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Underwood PC, Ruscitti B, Nguyen T, Magny-Normilus C, Wentzell K, Watts SA, Bowser D. A Health Systems Approach to Nurse-Led Implementation of Diabetes Prevention and Management in Vulnerable Populations. Health Syst Reform 2025; 11:2503648. [PMID: 40489647 DOI: 10.1080/23288604.2025.2503648] [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: 09/23/2024] [Revised: 03/07/2025] [Accepted: 05/05/2025] [Indexed: 06/11/2025] Open
Abstract
Diabetes mellitus is seventh-leading cause of death in the United States, and has a substantial economic burden, contributing $237 billion in direct medical costs. The incidence rate of type 2 diabetes (T2DM) is expected to continue to increase, disproportionally impacting vulnerable groups. The increasing prevalence and disproportionate burden emphasize the need for health systems to effectively integrate and implement large- and small-scale, culturally tailored nurse-led diabetes prevention programs (DPP) and diabetes self-management education programs (DSME). This two-stage analysis uses a health system approach to provide a synopsis of evidence-based nurse-led DPP and DSME implementation across various health system settings. Using the results from an integrative review, a health system focused framework was developed and applied to two case studies highlighting specific aspects of how successful large- and small-scale nurse-led interventions are integrated into health systems across varying vulnerable populations specifically Veterans, Asian Americans and Haitians. Case study results use examples to show large-scale implementation of DSME across the federal Veterans Health Administration (VHA) improves diabetes self-management and access for Veterans and smaller-scale DPP and DSME programs within community health centers targeting vulnerable populations impact health literacy and diabetes self-management. These examples demonstrate key steps toward improving access and outcomes for diabetes management and the critical role of nurse-led diabetes interventions as a priority across the health system and the importance of financial and organizational support for DPP and DSME programs to overcome access barriers to improve diabetes interventions and management.
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Affiliation(s)
- Patricia C Underwood
- William F. Connell School of Nursing, Boston College, Boston, Massachusetts, USA
- Department of Medicine, Veteran Affairs Healthcare System, Boston, MA, USA
| | - Brielle Ruscitti
- William F. Connell School of Nursing, Boston College, Boston, Massachusetts, USA
| | - Tam Nguyen
- William F. Connell School of Nursing, Boston College, Boston, Massachusetts, USA
| | | | - Katherine Wentzell
- William F. Connell School of Nursing, Boston College, Boston, Massachusetts, USA
- Office of Nursing Services, Joslin Diabetes Center, Boston, MA, USA
| | - Sharon A Watts
- Office of Nursing Services, Veteran Affairs Health Care System, Washington, D.C
| | - Diana Bowser
- William F. Connell School of Nursing, Boston College, Boston, Massachusetts, USA
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Strom A, Strassburger K, Ziegler D, Sipola G, Prystupa K, Wagner R, Roden M, Bönhof GJ, GDS Group. Changes Over 10 Years in Peripheral Nerve Function in People With Well-Controlled Type 2 Diabetes and Those With Normal Glucose Tolerance. Neurology 2025; 104:e213780. [PMID: 40440593 PMCID: PMC12123752 DOI: 10.1212/wnl.0000000000213780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2024] [Accepted: 04/09/2025] [Indexed: 06/02/2025] Open
Abstract
BACKGROUND AND OBJECTIVES There is a lack of knowledge on the changes in peripheral nerve function in people with well-controlled, recently diagnosed type 2 diabetes compared with those with normal glucose tolerance (NGT). In this study, we aimed to investigate the natural course of the function of lower extremity small and large nerve fibers in people with NGT and its decline in those with well-controlled type 2 diabetes. METHODS This prospective observational study assessed changes in nerve function in participants of the German Diabetes Study with recently diagnosed (≤1 year) type 2 diabetes and age-matched and sex-matched individuals with NGT after 5 years and in a larger group of participants with type 2 diabetes after 5 and 10 years. Reference tests of lower extremity peripheral nerve function included peroneal motor nerve conduction velocity (MNCV) and sural sensory nerve conduction velocity (SNCV), sural sensory nerve action potential (SNAP), malleolar vibration perception threshold (VPT), and thermal detection thresholds (TDTs). Data were analyzed using multiple linear or logistic regression analyses. RESULTS At baseline, all 5 nerve function measures showed impairment in the 52 individuals in the diabetes group (33% female, median age 51.7 years) compared with the 52 individuals in the matched NGT group (33% female, median age 51.4 years). After 5 years, 2 nerve indices declined in the diabetes group (peroneal MNCV and VPT) and 3 in the NGT group (peroneal MNCV, VPT, and TDT for cold), with similar 5-year declines observed in both groups after adjustment for baseline values and pairwise matching. In addition, the Neuropathy Disability Score increased in the NGT group but not in the diabetes group. Comparable patterns of decline after 5 and 10 years were found in the larger diabetes cohort of 141 individuals (39% female, median baseline age 53.6 years). The observed 10-year prevalence of abnormal NCVs closely matched estimates based on natural aging-related decline (14.2% vs 12.8% for peroneal MNCV and 30.2% vs 31.0% for sural SNCV). DISCUSSION These findings suggest that nerve function deterioration in well-controlled type 2 diabetes is primarily influenced by nerve function status at diagnosis and physiologic aging, rather than diabetes-related progression.
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Affiliation(s)
- Alexander Strom
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
| | - Klaus Strassburger
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany; and
| | - Dan Ziegler
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Germany
| | - Gundega Sipola
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Germany
| | - Katsiaryna Prystupa
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
| | - Robert Wagner
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Germany
| | - Michael Roden
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Germany
| | - Gidon J Bönhof
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Germany
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Kulkarni AS, Carrara GMP, Jin J, Laro J, Peramuna T, McCall LI, Garg N. Mass spectrometry-based metabolomics approaches to interrogate host-microbiome interactions in mammalian systems. Nat Prod Rep 2025. [PMID: 40521991 PMCID: PMC12169106 DOI: 10.1039/d5np00021a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2025] [Indexed: 06/18/2025]
Abstract
Covering: 2015 to 2025Chemical crosstalk is universal to all life, niche-specific, and essential to thrive. This crosstalk is mediated by a large diversity of molecules, including metal ions, small molecules, polysaccharides, nucleic acids, lipids, and proteins. Among these, specialized small molecules referred to as natural products (NPs) play an important role in microbe-drug/environment interactions, microbe-microbe, and microbe-host interactions. Microbial communication using NPs allows microbes to sense quorum, form biofilms, eliminate competition, establish symbiosis, evade immune attack, and respond to stress. In most cases, the elucidation of small molecule mediators and effectors of microbe-host interactions presents a major challenge due to the relatively low abundance of microbial metabolites in a milieu of host, microbe, and environmental metabolites. Advances in analytical instrumentation, such as mass spectrometers, and both experimental as well as computational methods to analyze data, coupled with the use of model organisms, have enabled fundamental discoveries of mechanisms of small molecule-mediated host-microbe interactions. The focus of this review is to detail the approaches applied in the last decade to disentangle microbiome-derived NPs in human and murine model systems. Select recent findings from diverse biological ecosystems are discussed to inform relevant parallels and potential strategies for research in human health.
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Affiliation(s)
- Atharva S Kulkarni
- School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.
| | - Guilherme M P Carrara
- Chemistry and Biochemistry, San Diego State University, San Diego, California 92182, USA.
| | - Jiangpeiyun Jin
- School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.
| | - Jarrod Laro
- Chemistry and Biochemistry, San Diego State University, San Diego, California 92182, USA.
- Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, USA
| | - Thilini Peramuna
- Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, USA
| | - Laura-Isobel McCall
- Chemistry and Biochemistry, San Diego State University, San Diego, California 92182, USA.
- Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, USA
| | - Neha Garg
- School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.
- Center for Microbial Dynamics and Infection, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
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Okuno T, Sort L, Zhang B, Zhou K, Kitchen M, Li V, Miller DR, Norman GJ, Reaven P, Zhou JJ. Temporal Glycemic Patterns in Type 1 and Type 2 Diabetes: Insights From Extended Continuous Glucose Monitoring. J Diabetes Sci Technol 2025:19322968251341264. [PMID: 40413580 DOI: 10.1177/19322968251341264] [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] [Indexed: 05/27/2025]
Abstract
BACKGROUND Achieving optimal glycemic control for persons with diabetes remains difficult. Real-world continuous glucose monitoring (CGM) data can illuminate previously underrecognized glycemic fluctuations. We aimed to characterize glucose trajectories in individuals with Type 1 and Type 2 diabetes, and to examine how baseline glycemic control, CGM usage frequency, and regional differences shape these patterns. METHODS We linked Dexcom CGM data (2015-2020) with Veterans Health Administration electronic health records, identifying 892 Type 1 and 1716 Type 2 diabetes patients. Analyses focused on the first three years of CGM use, encompassing over 2.1 million glucose readings. We explored temporal trends in average daily glucose and time-in-range values. RESULTS Both Type 1 and Type 2 cohorts exhibited a gradual rise in mean daily glucose over time, although higher CGM usage frequency was associated with lower overall glucose or attenuated increases. Notable weekly patterns emerged: Sundays consistently showed the highest glucose values, whereas Wednesdays tended to have the lowest. Seasonally, glycemic control deteriorated from October to February and rebounded from April to August, with more pronounced fluctuations in the Northeast compared to the Southwest U.S. CONCLUSIONS Our findings underscore the importance of recognizing day-of-week and seasonal glycemic variations in diabetes management. Tailoring interventions to account for these real-world fluctuations may enhance patient engagement, optimize glycemic control, and ultimately improve health outcomes.
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Affiliation(s)
- Tomoki Okuno
- Department of Biostatistics, University of California, Los Angeles, Los Angeles, CA, USA
- Phoenix VA Health Care System, Phoenix, AZ, USA
| | - Lucas Sort
- Centrale Supélec, CNRS, Laboratoire des Signaux et Systèmes, Université Paris-Saclay, Gif-Sur-Yvette, France
| | - Bowen Zhang
- Department of Biostatistics, University of California, Los Angeles, Los Angeles, CA, USA
| | | | | | - Victor Li
- Bronx High School of Science, Bronx, NY, USA
| | - Donald R Miller
- Department of Biomedical and Nutritional Sciences, University of Massachusetts, Lowell, MA, USA
- Department of Veterans Affairs, VA Center for Medication Safety, Chicago, IL, USA
| | | | | | - Jin J Zhou
- Department of Biostatistics, University of California, Los Angeles, Los Angeles, CA, USA
- Phoenix VA Health Care System, Phoenix, AZ, USA
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Lin CC, Li CI, Liu CS, Lin CH, Yang SY, Li TC. Visit-to-visit glucose variability is associated with echocardiographic variables in people with type 2 diabetes: epidemiological and mendelian randomization approaches. Diabetol Metab Syndr 2025; 17:163. [PMID: 40394642 PMCID: PMC12090491 DOI: 10.1186/s13098-025-01728-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2025] [Accepted: 05/06/2025] [Indexed: 05/22/2025] Open
Abstract
BACKGROUND This study aimed to examine the associations between visit-to-visit variability in fasting plasma glucose (FPG) and HbA1c with echocardiographic variables in patients with type 2 diabetes using epidemiologic and Mendelian randomization (MR) methods. METHODS From January 2001 to December 2020, 2,326 (1,233 men and 1,093 women) subjects with type 2 diabetes who underwent echocardiography assessment were enrolled in the diabetes care management program of a medical center in Taiwan. The echocardiographic variables included those for cardiac structural, cardiac systolic, and diastolic function. Variability in FPG and HbA1c within one-year prior echocardiographic measurements was calculated using coefficient of variation (CV). A two-stage multivariable regression analysis was used to assess the causal relationship among FPG-CV, HbA1c-CV, and echocardiographic variables using 22 SNPs for FPG and 14 SNPs for HbA1c as instrumental variables. RESULTS A total of 2,326 participants were included, with a mean age of 64.5 years and 53.0% were men. Epidemiologic and MR analyses show the significant associations between left atrium diameter (LAD), left ventricular systolic diameter (LVSd), left ventricular mass (LVM), left ventricular ejection fraction (LVEF), E, and E/e' ratio with FPG variability. Significant associations between HbA1c variability and echocardiographic variables including LAD, E/e', and deceleration time identified in the epidemiologic approach became non-significant in the MR analysis when controlling for covariates. CONCLUSIONS Our epidemiologic and MR studies demonstrated that visit-to-visit variability of FPG in patients with type 2 diabetes was independently associated with the left cardiac structure as well as systolic and diastolic function.
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Affiliation(s)
- Cheng-Chieh Lin
- School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
- Department of Family Medicine, China Medical University Hospital, Taichung, Taiwan
- Department of Medical Research, China Medical University Hospital, Taichung, Taiwan
| | - Chia-Ing Li
- School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
- Department of Medical Research, China Medical University Hospital, Taichung, Taiwan
| | - Chiu-Shong Liu
- School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
- Department of Family Medicine, China Medical University Hospital, Taichung, Taiwan
| | - Chih-Hsueh Lin
- School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
- Department of Family Medicine, China Medical University Hospital, Taichung, Taiwan
| | - Shing-Yu Yang
- Department of Public Health, College of Public Health, China Medical University, No. 100, Sec. 1, Jingmao Rd., Beitun Dist, Taichung City, 406040, Taiwan
| | - Tsai-Chung Li
- Department of Public Health, College of Public Health, China Medical University, No. 100, Sec. 1, Jingmao Rd., Beitun Dist, Taichung City, 406040, Taiwan.
- Department of Audiology and Speech-Language Pathology, College of Medical and Health Sciences, Asia University, Taichung, Taiwan.
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Srinivasa MG, M M, Ghate SD, Alva S, Sangamesh VC, B C R. In silico identification of potential 2-thioxothiazolidin-4-one derivatives against peroxisome proliferator-activated receptor-gamma by molecular docking, MM-GBSA, molecular dynamic simulation, and toxicity studies. J Biomol Struct Dyn 2025:1-13. [PMID: 40390364 DOI: 10.1080/07391102.2025.2506713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 08/19/2024] [Indexed: 05/21/2025]
Abstract
The metabolic disorder diabetes mellitus occurs when there is an inadequate level of insulin or excessive insulin resistance. There has been evidence that this pathogenesis has been approached via a different strategy. It activates homeostatic glucose and improves peripheral glucose utilization by targeting the PPAR-γ. In this regard, the present study aims to investigate 2-thioxothiazolidin-4-one derivatives (D1-15) as PPAR-γ regulators by computational approach followed by evaluation of physicochemical properties and ADMET profiles. The protein target PPAR-γ (PDB ID: 3DZY) was docked against 2-thioxothiazolidin-4-one derivatives using the glide suite. The results indicate the high binding affinity of compounds D7, D11 (-6.509 and -7.276 kcal/mol) and they were compared against standard drug rosiglitazone (-7.289 kcal/mol). MD simulation studies were also carried out at 150 ns to identify the key interactions in protein-ligand complexes in a dynamic environment not only to confirm our findings but to validate them as well. The findings indicated that certain designed compounds, namely D7 and D11, exhibited notable activity against PPAR-γ inhibitors, as evidenced by their favorable glide scores. The chosen derivatives of 2-thioxothiazolidin-4-one appear to hold promise as potential sources for advancing the development of antidiabetic agents targeting the PPAR-γ enzyme.
