likelihood of diet therapy alone maintaining glycemic targets throughout pregnancy. CONCLUSION In this framework classifying gestational diabetes according to the severity of glycemic abnormalities after routine antenatal 75 g GTT (an objective proxy for disease severity), the higher the assigned class, the less likely that diet therapy alone maintained glycemic targets throughout pregnancy (a clinical proxy for disease severity).
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Affiliation(s)
- James Bernasko
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, Stony Brook University Health Sciences Center, Stony Brook, NY, USA
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24
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Bullón-Vela V, Martínez-Tabar A, Etxezarreta-Uranga M, Martínez-González MÁ, Basterra-Gortari FJ, Bes-Rastrollo M. Pre-Pregnancy Provegetarian Food Pattern and the Risk of Developing Gestational Diabetes Mellitus: The Seguimiento Universidad de Navarra (SUN) Cohort Study. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:1881. [PMID: 39597066 PMCID: PMC11596851 DOI: 10.3390/medicina60111881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2024] [Revised: 11/11/2024] [Accepted: 11/14/2024] [Indexed: 11/29/2024]
Abstract
Background and Objectives: Gestational diabetes mellitus (GDM) is one of the most common medical conditions in pregnancy, with adverse effects on maternal and neonatal outcomes. Evidence suggests a beneficial effect of plant-based dietary patterns, rich in foods derived from plant sources and low in animal foods, on type 2 diabetes; however, their effects on GDM remain unclear. We aimed to investigate the association between pre-pregnancy provegetarian food patterns and the incidence of GDM in a Spanish cohort. Materials and Methods: This subsample of the Seguimiento Universidad de Navarra (SUN) cohort analyzed 3589 Spanish university graduate pregnant women with a mean (standard deviation) age of 28 (±4.3) who were initially free of pre-existing diabetes at baseline. Dietary food consumption was evaluated through a validated, 136-item semi-quantitative food frequency questionnaire. The pre-pregnancy provegetarian food pattern was obtained by assigning positive scores to plant-based food groups and reverse scores to animal food groups. Energy-adjusted quintiles were applied to allocate points to construct the provegetarian food pattern, ranging from 12 to 60 points. Logistic regression models were performed to estimate the odds ratios (OR) of GDM across quintiles of a pre-pregnancy provegetarian food pattern, using the lowest quintile as the reference category. Results: We identified 178 incidence cases of GDM. Women in the highest quintile (Q5) of provegetarian food pattern before pregnancy exhibited a 42% relative reduction in the odds of GDM [adjusted OR (95% CI) Q5 vs. Q1: 0.58 (0.35, 0.97); p-trend = 0.109]. Higher consumption of meat and dairy before pregnancy was associated with a significantly increased risk of GDM [adjusted OR (95% CI) Q5 vs. Q1: 1.94 (1.19, 3.16); p-trend = 0.005] and [adjusted OR (95% CI) Q5 vs. Q1: 1.77 (1.07, 2.94); p-trend = 0.082], respectively. Conclusions: Higher pre-pregnancy consumption of a provegetarian food pattern was associated with a lower risk of developing GDM in Spanish women. Further studies are needed to confirm these findings.
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Grants
- the Spanish Government-Instituto de Salud Carlos III, the European Regional Development Fund (FEDER) (RD 06/0045, CIBEROBN, Grants PI10/02658, PI10/02293, PI13/00615, PI14/01668, PI14/01798, PI14/01764, PI17/01795, PI20/00564,PI21/01332 and G03/140), the Spanish Government-Instituto de Salud Carlos III, the European Regional Development Fund (FEDER), CIBEROBN, the Navarra Regional Government, the National Plan on Drugs, and the University of Navarra.
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Affiliation(s)
- Vanessa Bullón-Vela
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain; (V.B.-V.); (A.M.-T.); (M.E.-U.); (F.J.B.-G.); (M.B.-R.)
- IdiSNA, Navarra Institute for Health Research, Irunlarrea 3, 31008 Pamplona, Spain
| | - Ainara Martínez-Tabar
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain; (V.B.-V.); (A.M.-T.); (M.E.-U.); (F.J.B.-G.); (M.B.-R.)
- IdiSNA, Navarra Institute for Health Research, Irunlarrea 3, 31008 Pamplona, Spain
| | - Maddi Etxezarreta-Uranga
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain; (V.B.-V.); (A.M.-T.); (M.E.-U.); (F.J.B.-G.); (M.B.-R.)
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain; (V.B.-V.); (A.M.-T.); (M.E.-U.); (F.J.B.-G.); (M.B.-R.)
- IdiSNA, Navarra Institute for Health Research, Irunlarrea 3, 31008 Pamplona, Spain
- CIBER Fisiopatología de La Obesidad y Nutrición, 28029 Madrid, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Francisco Javier Basterra-Gortari
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain; (V.B.-V.); (A.M.-T.); (M.E.-U.); (F.J.B.-G.); (M.B.-R.)
- IdiSNA, Navarra Institute for Health Research, Irunlarrea 3, 31008 Pamplona, Spain
- Department of Endocrinology and Nutrition, Hospital Universitario de Navarra, Universidad Pública de Navarra, 31008 Pamplona, Spain
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain; (V.B.-V.); (A.M.-T.); (M.E.-U.); (F.J.B.-G.); (M.B.-R.)
- IdiSNA, Navarra Institute for Health Research, Irunlarrea 3, 31008 Pamplona, Spain
- CIBER Fisiopatología de La Obesidad y Nutrición, 28029 Madrid, Spain
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Mora-Ortiz M, Rivas-García L. Gestational Diabetes Mellitus: Unveiling Maternal Health Dynamics from Pregnancy Through Postpartum Perspectives. OPEN RESEARCH EUROPE 2024; 4:164. [PMID: 39355538 PMCID: PMC11443192 DOI: 10.12688/openreseurope.18026.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 10/29/2024] [Indexed: 10/03/2024]
Abstract
Gestational Diabetes Mellitus (GDM) is the most frequent pregnancy-related medical issue and presents significant risks to both maternal and foetal health, requiring monitoring and management during pregnancy. The prevalence of GDM has surged globally in recent years, mirroring the rise in diabetes and obesity rates. Estimated to affect from 5% to 25% of pregnancies, GDM impacts approximately 21 million live births annually, according to the International Diabetes Federation (IDF). However, consensus on diagnostic approaches remains elusive, with varying recommendations from international organizations, which makes the comparison between research complicated. Compounding concerns are the short-term and long-term complications stemming from GDM for mothers and offspring. Maternal outcomes include heightened cardiovascular risks and a notable 70% risk of developing Type 2 Diabetes Mellitus (T2DM) within a decade postpartum. Despite this, research into the metabolic profiles associated with a previous GDM predisposing women to T2D remains limited. While genetic biomarkers have been identified, indicating the multifaceted nature of GDM involving hormonal changes, insulin resistance, and impaired insulin secretion, there remains a dearth of exploration into the enduring health implications for both mothers and their children. Furthermore, offspring born to mothers with GDM have been shown to face an increased risk of obesity and metabolic syndrome during childhood and adolescence, with studies indicating a heightened risk ranging from 20% to 50%. This comprehensive review aims to critically assess the current landscape of Gestational Diabetes Mellitus (GDM) research, focusing on its prevalence, diagnostic challenges, and health impacts on mothers and offspring. By examining state-of-the-art knowledge and identifying key knowledge gaps in the scientific literature, this review aims to highlight the multifaceted factors that have hindered a deeper understanding of GDM and its long-term consequences. Ultimately, this scholarly exploration seeks to promote further investigation into this critical area, improving health outcomes for mothers and their children.
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Affiliation(s)
- Marina Mora-Ortiz
- Lipids and Atherosclerosis Unit, Internal Medicine, Reina Sofia University Hospital, Córdoba, Andalucía, 14004, Spain
- GC09-Nutrigenomics and Metabolic Syndrome, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Córdoba, Andalucía, 14004, Spain
- Department of Medical and Surgical Sciences, Universidad de Cordoba, Córdoba, Andalucía, 14004, Spain
| | - Lorenzo Rivas-García
- Department of Physiology, Institute of Nutrition and Food Technology “José Mataix Verdú”, Biomedical Research Centre, Universidad de Granada, Armilla, Granada, Andalucia, 18016, Spain
- Sport and Health Research Centre, Universidad de Granada, Armilla, Granada, Andalucia, 18016, Spain
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26
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Aung NL. Postprandial Plasma Glucose. Clin Diabetes 2024; 43:161-164. [PMID: 39829699 PMCID: PMC11739343 DOI: 10.2337/cd24-0099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2025]
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Álvarez-Villalobos NA, Ramírez-Torres AI, Ruiz-Hernández FG, Omaña GGE, García-Hernández RM, Peña PJM, Rojo-Garza SS. Evaluating the metformin use on type 2 diabetes prevention in high-risk populations in primary care. J Family Med Prim Care 2024; 13:5002-5008. [PMID: 39722964 PMCID: PMC11668474 DOI: 10.4103/jfmpc.jfmpc_552_24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 05/16/2024] [Accepted: 06/14/2024] [Indexed: 12/28/2024] Open
Abstract
Purpose/Background To identify the proportion of patients with prediabetes who have prescribed metformin and factors related to doing so as a preventive measure for diabetes in primary care at a Family Medicine Unit in northeastern Mexico. Methods This retrospective observational study included 372 adults who met the criteria for prediabetes diagnosis according to the American Diabetes Association. Data was collected from medical records from January 2020 to December 2021. Possible associations between the variables of interest and the prescription of metformin were tested via hypothesis tests, furthermore, binary logistic regression was performed. Results Nearly 85% of the patients met at least one criterion for receiving metformin according to ADA recommendations, but only 60% of them were prescribed this medication. Patients with metformin prescriptions differed from those without in aspects such as having a documented diagnosis of prediabetes in their medical records, a higher BMI, and higher glucose levels. Conclusions Almost one out of two patients with a high risk of type 2 diabetes are not treated with metformin as a preventive measure. Factors associated with metformin prescription included a high BMI, elevated baseline glucose levels, and a prediabetes diagnosis in the medical record. These findings suggest the need for studies to evaluate physicians' reasons for different treatments and implementation of recommendations for type 2 diabetes prevention in patients with prediabetes in primary health care.