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Affiliation(s)
- Mahendra Gowdru Srinivasa
- Department of Pharmaceutical Chemistry, NGSM Institute of Pharmaceutical Sciences (NGSMIPS), Nitte (Deemed to be University), Mangalore, Karnataka, India
| | - Manohar M
- Department of Pharmaceutics, NGSM Institute of Pharmaceutical Sciences (NGSMIPS), Nitte (Deemed to be University), Mangalore, Karnataka, India
| | - Sudeep D Ghate
- Center for Bioinformatics, Nitte deemed to be University, Mangalore, India
| | - Shivakiran Alva
- Center for Bioinformatics, Nitte deemed to be University, Mangalore, India
| | - Vinay C Sangamesh
- Division of Molecular and Cancer Biology, Nitte University Centre for Science Education and Research (NUCSER), Nitte (Deemed to be University), Mangalore, Karnataka, India
| | - Revanasiddappa B C
- Department of Pharmaceutical Chemistry, NGSM Institute of Pharmaceutical Sciences (NGSMIPS), Nitte (Deemed to be University), Mangalore, Karnataka, India
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Saluja S, Jude EB. Hypoglycaemia as a cause of dynamic ECG changes: recognition and management. BMJ Case Rep 2025; 18:e265603. [PMID: 40379298 DOI: 10.1136/bcr-2025-265603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/19/2025] Open
Abstract
An elderly man with type 2 diabetes on two times per day biphasic insulin presented after a fall in the toilet, preceded by reduced intake and transient loss of consciousness. Paramedics found profound hypoglycaemia (capillary blood glucose (BG) - 0.9 mmol/L) and administered intravenous glucose, raising BG to 7.2 mmol/L. In the emergency department, he experienced recurrent hypoglycaemia (BG 1.8 and 2.6 mmol/L). ECG revealed T-wave abnormalities and QT prolongation, raising concerns for myocardial ischaemia or arrhythmia. Troponin was mildly elevated (14 ng/L), but he remained haemodynamically stable (pulse 52, BP 120/56, RR 16, SpO₂ 99%). Glycated haemoglobin (HbA1c) was 73 mmol/mol, potassium 3.2 mmol/L with normal renal function. CT of the head was unremarkable. Following glucose correction, ECG abnormalities resolved and there were no further indications of acute coronary syndrome (ACS) or arrhythmia. His insulin regimen was changed to insulin glargine 10 units daily, with continued metformin. This case underscores the critical need to recognise hypoglycaemia-induced ECG changes, preventing misdiagnosis and unnecessary cardiac interventions.
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Affiliation(s)
- Sushant Saluja
- University of Manchester - The Victoria University of Manchester Campus, Manchester, England, UK
| | - Edward Bernard Jude
- University of Manchester - The Victoria University of Manchester Campus, Manchester, England, UK
- Diabetes and Endocrinology, Tameside and Glossop Integrated Care NHS Foundation Trust, Ashton-under-Lyne, England, UK
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Rehni AK, Cho S, Liu A, Lo J, Kim SS, Khoury N, Perez-Pinzon MA, Jy W, Dave KR. Recurrent hypoglycemia exposure increases the risk of platelet activation and thrombosis in insulin-treated diabetic rats. Diabetes Obes Metab 2025. [PMID: 40331400 DOI: 10.1111/dom.16440] [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: 03/03/2025] [Revised: 04/23/2025] [Accepted: 04/24/2025] [Indexed: 05/08/2025]
Abstract
AIMS Diabetes is a widespread disease associated with long-term complications. Treatment of diabetes alleviates these complications but cause an increased risk of recurrent hypoglycemia (RH). Hypoglycemia exposure increases the risk of cardiovascular events by an unknown mechanism. Since the effect of mild/moderate hypoglycemia on thrombosis is unknown, we studied the effect of RH exposure on platelet function and thrombosis in insulin-treated diabetic (ITD) rats. MATERIALS AND METHODS ITD rats were randomized to either control or hypoglycemia groups. First, we determined the minimum duration and frequency of RH exposure that increases the risk of thrombosis and the time window after a single hypoglycemic episode (SH)/RH exposure with increased risk of thrombosis in male ITD rats. Next, we confirmed whether RH exposure increases the risk of thrombosis in female ITD rats. Subsequently, we evaluated the impact of RH exposure on platelet susceptibility to aggregation and platelet gene expression. RESULTS One hour hypoglycemia increased the clot weight and the effect of SH and RH on thrombosis lasted for at least 1 and 7 days post-exposure, respectively. A minimum frequency of twice-a-week hypoglycemia exposure for 6 weeks increased the risk of thrombosis in male ITD rats. Increased susceptibility of platelet activation was observed in RH-exposed male ITD rats. Lastly, we identified RH-induced alterations in the platelet transcriptome in male ITD rats. We also confirmed that RH exposure increases the risk of thrombosis in female rats. CONCLUSIONS Understanding the mechanism of RH-induced platelet activation and thrombosis may help limit thrombotic complications in diabetes.
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Affiliation(s)
- Ashish K Rehni
- Peritz Scheinberg Cerebral Vascular Disease Research Laboratories, University of Miami Miller School of Medicine, Miami, Florida, USA
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Sunjoo Cho
- Peritz Scheinberg Cerebral Vascular Disease Research Laboratories, University of Miami Miller School of Medicine, Miami, Florida, USA
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Allen Liu
- Peritz Scheinberg Cerebral Vascular Disease Research Laboratories, University of Miami Miller School of Medicine, Miami, Florida, USA
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Jonathan Lo
- Peritz Scheinberg Cerebral Vascular Disease Research Laboratories, University of Miami Miller School of Medicine, Miami, Florida, USA
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Stephanie S Kim
- Program in Biomedical Sciences, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Nathalie Khoury
- Peritz Scheinberg Cerebral Vascular Disease Research Laboratories, University of Miami Miller School of Medicine, Miami, Florida, USA
- Neuroscience Program, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Miguel A Perez-Pinzon
- Peritz Scheinberg Cerebral Vascular Disease Research Laboratories, University of Miami Miller School of Medicine, Miami, Florida, USA
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
- Neuroscience Program, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Wenche Jy
- Peritz Scheinberg Cerebral Vascular Disease Research Laboratories, University of Miami Miller School of Medicine, Miami, Florida, USA
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Kunjan R Dave
- Peritz Scheinberg Cerebral Vascular Disease Research Laboratories, University of Miami Miller School of Medicine, Miami, Florida, USA
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
- Neuroscience Program, University of Miami Miller School of Medicine, Miami, Florida, USA
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Hadid S, Frishman WH, Aronow WS. Advancing Diabetes Management and Glycemic Control While Exploring CagriSema's Impact on Obesity Management. Cardiol Rev 2025:00045415-990000000-00488. [PMID: 40327810 DOI: 10.1097/crd.0000000000000940] [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] [Indexed: 05/08/2025]
Abstract
Diabetes is a complex metabolic disorder affecting over 37 million people in the United States. Without proper management, diabetes can lead to a myriad of complications, including cardiovascular disease, kidney failure, and vision loss. Obesity is a major contributor to type 2 diabetes, but genetic and physiological factors make weight loss difficult, necessitating medication management for both conditions. Government-approved weight loss medications, including glucagon-like peptide-1 agonists and amylin analogs, have proven to be effective for both conditions. However, intensive glycemic control involving antidiabetic medications, while beneficial for reducing diabetic complications, can often precipitate hypoglycemic events, which are characterized by cardiac arrhythmias, coma, confusion, and even mortality. A new drug under investigation, CagriSema, combines cagrilintide, an amylin analog, with semaglutide, a glucagon-like peptide-1 agonist. This drug is being marketed as a safe and potentially superior medication to lower both Hemoglobin A1c and body weight. In this article, the pathophysiology, current guidelines, and management of diabetes will be reviewed, with an emphasis on the clinical evidence for tight glucose control and avoiding hypoglycemic events. Following this, an overview of recent trials on antidiabetic medications, including those involving CagriSema, will be presented, along with prospects for future trials in this promising area of research.
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Affiliation(s)
- Somar Hadid
- From the Department of Medicine, New York Medical College, Valhalla, NY
| | | | - Wilbert S Aronow
- Departments of Cardiology and Medicine, Westchester Medical Center and New York Medical College, Valhalla, NY
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Navarro-Blackaller G, Benitez-Renteria AS, Hernández-Morales K, Rico-Fontalvo J, Daza-Arnedo R, Gómez-Ramírez GG, Camacho-Guerrero JR, Pérez-Venegas MA, Carmona-Morales J, Oseguera-González AN, Murguía-Soto C, Chávez-Alonso G, García-Peña F, Barrera-Torres CJ, Orozco-Chan E, Arredondo-Dubois M, Gallardo-González AM, Gómez-Fregoso JA, Rodríguez-García FG, Luquin-Arellano VH, Abundis-Mora G, Alcantar-Vallin L, Medina-González R, García-García G, Chávez-Iñiguez JS. Impact of HbA1c Reduction on Major Kidney Outcomes in Type 2 Diabetes With Poor Glycemic Control and Advanced CKD. Int J Endocrinol 2025; 2025:9919963. [PMID: 40352967 PMCID: PMC12066180 DOI: 10.1155/ije/9919963] [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: 04/29/2024] [Revised: 04/14/2025] [Accepted: 04/17/2025] [Indexed: 05/14/2025] Open
Abstract
Aims: In subjects with type 2 diabetes (DM), poor glycemic control, and advanced chronic kidney disease (CKD), the kidney benefit of the reduction of glycated hemoglobin (HbA1c) is not well established. Methods: In a retrospective cohort, we included patients with DM, CKD grade 3b-5, and HbA1c > 9% to evaluate the risk of developing major adverse kidney events (MAKE) defined as the start of kidney replacement therapy (KRT), ≥ 25% or ≥ 40% decline in the glomerular filtration rate (eGFR) from baseline, and death; patients were divided according to the HbA1c levels at the end of the follow-up into the following groups: > 75 mmol/mol (≥ 9.0%), 74-64 mmol/mol (8.9%-8.0%), 64-53 mmol/mol (7.9%-7.0%), and < 52 mmol/mol (< 7.0%). We described their characteristics and analyzed their risks, adjusting for confounding variables. Results: From 2015 to 2023, 111 patients were included. In 46 patients (41.4%), the HbA1c at the end of follow-up (60 months) was still > 75 mmol/mol (≥ 9%), and each patient had a mean of 4.9 HbA1c measurements. The mean age was 59 years, and 46% were male; the baseline eGFR was 25 mL/min/1.73 m2. MAKE occurred in 67% of cases. In a multivariate analysis, the risk of MAKE was not associated with the HbA1c groups, nor was it associated with any of the MAKE components individually, nor in certain subgroups. When evaluating the magnitude of percentage changes in HbA1 with the initiation of KRT, we did not find any association. Conclusions: With advanced CKD and poor glycemic control, changes in HbA1c during long follow-up are not associated with MAKE or its individual components.
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Affiliation(s)
- G. Navarro-Blackaller
- Nephrology Service, Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Jalisco, Mexico
- University of Guadalajara Health Sciences Center, Guadalajara, Jalisco, Mexico
| | | | - K. Hernández-Morales
- Nephrology Service, Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Jalisco, Mexico
- University of Guadalajara Health Sciences Center, Guadalajara, Jalisco, Mexico
| | - J. Rico-Fontalvo
- Kidney, Diabetes, and Metabolism Committee, Colombian Association of Nephrology and Hypertension, Bogotá, Colombia
- Departamento de Nefrología, Facultad de Medicina de la Universidad Simón Bolívar, Barranquilla, Colombia
| | - R. Daza-Arnedo
- Kidney, Diabetes, and Metabolism Committee, Colombian Association of Nephrology and Hypertension, Bogotá, Colombia
| | - G. G. Gómez-Ramírez
- Nephrology Service, Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Jalisco, Mexico
| | - J. R. Camacho-Guerrero
- Nephrology Service, Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Jalisco, Mexico
- University of Guadalajara Health Sciences Center, Guadalajara, Jalisco, Mexico
| | - M. A. Pérez-Venegas
- Nephrology Service, Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Jalisco, Mexico
- University of Guadalajara Health Sciences Center, Guadalajara, Jalisco, Mexico
| | - J. Carmona-Morales
- Nephrology Service, Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Jalisco, Mexico
- University of Guadalajara Health Sciences Center, Guadalajara, Jalisco, Mexico
| | - A. N. Oseguera-González
- Nephrology Service, Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Jalisco, Mexico
- University of Guadalajara Health Sciences Center, Guadalajara, Jalisco, Mexico
| | - C. Murguía-Soto
- Nephrology Service, Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Jalisco, Mexico
- University of Guadalajara Health Sciences Center, Guadalajara, Jalisco, Mexico
| | - G. Chávez-Alonso
- University of Guadalajara Health Sciences Center, Guadalajara, Jalisco, Mexico
| | - F. García-Peña
- Nephrology Service, Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Jalisco, Mexico
| | - C. J. Barrera-Torres
- Nephrology Service, Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Jalisco, Mexico
- University of Guadalajara Health Sciences Center, Guadalajara, Jalisco, Mexico
| | - E. Orozco-Chan
- Nephrology Service, Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Jalisco, Mexico
- University of Guadalajara Health Sciences Center, Guadalajara, Jalisco, Mexico
| | - M. Arredondo-Dubois
- Nephrology Service, Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Jalisco, Mexico
- University of Guadalajara Health Sciences Center, Guadalajara, Jalisco, Mexico
| | - A. Martínez Gallardo-González
- Nephrology Service, Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Jalisco, Mexico
- University of Guadalajara Health Sciences Center, Guadalajara, Jalisco, Mexico
| | - J. A. Gómez-Fregoso
- Nephrology Service, Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Jalisco, Mexico
| | - F. G. Rodríguez-García
- Nephrology Service, Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Jalisco, Mexico
| | - V. H. Luquin-Arellano
- Nephrology Service, Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Jalisco, Mexico
- University of Guadalajara Health Sciences Center, Guadalajara, Jalisco, Mexico
| | - G. Abundis-Mora
- University of Guadalajara Health Sciences Center, Guadalajara, Jalisco, Mexico
| | - L. Alcantar-Vallin
- Nephrology Service, Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Jalisco, Mexico
- University of Guadalajara Health Sciences Center, Guadalajara, Jalisco, Mexico
| | - R. Medina-González
- Nephrology Service, Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Jalisco, Mexico
| | - G. García-García
- University of Guadalajara Health Sciences Center, Guadalajara, Jalisco, Mexico
| | - J. S. Chávez-Iñiguez
- Nephrology Service, Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Jalisco, Mexico
- University of Guadalajara Health Sciences Center, Guadalajara, Jalisco, Mexico
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Fabricius TW, Verhulst C, Svensson CH, Wienberg M, Duijnhouwer AL, Tack CJ, Kristensen PL, de Galan BE, Pedersen‐Bjergaard U, the Hypo‐RESOLVE consortium. Effects of insulin-induced hypoglycaemia on cardiac function in people with type 1 and type 2 diabetes and people without diabetes. Diabetes Obes Metab 2025; 27:2768-2776. [PMID: 40045554 PMCID: PMC11964998 DOI: 10.1111/dom.16283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2024] [Revised: 02/05/2025] [Accepted: 02/07/2025] [Indexed: 04/04/2025]
Abstract
AIMS Cardiovascular disease is the most common complication and cause of death in people with diabetes. Hypoglycaemia is independently associated with the development of cardiovascular complications, including death. The aim of this study was to assess changes in cardiac function and workload during acute hypoglycaemia in people with and without diabetes and to explore the role of diabetes type, magnitude of the adrenaline response, and other phenotypic traits. MATERIALS AND METHOD We enrolled people with type 1 diabetes (n = 24), people with insulin-treated type 2 diabetes (n = 15) and controls without diabetes (n = 24). All participants underwent a hyperinsulinaemic-normoglycaemic-(5.3 ± 0.3 mmol/L)-hypoglycaemic (2.8 ± 0.1 mmol/L)-glucose clamp. Cardiac function was assessed by echocardiography, with left ventricular ejection fraction (LVEF) as the primary endpoint. RESULTS During hypoglycaemia, LVEF increased significantly in all groups compared to baseline (6.2 ± 5.2%, p < 0.05), but the increase was significantly lower in type 1 diabetes compared to controls without diabetes (5.8 ± 3.4% vs. 9.4 ± 5.0%, p = 0.03, 95% CI difference: -5.0, -0.3). In people with type 1 diabetes, ΔLVEF was inversely associated with diabetes duration (β: -0.16, 95% CI: -0.24, -0.53, p = 0.001) and recent exposure to hypoglycaemia (β: -0.30, 95% CI: -0.53, -0.07, p = 0.015). Hypoglycaemia also increased global longitudinal strain (GLS) in controls without diabetes (p < 0.05), but this did not occur in the two diabetes subgroups (p > 0.10). CONCLUSIONS Hypoglycaemia increased LVEF in all groups, but the increase diminished with longer disease duration and prior exposure to hypoglycaemia in type 1 diabetes, suggesting adaptation to recurrent hypoglycaemia. The increment in GLS observed in controls was blunted in people with diabetes. More research is needed to determine the clinical relevance of these findings.
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Affiliation(s)
- Therese Wilbek Fabricius
- Department of Endocrinology and NephrologyNordsjællands HospitalHillerødDenmark
- Novo NordiskSøborgDenmark
| | - Clementine Verhulst
- Department of Internal MedicineRadboud University Medical CentreNijmegenThe Netherlands
| | | | - Malene Wienberg
- Department of CardiologyNordsjællands HospitalHillerødDenmark
| | | | - Cees J. Tack
- Department of Internal MedicineRadboud University Medical CentreNijmegenThe Netherlands
| | - Peter L. Kristensen
- Department of Endocrinology and NephrologyNordsjællands HospitalHillerødDenmark
- Department of Clinical Medicine, Faculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
| | - Bastiaan E. de Galan
- Department of Internal MedicineRadboud University Medical CentreNijmegenThe Netherlands
- CARIM School for Cardiovascular DiseasesMaastricht UniversityMaastrichtThe Netherlands
- Department of Internal MedicineMaastricht University Medical CentreMaastrichtNetherlands
| | - Ulrik Pedersen‐Bjergaard
- Department of Endocrinology and NephrologyNordsjællands HospitalHillerødDenmark
- Department of Clinical Medicine, Faculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
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12
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Yang Y, Zhao B, Wang Y, Lan H, Liu X, Hu Y, Cao P. Diabetic neuropathy: cutting-edge research and future directions. Signal Transduct Target Ther 2025; 10:132. [PMID: 40274830 PMCID: PMC12022100 DOI: 10.1038/s41392-025-02175-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2024] [Revised: 12/12/2024] [Accepted: 02/08/2025] [Indexed: 04/26/2025] Open
Abstract
Diabetic neuropathy (DN) is a prevalent and debilitating complication of diabetes mellitus, significantly impacting patient quality of life and contributing to morbidity and mortality. Affecting approximately 50% of patients with diabetes, DN is predominantly characterized by distal symmetric polyneuropathy, leading to sensory loss, pain, and motor dysfunction, often resulting in diabetic foot ulcers and lower-limb amputations. The pathogenesis of DN is multifaceted, involving hyperglycemia, dyslipidemia, oxidative stress, mitochondrial dysfunction, and inflammation, which collectively damage peripheral nerves. Despite extensive research, disease-modifying treatments remain elusive, with current management primarily focusing on symptom control. This review explores the complex mechanisms underlying DN and highlights recent advances in diagnostic and therapeutic strategies. Emerging insights into the molecular and cellular pathways have unveiled potential targets for intervention, including neuroprotective agents, gene and stem cell therapies, and innovative pharmacological approaches. Additionally, novel diagnostic tools, such as corneal confocal microscopy and biomarker-based tests, have improved early detection and intervention. Lifestyle modifications and multidisciplinary care strategies can enhance patient outcomes. While significant progress has been made, further research is required to develop therapies that can effectively halt or reverse disease progression, ultimately improving the lives of individuals with DN. This review provides a comprehensive overview of current understanding and future directions in DN research and management.
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Affiliation(s)
- Yang Yang
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing University of Chinese Medicine, Nanjing, China.
- Jiangsu Provincial Medical Innovation Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
| | - Bing Zhao
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Provincial Medical Innovation Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Yuanzhe Wang
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Provincial Medical Innovation Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Hongli Lan
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Provincial Medical Innovation Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Xinyu Liu
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Provincial Medical Innovation Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Yue Hu
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Provincial Medical Innovation Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Peng Cao
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing University of Chinese Medicine, Nanjing, China.
- Jiangsu Provincial Medical Innovation Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
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13
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He S, Qian X, Wang J, Shen X, An Y, Zhang B, Chen B, Li H, Chen X, Chen Y, Wang Y, Jin C, Gong Q, Li G. Younger-onset type 2 diabetes associated with increased long-term cancer risk in Chinese adults: A 30-year follow-up of the Da Qing Diabetes Study. BJC REPORTS 2025; 3:24. [PMID: 40263628 PMCID: PMC12015435 DOI: 10.1038/s44276-025-00142-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2024] [Revised: 03/05/2025] [Accepted: 04/01/2025] [Indexed: 04/24/2025]
Abstract
BACKGROUND We investigated the association between younger-onset type 2 diabetes, duration of diabetes, and cancer risk based on data from the Da Qing Diabetes Prevention Outcome Study (DQDPOS). METHODS The analysis recruited 620 younger-onset (age≤50 years) and 649 older-onset (age>50 years) patients with type 2 diabetes, and 310 younger non-diabetes controls (age≤50 years). Multiple regression analysis was used to test the influence of younger-onset diabetes and duration of diabetes on the long-term risk of cancer. RESULTS The annual incidence of all cancer among the non-diabetes, younger-, and older-onset type 2 diabetes was significantly different (3.7, 5.5, and 4.0/1000 person-years, respectively). The standard Cox analysis revealed that the patients with younger-onset diabetes had a significantly higher risk of cancer than those with older-onset diabetes (hazard ratio [HR]:1.81; 95% confidence interval [CI]:1.20-2.73) and younger non-diabetic controls (HR:2.43; 95% CI:1.34-4.41) after adjustment for diabetes duration and other confounders. Stepwise general linear regression model analysis revealed that a longer diabetes-free time was associated with longer lifetime cancer-free years (partial R2 = 0.36, p < 0.001), in addition to the non-modifiable predictor duration of diabetes. CONCLUSIONS Younger-onset type 2 diabetes was significantly associated with an increased risk of cancer beyond the influence of diabetes duration.
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Affiliation(s)
- Siyao He
- Endocrinology Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xin Qian
- Endocrinology Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jinping Wang
- Department of Cardiology, Da Qing First Hospital, Da Qing, China
| | - Xiaoxia Shen
- Endocrinology Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yali An
- Endocrinology Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bo Zhang
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China
| | - Bo Chen
- Division of Non-Communicable Disease Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hui Li
- Department of Cardiology, Da Qing First Hospital, Da Qing, China
| | - Xiaoping Chen
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China
| | - Yanyan Chen
- Endocrinology Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yang Wang
- Medical Research and Biometrics Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | | | - Qiuhong Gong
- Endocrinology Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Guangwei Li
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China.
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Meng H, So H, Lam SH, Tam LS. Impaired fasting glucose and sulfonylureas increased the risk of major cardiovascular events in patients with inflammatory arthritis. Diabetol Metab Syndr 2025; 17:132. [PMID: 40251690 PMCID: PMC12008961 DOI: 10.1186/s13098-025-01689-6] [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: 06/04/2024] [Accepted: 04/02/2025] [Indexed: 04/20/2025] Open
Abstract
OBJECTIVES To evaluate the effect of impaired fasting glucose (IFG) and various anti-diabetic agents on the risk of incident major cardiovascular events (MACE) in patients with inflammatory arthritis (IA) including rheumatoid arthritis (RA) and psoriatic arthritis (PsA). METHODS This was a population-based retrospective cohort study. Patient identification and data retrieval were conducted using a big data platform (The Hospital Authority Data Collaboration Lab) in Hong Kong. Patients with IA were recruited from Jan 2006 to Dec 2015 and followed up until the end of 2018. Time-dependent Cox proportional hazards regression models were used to analyze the association between fasting glucose (FG) levels and anti-diabetic drug use with MACE in IA patients. RESULTS A total of 13,905 patients (12,233 RA and 1,672 PsA) were included. 934 patients (6.7%) developed the first MACE after a total of 119,571 patient-years of follow-up. More patients in the MACE group had IFG (FG 5.6-6.9 mmol/l) (19.4% vs. 15.2%, p < 0.001) and FG ≥ 7 mmol/l (17.6% vs. 8.1%, p < 0.001) at baseline. In the subgroup of patients who were not taking any anti-diabetic medications, a prediabetic state was found to be independently associated with a higher risk of MACE (HR 2.43, 95%CI 1.97-2.99 in CRP model and HR 2.54, 95%CI 1.50-7.71 in ESR model). On the other hand, in patients with diabetes, sulfonylurea use increased the risk of MACE development by 55% (HR 1.55, 95%CI 1.14-2.09) after adjusting for other covariates. CONCLUSIONS In a large cohort of patients with IA, IFG and sulfonylureas use were found to be independently associated with an increased risk of incident MACE.
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Affiliation(s)
- Huan Meng
- Department of Medicine and Therapeutics, The Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Ho So
- Department of Medicine and Therapeutics, The Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Steven H Lam
- Department of Medicine and Therapeutics, The Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University, and Liverpool Heart and Chest Hospital, Liverpool, UK
| | - Lai-Shan Tam
- Department of Medicine and Therapeutics, The Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong.
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15
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Huang R, Bao Y, Xiong Y, Ma J, Ding B. Differences in the insulin counterregulatory hormones between obese and nonobese male patients with type 2 diabetes mellitus. Sci Rep 2025; 15:12099. [PMID: 40204774 PMCID: PMC11982531 DOI: 10.1038/s41598-025-89543-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2024] [Accepted: 02/06/2025] [Indexed: 04/11/2025] Open
Abstract
Obesity is associated with both high and low levels of hypoglycemia, and impairment of counterregulatory hormones may predispose individuals to hypoglycemia. This study aimed to explore differences in the responsiveness of insulin counterregulatory hormones to hypoglycemia between men with or without obesity who have been newly diagnosed with type 2 diabetes mellitus (T2DM). This study enrolled 25 men newly diagnosed with T2DM who were hospitalized in the Department of Endocrinology and Metabolism between January 2022 and December 2022. All participants were treated with intensive insulin pump therapy to achieve glycemic control within one week, then a hyperinsulinemic-hypoglycemic clamp was used to evaluate insulin counter-regulatory hormones for hypoglycemia. Based on the body mass index, 10 and 15 patients were included in the obese and nonobese groups, respectively. During the hyperinsulinemic-hypoglycemic clamp test, the obese group showed a significant lower multiple of adrenocorticotropic hormone elevation than the nonobese group (P = 0.040). Regarding the proportion of hormone response multiples reaching the target, those who reached the reaction multiple were lower in the obese group than those in the non-obese group, although the differences were not statistically significant (all P > 0.05). The responses of insulin counterregulatory hormones to hypoglycemia in men with obesity and newly diagnosed T2DM were significantly lower than those in men with T2DM but without obesity.
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Affiliation(s)
- Rong Huang
- Department of Endocrinology and Metabolism, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210012, China
| | - Yujie Bao
- Department of Endocrinology and Metabolism, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210012, China
| | - Yuanli Xiong
- Department of Endocrinology and Metabolism, Nanjing Tongren Hospital, Southeast University School of Medicine, Nanjing, 211102, China
| | - Jianhua Ma
- Department of Endocrinology and Metabolism, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210012, China.
| | - Bo Ding
- Department of Endocrinology and Metabolism, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210012, China.
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Colagiuri S, Ceriello A. 2. Glycaemic control assessment and targets in type 2 diabetes. Diabetes Res Clin Pract 2025:112146. [PMID: 40209897 DOI: 10.1016/j.diabres.2025.112146] [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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17
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Cheng AYY, Heine RJ, Del Prato S, Green JB, Thieu VT, Zeytinoglu M. Striving for early effective glycaemic and weight management in type 2 diabetes: A narrative review. Diabetes Obes Metab 2025; 27:1708-1718. [PMID: 39871817 PMCID: PMC11885087 DOI: 10.1111/dom.16206] [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: 10/07/2024] [Revised: 01/07/2025] [Accepted: 01/08/2025] [Indexed: 01/29/2025]
Abstract
Despite the recognition by key guidelines that achieving early glycaemic control has important benefits in individuals with type 2 diabetes (T2D) and that addressing excess adiposity is one of the central components of comprehensive person-centred T2D care, a substantial proportion of individuals with T2D do not meet their metabolic treatment goals. Prior treatment paradigms were limited by important treatment-associated risks such as hypoglycaemia and body weight gain. Therefore, a more conservative, sequential approach to treatment was typically utilized. One potential consequence of this approach has been a missed opportunity to achieve a 'legacy effect', where early treatment to reach glycaemic targets is associated with enduring long-term benefits in T2D. Additionally, while previous treatment approaches have addressed core defects in T2D, including insulin resistance and β-cell function decline, they have been unable to address one of the underlying causal abnormalities-excess adiposity. Here, we review currently available evidence for the beneficial long-term effects of early glycaemic control and management of body weight in people with T2D and discuss potential next steps.
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Gomes DA, Presume J, de Araújo Gonçalves P, Almeida MS, Mendes M, Ferreira J. Association Between the Magnitude of Glycemic Control and Body Weight Loss With GLP-1 Receptor Agonists and Risk of Atherosclerotic Cardiovascular Disease: A Systematic Review and Meta-analyses of Randomized Diabetes Cardiovascular Outcomes Trials. Cardiovasc Drugs Ther 2025; 39:337-345. [PMID: 38214869 DOI: 10.1007/s10557-024-07547-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/02/2024] [Indexed: 01/13/2024]
Abstract
PURPOSE Reduction of major atherosclerotic cardiovascular events (MACE) has not been consistent among different glucagon-like peptide-1 receptor agonists (GLP-1 RAs) in patients with type 2 diabetes mellitus (T2DM). The aim of this study was to assess the association between the magnitude of glycemic control, body weight loss, and reductions in systolic blood pressure (SBP) and low-density lipoprotein cholesterol (LDL-C) achieved through GLP-1 RA therapy and MACE. METHODS Electronic databases (MEDLINE, CENTRAL, SCOPUS) were searched through March 2023. Studies were eligible if they were cardiovascular outcome trials (CVOTs) comparing GLP-1 RAs versus placebo in T2DM patients. The outcome of interest was 3-point MACE - cardiovascular death, myocardial infarction, or stroke. Random-effects meta-regression analyses evaluated the associations between reductions of HbA1c, body weight, SBP and LDL-C and reduction of MACE. RESULTS Overall, 8 CVOTs were included (60079 patients, 30693 with GLP-1 RAs). Reductions of HbA1C were associated with the reduction of 3P-MACE (Log RR -0.290 [95% CI -0.515;-0.064], p = 0.012), with an estimated RR reduction of 25% for each 1% absolute reduction in HbA1C levels. Body weight loss was associated with the reduction of 3P-MACE (Log RR -0.068 [95% CI -0.135;-0.001], p = 0.047), with an estimated RR reduction of 7% for each 1 kg reduction in body weight. Reductions of SBP (Log RR -0.058 [95% CI -0.192;0.076], p = 0.396) and LDL-C (Log RR -0.602 [95% CI -4.157;2.953], p = 0.740) were not associated with the reduction of 3P-MACE. CONCLUSIONS In T2DM patients, more potent GLP-1 RAs in reducing HbA1c and body weight were associated with greater reductions of MACE.