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Affiliation(s)
- Neri A. Álvarez-Villalobos
- Department of Education, Family Medicine Unit Number 7, Instituto Mexicano del Seguro Social (IMSS), San Pedro Garza García, N.L., Mexico
- Department of Postgraduate Studies, Family Medicine, Universidad de Monterrey, Monterrey, Nuevo León, Mexico
- Centro de Desarrollo de Investigación 360, Faculty of Medicine, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, Mexico
- Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN, USA
| | - Andony I. Ramírez-Torres
- Department of Education, Family Medicine Unit Number 7, Instituto Mexicano del Seguro Social (IMSS), San Pedro Garza García, N.L., Mexico
| | - Fernando G. Ruiz-Hernández
- Centro de Desarrollo de Investigación 360, Faculty of Medicine, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, Mexico
| | - Gabriela G. Elizondo Omaña
- Department of Education, Family Medicine Unit Number 64, Instituto Mexicano del Seguro Social (IMSS), Santa Catarina, N.L., Mexico
| | - Rosa M. García-Hernández
- Department of Education, Family Medicine Unit Number 7, Instituto Mexicano del Seguro Social (IMSS), San Pedro Garza García, N.L., Mexico
| | - Pablo J. Moreno Peña
- Centro de Desarrollo de Investigación 360, Faculty of Medicine, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, Mexico
| | - Sandra S. Rojo-Garza
- Department of Education, Family Medicine Unit Number 7, Instituto Mexicano del Seguro Social (IMSS), San Pedro Garza García, N.L., Mexico
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Peña-Montero N, Linares-Pineda TM, Fernández-Valero A, Lima-Rubio F, Fernández-Ramos AM, Gutiérrez-Repiso C, Suárez-Arana M, Picón-César MJ, Molina-Vega M, Morcillo S. Differences in DNA Methylation in Genes Involved in Vitamin D Metabolism Are Related to Insulin Requirement in Pregnant Women with Gestational Diabetes Mellitus. Int J Mol Sci 2024; 25:10576. [PMID: 39408904 PMCID: PMC11476386 DOI: 10.3390/ijms251910576] [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: 09/03/2024] [Revised: 09/24/2024] [Accepted: 09/24/2024] [Indexed: 10/20/2024] Open
Abstract
In a previous study performed by our group, pregnant women with Gestational Diabetes (GDM) showed higher vitamin D (VitD) levels in the last trimester, particularly in those requiring insulin. This phenomenon was not linked to factors like season or supplementation. This study aimed to investigate if insulin treatment in GDM affects DNA methylation in VitD metabolism genes. Thirty-two pregnant women were selected, half of whom had GDM, and were divided into insulin-treated and lifestyle groups. The DNA methylation levels in CpGs from 47 VitD metabolism-related genes were analyzed at the diagnostic visit (24-28 weeks) and before delivery. At week 36-38 of pregnancy, twenty-six CpG sites were differentially methylated (DMPs) in the insulin-treated group compared with the control group and the lifestyle group. Twenty-two of these DMPs were not different at the diagnostic visit. Six CpGs (cg18276810 (CTNNB1), cg03919554 (FGFR3), cg03984919 (NCOA1), cg19218509 (ASIP), cg09922639 (SMAD3), and cg25356935 (PDZD3)) showed significant correlations with VitD levels, not only before childbirth, but also in the postpartum period and at one year later. This suggests that insulin treatment in GDM could influence DNA methylation in genes involved in vitamin D metabolism, affecting VitD levels during and after pregnancy. Further research is warranted to elucidate these findings' clinical implications.
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Affiliation(s)
- Nerea Peña-Montero
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, 29010 Málaga, Spain; (N.P.-M.); (T.M.L.-P.); (A.F.-V.); (F.L.-R.); (C.G.-R.); (M.J.P.-C.); (M.M.-V.)
| | - Teresa María Linares-Pineda
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, 29010 Málaga, Spain; (N.P.-M.); (T.M.L.-P.); (A.F.-V.); (F.L.-R.); (C.G.-R.); (M.J.P.-C.); (M.M.-V.)
- CIBER Pathophysiology of Obesity and Nutrition—CIBERON, 28029 Madrid, Spain
- Biomedical Research Institute—IBIMA, 29590 Málaga, Spain
| | - Andrea Fernández-Valero
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, 29010 Málaga, Spain; (N.P.-M.); (T.M.L.-P.); (A.F.-V.); (F.L.-R.); (C.G.-R.); (M.J.P.-C.); (M.M.-V.)
| | - Fuensanta Lima-Rubio
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, 29010 Málaga, Spain; (N.P.-M.); (T.M.L.-P.); (A.F.-V.); (F.L.-R.); (C.G.-R.); (M.J.P.-C.); (M.M.-V.)
- Biomedical Research Institute—IBIMA, 29590 Málaga, Spain
| | | | - Carolina Gutiérrez-Repiso
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, 29010 Málaga, Spain; (N.P.-M.); (T.M.L.-P.); (A.F.-V.); (F.L.-R.); (C.G.-R.); (M.J.P.-C.); (M.M.-V.)
- CIBER Pathophysiology of Obesity and Nutrition—CIBERON, 28029 Madrid, Spain
- Biomedical Research Institute—IBIMA, 29590 Málaga, Spain
| | - María Suárez-Arana
- Department of Obstetrics and Gynecology, Regional University Hospital, 29011 Málaga, Spain;
| | - María José Picón-César
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, 29010 Málaga, Spain; (N.P.-M.); (T.M.L.-P.); (A.F.-V.); (F.L.-R.); (C.G.-R.); (M.J.P.-C.); (M.M.-V.)
- CIBER Pathophysiology of Obesity and Nutrition—CIBERON, 28029 Madrid, Spain
- Biomedical Research Institute—IBIMA, 29590 Málaga, Spain
| | - María Molina-Vega
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, 29010 Málaga, Spain; (N.P.-M.); (T.M.L.-P.); (A.F.-V.); (F.L.-R.); (C.G.-R.); (M.J.P.-C.); (M.M.-V.)
- CIBER Pathophysiology of Obesity and Nutrition—CIBERON, 28029 Madrid, Spain
- Biomedical Research Institute—IBIMA, 29590 Málaga, Spain
| | - Sonsoles Morcillo
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, 29010 Málaga, Spain; (N.P.-M.); (T.M.L.-P.); (A.F.-V.); (F.L.-R.); (C.G.-R.); (M.J.P.-C.); (M.M.-V.)
- CIBER Pathophysiology of Obesity and Nutrition—CIBERON, 28029 Madrid, Spain
- Biomedical Research Institute—IBIMA, 29590 Málaga, Spain
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Hernández-Huerta MT, Martínez-Cruz R, Pérez-Campos Mayoral L, Pina-Canseco MDS, Solórzano-Mata CJ, Martínez-Cruz M, Vásquez Martínez IP, Zenteno E, Laguna Barrios LÁ, Matias-Cervantes CA, Pérez-Campos Mayoral E, Pérez-Campos E. Association between O-GlcNAc levels and platelet function in obese insulin-resistant subjects. Glycoconj J 2024; 41:291-300. [PMID: 39300054 DOI: 10.1007/s10719-024-10164-9] [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: 03/14/2024] [Revised: 07/22/2024] [Accepted: 08/19/2024] [Indexed: 09/22/2024]
Abstract
Obesity is an epidemic associated with platelet and vascular disorders. Platelet O-GlcNAcylation has been poorly studied in obese subjects. We aimed to evaluate O-linked N-acetyl-glucosamine (O-GlcNAc) levels and platelet activity in obese insulin-resistant (ObIR) subjects. Six healthy and six insulin-resistant obese subjects with a body mass index of 22.6 kg/m2 (SD ± 2.2) and 35.6 kg/m2 (SD ± 3.8), respectively, were included. Flow cytometry was used to measure markers of platelet activity, expression of P-selectin (CD62P antibody), glycoprotein IIb/IIIa (integrins αIIbβ3 binding to PAC-1 antibody), and thrombin stimulation. O-GlcNAc was determined in the platelets of all test subjects by cytofluometry, intracellular calcium, percentage of platelet aggregation, and immunofluorescence microscopy and Western blot were used to assess O-GlcNAc and OGT (O-GlcNAc transferase) in platelets. Platelets from ObIR subjects had on average 221.4 nM intracellular calcium, 81.89% PAC-1, 22.85% CD62P, 57.48% OGT, and 66.62% O-GlcNAc, while platelets from healthy subjects had on average 719.2 nM intracellular calcium, 4.99% PAC-1, 3.17% CD62P, 18.38% OGT, and 23.41% O-GlcNAc. ObIR subjects showed lower platelet aggregation than healthy subjects, 13.83% and 54%, respectively. The results show that ObIR subjects have increased O-GlcNAc, and increased intraplatelet calcium associated with platelet hyperactivity and compared to healthy subjects, suggesting that changes in platelet protein O-GlcNAcylation and platelet activity might serve as a possible prognostic tool for insulin resistance, prediabetes and its progression to type 2 diabetes mellitus.
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Affiliation(s)
| | - Ruth Martínez-Cruz
- Centro de Investigación Facultad de Medicina UNAM-UABJO, Facultad de Medicina y Cirugía, Universidad Autónoma "Benito Juárez" de Oaxaca, Oaxaca, 68020, México
| | - Laura Pérez-Campos Mayoral
- Centro de Investigación Facultad de Medicina UNAM-UABJO, Facultad de Medicina y Cirugía, Universidad Autónoma "Benito Juárez" de Oaxaca, Oaxaca, 68020, México
| | - María Del Socorro Pina-Canseco
- Centro de Investigación Facultad de Medicina UNAM-UABJO, Facultad de Medicina y Cirugía, Universidad Autónoma "Benito Juárez" de Oaxaca, Oaxaca, 68020, México
| | - Carlos Josué Solórzano-Mata
- Centro de Investigación Facultad de Medicina UNAM-UABJO, Facultad de Medicina y Cirugía, Universidad Autónoma "Benito Juárez" de Oaxaca, Oaxaca, 68020, México
- Facultad de Odontología, Universidad Autónoma "Benito Juárez" de Oaxaca, Oaxaca City, 68120, México
| | | | - Itzel Patricia Vásquez Martínez
- Centro de Investigación Facultad de Medicina UNAM-UABJO, Facultad de Medicina y Cirugía, Universidad Autónoma "Benito Juárez" de Oaxaca, Oaxaca, 68020, México
| | - Edgar Zenteno
- Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, 04360, México
| | - Luis Ángel Laguna Barrios
- Centro de Investigación Facultad de Medicina UNAM-UABJO, Facultad de Medicina y Cirugía, Universidad Autónoma "Benito Juárez" de Oaxaca, Oaxaca, 68020, México
| | | | - Eduardo Pérez-Campos Mayoral
- Centro de Investigación Facultad de Medicina UNAM-UABJO, Facultad de Medicina y Cirugía, Universidad Autónoma "Benito Juárez" de Oaxaca, Oaxaca, 68020, México
| | - Eduardo Pérez-Campos
- Tecnológico Nacional de México/IT de Oaxaca, Oaxaca, 68030, México.