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Affiliation(s)
- Daniel A Gomes
- Cardiology Department, Hospital de Santa Cruz, Centro Hospitalar de Lisboa Ocidental, Av. Prof. Dr. Reinaldo Dos Santos, Carnaxide, 2790-134, Lisbon, Portugal.
| | - João Presume
- Cardiology Department, Hospital de Santa Cruz, Centro Hospitalar de Lisboa Ocidental, Av. Prof. Dr. Reinaldo Dos Santos, Carnaxide, 2790-134, Lisbon, Portugal
- Comprehensive Health Research Centre, NOVA Medical School, Universidade Nova de Lisboa, Lisbon, Portugal
| | - Pedro de Araújo Gonçalves
- Cardiology Department, Hospital de Santa Cruz, Centro Hospitalar de Lisboa Ocidental, Av. Prof. Dr. Reinaldo Dos Santos, Carnaxide, 2790-134, Lisbon, Portugal
- Comprehensive Health Research Centre, NOVA Medical School, Universidade Nova de Lisboa, Lisbon, Portugal
| | - Manuel Sousa Almeida
- Cardiology Department, Hospital de Santa Cruz, Centro Hospitalar de Lisboa Ocidental, Av. Prof. Dr. Reinaldo Dos Santos, Carnaxide, 2790-134, Lisbon, Portugal
- Comprehensive Health Research Centre, NOVA Medical School, Universidade Nova de Lisboa, Lisbon, Portugal
| | - Miguel Mendes
- Cardiology Department, Hospital de Santa Cruz, Centro Hospitalar de Lisboa Ocidental, Av. Prof. Dr. Reinaldo Dos Santos, Carnaxide, 2790-134, Lisbon, Portugal
| | - Jorge Ferreira
- Cardiology Department, Hospital de Santa Cruz, Centro Hospitalar de Lisboa Ocidental, Av. Prof. Dr. Reinaldo Dos Santos, Carnaxide, 2790-134, Lisbon, Portugal
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19
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Niu QQ, Fu ZZ, Mao BY, Zhang X, Wang HD, Li P, Lin LB, Xi YT, Yin YL, Kamal NNSNM, Lim V. Perillaldehyde targeting PARP1 to inhibit TRPM2-CaMKII/CaN signal transduction in diabetic cardiomyopathy. Int Immunopharmacol 2025; 150:114291. [PMID: 39970708 DOI: 10.1016/j.intimp.2025.114291] [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: 12/07/2024] [Revised: 02/09/2025] [Accepted: 02/11/2025] [Indexed: 02/21/2025]
Abstract
BACKGROUND Diabetic cardiomyopathy (DC) is a serious complication of diabetes, characterized by myocardial fibrosis, hypertrophy, oxidative stress, and inflammation. Perillaldehyde (PAE), a natural monoterpene, has shown potential in mitigating cardiac damage. PURPOSE This study aims to elucidate the molecular mechanism of the protective effect of PAE on the DC and the interaction between DC pathogenesis. METHODS Network pharmacology and molecular docking were used to identify PARP1 as a core target for PAE in DC. Animal experiments involved intervening DC mice with PAE and assessing cardiac function, oxidative stress, and apoptosis. In vitro, high glucose-induced H9c2 cells were used to validate PAE's effects on cell viability and protein expression. RESULTS The results showed that PAE improved the general condition of DC mice, reduced cardiac injury and cardiac insufficiency, decreased myocardial mitochondrial damage, and reduced apoptosis. In addition, PAE upregulated the expression of Bcl-2, downregulated Bax protein expression, inhibited Caspase-3 activity, and inhibited the expression of PARP1, TRPM2, CaN, and CaMKII proteins in DC mice and high glucose-induced H9c2 cells. CONCLUSION Mechanically, this study clarified that PAE's inhibition of the PARP1-TRPM2-CaMKII/CaN pathway reduces calcium-activated mitochondrial damage, apoptosis, and oxidative stress in diabetic cardiomyopathy. This discovery provides an innovative therapeutic strategy for DC and an experimental foundation for PAE's drug development, with significant practical implications.
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Affiliation(s)
- Qian-Qian Niu
- School of Basic Medical Sciences, Sino-UK Joint Laboratory of Brain Function and Injury of Henan Province, Department of Physiology and Pathophysiology, Xinxiang Medical University, Xinxiang 453003, China; Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, Penang 13200, Malaysia.
| | - Zhan-Zhou Fu
- School of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin, Guangxi 541004, China
| | - Bing-Yan Mao
- College of Pharmacy, Xinxiang Medical University, Xinxiang, 453003, China
| | - Xue Zhang
- College of Pharmacy, Xinxiang Medical University, Xinxiang, 453003, China
| | - Hui-Dan Wang
- College of Pharmacy, Xinxiang Medical University, Xinxiang, 453003, China
| | - Peng Li
- College of Pharmacy, Xinxiang Medical University, Xinxiang, 453003, China
| | - Lai-Biao Lin
- School of Basic Medical Sciences, Sino-UK Joint Laboratory of Brain Function and Injury of Henan Province, Department of Physiology and Pathophysiology, Xinxiang Medical University, Xinxiang 453003, China
| | - Yu-Ting Xi
- College of Pharmacy, Xinxiang Medical University, Xinxiang, 453003, China
| | - Ya-Ling Yin
- School of Basic Medical Sciences, Sino-UK Joint Laboratory of Brain Function and Injury of Henan Province, Department of Physiology and Pathophysiology, Xinxiang Medical University, Xinxiang 453003, China.
| | | | - Vuanghao Lim
- Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, Penang 13200, Malaysia.
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20
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Ji K, Han M, Yang M, Xu Q, Zhang Y. Integrated meta-analysis and network pharmacology analysis: evaluation of Zhigancao decoction as treatment for diabetic cardiomyopathy. Front Cardiovasc Med 2025; 12:1454647. [PMID: 40161384 PMCID: PMC11949964 DOI: 10.3389/fcvm.2025.1454647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Accepted: 02/19/2025] [Indexed: 04/02/2025] Open
Abstract
Background Zhigancao Decoction (ZGCD) is derived from "Treatise on Febrile Diseases" and is traditionally prescribed for treating a variety of cardiovascular conditions. As of now, there are no data to support its use as a treatment for diabetic cardiomyopathy (DCM) and the mechanism behind the effect is unclear as well. In the present study, clinical evidence for the efficacy of ZGCD in patients with DCM was examined using a meta-analysis and its underlying anti-DCM molecular mechanisms were explored via network pharmacology. Methods The current study utilized an extensive search strategy encompassing various domestic and foreign databases databases to retrieve pertinent articles published up to June 2024. In light of this, a thorough evaluation of the benefits and safety of Zhigancao decoction (ZGCD) was conducted in this study using RevMan and Stata. Subsequently, a number of active compounds and target genes for ZGCD were gathered from the TCMSP and BATMAN-TCM databases, while the main targets for DCM were obtained from databases such as GenCards, OMIM, TTD, and DrugBank. To select core genes, protein-protein interaction networks were generated using the STRING platform, and enrichment analyses were completed using the Metascape platform. Results Meta-analysis results were ultimately derived from 9 studies involving 661 patients in total. In comparison with WM therapy alone, the pooled results showed that ZGCD significantly enhanced overall effectiveness. Additionally, the utilization of ZGCD was leading to a reduction in LVEDV, LVESV and LVDD, also a greater increase in LVEF. Meanwhile, the utilization of ZGCD during intervention was more effective in reducing SBP, and DBP. In addition, the ZGCD showed potential in reducing the occurrence of adverse events. In the context of network pharmacology, five constituents of ZGCD-namely lysine, quercetin, gamma-aminobutyric acid, stigmasterol, and beta-sitosterol-are posited to exert anti-diabetic cardiomyopathy (anti-DCM) effects through interactions with the molecular targets ASS1, SERPINE1, CACNA2D1, AVP, APOB, ICAM1, EGFR, TNNC1, F2, F10, IGF1, TNNI2, CAV1, INSR, and INS. The primary mechanisms by which ZGCD may achieve its anti-DCM effects are likely mediated via the AGEs/RAGE signaling pathway, as well as through pathways related to lipid metabolism and atherosclerosis. Conclusion In comparison to WM therapy alone, ZGCD demonstrates greater efficacy and safety in the management of DCM. ZGCD not only significantly reduces blood pressure, but also enhances cardiac function while producing fewer adverse effects. The therapeutic effects of ZGCD on DCM can likely be ascribed to its capacity to modulate the AGEs-RAGE signaling pathway, as well as its efficacy in enhancing lipid metabolism and mitigating atherosclerosis. Systematic Review Registration identifier (INPLASY202430133).
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Affiliation(s)
- Kangshou Ji
- First Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, China
- Department of Cardiovascular Medicine, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Meizi Han
- National Key Laboratory of Chinese Medicine Modernization, Heilongjiang University of Traditional Chinese Medicine, Harbin, China
| | - Mingqian Yang
- Chinese Medicine College, Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Qian Xu
- First Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Yan Zhang
- First Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, China
- Department of Cardiovascular Medicine, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, China
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Seidu S, Avery L, Bell H, Brown P, Diggle J, Down S, Dua R, Holmes P, Mohan R, Milne N, Min T, Ridgeway J, Tahir W, Tanna S. Removing barriers to management of adults with type 2 diabetes on insulin using continuous glucose monitoring in UK primary care practice: An expert consensus. Diabet Med 2025; 42:e15500. [PMID: 39676327 PMCID: PMC11823331 DOI: 10.1111/dme.15500] [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: 10/18/2024] [Revised: 11/24/2024] [Accepted: 12/03/2024] [Indexed: 12/17/2024]
Abstract
AIMS This expert consensus reviews the reality of primary care clinical management of people with type 2 diabetes (T2D) on non-intensive insulin therapy, with an emphasis on the use of continuous glucose monitoring (CGM) technology for effective care in this participant group. Here, we identify key unmet needs for skills and systems development within this frontline healthcare setting, along with major challenges and opportunities associated with managing these changes effectively. METHODS The authors participated in two primary care consensus panels held on 28 November 2023 and on 21 May 2024. The focus for these expert panels was to understand the unmet needs within primary care to manage adults with T2D treated with non-intensive insulin therapy and incorporating the use of CGM systems. A Delphi Survey was undertaken among a wider group of Primary Care Diabetes Technology Network members in the United Kingdom, to understand prevalent attitudes to management of adults with T2D on insulin and using CGM in primary care. Based on these activities, a series of consensus statements were tested in a second Delphi Survey. RESULTS The activities described, involving primary care healthcare professionals (HCPs) with expertise in diabetes management, identified a series of training and educational needs within UK general practice that are central to skills development for the care of adults with T2D on insulin therapy and the application of CGM technology. Potential barriers to effective primary care management of people with T2D using CGM devices were identified. Areas of concern included confidence in national and local guidelines for the management of T2D using CGM systems, lack of experience on the part both of HCPs and people with T2D, clinical workflows and systems, as well as inbuilt resistance to change among primary care teams. However, the expert group were clear that the goal of providing care for people with T2D on non-intensive insulin therapy using CGM technology as standard of care could be met (94.3%, n = 33). This will deliver clinical benefits for people with T2D, and improvements to clinical workflows in primary care. Cost-savings to the health service were also identified as an outcome. CONCLUSIONS The need to adapt to the management of people with T2D on insulin therapy puts significant pressure on current workflows and skills for primary care teams. Steps in overcoming these immediate pressures, to ensure effective clinical management of people with T2D, are discussed, along with a series of consensus statements that identify the key areas of change to manage. Ultimately, the great majority of expert primary care HCPs were confident or very confident that using CGM technology will become the standard of care for people with T2D treated with insulin in primary care.
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Affiliation(s)
- Samuel Seidu
- Diabetes Research Centre, National Institute for Health Research, Applied Research Collaboration East MidlandsUniversity of LeicesterLeicesterUK
| | | | | | | | | | - Su Down
- Somerset Partnership NHSFTLondonUK
| | | | | | | | - Nicola Milne
- Greater Manchester Diabetes Clinical NetworkManchesterUK
- Brooklands and Northenden Primary Care NetworkWythenshaweUK
| | - Thinzar Min
- Singleton Hospital and Neath Port Talbot HospitalSwansea Bay University Health BoardSkettyUK
| | | | - Waqas Tahir
- Affinity CareThornton & Denholme Medical CentreBradfordUK
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22
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Phuong VTM, Chi VTQ, Di Khanh N, Duc TQ, Hoang NH. Associations between dose-response of serum creatinine and type 2 diabetes mellitus risk: consistent and robust evidence from a systematic review and meta-analysis. Expert Rev Endocrinol Metab 2025; 20:153-161. [PMID: 39692558 DOI: 10.1080/17446651.2024.2436890] [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: 07/29/2024] [Accepted: 11/22/2024] [Indexed: 12/19/2024]
Abstract
BACKGROUND Skeletal muscle is the key target of insulin action. Therefore, a reduction in skeletal muscle mass may trigger insulin resistance, a mechanism of diabetes. Creatinine is the only metabolite of creatine phosphate in the skeletal muscle. Exploring the association between serum creatinine level and T2DM is helpful for the early identification and prevention of T2DM. RESEARCH DESIGN AND METHODS Five electronic databases, PubMed, Scopus, Web of Science, Embase, and Epistemonikos, were searched for relevant articles published up to June 2024. Cohort studies and case-control studies were evaluated using the Joanna Briggs Institute (JBI) checklist. The random-effects model calculated the pooled risk ratio and 95% confidence intervals (CIs) based on a heterogeneity test (I2 statistics). Egger's test was used to evaluate publication bias. RESULTS The pooled RR of diabetes type 2 for the lowest versus the highest serum creatinine was 1.39 (95% CI: 1.17-1.64); I2 = 90.1%; p = 0.002. We found a non-linear association between low serum creatinine level and T2DM risk (pNonlinearity = 0.02), and a decrease of each 0.1 mg/dL serum creatinine increases 1% risk of T2DM [RR = 1.49 (95% CI: 1.17-2.82), I2 = 0%, p = 0.999]. CONCLUSIONS This meta-analysis offers evidence of the negative relationship between serum creatinine levels and the risk of developing T2DM in a linear dose-response pattern.
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Affiliation(s)
- Vu Thi Minh Phuong
- Pre-clinical Practice Center, Nam Dinh University of Nursing, Namdinh, Vietnam
| | - Vu Thi Quynh Chi
- School of Medicine and Pharmacy, The University of Danang, Danang, Vietnam
| | - Nguyen Di Khanh
- Faculty of Technology, Dong Nai Technology University, Bien Hoa City, Vietnam
| | - Tran Quang Duc
- Faculty of Technology, Dong Nai Technology University, Bien Hoa City, Vietnam
| | - Ngo Huy Hoang
- Pre-clinical Practice Center, Nam Dinh University of Nursing, Namdinh, Vietnam
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23
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Liu Z, Lu J, Sha W, Lei T. Comprehensive treatment of diabetic endothelial dysfunction based on pathophysiological mechanism. Front Med (Lausanne) 2025; 12:1509884. [PMID: 40093018 PMCID: PMC11906411 DOI: 10.3389/fmed.2025.1509884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2024] [Accepted: 01/24/2025] [Indexed: 03/19/2025] Open
Abstract
Vascular endothelium is integral to the regulation of vascular homeostasis and maintenance of normal arterial function in healthy individuals. Endothelial dysfunction is a significant contributor to the advancement of atherosclerosis, which can precipitate cardiovascular complications. A notable correlation exists between diabetes and endothelial dysfunction, wherein chronic hyperglycemia and acute fluctuations in glucose levels exacerbate oxidative stress. This results in diminished nitric oxide synthesis and heightened production of endothelin-1, ultimately leading to endothelial impairment. In clinical settings, it is imperative to implement appropriate therapeutic strategies aimed at enhancing endothelial function to prevent and manage diabetes-associated vascular complications. Various antidiabetic agents, including insulin, GLP-1 receptor agonists, sulfonylureas, DPP-4 inhibitors, SGLT2 inhibitors, α-glucosidase inhibitors, thiazolidinediones (TZDs), and metformin, are effective in mitigating blood glucose variability and improving insulin sensitivity by lowering postprandial glucose levels. Additionally, traditional Chinese medicinal compounds, such as turmeric extract, resveratrol, matrine alkaloids, tanshinone, puerarin, tanshinol, paeonol, astragaloside, berberine, and quercetin, exhibit hypoglycemic properties and enhance vascular function through diverse mechanisms. Consequently, larger randomized controlled trials involving both pharmacological and herbal interventions are essential to elucidate their impact on endothelial dysfunction in patients with diabetes. This article aims to explore a comprehensive approach to the treatment of diabetic endothelial dysfunction based on an understanding of its pathophysiology.
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Affiliation(s)
- Zhao Liu
- Department of Endocrinology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jun Lu
- Department of Endocrinology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wenjun Sha
- Department of Endocrinology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Tao Lei
- Department of Endocrinology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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24
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Hsiao YY, Chen YY, Kuo MJ, Chien YS, Li GY, Wu SJ, Lin WL, Chiu SF, Li CH, Lin JC, Lin CH, Huang JL, Hsieh YC, Chen SA. SGLT2i and Cardiovascular Events in Patients With Concomitant Atrial Fibrillation and Diabetes: A TriNetX Cohort Study. J Clin Endocrinol Metab 2025:dgae861. [PMID: 39998428 DOI: 10.1210/clinem/dgae861] [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: 09/04/2024] [Indexed: 02/26/2025]
Abstract
AIMS Sodium-glucose co-transporter 2 inhibitors (SGLT2i) enhance cardiovascular outcomes in individuals with type 2 diabetes mellitus (T2DM). Whether such effects also occur in T2DM patients with atrial fibrillation (AF) remains unknown. We aimed to investigate SGLT2i use on cardiovascular outcomes in patients with concomitant AF and T2DM. METHODS Patients with both AF and T2DM were identified from TriNetX, an international electronic medical record. Participants were divided into 2 groups according to their use of SGLT2i, at a 1:1 distribution through propensity score matching (PSM). The hazard ratio (HR) for clinical outcomes was determined using multivariate Cox hazards regression model. RESULTS We studied 339 792 patients with AF and T2DM, with 32 945 (9.70%) SGLT2i users. Following PSM, 17 011 patients aged 68.4 ± 7.9 years were included in each group. After a 3-year follow-up, patients treated with SGLT2i showed significantly reduced risks of stroke (adjusted HR: 0.830, P < .001), dementia (adjusted HR: 0.662, P < .001), long-standing persistent AF (adjusted HR: 0.917, P < .001), heart failure (adjusted HR: 0.833, P < .001), and all-cause mortality (adjusted HR: 0.532, P < .001). CONCLUSION The use of SGLT2i was associated with reduced risks of stroke, dementia, long-standing persistent AF, heart failure, and mortality in patients with both AF and T2DM. SGLT2i may be considered as a potential first-line therapy for this population.
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Affiliation(s)
- Yu-Yu Hsiao
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 407219, Taiwan
| | - Yun-Yu Chen
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 407219, Taiwan
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, National Yang-Ming Chiao Tung University School of Medicine, Taipei 112304, Taiwan
- Department of Medical Research, Taichung Veterans General Hospital, Taichung 407219, Taiwan
- Heart Rhythm Center and Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 112201, Taiwan
- Department of Post-Baccalaureate Medicine, National Chung Hsing University School of Medicine, Taichung 402202, Taiwan
| | - Ming-Jen Kuo
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 407219, Taiwan
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, National Yang-Ming Chiao Tung University School of Medicine, Taipei 112304, Taiwan
- Department of Post-Baccalaureate Medicine, National Chung Hsing University School of Medicine, Taichung 402202, Taiwan
- Department of Data Science and Big Data Analytics, and Department of Financial Engineering, Providence University, Taichung 43301, Taiwan
| | - Yu-Shan Chien
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 407219, Taiwan
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, National Yang-Ming Chiao Tung University School of Medicine, Taipei 112304, Taiwan
- Department of Post-Baccalaureate Medicine, National Chung Hsing University School of Medicine, Taichung 402202, Taiwan
- Department of Data Science and Big Data Analytics, and Department of Financial Engineering, Providence University, Taichung 43301, Taiwan
| | - Guan-Yi Li
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 407219, Taiwan
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, National Yang-Ming Chiao Tung University School of Medicine, Taipei 112304, Taiwan
- Department of Post-Baccalaureate Medicine, National Chung Hsing University School of Medicine, Taichung 402202, Taiwan
| | - Shang-Ju Wu
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 407219, Taiwan
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, National Yang-Ming Chiao Tung University School of Medicine, Taipei 112304, Taiwan
- Department of Post-Baccalaureate Medicine, National Chung Hsing University School of Medicine, Taichung 402202, Taiwan
- Department of Data Science and Big Data Analytics, and Department of Financial Engineering, Providence University, Taichung 43301, Taiwan
| | - Wei-Lun Lin
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 407219, Taiwan
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, National Yang-Ming Chiao Tung University School of Medicine, Taipei 112304, Taiwan
- Department of Medical Research, Taichung Veterans General Hospital, Taichung 407219, Taiwan
- Department of Post-Baccalaureate Medicine, National Chung Hsing University School of Medicine, Taichung 402202, Taiwan
| | - Shu-Fen Chiu
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 407219, Taiwan
| | - Cheng-Hung Li
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 407219, Taiwan
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, National Yang-Ming Chiao Tung University School of Medicine, Taipei 112304, Taiwan
- Department of Post-Baccalaureate Medicine, National Chung Hsing University School of Medicine, Taichung 402202, Taiwan
- Department of Data Science and Big Data Analytics, and Department of Financial Engineering, Providence University, Taichung 43301, Taiwan
| | - Jiunn-Cherng Lin
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 407219, Taiwan
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, National Yang-Ming Chiao Tung University School of Medicine, Taipei 112304, Taiwan
- Department of Post-Baccalaureate Medicine, National Chung Hsing University School of Medicine, Taichung 402202, Taiwan
- Department of Data Science and Big Data Analytics, and Department of Financial Engineering, Providence University, Taichung 43301, Taiwan
| | - Ching-Heng Lin
- Department of Medical Research, Taichung Veterans General Hospital, Taichung 407219, Taiwan
| | - Jin-Long Huang
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 407219, Taiwan
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, National Yang-Ming Chiao Tung University School of Medicine, Taipei 112304, Taiwan
- Department of Post-Baccalaureate Medicine, National Chung Hsing University School of Medicine, Taichung 402202, Taiwan
- Department of Medical Education, Taichung Veterans General Hospital, Taichung 407219, Taiwan
| | - Yu-Cheng Hsieh
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 407219, Taiwan
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, National Yang-Ming Chiao Tung University School of Medicine, Taipei 112304, Taiwan
- Department of Medical Research, Taichung Veterans General Hospital, Taichung 407219, Taiwan
- Department of Post-Baccalaureate Medicine, National Chung Hsing University School of Medicine, Taichung 402202, Taiwan
- Department of Data Science and Big Data Analytics, and Department of Financial Engineering, Providence University, Taichung 43301, Taiwan
| | - Shih-Ann Chen
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 407219, Taiwan
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, National Yang-Ming Chiao Tung University School of Medicine, Taipei 112304, Taiwan
- Heart Rhythm Center and Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 112201, Taiwan
- Department of Post-Baccalaureate Medicine, National Chung Hsing University School of Medicine, Taichung 402202, Taiwan
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Tsushima Y, Galloway N. Glycemic Targets and Prevention of Complications. J Clin Endocrinol Metab 2025; 110:S100-S111. [PMID: 39998919 DOI: 10.1210/clinem/dgae776] [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: 06/07/2024] [Indexed: 02/27/2025]
Abstract
CONTEXT Complications of diabetes mellitus have significant impacts on morbidity, mortality, quality of life, and health costs for individuals. Setting and achieving glycemic targets to prevent these complications is a top priority when managing diabetes. However, patients often already have complications when diagnosed with diabetes mellitus. Therefore, methods to prevent disease progression become a crucial component of diabetes management. The purpose of this article is to review glycemic targets and methods of screening and managing diabetes-related complications. EVIDENCE ACQUISITION A PubMed review of the literature pertaining to diabetes mellitus, glycemic targets, microvascular complications, and macrovascular complications was conducted. We reviewed articles published between 1993 and 2024. Guidelines published by nationally recognized organizations in the fields of diabetes, nephrology, and cardiology were referenced. Public health statistics obtained by the Center for Disease Control and Prevention and the National Kidney Foundation were used. EVIDENCE SYNTHESIS Achieving glycemic targets and screening for diabetes-related complications at appropriate intervals remains the key factor for early detection and intervention. An algorithmic approach to glycemic management based on individual risk factors is beneficial in choosing pharmacotherapy. CONCLUSION The consequences of diabetes-related complications can be detrimental. However, achieving and maintaining glycemic targets combined with diligent screening, reduction of risk factors, and prompt treatment can halt disease progression.
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Affiliation(s)
- Yumiko Tsushima
- Department of Internal Medicine, University Hospitals Cleveland Medical Center, Diabetes and Metabolic Care Center, Cleveland, OH 44106, USA
| | - Nicholas Galloway
- Department of Internal Medicine, University Hospitals Cleveland Medical Center, Diabetes and Metabolic Care Center, Cleveland, OH 44106, USA
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Liu D, Li N, Zhu Y, Chen Q, Feng J. Asymmetric U-shaped relationship between blood glucose and white matter lesions: results of a cross-sectional study. BMC Neurol 2025; 25:65. [PMID: 39953442 PMCID: PMC11827292 DOI: 10.1186/s12883-025-04077-9] [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: 12/18/2023] [Accepted: 02/07/2025] [Indexed: 02/17/2025] Open
Abstract
BACKGROUND Elderly individuals are susceptible to the accrual of White Matter Lesions (WMLs), a subcategory of cerebral small-vessel disease. WMLs are strongly linked to an increased risk of strokes, intracerebral hemorrhages, and dementia. While the relationship between blood glucose levels and the development of WMLs has been investigated in previous studies, the findings remain inconsistent. Some evidence suggests that glucose dysregulation, including both hypo- and hyperglycemia, may contribute to WML formation through mechanisms such as endothelial dysfunction and chronic inflammation. However, other studies report no significant correlation. This inconsistency underscores the need for further investigation. METHODS In this investigation, the primary data were derived from a predictive mathematical model designed to estimate WMLs based on parameters obtained from routine medical examinations, with head MRI scans serving as the reference standard for WML diagnosis and quantification. We leveraged multivariable logistic regression analysis to scrutinize the relationship between blood glucose concentrations and WMLs. Additionally, we employed a restricted cubic spline regression model to investigate a potential non-linear relationship between these variables. RESULTS There were 1904 participants who underwent medical check-ups which included a head MRI. Generally, the relationship between blood glucose levels and white matter lesions followed an asymmetric U-shaped curve (P for non-linearity = 0.004). A consistent finding was that compared to the individuals in the 2nd and 3rd quartiles (95 to 107 mg/dl), the 1st quartile (OR, 1.71; 95% CI: 1.26-2.30) and 4th quartile (OR, 1.57; 95%CI: 1.12-2.20) had white matter lesions were significantly higher. CONCLUSION An asymmetric U-shaped relationship exists between blood glucose and WMLs, with the lowest risk occurring at 95-107 mg/dl. Management of blood glucose can help prevent the occurrence and development of WMLs. However, the study's cross-sectional design limits causal inference, and the reliance on pre-existing data constrained the availability of variables.
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Affiliation(s)
- Dayuan Liu
- Department of Neurosurgery, The Second Affiliated Hospital of Hainan Medical University, 368 Yehai Avenue, Longhua District, Haikou City, Hainan Province, 570311, China
| | - Ning Li
- Department of Neurosurgery, The Second Affiliated Hospital of Hainan Medical University, 368 Yehai Avenue, Longhua District, Haikou City, Hainan Province, 570311, China
| | - Yubo Zhu
- Department of Neurosurgery, The Second Affiliated Hospital of Hainan Medical University, 368 Yehai Avenue, Longhua District, Haikou City, Hainan Province, 570311, China
| | - Qianhua Chen
- Hainan Medical University, No.3 Xueyuan Road, Longhua District, Haikou City, Hainan Province, 571199, China
| | - Jigao Feng
- Department of Neurosurgery, The Second Affiliated Hospital of Hainan Medical University, 368 Yehai Avenue, Longhua District, Haikou City, Hainan Province, 570311, China.
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Zhu S, Liu L, Zhao Y, Ye B, He J, Li W, Xu Y, Zhu J, Xia M, Liu Y. Microbiota-derived 3-Methyl-L-histidine mediates the proatherogenic effect of high chicken protein diet. MedComm (Beijing) 2025; 6:e70090. [PMID: 39949981 PMCID: PMC11822454 DOI: 10.1002/mco2.70090] [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: 07/06/2024] [Revised: 12/28/2024] [Accepted: 01/09/2025] [Indexed: 02/16/2025] Open
Abstract
Diet rich in chicken protein has gained a widespread popularity for its profound effect on weight loss and glycemic control; however, its long-term effect on cardiovascular health and the underlying mechanisms remains obscure. Here, we demonstrated that higher intake of chicken protein was an independent risk factor for sub-clinical atherosclerosis. Adherence to high chicken protein diet (HCD) alleviated excessive weight gain and glycemic control regardless of the presence of gut microbiota in apolipoprotein E-deficient mice. In contrast, long-term HCD administration enhanced intestinal cholesterol absorption and accelerated atherosclerotic plaque formation in a gut microbiota-dependent manner. Integrative analysis of 16S rDNA sequencing and metabolomics profiling identified 3-Methyl-L-histidine (3-MH), resulting from an enrichment of Lachnospiraceae, as the key microbial effector to the atherogenic effect of HCD. Mechanistically, 3-MH facilitated the binding of hepatocyte nuclear factor 1A (HNF1A) to the promoter of NPC1-like intracellular cholesterol transporter 1 (NPC1L1), whereas inhibition of HNF1A-NPC1L1 axis abolished the atherogenic effect of 3-MH. Our findings uncovered a novel link between microbiota-derived 3-MH and disturbed cholesterol homeostasis, which ultimately accelerated atherosclerosis, and argued against the recommendation of HCD as weight loss regimens considering its adverse role in vascular health.