- Laboratorio de Patología Clínica, "Dr. Eduardo Pérez Ortega,", Oaxaca, 68000, México.
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30
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Lin Y, Chen R, Ge Y, Jessica B, Hopke PK, Miller RK, Thornburg LL, Stevens T, Barrett ES, Harrington DK, Thurston SW, Murphy SK, O’Connor TG, Rich DQ, Zhang J(J. Exposure to Low-Level Air Pollution and Hyperglycemia Markers during Pregnancy: A Repeated Measure Analysis. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:15997-16005. [PMID: 39190315 PMCID: PMC11441759 DOI: 10.1021/acs.est.4c05612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/28/2024]
Abstract
Epidemiologic evidence has emerged showing an association between exposure to air pollution and increased risks of gestational diabetes mellitus (GDM). This study examines the effect of low-level air pollution exposure on a subclinical biomarker of hyperglycemia (i.e., HbA1c) in pregnant people without diabetes before conception. We measured HbA1c in 577 samples repeatedly collected from 224 pregnant people in Rochester, NY, and estimated residential concentrations of PM2.5 and NO2 using high-resolution spatiotemporal models. We observed a U-shaped trajectory of HbA1c during pregnancy with average HbA1c levels of 5.13 (±0.52), 4.97 (±0.54), and 5.43 (±0.40)% in early-, mid-, and late pregnancy, respectively. After adjustment for the U-shaped trajectory and classic GDM risk factors, each interquartile range increase in 10 week NO2 concentration (8.0 ppb) was associated with 0.09% (95% CI: 0.02 to 0.16%) and 0.18% (95% CI: 0.08 to 0.28%) increases in HbA1c over the entire pregnancy and in late pregnancy, respectively. These associations remained robust among participants without GDM. Using separate distributed lag models, we identified a period between 8th and 14th gestational weeks as critical windows responsible for increased levels of HbA1c measured at 14th, 22nd, and 30th gestational weeks. Our results suggest that low-level air pollution contributes to hyperglycemia in medically low-risk pregnant people.
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Affiliation(s)
- Yan Lin
- Nicholas School of the Environment & Duke Global Health Institute, Duke University, Durham, NC, 27708, USA
| | - Ruoxue Chen
- Nicholas School of the Environment & Duke Global Health Institute, Duke University, Durham, NC, 27708, USA
| | - Yihui Ge
- Nicholas School of the Environment & Duke Global Health Institute, Duke University, Durham, NC, 27708, USA
| | - Brunner Jessica
- Department of Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, NY, 14642, USA
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Philip K. Hopke
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, 14642, USA
- Institute for a Sustainable Environment, Clarkson University, Potsdam, NY, 13699, USA
| | - Richard K. Miller
- Department of Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, NY, 14642, USA
- Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY, 14642, USA
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, 14642, USA
- Department of Pathology and Clinical Laboratory Medicine, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Loralei L. Thornburg
- Department of Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Timothy Stevens
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Emily S. Barrett
- Department of Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, NY, 14642, USA
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, 14642, USA
- Department of Epidemiology and Biostatistics, Environmental and Occupational Health Sciences Institute, Rutgers School of Public Health, Piscataway, NJ, 08854, USA
| | - Donald K. Harrington
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Sally W. Thurston
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY, 14642, USA
- Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Susan K. Murphy
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, 27710, USA
| | - Thomas G. O’Connor
- Department of Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, NY, 14642, USA
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, 14642, USA
- Department of Neuroscience, University of Rochester Medical Center, Rochester, NY, 14642, USA
- Department of Psychology, University of Rochester, Rochester, NY, 14627, USA
| | - David Q. Rich
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, 14642, USA
- Department of Medicine, University of Rochester Medical Center, Rochester, NY, 14642, USA
- Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Junfeng (Jim) Zhang
- Nicholas School of the Environment & Duke Global Health Institute, Duke University, Durham, NC, 27708, USA
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31
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Wang F, Glenn AJ, Tessier AJ, Mei Z, Haslam DE, Guasch-Ferré M, Tobias DK, Eliassen AH, Manson JE, Clish C, Lee KH, Rimm EB, Wang DD, Sun Q, Liang L, Willett WC, Hu FB. Integration of epidemiological and blood biomarker analysis links haem iron intake to increased type 2 diabetes risk. Nat Metab 2024; 6:1807-1818. [PMID: 39138340 DOI: 10.1038/s42255-024-01109-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 07/12/2024] [Indexed: 08/15/2024]
Abstract
Dietary haem iron intake is linked to an increased risk of type 2 diabetes (T2D), but the underlying plasma biomarkers are not well understood. We analysed data from 204,615 participants (79% females) in three large US cohorts over up to 36 years, examining the associations between iron intake and T2D risk. We also assessed plasma metabolic biomarkers and metabolomic profiles in subsets of 37,544 (82% females) and 9,024 (84% females) participants, respectively. Here we show that haem iron intake but not non-haem iron is associated with a higher T2D risk, with a multivariable-adjusted hazard ratio of 1.26 (95% confidence interval 1.20-1.33; P for trend <0.001) comparing the highest to the lowest quintiles. Haem iron accounts for significant proportions of the T2D risk linked to unprocessed red meat and specific dietary patterns. Increased haem iron intake correlates with unfavourable plasma profiles of insulinaemia, lipids, inflammation and T2D-linked metabolites. We also identify metabolites, including L-valine and uric acid, potentially mediating the haem iron-T2D relationship, highlighting their pivotal role in T2D pathogenesis.
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Affiliation(s)
- Fenglei Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Andrea J Glenn
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Anne-Julie Tessier
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Zhendong Mei
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Danielle E Haslam
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Deirdre K Tobias
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - A Heather Eliassen
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - JoAnn E Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Clary Clish
- Metabolomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kyu Ha Lee
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Eric B Rimm
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dong D Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Walter C Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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32
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Zhang Y, Song M, Wang M, Hertzmark E, Wu K, Eliassen AH, Mucci LA, Sun Q, Stampfer MJ, Willett WC, Hu FB, Giovannucci EL. All-cause and cause-specific mortality risk and loss in life expectancy associated with incident type 2 diabetes onset age and duration. J Intern Med 2024; 296:260-279. [PMID: 39021307 DOI: 10.1111/joim.13817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
BACKGROUND Evidence on type 2 diabetes onset age and duration on mortality risk has been limited by short follow-up, inadequate control for confounding, missing repeated measurements, and inability to cover the full range of onset age, duration, and major causes of death. Moreover, scarce data dissect how type 2 diabetes onset age and duration shape life expectancy. METHODS We evaluate prospectively these topics based on 270,075 eligible participants in the Nurses' Health Studies and Health Professionals Follow-up Study, leveraging repeated measurements throughout up to 40 years of follow-up. Cox models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS In fully adjusted analyses, incident early onset type 2 diabetes (diagnosed <40 years of age) was associated with significantly higher mortality from all-causes (HR, 95% CI was 3.16, 2.64-3.79; vs. individuals without type 2 diabetes), cardiovascular disease (6.56, 4.27-10.1), respiratory disease (3.43, 1.38-8.51), neurodegenerative disease (5.13, 2.09-12.6), and kidney disease (8.55, 1.98-36.9). The relative risk elevations declined dramatically with each higher decade of age at diagnosis for deaths from most of these causes, though the absolute risk difference increased continuously. A substantially higher cumulative incidence of mortality and a greater loss in life expectancy were associated with younger age at type 2 diabetes diagnosis. Longer disease duration was associated with generally higher relative and absolute risk of mortality. CONCLUSION Early onset of type 2 diabetes and longer disease duration are associated with substantially increased risk of all-cause and cause-specific mortality and greater loss in life expectancy.
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Affiliation(s)
- Yin Zhang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Mingyang Song
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Molin Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Ellen Hertzmark
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Kana Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - A Heather Eliassen
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Lorelei A Mucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Meir J Stampfer
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Walter C Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Edward L Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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Choi J, Lee H, Kuang A, Huerta-Chagoya A, Scholtens DM, Choi D, Han M, Lowe WL, Manning AK, Jang HC, Park KS, Kwak SH. Genome-Wide Polygenic Risk Score Predicts Incident Type 2 Diabetes in Women With History of Gestational Diabetes. Diabetes Care 2024; 47:1622-1629. [PMID: 38940851 PMCID: PMC11362128 DOI: 10.2337/dc24-0022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 06/07/2024] [Indexed: 06/29/2024]
Abstract
OBJECTIVE Women with a history of gestational diabetes mellitus (GDM) are at increased risk of developing type 2 diabetes (T2D). It remains unclear whether genetic information improves prediction of incident T2D in these women. RESEARCH DESIGN AND METHODS Using five independent cohorts representing four different ancestries (n = 1,895), we investigated whether a genome-wide T2D polygenic risk score (PRS) is associated with increased risk of incident T2D. We also calculated the area under the receiver operating characteristics curve (AUROC) and continuous net reclassification improvement (NRI) following the incorporation of T2D PRS into clinical risk models to assess the diagnostic utility. RESULTS Among 1,895 women with previous history of GDM, 363 (19.2%) developed T2D in a range of 2 to 30 years. T2D PRS was higher in those who developed T2D (-0.08 vs. 0.31, P = 2.3 × 10-11) and was associated with an increased risk of incident T2D (odds ratio 1.52 per 1-SD increase, 95% CI 1.05-2.21, P = 0.03). In a model that includes age, family history of diabetes, systolic blood pressure, and BMI, the incorporation of PRS led to an increase in AUROC for T2D from 0.71 to 0.74 and an intermediate improvement of NRI (0.32, 95% CI 0.15-0.49, P = 3.0 × 10-4). Although there was variation, a similar trend was observed across study cohorts. CONCLUSIONS In cohorts of GDM women with diverse ancestry, T2D PRS was significantly associated with future development of T2D. A significant but small improvement was observed in AUROC when T2D PRS was integrated into clinical risk models to predict incident T2D.