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Affiliation(s)
- Shanshan Zhu
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public HealthSun Yat‐sen UniversityGuangzhouP. R. China
| | - Ludi Liu
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Statistics and Epidemiology, School of Public HealthSun Yat‐sen UniversityGuangzhouP. R. China
| | - Yawen Zhao
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public HealthSun Yat‐sen UniversityGuangzhouP. R. China
| | - Bingqi Ye
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Statistics and Epidemiology, School of Public HealthSun Yat‐sen UniversityGuangzhouP. R. China
| | - Jialin He
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public HealthSun Yat‐sen UniversityGuangzhouP. R. China
| | - Wenkang Li
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public HealthSun Yat‐sen UniversityGuangzhouP. R. China
| | - Yingxi Xu
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Statistics and Epidemiology, School of Public HealthSun Yat‐sen UniversityGuangzhouP. R. China
| | - Jiangyuan Zhu
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public HealthSun Yat‐sen UniversityGuangzhouP. R. China
| | - Min Xia
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public HealthSun Yat‐sen UniversityGuangzhouP. R. China
| | - Yan Liu
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public HealthSun Yat‐sen UniversityGuangzhouP. R. China
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Gan L, Zhao J, Yao P, Christopher TA, Lopez B, Lau WB, Koch W, Gao E, Ma X, Wang Y. Adipocyte-derived small extracellular vesicles exacerbate diabetic ischemic heart injury by promoting oxidative stress and mitochondrial-mediated cardiomyocyte apoptosis. Redox Biol 2025; 79:103443. [PMID: 39740363 PMCID: PMC11750569 DOI: 10.1016/j.redox.2024.103443] [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: 10/29/2024] [Revised: 11/23/2024] [Accepted: 11/25/2024] [Indexed: 01/02/2025] Open
Abstract
BACKGROUND Diabetes increases ischemic heart injury via incompletely understood mechanisms. We recently reported that diabetic adipocytes-derived small extracellular vesicles (sEV) exacerbate myocardial reperfusion (MI/R) injury by promoting cardiomyocyte apoptosis. Combining in vitro mechanistic investigation and in vivo proof-concept demonstration, we determined the underlying molecular mechanism responsible for diabetic sEV-induced cardiomyocyte apoptosis after MI/R. METHODS AND RESULTS Adult mice were fed a high-fat diet (HFD) for 12 weeks. sEV were isolated from plasma or epididymal adipose tissue. HFD significantly increased the number and size of plasma- and adipocyte-derived sEV. Intramyocardial injection of an equal number of diabetic plasma sEV in nondiabetic hearts significantly increased cardiac apoptosis and exacerbated MI/R-induced cardiac dysfunction. Diabetic plasma sEV significantly activated cardiac caspase 9 but not caspase 8, suggesting that diabetic sEV induces cardiac apoptosis via the mitochondrial pathway. These pathologic alterations were phenotyped by intramyocardial injection of sEV isolated from diabetic adipocytes or HGHL-challenged 3T3L1 adipocytes. To obtain direct evidence that diabetic sEV promotes cardiomyocyte apoptotic cell death, isolated neonatal rat ventricular cardiomyocytes (NRVMs) were treated with sEV and subjected to simulated ischemia/reperfusion (SI/R). Treatment of cardiomyocytes with sEV from diabetic plasma, diabetic adipocytes, or HGHL-challenged 3T3L1 adipocytes significantly enhanced SI/R-induced apoptosis and reduced cell viability. These pathologic effects were replicated by a miR-130b-3p (a molecule increased dramatically in diabetic sEV) mimic and blocked by a miRb-130b-3p inhibitor. Molecular studies identified PGC-1α (i.e. PGC-1α1/-a) as the direct downstream target of miR-130b-3p, whose downregulation causes mitochondrial dysfunction and apoptosis. Finally, treatment with diabetic adipocyte-derived sEV or a miR-130b-3p mimic significantly enhanced mitochondrial reactive oxygen species (ROS) production in SI/R cardiomyocytes. Conversely, treatment with a miR-130b-3p inhibitor or overexpression of PGC-1α extremely attenuated diabetic sEV-induced ROS production. CONCLUSION We obtained the first evidence that diabetic sEV promotes oxidative stress and mitochondrial-mediated cardiomyocyte apoptotic cell death, exacerbating MI/R injury. These pathological phenotypes were mediated by miR-130b-3p-induced suppression of PGC-1α expression and subsequent mitochondrial ROS production. Targeting miR-130b-3p mediated cardiomyocyte apoptosis may be a novel strategy for attenuating diabetic exacerbation of MI/R injury.
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Affiliation(s)
- Lu Gan
- Department of Emergency Medicine, Thomas Jefferson University, Philadelphia, PA, USA.
| | - Jianli Zhao
- Department of Biomedical Engineering, UAB, Birmingham, AL, USA
| | - Peng Yao
- Department of Emergency Medicine, Thomas Jefferson University, Philadelphia, PA, USA
| | | | - Bernard Lopez
- Department of Emergency Medicine, Thomas Jefferson University, Philadelphia, PA, USA
| | - Wayne B Lau
- Department of Emergency Medicine, Thomas Jefferson University, Philadelphia, PA, USA
| | - Walter Koch
- Department of Cardiovascular Science, Temple University, Philadelphia, PA, USA
| | - Erhe Gao
- Department of Cardiovascular Science, Temple University, Philadelphia, PA, USA
| | - Xinliang Ma
- Department of Emergency Medicine, Thomas Jefferson University, Philadelphia, PA, USA
| | - Yajing Wang
- Department of Emergency Medicine, Thomas Jefferson University, Philadelphia, PA, USA; Department of Biomedical Engineering, UAB, Birmingham, AL, USA.
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Huang CN, Chen HM, Su BY. Type 2 diabetes mellitus: A cross-sectional analysis of glycemic controls and brain health outcomes. APPLIED NEUROPSYCHOLOGY. ADULT 2025:1-8. [PMID: 39832208 DOI: 10.1080/23279095.2025.2450084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2025]
Abstract
In this cross-sectional analysis, we explored how fluctuations in glycemic levels impact executive functions and psychosocial outcomes in patients with type 2 diabetes mellitus (T2DM). The goal was to understand the relationship between glycemic control and both neuropsychological and psychosocial health. We stratified participants into well-controlled and poorly controlled groups based on glycated hemoglobin (HbA1c) levels and variability, including a healthy control group for comparison. The study consisted of neuropsychological tests and psychosocial assessments. Results indicated that the poorly controlled T2DM group experienced significant executive dysfunction and scored lower on the Tower of London, Wisconsin Card Sorting, and Digit Span Tests, reflecting a broader impact on quality of life and resilience. These findings support the importance of maintaining stable glycemic levels for better executive and psychosocial outcomes and highlight the need for regular neuropsychological and psychosocial assessments in diabetes care.
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Affiliation(s)
- Chien-Ning Huang
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Hsiao-Mei Chen
- Department of Nursing, Chung Shan Medical University, Taichung, Taiwan
- Department of Nursing, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Bei-Yi Su
- Department of Psychology, Chung Shan Medical University, Taichung, Taiwan
- Clinical Psychological Room, Chung Shan Medical University Hospital, Taichung, Taiwan
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Frederico MJS, Sulis PM, Pereira LL, Rey D, Aragón M, Silva FRMB. Potential Effect of Cinnamaldehyde on Insulin Resistance Is Mediated by Glucose and Lipid Homeostasis. Nutrients 2025; 17:297. [PMID: 39861427 PMCID: PMC11767522 DOI: 10.3390/nu17020297] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2024] [Revised: 01/05/2025] [Accepted: 01/14/2025] [Indexed: 01/27/2025] Open
Abstract
Diabetes mellitus is a metabolic syndrome that has grown globally to become a significant public health challenge. Hypothesizing that the plasma membrane protein, transient receptor potential ankyrin-1, is a pivotal target in insulin resistance, we investigated the mechanism of action of cinnamaldehyde (CIN), an electrophilic TRPA1 agonist, in skeletal muscle, a primary insulin target. Specifically, we evaluated the effect of CIN on insulin resistance, hepatic glycogen accumulation and muscle and adipose tissue glucose uptake. Furthermore, the in vitro role of CIN in glucose uptake and intracellular signaling was determined in insulin-resistant rats whose calcium influx was analyzed. Moreover, the serum lipid profile was assessed following short-term CIN treatment in rats, and lipid tolerance was analyzed. The effects of CIN on insulin resistance were mediated by TRPA1, with downstream signaling involving the activation of PI3-K, MAPK, PKC, as well as extracellular calcium and calcium release from intracellular stores. Additionally, cytoskeleton integrity was required for the complete action of CIN on glucose uptake in muscle. CIN also ameliorated the serum lipid profile and improved triglyceride tolerance following acute vivo exposure.
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Affiliation(s)
- Marisa Jadna Silva Frederico
- Instituto de Bioeletricidade Celular (IBIOCEL): Ciência & Saúde, Departamento de Bioquímica, Centro de Ciências Biológicas, Universidade Federal de Santa Catarina, Rua João Pio Duarte Silva, 241, Sala G 301, Florianópolis 88038-000, SC, Brazil; (M.J.S.F.); (P.M.S.); (L.L.P.); (D.R.)
- Laboratório de Bioquímica e Farmacologia, Departamento de Farmacologia e Fisiologia, Núcleo de Pesquisa e Desenvolvimento de Medicamentos, Escola de Medicina, Universidade Federal do Ceará, Rua Coronel Nunes de Melo, Fortaleza 60430-275, CE, Brazil
| | - Paola Miranda Sulis
- Instituto de Bioeletricidade Celular (IBIOCEL): Ciência & Saúde, Departamento de Bioquímica, Centro de Ciências Biológicas, Universidade Federal de Santa Catarina, Rua João Pio Duarte Silva, 241, Sala G 301, Florianópolis 88038-000, SC, Brazil; (M.J.S.F.); (P.M.S.); (L.L.P.); (D.R.)
| | - Landerson Lopes Pereira
- Instituto de Bioeletricidade Celular (IBIOCEL): Ciência & Saúde, Departamento de Bioquímica, Centro de Ciências Biológicas, Universidade Federal de Santa Catarina, Rua João Pio Duarte Silva, 241, Sala G 301, Florianópolis 88038-000, SC, Brazil; (M.J.S.F.); (P.M.S.); (L.L.P.); (D.R.)
| | - Diana Rey
- Instituto de Bioeletricidade Celular (IBIOCEL): Ciência & Saúde, Departamento de Bioquímica, Centro de Ciências Biológicas, Universidade Federal de Santa Catarina, Rua João Pio Duarte Silva, 241, Sala G 301, Florianópolis 88038-000, SC, Brazil; (M.J.S.F.); (P.M.S.); (L.L.P.); (D.R.)
- Departamento de Farmacia, Universidad Nacional de Colombia, Av. Carrera 30 # 45-03 Edif. 450, Bogotá 111321, Colombia;
| | - Marcela Aragón
- Departamento de Farmacia, Universidad Nacional de Colombia, Av. Carrera 30 # 45-03 Edif. 450, Bogotá 111321, Colombia;
| | - Fátima Regina Mena Barreto Silva
- Instituto de Bioeletricidade Celular (IBIOCEL): Ciência & Saúde, Departamento de Bioquímica, Centro de Ciências Biológicas, Universidade Federal de Santa Catarina, Rua João Pio Duarte Silva, 241, Sala G 301, Florianópolis 88038-000, SC, Brazil; (M.J.S.F.); (P.M.S.); (L.L.P.); (D.R.)
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Fuchigami A, Kojimahara Y, Yoshikawa F, Higa M, Ichijyo T, Ikehara K, Uchino H, Hirose T. Glycemic variability and quality of life outcomes after changing to hybrid closed-loop system in Japanese individuals with type 1 diabetes using a conventional predictive low-glucose suspended insulin pump system. Diabetol Int 2025; 16:123-130. [PMID: 39877442 PMCID: PMC11769885 DOI: 10.1007/s13340-024-00778-7] [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: 05/29/2024] [Accepted: 11/10/2024] [Indexed: 01/31/2025]
Abstract
The hybrid closed-loop (HCL) system, Medtronic MiniMed™ 770G, has been available for use by Japanese individuals with type 1 diabetes mellitus since 2021. The aim of this study was to evaluate the effect of its use on glycemic variability and quality of life (QOL) in this population. This multicenter, open-label, prospective observational study included 14 Japanese individuals with type 1 diabetes mellitus treated with MiniMed™ 640G. Participants who switched to the 770G system were evaluated for time in range (TIR) and other glycemic outcomes at baseline and at 3 and 12 months post-transition. QOL was assessed using the Diabetes Therapy-Related QOL (DTR-QOL) scale. The mean baseline glycated hemoglobin was 7.52 ± 1.05%, and body mass index (BMI) was 21.78 ± 3.07 kg/m2. By study completion, individuals used the HCL system approximately 80% of the time in a day. TIR showed improvement, with an increased achievement ratio of TIR > 70% at 12 months. Hypoglycemia occurrence was minimal at 12 months. In addition, all-time sensor glucose measurements decreased after 12 months, and there were no significant changes in BMI or daily insulin dose. DTR-QOL scores did not significantly differ, possibly owing to increased total alarms and sensor calibration times. Transitioning to the Medtronic MiniMed™ 770G system led to an improved achievement ratio of TIR > 70% and reduced hyperglycemia at 12 months. However, no significant change in QOL was observed, probably because of the increased number of total alarms. Supplementary Information The online version contains supplementary material available at 10.1007/s13340-024-00778-7.
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Affiliation(s)
- Ayako Fuchigami
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Toho University Graduate School of Medicine, 6-11-1 Omori-Nishi, Ota-ku, Tokyo 143-8541 Japan
| | - Yuki Kojimahara
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Toho University Graduate School of Medicine, 6-11-1 Omori-Nishi, Ota-ku, Tokyo 143-8541 Japan
| | - Fukumi Yoshikawa
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Toho University Graduate School of Medicine, 6-11-1 Omori-Nishi, Ota-ku, Tokyo 143-8541 Japan
| | - Mariko Higa
- Department of Diabetes and Endocrinology, Saiseikai Yokohamashi Tobu Hospital, 3-6-1 Shimosueyoshi, Tsurumiku, Yokohama, Tokyo 230-0012 Japan
| | - Takamasa Ichijyo
- Department of Diabetes and Endocrinology, Saiseikai Yokohamashi Tobu Hospital, 3-6-1 Shimosueyoshi, Tsurumiku, Yokohama, Tokyo 230-0012 Japan
| | - Kayoko Ikehara
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Toho University Graduate School of Medicine, 6-11-1 Omori-Nishi, Ota-ku, Tokyo 143-8541 Japan
- Department of Diabetes and Endocrinology, Saiseikai Yokohamashi Tobu Hospital, 3-6-1 Shimosueyoshi, Tsurumiku, Yokohama, Tokyo 230-0012 Japan
| | - Hiroshi Uchino
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Toho University Graduate School of Medicine, 6-11-1 Omori-Nishi, Ota-ku, Tokyo 143-8541 Japan
| | - Takahisa Hirose
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Toho University Graduate School of Medicine, 6-11-1 Omori-Nishi, Ota-ku, Tokyo 143-8541 Japan
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Bilal A, Pratley R. Diabetes and cardiovascular disease in older adults. Ann N Y Acad Sci 2025; 1543:42-67. [PMID: 39666834 DOI: 10.1111/nyas.15259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2024]
Abstract
An aging population combined with a rapidly increasing prevalence of diabetes foreshadows a global epidemic of cardiovascular and kidney disease that threatens to halt improvements in life and health-span and will have particularly severe consequences in older adults. The management of diabetes has been transformed with the recent development of newer anti-hyperglycemic agents that have demonstrated superior efficacy. However, the utility of these drugs extends beyond glycemic control to benefits for managing obesity, cardiovascular disease (CVD), chronic kidney disease, and heart failure. Numerous cardiovascular and kidney outcomes trials of these drugs have played an instrumental role in shaping current guidelines for the management of diabetes and CVD. Older adults with diabetes are diverse in terms of their comorbidities, diabetic complications, and cognitive and functional status. Therefore, there is an unmet need for personalized management of diabetes and CVD in this population. In this review, we provide an overview of the epidemiological burden and management of diabetes and CVD in older adults. We then focus on randomized cardiovascular and kidney outcome trials with anti-hyperglycemic agents to propose an evidence-based approach to the management of diabetes in older adults with high risk of cardiovascular and kidney disease.
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Affiliation(s)
- Anika Bilal
- AdventHealth Translational Research Institute, Orlando, Florida, USA
| | - Richard Pratley
- AdventHealth Translational Research Institute, Orlando, Florida, USA
- AdventHealth Diabetes Institute, Orlando, Florida, USA
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De Block C, Peleshok J, Wilding JPH, Kwan AYM, Rasouli N, Maldonado JM, Wysham C, Liu M, Aleppo G, Benneyworth BD. Post Hoc Analysis of SURPASS-1 to -5: Efficacy and Safety of Tirzepatide in Adults with Type 2 Diabetes are Independent of Baseline Characteristics. Diabetes Ther 2025; 16:43-71. [PMID: 39531161 PMCID: PMC11759727 DOI: 10.1007/s13300-024-01660-0] [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: 09/13/2024] [Accepted: 10/08/2024] [Indexed: 11/16/2024] Open
Abstract
INTRODUCTION Newer incretin-based therapies for type 2 diabetes (T2D) have the potential to substantially reduce glycated hemoglobin (HbA1c) and weight with a low associated risk of hypoglycemia. This study aimed to assess the percentage of participants randomized to tirzepatide or comparator who achieved the composite endpoint of HbA1c ≤ 6.5% and weight reduction ≥ 10% without hypoglycemia across prespecified baseline characteristics: T2D duration (≤ 5, > 5-10, or > 10 years), sex, HbA1c (≤ 8.5% or > 8.5%), age (< 65 or ≥ 65 years), and body mass index (< 30, 30 to < 35, or ≥ 35 kg/m2). METHODS This post hoc analysis of SURPASS-1 through -5 evaluated adult study participants with T2D treated with tirzepatide 5, 10, or 15 mg versus placebo or active comparator. Missing HbA1c and weight values were imputed from mixed models for repeated measures. Logistic regression was used to compare tirzepatide versus comparators for the percentage of participants reaching the composite endpoint. RESULTS Across subgroups, the composite endpoint was achieved by a median of approximately 30%, 45%, and 54% of participants who received tirzepatide 5, 10, and 15 mg, respectively; this was consistent across baseline subgroups, except that a greater percentage of women than men achieved the composite endpoint. The most common treatment-emergent adverse events were gastrointestinal in nature. CONCLUSIONS In this post hoc analysis, tirzepatide achieved the composite outcome of glycemic control and weight loss with no hypoglycemia, irrespective of baseline characteristics. This may help clinicians as they select suitable treatment in diverse populations. TRIAL REGISTRATION ClinicalTrials.gov: NCT03954834, NCT03987919, NCT03882970. NCT03730662, and NCT04039503.
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Affiliation(s)
| | - Jennifer Peleshok
- Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, 46285, USA
| | | | - Anita Y M Kwan
- Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, 46285, USA
| | - Neda Rasouli
- University of Colorado School of Medicine, Aurora, CO, USA
| | - Juan M Maldonado
- Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, 46285, USA
| | | | - Minzhi Liu
- Tigermed-BDM Consulting, Inc, Somerset, NJ, USA
| | - Grazia Aleppo
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Brian D Benneyworth
- Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, 46285, USA.
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Bilal A. Understanding Diabetes Overtreatment in Older Adults: Are We at an Intersection? Diabetes Care 2025; 48:47-49. [PMID: 39705553 DOI: 10.2337/dci24-0075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2024] [Accepted: 10/02/2024] [Indexed: 12/22/2024]
Affiliation(s)
- Anika Bilal
- AdventHealth Translational Research Institute, Orlando, FL
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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, Echouffo-Tcheugui JB, Ekhlaspour L, Garg R, Khunti K, Lal R, Lingvay I, Matfin G, Napoli N, Pandya N, Pekas EJ, Pilla SJ, Polsky S, Segal AR, Seley JJ, Stanton RC, Bannuru RR. 13. Older Adults: Standards of Care in Diabetes-2025. Diabetes Care 2025; 48:S266-S282. [PMID: 39651977 PMCID: PMC11635042 DOI: 10.2337/dc25-s013] [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] [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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Makam S, Stein LK, Dhamoon MS. Hypoglycemic Events May Trigger Acute Ischemic Stroke Within 30 Days in Those With Diabetes: A Case-Crossover Study. Stroke 2025; 56:122-127. [PMID: 39575566 DOI: 10.1161/strokeaha.124.049178] [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: 06/02/2024] [Revised: 10/17/2024] [Accepted: 10/31/2024] [Indexed: 12/22/2024]
Abstract
BACKGROUND Stroke triggers are factors that may precipitate a stroke within a given time interval and can predict the timing of a stroke. While hypoglycemia has been established as a risk factor for cardiovascular events such as acute ischemic stroke (AIS), there is limited research demonstrating hypoglycemic events as stroke triggers. We hypothesize an association between hypoglycemic events and the occurrence of stroke among patients with diabetes. METHODS We used Medicare inpatient, outpatient, emergency department, and subacute nursing facility data sets from January 1, 2016, to December 31, 2019, and validated using International Classification of Diseases, Tenth Revision, Clinical Modification codes to identify conditions. We used a case-crossover study design, testing whether exposure to a hypoglycemia encounter within progressively longer case periods (up to 30 days before index AIS) was associated with the subsequent occurrence of AIS, compared with control periods of equal length exactly 1 year before the case period. We used conditional logistical regression models to estimate odds ratios and 95% CIs. RESULTS There were 237 667 index admissions with AIS and diabetes during the study period. There were increased odds of AIS following an encounter with hypoglycemia. The risk was the highest immediately on the first day following the hypoglycemia encounter (odds ratio, 3.694 [95% CI, 2.694-5.065]; P<0.0001) and gradually became lower as the case-control period lengthened. At a 30-day case-control interval, the risk was lowest but still significant (odds ratio, 2.345 [95% CI, 2.179-2.523]; P<0.0001). CONCLUSIONS We found that hypoglycemic events in patients with diabetes are associated with a more than 3-fold greater risk of AIS in the first day but can trigger AIS in the 30 days following the event. More research is needed to assess the link between the severity of hypoglycemia and stroke occurrence, as well as the severity of the stroke. These results, if confirmed in other studies, emphasize the importance of avoiding hypoglycemic events in patients with diabetes.
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Affiliation(s)
- Supriya Makam
- Icahn School of Medicine at Mount Sinai, New York, NY (S.M.)
| | - Laura K Stein
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY (L.K.S., M.S.D.)
| | - Mandip S Dhamoon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY (L.K.S., M.S.D.)
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American Diabetes Association Professional Practice Committee, ElSayed NA, McCoy RG, Aleppo G, Balapattabi K, Beverly EA, Early B, Bruemmer D, Echouffo-Tcheugui JB, Ekhlaspour L, 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. 6. Glycemic Goals and Hypoglycemia: Standards of Care in Diabetes-2025. Diabetes Care 2025; 48:S128-S145. [PMID: 39651981 PMCID: PMC11635034 DOI: 10.2337/dc25-s006] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [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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38
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Dodamani MH, Hatwal J, Batta A. Role of intestinal glucagon-like peptide-1 in impaired counter-regulatory responses to hypoglycemia. World J Diabetes 2024; 15:2394-2398. [PMID: 39676808 PMCID: PMC11580583 DOI: 10.4239/wjd.v15.i12.2394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2024] [Revised: 10/08/2024] [Accepted: 10/23/2024] [Indexed: 11/18/2024] Open
Abstract
Patients with type 1 diabetes mellitus (T1DM) experience multiple episodes of hypoglycemia, resulting in dysfunctional counter-regulatory responses with time. The recent experimental study by Jin et al explored the role of intestinal glucagon-like peptide-1 (GLP-1) in impaired counter-regulatory responses to hypoglycemia. They identified intestinal GLP-1 along with GLP-1 receptor (GLP-1R) as the new key players linked with impaired counter-regulatory responses to hypoglycemia in type 1 diabetic mice. They also demonstrated that excessive expression of GLP-1 and GLP-1R was associated with attenuated sympathoadrenal responses and decreased glucagon secretion. The study has enormous clinical relevance as defective counter regulation and hypoglycemia unawareness negatively impacts the intensive glycemic management approach in this group of patients. However, the physiological processes must be validated in dedicated human studies to comprehensively understand the pathophysiology of this complex relationship, and to clarify the true extent of impaired hypoglycemia counter regulation by intestinal GLP-1. For now, following the results of the index study and other similar studies, GLP-1 analogues usage in T1DM must be carefully monitored, as there is an inherent risk of worsening the already impaired counter-regulatory responses in these patients. Further studies in the future could identify other key players involved in this clinically relevant interaction.
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Affiliation(s)
| | - Juniali Hatwal
- Department of Internal Medicine, Post Graduate Institute of Medical Education & Research, Chandigarh 160012, India
| | - Akash Batta
- Department of Cardiology, Dayanand Medical College and Hospital, Ludhiana 141001, Punjab, India
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39
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Singh P, Sun J, Cavalera M, Al-Sharify D, Matthes F, Barghouth M, Tengryd C, Dunér P, Persson A, Sundius L, Nitulescu M, Bengtsson E, Rattik S, Engelbertsen D, Orho-Melander M, Nilsson J, Monaco C, Goncalves I, Edsfeldt A. Dysregulation of MMP2-dependent TGF-ß2 activation impairs fibrous cap formation in type 2 diabetes-associated atherosclerosis. Nat Commun 2024; 15:10464. [PMID: 39653743 PMCID: PMC11628557 DOI: 10.1038/s41467-024-50753-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 07/18/2024] [Indexed: 12/12/2024] Open
Abstract
Type 2 diabetes is associated with cardiovascular disease, possibly due to impaired vascular fibrous repair. Yet, the mechanisms are elusive. Here, we investigate alterations in the fibrous repair processes in type 2 diabetes atherosclerotic plaque extracellular matrix by combining multi-omics from the human Carotid Plaque Imaging Project cohort and functional studies. Plaques from type 2 diabetes patients have less collagen. Interestingly, lower levels of transforming growth factor-ß distinguish type 2 diabetes plaques and, in these patients, lower levels of fibrous repair markers are associated with cardiovascular events. Transforming growth factor-ß2 originates mostly from contractile vascular smooth muscle cells that interact with synthetic vascular smooth muscle cells in the cap, leading to collagen formation and vascular smooth muscle cell differentiation. This is regulated by free transforming growth factor-ß2 which is affected by hyperglycemia. Our findings underscore the importance of transforming growth factor-ß2-driven fibrous repair in type 2 diabetes as an area for future therapeutic strategies.
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MESH Headings
- Diabetes Mellitus, Type 2/metabolism
- Diabetes Mellitus, Type 2/complications
- Diabetes Mellitus, Type 2/pathology
- Humans
- Transforming Growth Factor beta2/metabolism
- Matrix Metalloproteinase 2/metabolism
- Plaque, Atherosclerotic/metabolism
- Plaque, Atherosclerotic/pathology
- Muscle, Smooth, Vascular/metabolism
- Muscle, Smooth, Vascular/pathology
- Male
- Myocytes, Smooth Muscle/metabolism
- Myocytes, Smooth Muscle/pathology
- Atherosclerosis/metabolism
- Atherosclerosis/pathology
- Female
- Animals
- Middle Aged
- Aged
- Collagen/metabolism
- Extracellular Matrix/metabolism
- Mice
- Cell Differentiation
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Affiliation(s)
- Pratibha Singh
- Cardiovascular Research-Translational Studies, Lund University, Malmö, Sweden
| | - Jiangming Sun
- Cardiovascular Research-Translational Studies, Lund University, Malmö, Sweden
| | - Michele Cavalera
- Cardiovascular Research-Translational Studies, Lund University, Malmö, Sweden
| | - Dania Al-Sharify
- Cardiovascular Research-Translational Studies, Lund University, Malmö, Sweden
| | - Frank Matthes
- Cardiovascular Research-Translational Studies, Lund University, Malmö, Sweden
| | - Mohammad Barghouth
- Cardiovascular Research-Translational Studies, Lund University, Malmö, Sweden
| | - Christoffer Tengryd
- Cardiovascular Research-Translational Studies, Lund University, Malmö, Sweden
| | - Pontus Dunér
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Ana Persson
- Cardiovascular Research-Translational Studies, Lund University, Malmö, Sweden
| | - Lena Sundius
- Cardiovascular Research-Translational Studies, Lund University, Malmö, Sweden
| | - Mihaela Nitulescu
- Cardiovascular Research-Translational Studies, Lund University, Malmö, Sweden
| | - Eva Bengtsson
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Department of Biomedical Science, Malmö University, Malmö, Sweden
- Biofilms-Research Center for Biointerfaces, Malmö University, Malmö, Sweden
| | - Sara Rattik
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | | | | | - Jan Nilsson
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Claudia Monaco
- Kennedy Institute of Rheumatology, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Isabel Goncalves
- Cardiovascular Research-Translational Studies, Lund University, Malmö, Sweden
- Department of Cardiology, University Hospital of Skåne, Lund/Malmö, Sweden
| | - Andreas Edsfeldt
- Cardiovascular Research-Translational Studies, Lund University, Malmö, Sweden.
- Department of Cardiology, University Hospital of Skåne, Lund/Malmö, Sweden.
- Wallenberg Centre for Molecular Medicine, Lund University, Lund, Sweden.
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40
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Yi Z, Yang B, Wan F, Lu J, Liu D, Lin L, Xu Y, Cen Z, Fan M, Liu W, Lu Q, Jiang G, Zhang Y, Song E, Gao J, Ye D. Chinese medicine Linggui Zhugan formula protects against diabetic kidney disease in close association with inhibition of proteinase 3-mediated podocyte apoptosis in mice. JOURNAL OF ETHNOPHARMACOLOGY 2024; 335:118650. [PMID: 39094755 DOI: 10.1016/j.jep.2024.118650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 05/24/2024] [Accepted: 07/30/2024] [Indexed: 08/04/2024]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Linggui-Zhugan (LGZG) comprises four herbs and is a classic formula in traditional Chinese medicine. There is strong clinical evidence of its pleiotropic effects in the prevention of diabetes and its related complications. Although several classes of drugs are currently available for clinical management of diabetic kidney disease (DKD), tight glycemic and/or hypertension control may not prevent disease progression. This study evaluated the therapeutic effect of the ethnopharmacological agent LGZG on DKD. AIM OF THE STUDY This study aimed to investigate the effects of LGZG formula with standard quality control on experimental DKD and its related metabolic disorders in animal model. Meanwhile, the present study aimed to investigate regulatory effects of LGZG on renal proteinase 3 (PR3) to reveal mechanisms underlying renoprotective benefits of LGZG. MATERIALS AND METHODS LGZG decoction was fingerprinted by high-performance liquid chromatography for quality control. An experimental model of DKD was induced in C57 BL/6J mice by a combination of high-fat diet feeding, uninephrectomy, and intraperitoneal injection of streptozocin. The LGZG decoction was administrated by daily oral gavage. RESULTS Treatment with LGZG formula significantly attenuated DKD-like traits (including severe albuminuria, mesangial matrix expansion, and podocyte loss) and metabolic dysfunction (disordered body composition and dyslipidemia) in mice. RNA sequencing data revealed a close association of LGZG treatment with marked modulation of signaling pathways related to podocyte injury and cell apoptosis. Mechanistically, LGZG suppressed the DKD-triggered increase in renal PR3 and podocyte apoptosis. In-vitro incubation of mouse immortalized podocytes with LGZG-medicated serum attenuated PR3-mediated apoptosis. CONCLUSION Our data demonstrated that the LGZG formula protected against DKD in mice and was closely associated with its inhibitory effects on PR3-mediated podocyte apoptosis.