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Affiliation(s)
- Jaewon Choi
- Division of Data Science Research, Innovative Biomedical Technology Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyunsuk Lee
- Department of Internal Medicine, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Translational Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Genomic Medicine Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Alan Kuang
- Department of Preventive Medicine (Biostatistics), Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Alicia Huerta-Chagoya
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA
| | - Denise M. Scholtens
- Department of Preventive Medicine (Biostatistics), Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Daeho Choi
- Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Minseok Han
- Seoul National University College of Medicine, Seoul, Republic of Korea
| | - William L. Lowe
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Alisa K. Manning
- Department of Medicine, Harvard Medical School, Boston, MA
- Metabolism Program, The Broad Institute of MIT and Harvard, Cambridge, MA
- Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA
| | - Hak Chul Jang
- Department of Internal Medicine, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Kyong Soo Park
- Department of Internal Medicine, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Republic of Korea
- Genomic Medicine Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Genomic Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Soo Heon Kwak
- Division of Data Science Research, Innovative Biomedical Technology Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Republic of Korea
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Jung AR, Seo Y, Lee J, Hwang JG, Yun S, Lee DT. Recent Findings on Exercise Therapy for Blood Glucose Management in Patients with Gestational Diabetes. J Clin Med 2024; 13:5004. [PMID: 39274217 PMCID: PMC11396605 DOI: 10.3390/jcm13175004] [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: 07/30/2024] [Revised: 08/19/2024] [Accepted: 08/21/2024] [Indexed: 09/16/2024] Open
Abstract
Inadequate management of blood glucose levels in gestational diabetes mellitus (GDM) poses risks for both pregnant women and the developing fetus. Attaining appropriate blood glucose control is crucial to mitigate potential adverse outcomes. This study aimed to consolidate the latest guidelines from representative professional societies, providing insights into exercise therapy for GDM patients and suggesting potential avenues for future research. The review was conducted with up-to-date exercise guidelines from prominent societies, such as the American College of Obstetricians and Gynecologists (ACOG), the Society of Obstetricians and Gynecologists of Canada (SOGC), the Canadian Society for Exercise Physiology (CSEP), the American College of Sports Medicine, the American Diabetes Association (ADA), and the Korean Diabetes Association. The ACOG and SOGC/CSEP recommend 150 min of low to moderate intensity exercise, 3-4 times a week, combining aerobic and resistance exercises. All guidelines advise against activities involving sudden directional changes, physical contact, a risk of falling, and exercises performed lying down. Despite cautions from the ADA and ACOG on blood glucose fluctuations during physical activity, the lack of specific methods and recommendations from other societies reveals a notable gap in evidence-based guidelines for GDM. For effective and safe blood glucose management in GDM patients, further research should be conducted on the exercise-related precautions outlined for GDM patients. Establishing ample evidence would facilitate the development of customized exercise guidelines for GDM patients.
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Affiliation(s)
- Ah Reum Jung
- Exercise Physiology Laboratory, Kookmin University, Seoul 02707, Republic of Korea
| | - Yongsuk Seo
- Exercise Physiology Laboratory, Kookmin University, Seoul 02707, Republic of Korea
| | - Jooyoung Lee
- Exercise Physiology Laboratory, Kookmin University, Seoul 02707, Republic of Korea
| | - Jae Gu Hwang
- Exercise Physiology Laboratory, Kookmin University, Seoul 02707, Republic of Korea
| | - Somi Yun
- Exercise Physiology Laboratory, Kookmin University, Seoul 02707, Republic of Korea
| | - Dae Taek Lee
- Exercise Physiology Laboratory, Kookmin University, Seoul 02707, Republic of Korea
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35
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Aung NL. Plasma Glucose. Clin Diabetes 2024; 42:574-578. [PMID: 39429450 PMCID: PMC11486848 DOI: 10.2337/cd24-0074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2024]
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Naeh A, Maor-Sagie E, Hallak M, Toledano Y, Gabbay-Benziv R. Greater risk of type 2 diabetes progression in multifetal gestations with gestational diabetes: the impact of obesity. Am J Obstet Gynecol 2024; 231:259.e1-259.e10. [PMID: 38360449 DOI: 10.1016/j.ajog.2023.11.1246] [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: 08/31/2023] [Revised: 11/20/2023] [Accepted: 11/21/2023] [Indexed: 02/17/2024]
Abstract
BACKGROUND The relationship between gestational diabetes mellitus and adverse outcomes in multifetal pregnancies is complex and controversial. Moreover, limited research has focused on the risk of gestational diabetes mellitus progression to type 2 diabetes mellitus specifically in multifetal pregnancies, resulting in conflicting results from existing studies. OBJECTIVE This study aimed to assess the risk of gestational diabetes mellitus progression to type 2 diabetes mellitus between singleton and multifetal pregnancies in a large cohort of parturients with a 5-year follow-up. STUDY DESIGN A retrospective study was conducted on a prospective cohort of pregnant individuals with pregnancies between January 1, 2017, and December 31, 2020, followed up to 5 years after delivery. Glucose levels during pregnancy were obtained from the Meuhedet Health Maintenance Organization laboratory system and cross-linked with the Israeli National Diabetes Registry. The cohort was divided into 4 groups: singleton pregnancy without gestational diabetes mellitus, singleton pregnancy with gestational diabetes mellitus, multifetal pregnancy without gestational diabetes mellitus, and multifetal pregnancy with gestational diabetes mellitus. Gestational diabetes mellitus was defined according to the American Diabetes Association criteria using the 2-step strategy. Univariate analyses, followed by survival analysis that included Kaplan-Meier hazard curves and Cox proportional-hazards models, were used to assess differences between groups and calculate the adjusted hazard ratios with 95% confidence intervals for progression to type 2 diabetes mellitus. RESULTS Among 88,611 parturients, 61,891 cases met the inclusion criteria. The prevalence of type 2 diabetes mellitus was 6.5% in the singleton pregnancy with gestational diabetes mellitus group and 9.4% in the multifetal pregnancy with gestational diabetes mellitus group. Parturients with gestational diabetes mellitus, regardless of plurality, were older and had higher fasting plasma glucose levels in the first trimester of pregnancy. The rates of increased body mass index, hypertension, and earlier gestational age at delivery were significantly higher in the gestational diabetes mellitus group among patients with singleton pregnancies but not among patients with multifetal pregnancies. Survival analysis demonstrated that gestational diabetes mellitus was associated with adjusted hazard ratios of type 2 diabetes mellitus of 4.62 (95% confidence interval, 3.69-5.78) in singleton pregnancies and 9.26 (95% confidence interval, 2.67-32.01) in multifetal pregnancies (P<.001 for both). Stratified analysis based on obesity status revealed that, in parturients without obesity, gestational diabetes mellitus in singleton pregnancies increased the risk of type 2 diabetes mellitus by 10.24 (95% confidence interval, 6.79-15.44; P<.001) compared with a nonsignificant risk in multifetal pregnancies (adjusted hazard ratio, 9.15; 95% confidence interval, 0.92-90.22; P=.059). Among parturients with obesity, gestational diabetes mellitus was associated with an increased risk of type 2 diabetes mellitus for both singleton and multifetal pregnancies (adjusted hazard ratio, 3.66; [95% confidence interval, 2.81-4.67; P<.001] and 9.31 [95% confidence interval, 2.12-40.76; P=.003], respectively). CONCLUSION Compared with gestational diabetes mellitus in singleton pregnancies, gestational diabetes mellitus in multifetal pregnancies doubles the risk of progression to type 2 diabetes mellitus. This effect is primarily observed in patients with obesity. Our findings underscore the importance of providing special attention and postpartum follow-up for patients with multifetal pregnancies and gestational diabetes mellitus, especially those with obesity, to enable early diagnosis and intervention for type 2 diabetes mellitus.
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Affiliation(s)
- Amir Naeh
- Department of Obstetrics and Gynecology, Hillel Yaffe Medical Center, Hadera, Israel; The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
| | - Esther Maor-Sagie
- Department of Obstetrics and Gynecology, Hillel Yaffe Medical Center, Hadera, Israel; The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel; Meuhedet Health Maintenance Organization, Haifa, Israel
| | - Mordechai Hallak
- Department of Obstetrics and Gynecology, Hillel Yaffe Medical Center, Hadera, Israel; The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel; Meuhedet Health Maintenance Organization, Haifa, Israel
| | - Yoel Toledano
- Department of Obstetrics and Gynecology, Hillel Yaffe Medical Center, Hadera, Israel; The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel; Meuhedet Health Maintenance Organization, Haifa, Israel
| | - Rinat Gabbay-Benziv
- Department of Obstetrics and Gynecology, Hillel Yaffe Medical Center, Hadera, Israel; The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
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Alkan AA, Arslan B, Özcan D, Tekin K. Serum neopterin and orexin-A levels in different stages of diabetic retinopathy. Clin Exp Optom 2024:1-7. [PMID: 39009974 DOI: 10.1080/08164622.2024.2374875] [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: 05/24/2023] [Accepted: 06/25/2024] [Indexed: 07/17/2024] Open
Abstract
CLINICAL RELEVANCE Retinopathy is one of the most common microvascular complications of diabetes mellitus and is the leading cause of vision loss in the working middle-aged population. BACKGROUND This study aimed to investigate the value of neopterin and orexin-A levels in patients with diabetes mellitus with different stages of diabetic retinopathy and without diabetic retinopathy and to compare those findings with results from healthy individuals without diabetes mellitus. METHODS In total, 65 patients with type 2 diabetes mellitus and 22 healthy individuals without diabetes mellitus were enrolled in this prospective study. The participants were separated into four subgroups. The first subgroup included 25 patients without diabetic retinopathy, the second subgroup included 20 patients non-proliferative diabetic retinopathy, the third subgroup included 20 patients with proliferative diabetic retinopathy, and the fourth subgroup included 22 healthy individuals without diabetes mellitus as controls. Serum neopterin and orexin-A levels were analysed and compared among the groups. RESULTS The age and gender of the participants between the four subgroups were not statistically significantly different (p > 0.05). The mean neopterin levels were significantly higher in patients included in the diabetes mellitus subgroups compared with the controls (p < 0.001). Neopterin levels significantly increased as diabetic retinopathy progressed within the diabetes mellitus subgroups. Mean orexin-A levels were significantly lower in the diabetes mellitus subgroups compared with the controls (p < 0.001); however, orexin-A levels were not significantly different within the diabetes mellitus subgroups (p > 0.05). CONCLUSION Patients with diabetes mellitus have higher serum neopterin and lower serum orexin-A levels compared with healthy individuals without diabetes mellitus. Moreover, serum neopterin levels increase with progression of diabetic retinopathy.
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Affiliation(s)
| | - Burak Arslan
- Department of Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Delil Özcan
- Ophthalmology Department, Seyrantepe Hamidiye Etfal Training and Research Hospital, Istanbul, Turkey
| | - Kemal Tekin
- Ophthalmology Department, Ulucanlar Eye Training and Research Hospital, Ankara, Turkey
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Wang T, Chai B, Chen WY, Holmes MD, Erdrich J, Hu FB, Rosner BA, Tamimi RM, Willett WC, Kang JH, Eliassen AH. Metformin and other anti-diabetic medication use and breast cancer incidence in the Nurses' Health Studies. Int J Cancer 2024; 155:211-225. [PMID: 38520039 PMCID: PMC11096056 DOI: 10.1002/ijc.34917] [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: 10/31/2023] [Revised: 02/13/2024] [Accepted: 02/20/2024] [Indexed: 03/25/2024]
Abstract
We aimed to examine the association between the use of metformin and other anti-diabetic medications and breast cancer incidence within two large prospective cohort studies. We followed 185,181 women who participated in the Nurses' Health Study (NHS; 1994-2016) and the NHSII (1995-2017), with baseline corresponding to the date metformin was approved for type 2 diabetes (T2D) treatment in the US Information on T2D diagnosis, anti-diabetes medications, and other covariates was self-reported at baseline and repeatedly assessed by follow-up questionnaires every 2 years. Breast cancer cases were self-reported and confirmed by medical record review. Hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between medication use and breast cancer were estimated using Cox proportional hazards regression models, adjusting for breast cancer risk factors. During 3,324,881 person-years of follow-up, we ascertained 9,192 incident invasive breast cancer cases, of which 451 were among women with T2D. Compared with women without T2D (n = 169,263), neither metformin use (HR = 0.97; 95% CI = 0.81-1.15) nor other anti-diabetic medications use (HR = 1.11; 95% CI = 0.90-1.36) associated with significantly lower breast cancer incidence. Among women with T2D (n = 15,918), compared with metformin never users, metformin ever use was not significantly inversely associated with breast cancer (HR = 0.92; 95% CI = 0.74-1.15). Although we observed that past use of metformin was inversely associated with breast cancer in the T2D population (HR = 0.67; 95% CI = 0.48-0.94), current use (HR = 1.01; 95% CI = 0.80-1.27) and longer duration of metformin use were not associated with breast cancer (each 2-year interval: HR = 1.01; 95% CI = 0.95-1.07). Overall, metformin use was not associated with the risk of developing breast cancer among the overall cohort population or among women with T2D.
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Affiliation(s)
- Tengteng Wang
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ
- Division of Medical Oncology, Robert Wood Johnson Medical School, New Brunswick, NJ
- Channing Division of Network Medicine, Brigham & Women’s Hospital, Boston, MA
| | - Boyang Chai
- Channing Division of Network Medicine, Brigham & Women’s Hospital, Boston, MA
| | - Wendy Y. Chen
- Channing Division of Network Medicine, Brigham & Women’s Hospital, Boston, MA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Michelle D. Holmes
- Channing Division of Network Medicine, Brigham & Women’s Hospital, Boston, MA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
| | | | - Frank B. Hu
- Channing Division of Network Medicine, Brigham & Women’s Hospital, Boston, MA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Bernard A. Rosner
- Channing Division of Network Medicine, Brigham & Women’s Hospital, Boston, MA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Rulla M. Tamimi
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY
| | - Walter C. Willett
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Jae H. Kang
- Channing Division of Network Medicine, Brigham & Women’s Hospital, Boston, MA
| | - A. Heather Eliassen
- Channing Division of Network Medicine, Brigham & Women’s Hospital, Boston, MA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA
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Musa OAH, Syed A, Khatib MA, Hamdan A, Hub Allah A, Almahdi H, Onitilo AA, Sheehan MT, Beer SF, Bashir M, Abou-Samra AB, Doi SA. Time to Move Beyond a Binary Criterion for Gestational Diabetes? Reprod Sci 2024; 31:2073-2079. [PMID: 38485893 DOI: 10.1007/s43032-024-01514-x] [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: 12/30/2023] [Accepted: 03/01/2024] [Indexed: 07/03/2024]
Abstract
Over the years, several international guidelines have been developed by specialist organizations for the diagnosis of gestational diabetes mellitus (GDM). However, these guidelines vary and lack consensus on what level of glycemia defines GDM and worryingly, there is now evidence of over- or- under-diagnosis of women with GDM by current criteria. Towards this end, the National Priorities Research Program (NPRP) funded a program of research aimed at elucidating the problem with GDM diagnosis. It was determined, on completion of the project, that the solution required diagnosis of graded levels of dysglycemia in pregnancy and not just a diagnosis of presence or absence of GDM. A new diagnostic criterion (called the NPRP criterion) was created based on a single numerical summary of the three readings from the oral glucose tolerance test (GTT) that diagnosed women in pregnancy into four levels: normal, impaired, GDM and high risk GDM. This paper now examines existing GDM criteria vis-à-vis the NPRP criterion. It is noted that no significant change has happened over the years for existing criteria except for a gradual reduction in the threshold values of individual time-points or the number of time points, bringing us towards over-diagnosis of GDM in pregnancy. The new criterion unifies all readings from the GTT into one numerical value and, because it results in four levels of glycemia, represents a new way forwards for GDM diagnosis and can potentially reduce the rates of under diagnosis and over diagnosis of GDM.
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Affiliation(s)
- Omran A H Musa
- Department of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar
| | - Asma Syed
- Department of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar
| | - Malkan A Khatib
- Department of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar
| | - Ahmad Hamdan
- Department of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar
| | - Amrou Hub Allah
- Department of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar
| | - Hamad Almahdi
- Department of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar
| | | | - Michael T Sheehan
- Department of Endocrinology, Marshfield Clinic Health System-Weston Center, Weston, WI, USA
| | - Stephen F Beer
- Division of Endocrinology and Qatar Metabolic Institute, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar
| | - Mohamed Bashir
- Division of Endocrinology and Qatar Metabolic Institute, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar
| | - Abdul-Badi Abou-Samra
- Division of Endocrinology and Qatar Metabolic Institute, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar
| | - Suhail A Doi
- Department of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.
- Department of Population Medicine, College of Medicine, Clinical Epidemiology and Clinical Endocrinology, Qatar University, Doha, Qatar.
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Balak BK, Anaforoglu B. Examination time-distance characteristics of gait and pelvic kinematics in individuals with Diabetic polyneuropathy: a case-control study. Neurol Res 2024:1-6. [PMID: 38916096 DOI: 10.1080/01616412.2024.2367938] [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: 02/05/2024] [Accepted: 06/09/2024] [Indexed: 06/26/2024]
Abstract
BACKGROUND Diabetic Peripheral Neuropathy (DPN) disrupts body and movement biomechanics, increases mechanical stress during walking, and predisposes individuals to injuries owing to the repetitive effects of these stresses. AIMS This study aimed to assess and compare the impact of neuropathy on gait and pelvic kinematics in individuals with DPN. METHODS This case-control study included two groups: 23 individuals diagnosed with DPN aged between 35-70 and 23 healthy individuals aged-35-70. The BTS-G, a wireless motion sensor, was used to assess the time-distance characteristics of walking in all participants. The system analyzed data pertaining to walking speed, cadence, percentages of stance and swing phases, durations of walking cycles, double-step lengths, pelvic tilt, obliquity, and rotation symmetries. RESULTS There were no statistically significant differences between the groups in cadence, left and right stance phase percentages, or left and right swing phase percentages (p > 0.05). However, significant differences were observed between the groups in terms of speed, left and right walking cycle durations, and left and right double-step lengths (p < 0.05). Additionally, no statistically significant difference was found between the groups in pelvic tilt symmetry and left and right pelvic tilt range of motion values (p > 0.05). Nevertheless, significant differences were identified between the groups in pelvic obliquity symmetry, pelvic rotation symmetry, left and right pelvic obliquity range of motion, and left and right pelvic rotation range of motion values (p < 0.05). CONCLUSIONS The findings of this study suggest that individuals with DPN exhibit decreased walking speed, prolonged gait cycle duration, increased double step length, and reduced pelvic obliquity and rotation range of motion.
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Affiliation(s)
- Büşra Kalkan Balak
- Department of Physiotherapy and Rehabilitation, Yuksek Ihtisas University Faculty of Health Sciences, Ankara, Türkiye
| | - Bahar Anaforoglu
- Department of Physiotherapy and Rehabilitation, Ankara Yildirim Beyazit University Faculty of Health Sciences, Ankara, Türkiye
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Foo RX, Ma JJ, Du R, Goh GBB, Chong YS, Zhang C, Li LJ. Gestational diabetes mellitus and development of intergenerational non-alcoholic fatty liver disease (NAFLD) after delivery: a systematic review and meta-analysis. EClinicalMedicine 2024; 72:102609. [PMID: 38707911 PMCID: PMC11067479 DOI: 10.1016/j.eclinm.2024.102609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 03/30/2024] [Accepted: 04/05/2024] [Indexed: 05/07/2024] Open
Abstract
Background It is known that gestational diabetes mellitus (GDM)-complicated pregnancies could affect maternal cardiometabolic health after delivery, resulting in hepatic dysfunction and a heightened risk of developing non-alcoholic fatty liver disease (NAFLD). Hence, this study aims to summarise existing literature on the impact of GDM on NAFLD in mothers and investigate the intergenerational impact on NAFLD in offspring. Methods Using 4 databases (PubMed, Embase, Web of Science and Scopus) between January 1980 and December 2023, randomized controlled trials and observational studies that assessed the effect of maternal GDM on intergenerational liver outcomes were extracted and analysed using random-effects meta-analysis to investigate the effect of GDM on NAFLD in mothers and offspring. Pooled odds ratio (OR) was calculated using hazards ratio (HR), relative risk (RR), or OR reported from each study, with corresponding 95% confidence intervals (CI), and statistical heterogeneity was assessed with the Cochran Q-test and I2 statistic, with two-sided p values. The study protocol was pre-registered on PROSPERO (CRD42023392428). Findings Twenty studies pertaining to mothers and offspring met the inclusion criteria and 12 papers were included further for meta-analysis on intergenerational NAFLD development. Compared with mothers without a history of GDM, mothers with a history of GDM had a 50% increased risk of developing NAFLD (OR 1.50; 95% CI: 1.21-1.87, over a follow-up period of 16 months-25 years. Similarly, compared with offspring born to non-GDM-complicated pregnancies, offspring born to GDM-complicated pregnancies displayed an approximately two-fold elevated risk of NAFLD development (2.14; 1.57-2.92), over a follow-up period of 1-17.8 years. Interpretation This systematic review and meta-analysis suggests that both mothers and offspring from GDM-complicated pregnancies exhibit a greater risk to develop NAFLD. These findings underline the importance of early monitoring of liver function and prompt intervention of NAFLD in both generations from GDM-complicated pregnancies. Funding No funding was available for this research.
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Affiliation(s)
- Ru Xun Foo
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jenny Junyi Ma
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Ruochen Du
- Statistics Unit, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - George Boon Bee Goh
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore
- Medicine Academic Clinical Program, Duke-NUS Medical School, Singapore
| | - Yap Seng Chong
- Department of O&G, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Cuilin Zhang
- Department of O&G, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Ling-Jun Li
- Department of O&G, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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Li Y, Huang T, Redline S, Willett WC, Manson JE, Schernhammer ES, Hu FB. Use of melatonin supplements and risk of type 2 diabetes and cardiovascular diseases in the USA: insights from three prospective cohort studies. Lancet Diabetes Endocrinol 2024; 12:404-413. [PMID: 38710189 PMCID: PMC11500835 DOI: 10.1016/s2213-8587(24)00096-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 03/19/2024] [Accepted: 03/21/2024] [Indexed: 05/08/2024]
Abstract
BACKGROUND Use of melatonin supplements has been increasing substantially in both children and adults in the USA; however, their long-term cardiometabolic effects remain unclear. We aimed to assess the associations between regular use of melatonin supplements and the risk of developing type 2 diabetes or cardiovascular disease in adults. METHODS In this study, we included individuals from three US cohorts: the Nurses' Health Study (women only), the Health Professionals Follow-up Study (men only), and the Nurses' Health Study II (women only). Women aged 25-55 years and men aged 45-75 years at baseline, who had no diagnosis of cancer at baseline, and who responded to the question about melatonin supplement use (yes or no) were included. We excluded baseline prevalent cardiovascular disease and baseline prevalent type 2 diabetes for the main analyses. The main outcomes were cardiovascular disease and type 2 diabetes incidence. In secondary analyses, we stratified by duration of rotating night shift work in the Nurses' Health Study and Nurses' Health Study II to examine whether the associations with melatonin supplement use differed by rotating night shift work. FINDINGS For the cardiovascular disease analysis, we included 67 202 women from the Nurses' Health Study (follow-up 1998-2019, mean age at baseline: 63·6 years [SD 7·1]), 26 629 men from the Health Professionals Follow-up Study (1998-2020, 62·9 years [8·8], and 65 241 women from the Nurses' Health Study II (2003-19, 48·2 years [4·7]). Follow-up for incident type 2 diabetes was from 1998 to June 30, 2021, for the Nurses' Health Study; 2003 to Jan 31, 2023, for the Nurses' Health Study II; and from 1998 to Jan 31, 2020, for the Health Professionals' Follow-up Study. Melatonin supplement use in the study cohorts doubled over recent decades from less than 2% in 1998-2007 to 4% or higher in 2014-15 (4·0% in men and 5·3% in women). We documented 16 917 incident cardiovascular disease events during 2 609 068 person-years of follow-up and 12 730 incident cases of type 2 diabetes during 2 701 830 person-years of follow-up. In a pooled analysis of the three cohorts, comparing users with non-users of melatonin supplements, the pooled multivariable-adjusted hazard ratios were 0·94 (95% CI 0·83-1·06, p=0·32) for cardiovascular disease and 0·98 (0·86-1·12, p=0·80) for type 2 diabetes. In secondary analyses, melatonin supplement use appeared to attenuate the positive association between long-term shift work (>5 years) and risk of cardiovascular disease (pinteraction=0·013) among the female nurses. INTERPRETATION With up to 23 years of follow-up of three large prospective cohorts of middle-aged and older men and women, self-reported melatonin supplement use was not associated with risk of type 2 diabetes or cardiovascular disease. Further research is warranted to assess if melatonin supplement use could mitigate the potential risks of type 2 diabetes and cardiovascular disease associated with rotating night shift work. FUNDING US National Institutes of Health.
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Affiliation(s)
- Yanping Li
- Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA; Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA.
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Susan Redline
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA; Division of Sleep and Circadian Disorders, Department of Medicine and Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Walter C Willett
- Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - JoAnn E Manson
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Eva S Schernhammer
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Center for Public Health, Medical University of Vienna, Austria
| | - Frank B Hu
- Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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Gázquez A, García-Serna AM, Hernández-Caselles T, Martín-Orozco E, Cantero-Cano E, Prieto-Sánchez MT, Molina-Ruano MD, Castillo-Lacalle R, Vioque J, Morales E, García-Marcos L, Larqué E. Plasma polyamines during pregnancy and their relationships with maternal allergies and the immune response of the neonates. Pediatr Allergy Immunol 2024; 35:e14167. [PMID: 38860435 DOI: 10.1111/pai.14167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 04/22/2024] [Accepted: 05/13/2024] [Indexed: 06/12/2024]
Abstract
BACKGROUND Some studies have reported that polyamine levels may influence immune system programming. The aim of this study was to evaluate the polyamine profile during gestation and its associations with maternal allergy and cytokine production in cord blood cells in response to different allergenic stimuli. METHODS Polyamines were determined in plasma of pregnant women (24 weeks, N = 674) and in umbilical cord samples (N = 353 vein and N = 160 artery) from the Mediterranean NELA birth cohort. Immune cell populations were quantified, and the production of cytokines in response to different allergic and mitogenic stimuli was assessed in cord blood. RESULTS Spermidine and spermine were the most prevalent polyamines in maternal, cord venous, and cord arterial plasma. Maternal allergies, especially allergic conjunctivitis, were associated with lower spermine in umbilical cord vein. Higher levels of polyamines were associated with higher lymphocyte number but lower Th2-related cells in cord venous blood. Those subjects with higher levels of circulating polyamines in cord showed lower production of inflammatory cytokines, especially IFN-α, and lower production of Th2-related cytokines, mainly IL-4 and IL-5. The effects of polyamines on Th1-related cytokines production were uncertain. CONCLUSIONS Spermidine and spermine are the predominant polyamines in plasma of pregnant women at mid-pregnancy and also in umbilical cord. Maternal allergic diseases like allergic conjunctivitis are related to lower levels of polyamines in cord vein, which could influence the immune response of the newborn. Cord polyamine content is related to a decreased Th2 response and inflammatory cytokines production, which might be important to reduce an allergenic phenotype in the neonate.
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Affiliation(s)
- Antonio Gázquez
- Biomedical Research Institute of Murcia (IMIB-Arrixaca), Murcia, Spain
- Department of Physiology, University of Murcia, Murcia, Spain
| | - Azahara M García-Serna
- Biomedical Research Institute of Murcia (IMIB-Arrixaca), Murcia, Spain
- Department of Public Health Sciences, University of Murcia, Murcia, Spain
| | - Trinidad Hernández-Caselles
- Biomedical Research Institute of Murcia (IMIB-Arrixaca), Murcia, Spain
- Department of Biochemistry and Molecular Biology B and Immunology, Faculty of Medicine, University of Murcia, Murcia, Spain
- Network of Asthma and Adverse and Allergic Reactions (ARADyAL), Madrid, Spain
| | - Elena Martín-Orozco
- Biomedical Research Institute of Murcia (IMIB-Arrixaca), Murcia, Spain
- Department of Biochemistry and Molecular Biology B and Immunology, Faculty of Medicine, University of Murcia, Murcia, Spain
- Network of Asthma and Adverse and Allergic Reactions (ARADyAL), Madrid, Spain
| | | | - María T Prieto-Sánchez
- Biomedical Research Institute of Murcia (IMIB-Arrixaca), Murcia, Spain
- Obstetrics & Gynaecology Service, "Virgen de la Arrixaca" University Clinical Hospital, University of Murcia, Murcia, Spain
| | - María D Molina-Ruano
- Obstetrics & Gynaecology Service, "Virgen de la Arrixaca" University Clinical Hospital, University of Murcia, Murcia, Spain
| | - Rafaela Castillo-Lacalle
- Obstetrics & Gynaecology Service, "Virgen de la Arrixaca" University Clinical Hospital, University of Murcia, Murcia, Spain
| | - Jesús Vioque
- Health and Biomedical Research Institute of Alicante (ISABIAL-UMH), Alicante, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Eva Morales
- Biomedical Research Institute of Murcia (IMIB-Arrixaca), Murcia, Spain
- Department of Public Health Sciences, University of Murcia, Murcia, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Luís García-Marcos
- Biomedical Research Institute of Murcia (IMIB-Arrixaca), Murcia, Spain
- Network of Asthma and Adverse and Allergic Reactions (ARADyAL), Madrid, Spain
| | - Elvira Larqué
- Biomedical Research Institute of Murcia (IMIB-Arrixaca), Murcia, Spain
- Department of Physiology, University of Murcia, Murcia, Spain
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Ben Abdelhanin M. The glucose tolerance peak parameter revisited. Definition for a novel use in Gestational Diabetes Mellitus confirmation. J Diabetes Metab Disord 2024; 23:1351-1357. [PMID: 38932791 PMCID: PMC11196505 DOI: 10.1007/s40200-024-01432-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 03/31/2024] [Indexed: 06/28/2024]
Abstract
Aims This study aimed to establish a decisive threshold for the Glucose Tolerance peak (GTp) parameter in diagnosing Gestational Diabetes Mellitus (GDM) and to assess its diagnostic efficacy in comparison with other commonly employed indexes in clinical practice. Materials and methods Conducted as a prospective observational cohort, the study enrolled 92 pregnant women between 24-28 weeks of gestation, who underwent an Oral glucose Tolerance Test (OGTT) 100 gr. following a positive O'Sullivan screening at La Paz University Hospital. An additional 30-min sample was incorporated to assess the insulin response dynamics during hyperglycaemia. Basal indices and those derived from the OGTT 100 gr. test were computed. Receiver Operating Characteristic (ROC) curves were utilized to determine the optimal cut-off points for the indexes derived from the OGTT. Informed written consent was obtained from all participants. Results Significantly greater glucose tolerance, as indicated by GTp, was observed in the Non-Gestational Diabetes (NTG) pregnant group (p < 0.01). The GTp emerged as the parameter with the highest positive predictive value for GDM diagnosis. A cut-off of < 0.36 demonstrated 100% specificity and 75% sensitivity in diagnosing GDM. Conclusions GTp, an index derived exclusively from the OGTT peak glycaemia, proves valuable in confirming the presence of GDM. The GTp could be used to confirm the presence of GDM under necessity of a second OGTT as test confirmation in pregnant woman. A cut-off of < 0. 36 has a specificity of 100% and a sensitivity of 75% for the diagnosis of GDM.
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Affiliation(s)
- Myriam Ben Abdelhanin
- Present Address: Department of Clinical Chemistry, Verviers East Belgium Hospital, Rue de Parc 27, Verviers, CP 4800 Belgium
- Department of Clinical Chemistry, La Paz University Hospital, Paseo de la Castellana, 279, Madrid, CP28046 Spain
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Huang T, Zhu Y, Shutta KH, Balasubramanian R, Zeleznik OA, Rexrode KM, Clish CB, Sun Q, Hu FB, Kubzansky LD, Hankinson SE. A Plasma Metabolite Score Related to Psychological Distress and Diabetes Risk: A Nested Case-control Study in US Women. J Clin Endocrinol Metab 2024; 109:e1434-e1441. [PMID: 38092374 PMCID: PMC11549765 DOI: 10.1210/clinem/dgad731] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Indexed: 05/18/2024]
Abstract
CONTEXT Psychological distress has been linked to diabetes risk. Few population-based, epidemiologic studies have investigated the potential molecular mechanisms (eg, metabolic dysregulation) underlying this association. OBJECTIVE To evaluate the association between a metabolomic signature for psychological distress and diabetes risk. METHODS We conducted a nested case-control study of plasma metabolomics and diabetes risk in the Nurses' Health Study, including 728 women (mean age: 55.2 years) with incident diabetes and 728 matched controls. Blood samples were collected between 1989 and 1990 and incident diabetes was diagnosed between 1992 and 2008. Based on our prior work, we calculated a weighted plasma metabolite-based distress score (MDS) comprised of 19 metabolites. We used conditional logistic regression accounting for matching factors and other diabetes risk factors to estimate odds ratios (OR) and 95% confidence intervals (CI) for diabetes risk according to MDS. RESULTS After adjusting for sociodemographic factors, family history of diabetes, and health behaviors, the OR (95% CI) for diabetes risk across quintiles of the MDS was 1.00 (reference) for Q1, 1.16 (0.77, 1.73) for Q2, 1.30 (0.88, 1.91) for Q3, 1.99 (1.36, 2.92) for Q4, and 2.47 (1.66, 3.67) for Q5. Each SD increase in MDS was associated with 36% higher diabetes risk (95% CI: 1.21, 1.54; P-trend <.0001). This association was moderately attenuated after additional adjustment for body mass index (comparable OR: 1.17; 95% CI: 1.02, 1.35; P-trend = .02). The MDS explained 17.6% of the association between self-reported psychological distress (defined as presence of depression or anxiety symptoms) and diabetes risk (P = .04). CONCLUSION MDS was significantly associated with diabetes risk in women. These results suggest that differences in multiple lipid and amino acid metabolites may underlie the observed association between psychological distress and diabetes risk.
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Affiliation(s)
- Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Yiwen Zhu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Katherine H Shutta
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Raji Balasubramanian
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003, USA
| | - Oana A Zeleznik
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Kathryn M Rexrode
- Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA
| | - Clary B Clish
- Broad Institute of MIT and Harvard, Boston, MA 02142, USA
| | - Qi Sun
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Frank B Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Laura D Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003, USA
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Yefet E, Jeda E, Yossef A, Massalha M, Tzur A, Nachum Z. Risk for fetal malformations and unfavorable neonatal outcomes in early-onset gestational diabetes mellitus. J Endocrinol Invest 2024; 47:1181-1190. [PMID: 38042766 DOI: 10.1007/s40618-023-02238-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 11/01/2023] [Indexed: 12/04/2023]
Abstract
BACKGROUND Early-onset gestational diabetes mellitus (GDM) is diagnosed before the 24th gestational week. Since early GDM is associated with first trimester hyperglycemia, many clinicians treat these women as having pre-GDM. However, whether early GDM increases the risk for unfavorable pregnancy outcomes and particularly for fetal malformations to a greater extent than late-onset GDM were not studied sufficiently. We aimed to examine the effect of early-onset GDM on unfavorable pregnancy outcomes. METHODS A retrospective cohort study of women with GDM delivering singletons during 2005-2018 was conducted. Women were divided into GDM diagnosed at the first (Trimester1; up to 13.6 weeks; N = 117), the second (Trimester2; up to 23.6 weeks; N = 126), and the third trimester (Trimester3; N = 2334). The primary outcomes were neonatal malformations and a composite of large-for-age newborns, hypoglycemia and hyperbilirubinemia treated with phototherapy. Comparisons were made between early- (Trimester1 + Trimester2-groups) and late-onset GDM (Trimester3-group), and between the three trimesters. RESULTS Fetal malformations were low and comparable between the trimester1, trimester2, trimester3 groups (2 (1.7%), 3 (2.4%), and 110 (4.7%), respectively). The composite neonatal complications was similar between the groups (68 (58%), 58 (46%), and 1087 (47%), respectively). In early-onset, the rates of neonatal hypoglycemia and shoulder dystocia were higher than in the late-onset GDM group (OR 95% CI 3.5 [2.0-6.1] and 10.3 [2.4-44.6], respectively). Macrosomia was higher in trimester1 compared with trimester2 and trimester3 cohorts (OR 95% CI 5.3 [1.7-16.9] and 2.8 [1.5-5.2], respectively). CONCLUSIONS The risk for fetal malformations was low and comparable between the first, second and third trimester GDM. Since the risks for macrosomia, shoulder dystocia, and neonatal hypoglycemia are higher in early-onset GDM, these women should undergo strict glycemic control, intensive monitoring, and careful neonatal evaluation.
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Affiliation(s)
- E Yefet
- Department of Obstetrics and Gynecology, Tzafon Medical Center, Poriya, Israel
- Women's Health Center, Clalit Health Services, Afula, Israel
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - E Jeda
- Department of Obstetrics and Gynecology, Emek Medical Center, Afula, Israel
| | - A Yossef
- Department of Obstetrics and Gynecology, Emek Medical Center, Afula, Israel
| | - M Massalha
- Department of Obstetrics and Gynecology, Emek Medical Center, Afula, Israel.
- Rappaport Faculty of Medicine, Technion, Haifa, Israel.
| | - A Tzur
- Department of Obstetrics and Gynecology, Emek Medical Center, Afula, Israel
| | - Z Nachum
- Department of Obstetrics and Gynecology, Emek Medical Center, Afula, Israel
- Rappaport Faculty of Medicine, Technion, Haifa, Israel
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Das D, Christie HE, Hegazi M, Takawy M, Pone KA, Vella A, Egan AM. Twin Pregnancy Complicated by Gestational Diabetes Mellitus: Maternal and Neonatal Outcomes. J Endocr Soc 2024; 8:bvae075. [PMID: 38698871 PMCID: PMC11065348 DOI: 10.1210/jendso/bvae075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Indexed: 05/05/2024] Open
Abstract
Context The risk of gestational diabetes mellitus (GDM) in twin pregnancies is more than double that of singleton pregnancies. Although twin pregnancies present unique challenges for fetal growth and prenatal management, the approach to GDM diagnosis and treatment is the same regardless of plurality. Data on pregnancy outcomes for individuals with GDM and a twin pregnancy are limited and conflicting. Objective To describe the maternal characteristics associated with GDM in twin pregnancies and to assess the associated pregnancy outcomes compared to twin pregnancies unaffected by GDM. Methods A retrospective cohort study was conducted at Mayo Clinic, Rochester, Minnesota, USA, and included predominantly Causasian women aged 18 to 45 years who received prenatal care for a twin pregnancy from 2017-2022. Maternal characteristics and a broad spectrum of pregnancy outcomes were evaluated. Universal GDM screening involved a 50 g oral glucose challenge test +/- a 100 g oral glucose tolerance test. Results GDM was diagnosed in 23% pregnancies (n = 104/452). Compared to those without, women with GDM had known risk factors including a higher prepregnancy body mass index (31.1vs 26.3 kg/m2; P < .01) and a prior history of GDM (21.7 vs 5.9%; P < .01). There were no differences in maternal pregnancy complications or neonatal outcomes between groups. Attendance at postpartum glucose testing among women with GDM was poor at 27.9% (29/104). Conclusion These data suggest that women with twin pregnancies share a similar GDM risk profile to those with singleton pregnancies and provide reassuring evidence that current management for GDM twin pregnancies produces similar outcomes to twin pregnancies without GDM.
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Affiliation(s)
- Devika Das
- Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Hannah E Christie
- Department of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, MN 55905, USA
| | - Moustafa Hegazi
- Department of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, MN 55905, USA
| | - Marina Takawy
- Department of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, MN 55905, USA
| | - Karina A Pone
- Division of Maternal and Fetal Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Adrian Vella
- Department of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, MN 55905, USA
| | - Aoife M Egan
- Department of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, MN 55905, USA
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Mehmood S, Ye C, Hanley AJ, Connelly PW, Sermer M, Zinman B, Retnakaran R. Impact of the diagnosis of gestational diabetes on maternal physical activity after pregnancy. Diabetes Obes Metab 2024; 26:1207-1215. [PMID: 38116699 DOI: 10.1111/dom.15415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 12/02/2023] [Accepted: 12/04/2023] [Indexed: 12/21/2023]
Abstract
AIM The diagnosis of gestational diabetes (GDM) identifies women who are at future risk of developing type 2 diabetes. However, it is unclear if diagnosing GDM thus motivates women to increase physical activity after pregnancy or if this medicalization has the opposite effect of decreasing activity, possibly reflecting assumption of a sick role. We thus sought to evaluate the impact of diagnosing GDM on changes in maternal physical activity after pregnancy. METHODS In this prospective cohort study, physical activity patterns were assessed by the Baecke questionnaire for the year before pregnancy and the first year postpartum in 405 white women comprising the following three gestational glucose tolerance groups: (a) those who did not have GDM (non-GDM; n = 247), (b) women with undiagnosed GDM (n = 46) and (c) those diagnosed with GDM (n = 112). RESULTS In the year before pregnancy, mean adjusted total physical activity progressively decreased from non-GDM to undiagnosed GDM to diagnosed GDM (p = .067). Conversely, at 1 year postpartum, total physical activity was highest in those who had been diagnosed with GDM (p = .02). Compared with non-GDM, diagnosed GDM predicted an increase in total physical activity from pre-pregnancy to 1 year postpartum (t = 2.3, p = .02) whereas undiagnosed GDM predicted a concurrent decrease in leisure-time activity (t = -2.74, p = .006). Accordingly, the mean adjusted increase in body mass index from pre-pregnancy to 1 year postpartum was lowest in those with diagnosed GDM (0.26 ± 0.25 kg/m2 ), highest in undiagnosed GDM (1.23 ± 0.38 kg/m2 ) and intermediate in non-GDM (0.89 ± 0.22 kg/m2 ) (overall p = .04). CONCLUSION Diagnosis of GDM leads to increased physical activity after pregnancy that may partially attenuate postpartum weight retention.
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Affiliation(s)
- Sadia Mehmood
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada
| | - Chang Ye
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada
| | - Anthony J Hanley
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada
- Division of Endocrinology, University of Toronto, Toronto, Canada
- Department of Nutritional Sciences, University of Toronto, Toronto, Canada
| | - Philip W Connelly
- Division of Endocrinology, University of Toronto, Toronto, Canada
- Keenan Research Centre for Biomedical Science of St. Michael's Hospital, Toronto, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
| | - Mathew Sermer
- Department of Obstetrics and Gynecology, Mount Sinai Hospital, Toronto, Canada
| | - Bernard Zinman
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada
- Division of Endocrinology, University of Toronto, Toronto, Canada
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada
| | - Ravi Retnakaran
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada
- Division of Endocrinology, University of Toronto, Toronto, Canada
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada
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Kouiti M, Lozano-Lorca M, Youlyouz-Marfak I, Mozas-Moreno J, González-Palacios Torres C, Olmedo-Requena R, Gea A, Jiménez-Moleón JJ. Replacement of watching television with physical activity and the change in gestational diabetes mellitus risk: A case-control study. Int J Gynaecol Obstet 2024; 165:335-342. [PMID: 37882498 DOI: 10.1002/ijgo.15209] [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: 03/11/2023] [Revised: 10/06/2023] [Accepted: 10/08/2023] [Indexed: 10/27/2023]
Abstract
OBJECTIVE To evaluate the effect of replacing 1 h/week of watching television with 1 h/week of light to moderate (LMPA) or vigorous physical activity (VPA) before and during pregnancy on the risk of gestational diabetes mellitus (GDM). METHODS A case-control study was conducted in pregnant women. Physical activity and television watching before and during pregnancy were assessed using the Paffenbarger Physical Activity Questionnaire. Each type of activity was classified according to intensity (metabolic equivalent of task; MET): less than 6 METs is LMPA, 6 METs or more is VPA. The duration of physical activity and watching television was calculated, and logistic regression models were used to estimate adjusted odds ratios (aOR) and 95% confidence intervals for their association with GDM risk. The isotemporal substitution model was used to calculate the effect of replacing 1 h/week of watching television with the same duration of physical activity. RESULTS The GDM cases (n = 290) spent less time performing VPA than controls without GDM (n = 1175) and more time watching television during pregnancy (P < 0.05). During pregnancy, the risk of GDM increased for each hour of watching television (aOR = 1.02; 95% confidence interval 1.00-1.03). Women who spent more time watching television during pregnancy were likely to develop GDM (aOR>14 h/week vs. 0-6 h/week = 2.03; 95% confidence interval 1.35-3.08). Replacing 1 h/week of watching television with 1 h/week of VPA during pregnancy could decrease the chance of developing GDM (aOR = 0.66; 95% confidence interval 0.43-1.00). CONCLUSIONS A simple change of 1 h/week of watching television for 1 h/week of VPA in pregnant women may reduce the risk of GDM considerably.
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Affiliation(s)
- Malak Kouiti
- Departamento de Medicina Preventiva y Salud Publica, Universidad de Granada, Granada, Spain
- Laboratory of Health Sciences and Technologies, Higher Institute of Health Sciences, Hassan First University of Settat, Settat, Morocco
| | - Macarena Lozano-Lorca
- Departamento de Medicina Preventiva y Salud Publica, Universidad de Granada, Granada, Spain
- Instituto de Investigación Biosanitaria ibs. Granada, Granada, Spain
| | - Ibtissam Youlyouz-Marfak
- Laboratory of Health Sciences and Technologies, Higher Institute of Health Sciences, Hassan First University of Settat, Settat, Morocco
| | - Juan Mozas-Moreno
- Instituto de Investigación Biosanitaria ibs. Granada, Granada, Spain
- Consorcio Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Departamento de Obstetricia y Ginecología, Universidad de Granada, Granada, Spain
- Obstetrics and Gynecology Service, Virgen de las Nieves University Hospital, Granada, Spain
| | | | - Rocío Olmedo-Requena
- Departamento de Medicina Preventiva y Salud Publica, Universidad de Granada, Granada, Spain
- Instituto de Investigación Biosanitaria ibs. Granada, Granada, Spain
- Consorcio Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Alfredo Gea
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- Consortium for Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - José Juan Jiménez-Moleón
- Departamento de Medicina Preventiva y Salud Publica, Universidad de Granada, Granada, Spain
- Instituto de Investigación Biosanitaria ibs. Granada, Granada, Spain
- Consorcio Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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Venkatesan U, Amutha A, Anjana RM, Unnikrishnan R, Mappillairajan B, Mohan V. Clinical and Biochemical Features Used to Classify Type-1 and Type-2 Diabetes: A Scoping Review. JOURNAL OF DIABETOLOGY 2024; 15:152-163. [DOI: 10.4103/jod.jod_21_24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 04/01/2024] [Indexed: 01/06/2025] Open
Abstract
Abstract
The classification of diabetes into type-1 (T1D) and type-2 (T2D) is a critical step in tailoring effective treatment strategies. This distinction relies on a nuanced evaluation of clinical and biochemical features. While age at diagnosis, autoimmune markers, and beta-cell function are among the crucial clinical parameters, biochemical indicators like C-peptide levels and antibody analyses play a pivotal role. This review comprehensively examines the utility of these features in accurately categorizing individuals into T1D and T2D subtypes, providing valuable insights for clinical practice.
This scoping review systematically analyses 32 studies aimed at classifying T1D and T2D using various predictor variables. Clinical parameters including family history of diabetes, age at diagnosis, sex, history of insulin use, percent desirable weight or body mass index, waist, and blood pressure emerge as pivotal diagnostic tools. C-peptide measures, encompassing urinary C-peptide to creatinine ratio (UCPCR), and serum fasting and stimulated C-peptide levels further augment classification. Biochemical markers beyond C-peptide, such as serum level of adiponectin, triglycerides (TG), high-density lipoprotein–cholesterol (HDL-C), low-density lipoprotein (LDL-C), Total cholesterol, fasting and postprandial plasma glucose, and glycated hemoglobin (HbA1c), provide supplementary information for classification. Ketonuria and postglucagon or meal-stimulated C-peptide measurements contribute to nuanced classification, particularly in insulin-treated populations. Antibody analyses, particularly presence of GAD65, Zinc Transporter, and IA2 antibodies, highlight the autoimmune nature of T1D. In conclusion, this scoping review underscores the importance of a comprehensive approach that integrates clinical, biochemical, and immunological markers in accurately differentiating between T1D and T2D in clinical practice.
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Affiliation(s)
- Ulagamadesan Venkatesan
- Department of Bio-Statistics, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
- School of Public Health, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India
| | - Anandakumar Amutha
- Department of Bio-Statistics, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
| | - Ranjit Mohan Anjana
- Department of Bio-Statistics, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
- Department of Diabetology, Dr. Mohan’s Diabetes Specialties Centre, Chennai, Tamil Nadu, India
| | - Ranjit Unnikrishnan
- Department of Bio-Statistics, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
- Department of Diabetology, Dr. Mohan’s Diabetes Specialties Centre, Chennai, Tamil Nadu, India
| | | | - Viswanathan Mohan
- Department of Bio-Statistics, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
- Department of Diabetology, Dr. Mohan’s Diabetes Specialties Centre, Chennai, Tamil Nadu, India
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