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Affiliation(s)
- Zixuan Yi
- Key Laboratory of Metabolic Phenotyping in Model Animals, Guangdong Pharmaceutical University, Guangzhou, China; Guangdong Metabolic Disease Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Bei Yang
- Key Laboratory of Metabolic Phenotyping in Model Animals, Guangdong Pharmaceutical University, Guangzhou, China; Guangdong Metabolic Disease Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Fangyu Wan
- Key Laboratory of Metabolic Phenotyping in Model Animals, Guangdong Pharmaceutical University, Guangzhou, China; Guangdong Metabolic Disease Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Jing Lu
- Key Laboratory of Metabolic Phenotyping in Model Animals, Guangdong Pharmaceutical University, Guangzhou, China; Guangdong Metabolic Disease Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Dongyang Liu
- Key Laboratory of Metabolic Phenotyping in Model Animals, Guangdong Pharmaceutical University, Guangzhou, China; Guangdong Metabolic Disease Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Lin Lin
- Key Laboratory of Metabolic Phenotyping in Model Animals, Guangdong Pharmaceutical University, Guangzhou, China; Guangdong Metabolic Disease Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Ying Xu
- School of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Zhikang Cen
- Key Laboratory of Metabolic Phenotyping in Model Animals, Guangdong Pharmaceutical University, Guangzhou, China; Guangdong Metabolic Disease Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Mengqi Fan
- Key Laboratory of Metabolic Phenotyping in Model Animals, Guangdong Pharmaceutical University, Guangzhou, China; Guangdong Metabolic Disease Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Wei Liu
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Qiuhan Lu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Guozhi Jiang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yuying Zhang
- Department of Obstetrics, Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, China
| | - Erfei Song
- Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, Guangdong Province, China; Guangdong-Hong Kong-Macao Joint University Laboratory of Metabolic and Molecular Medicine, The University of Hong Kong and Jinan University, Guangzhou, 510630, Guangdong Province, China
| | - Jie Gao
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
| | - Dewei Ye
- Key Laboratory of Metabolic Phenotyping in Model Animals, Guangdong Pharmaceutical University, Guangzhou, China; Guangdong Metabolic Disease Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, China.
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Tsatsaris G, Rajamand Ekberg N, Fall T, Catrina SB. Risk factors for Charcot foot development in individuals with diabetes mellitus. Diabetologia 2024; 67:2702-2710. [PMID: 39271519 PMCID: PMC11604682 DOI: 10.1007/s00125-024-06271-9] [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: 06/12/2024] [Accepted: 07/23/2024] [Indexed: 09/15/2024]
Abstract
AIMS/HYPOTHESIS Charcot foot is a complication of diabetes mellitus that has potentially disastrous consequences. Although it was first described in 1868 and found to be associated with diabetes in 1936, there is still uncertainty about the risk factors affecting the development of the condition. Here, we aim to identify risk factors for Charcot foot in a nationwide cohort study. METHODS A retrospective register-based cohort study was performed for the period 2001-2016, using nationwide registries. Individuals with diabetes and Charcot foot were identified and matched by diabetes type and with similar diabetes duration with individuals with diabetes but not Charcot foot. Logistic regression analyses were used to identify risk factors. RESULTS A total of 3397 participants with diabetes mellitus and Charcot foot and 27,662 control participants with diabetes but without Charcot foot were included. HbA1c, duration of diabetes, micro- and macroalbuminuria, retinopathy and atherosclerosis (general and peripheral) were identified as risk factors for Charcot foot in participants with type 1 diabetes and participants with type 2 diabetes. CONCLUSIONS/INTERPRETATION In the most extensive study on Charcot foot to date, we identified distinctive and common risk factors associated with the development of Charcot foot in individuals with type 1 diabetes and type 2 diabetes.
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Affiliation(s)
- Georgios Tsatsaris
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Neda Rajamand Ekberg
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Centre for Diabetes, Academic Specialist Centrum, Stockholm, Sweden
- Department of Endocrinology and Diabetes, Karolinska University Hospital, Stockholm, Sweden
| | - Tove Fall
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Sergiu-Bogdan Catrina
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
- Centre for Diabetes, Academic Specialist Centrum, Stockholm, Sweden.
- Department of Endocrinology and Diabetes, Karolinska University Hospital, Stockholm, Sweden.
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Røikjer J, Wegeberg AM, Nikontovic A, Brock C, Vestergaard P. Prevalence of painful and painless diabetic peripheral neuropathy in the Northern Danish Region: A population-based study. Prim Care Diabetes 2024; 18:606-611. [PMID: 39217071 DOI: 10.1016/j.pcd.2024.08.006] [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: 07/15/2024] [Revised: 08/21/2024] [Accepted: 08/26/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Diabetic peripheral neuropathy (DPN) is a common complication of diabetes, yet varying estimates of its prevalence exist. The present study aimed to estimate a questionnaire-centered prevalence of painful and painless DPN in the Northern Danish Region, examine its geographical distribution within the region, and investigate associations between DPN and potential risk factors. METHODS A questionnaire-based survey was sent to all persons living with diabetes in the Northern Danish Region using electronic mail. Persons with diabetes were identified using The National Health Insurance Service Registry. The survey included information on demographics, socioeconomics, municipality, diabetes type, duration, and treatment, as well as the validated questionnaires Michigan Neuropathy Screening Instrument-questionnaire (MNSIq) and the Douleur Neuropathique en 4 Questions (DN4)-interview. Possible DPN was defined as an MNSIq-score ≥ 4, while possible painful DPN was defined as pain in both feet and a DN4-interview score ≥ 3. RESULTS A total of 23,206 eligible people were identified as having diabetes and approximately 33 % answered all questionnaires. The prevalence of possible DPN was 23.3 % (95 % CI: 22.4-24.3 %), while the prevalence of possible painful DPN was 18.0 % (17.1-18.8 %). The prevalence of possible DPN ranged from 22.1 % to 35.0 % between municipalities, while the prevalence of possible painful DPN ranged from 15.6 % to 20.0 %. High body-mass index, long diabetes duration, insulin use, glucagon-like-peptide-1-analogue use, and low income were associated with increased risk of DPN. CONCLUSION The high prevalence of possible painless and painful DPN emphasizes the need for better prevention and careful screening even in high-income countries.
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Affiliation(s)
- Johan Røikjer
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark; Integrative Neuroscience, Aalborg University, Hobrovej 18-22, Aalborg C 9000, Denmark.
| | | | - Amar Nikontovic
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark.
| | - Christina Brock
- Mech-Sense, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
| | - Peter Vestergaard
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark; Department of Endocrinology, Aalborg University Hospital, Aalborg, Denmark.
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43
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Narongkiatikhun P, Choi YJ, Hampson H, Gotzamanis J, Zhang G, van Raalte DH, de Boer IH, Nelson RG, Tommerdahl KL, McCown PJ, Kanter J, Sharma K, Bjornstad P, Saulnier PJ. Unraveling Diabetic Kidney Disease: The Roles of Mitochondrial Dysfunction and Immunometabolism. Kidney Int Rep 2024; 9:3386-3402. [PMID: 39698345 PMCID: PMC11652104 DOI: 10.1016/j.ekir.2024.09.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Revised: 09/07/2024] [Accepted: 09/23/2024] [Indexed: 12/20/2024] Open
Abstract
Mitochondria are essential for cellular energy production and are implicated in numerous diseases, including diabetic kidney disease (DKD). Current evidence indicates that mitochondrial dysfunction results in alterations in several metabolic pathways within kidney cells, thereby contributing to the progression of DKD. Furthermore, mitochondrial dysfunction can engender an inflammatory milieu, leading to the activation and recruitment of immune cells to the kidney tissue, potentially perturbing intrarenal metabolism. In addition, this inflammatory microenvironment has the potential to modify immune cell metabolism, which may further accentuate the immune-mediated kidney injury. This understanding has led to the emerging field of immunometabolism, which views DKD as not just a metabolic disorder caused by hyperglycemia but also one with significant immune contributions. Targeting mitochondrial function and immunometabolism may offer protective effects for the kidneys, complementing current therapies and potentially mitigating the risk of DKD progression. This comprehensive review examines the impact of mitochondrial dysfunction and the potential role of immunometabolism in DKD. We also discuss tools for investigating these mechanisms and propose avenues for integrating this research with existing therapies. These insights underscore the modulation of mitochondrial function and immunometabolism as a critical strategy for decelerating DKD progression.
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Affiliation(s)
- Phoom Narongkiatikhun
- Division of Endocrinology, Department of Medicine, Metabolism and Nutrition, University of Washington School of Medicine, Seattle, Washington, USA
- Division of Nephrology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Ye Ji Choi
- Department of Pediatrics, Section of Pediatric Endocrinology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Hailey Hampson
- Division of Endocrinology, Department of Medicine, Metabolism and Nutrition, University of Washington School of Medicine, Seattle, Washington, USA
| | - Jimmy Gotzamanis
- INSERM Centre d’Investigation Clinique 1402, CHU Poitiers, University of Poitiers, Poitiers, France
| | - Guanshi Zhang
- Department of Medicine, Section of Nephrology, University of Texas Health San Antonio, San Antonio, Texas, USA
| | - Daniel H. van Raalte
- Diabetes Center, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Ian H. de Boer
- Division of Nephrology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Robert G. Nelson
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona, USA
| | - Kalie L. Tommerdahl
- Division of Endocrinology, Department of Medicine, Metabolism and Nutrition, University of Washington School of Medicine, Seattle, Washington, USA
| | - Phillip J. McCown
- Department of Internal Medicine, Division of Nephrology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Jenny Kanter
- Division of Endocrinology, Department of Medicine, Metabolism and Nutrition, University of Washington School of Medicine, Seattle, Washington, USA
| | - Kumar Sharma
- Department of Medicine, Section of Nephrology, University of Texas Health San Antonio, San Antonio, Texas, USA
| | - Petter Bjornstad
- Division of Endocrinology, Department of Medicine, Metabolism and Nutrition, University of Washington School of Medicine, Seattle, Washington, USA
| | - Pierre Jean Saulnier
- INSERM Centre d’Investigation Clinique 1402, CHU Poitiers, University of Poitiers, Poitiers, France
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Han K, Li X, Li M, Liu T, Liu F, Yang J, Jin S, Liu J, Liu J, Hao Y, Lin J, Jiang C, Tang R, Dong J, Zhao D, Long D, Ma C. Fasting plasma glucose level and in-hospital cardiac arrest in patients with acute coronary syndrome: findings from the CCC-ACS project. Ann Med 2024; 56:2419546. [PMID: 39499778 PMCID: PMC11539375 DOI: 10.1080/07853890.2024.2419546] [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: 12/01/2023] [Revised: 05/31/2024] [Accepted: 10/08/2024] [Indexed: 11/07/2024] Open
Abstract
BACKGROUND The prognosis of patients with coronary artery disease is adversely affected by elevated fasting plasma glucose (FPG) levels. However, the relationship between FPG levels and in-hospital cardiac arrest (IHCA) remains unclear. OBJECTIVES The objective of this study was to investigate the association between FPG levels and IHCA in patients diagnosed with acute coronary syndrome (ACS). METHODS Data from a total of 31,726 ACS patients fitted with inclusion and exclusion criteria across 241 hospitals in the Improving Care for Cardiovascular Disease in China-ACS project from November 2014 to July 2019 were collected. Different logistic regression models were utilized to examine the associations of FPG levels with IHCA. Sensitivity analyses were then conducted to assess the robustness of the findings. Marginal effect analyses were also employed to evaluate the impact of different therapies. RESULTS A total of 335 cases of IHCA and 293 in-hospital mortality were recorded throughout the study. A non-linear relationship between FPG levels and IHCA was identified after adjusting for the covariates. Specifically, a significant association was found between elevated FPG levels (≥6.1 mmol/L) and an increased risk of IHCA. These findings remained consistent across different subgroup analyses including both the diabetic and non-diabetic patients. Additionally, the marginal effect analyses revealed that percutaneous coronary intervention could lower the high FPG-related risk. CONCLUSIONS The study findings showed a positive correlation between FPG levels and a higher incidence of IHCA, irrespective of the presence of diabetes.
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Affiliation(s)
- Kangning Han
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
| | - Xia Li
- Department of Mathematical and Physical Sciences, La Trobe University, Melbourne, Australia
| | - Mengmeng Li
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
| | - Tong Liu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
| | - Fang Liu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
| | - Jie Yang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
| | - Shuyu Jin
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
| | - Jing Liu
- Department of Epidemiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
| | - Jun Liu
- Department of Epidemiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
| | - Yongchen Hao
- Department of Epidemiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
| | - Jing Lin
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
| | - Chenxi Jiang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
| | - Ribo Tang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
| | - Jianzeng Dong
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
| | - Dong Zhao
- Department of Epidemiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
| | - Deyong Long
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
| | - Changsheng Ma
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
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Tang XF, Li QX, Han YL, Wang XZ, Song Y, Zhang Z, Xu JJ, Liu ZY, Chen Y, Zhang YZ, Zhu P, Guo XG, Jiang L, Wang ZF, Liu R, Wang QS, Yao Y, Feng YQ, Zhao XY, Yuan JQ. Implications of baseline glycemic control by plasma glycated hemoglobin A1c on adverse outcomes in patients with coronary heart disease and type 2 diabetes mellitus: Results from the PROMISE study. Heliyon 2024; 10:e39748. [PMID: 39584103 PMCID: PMC11585765 DOI: 10.1016/j.heliyon.2024.e39748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Revised: 10/19/2024] [Accepted: 10/22/2024] [Indexed: 11/26/2024] Open
Abstract
Background The optimal glycosylated hemoglobin (HbA1c) target in type 2 diabetes mellitus (T2DM) patients remains controversial, especially in patients with concomitant coronary heart disease (CHD). This study aimed to investigate the correlation between baseline HbA1c and long-term prognosis in CHD patients with T2DM. Methods The study enrolled 6,839 CHD patients with T2DM and measured HbA1c at admission in a multicenter prospective observational cohort. Patients were divided into two groups according to baseline HbA1c levels: optimal glycemic control group (HbA1c < 7.0 %, n = 3023) and poor glycemic control group (HbA1c ≥ 7.0 %, n = 3816). The study endpoints were all-cause death and major adverse cardiac and cerebrovascular events (MACCEs). Results The median follow-up period was 2.1 years. During this period, 229 (3.3 %) all-cause deaths, 165 (2.4 %) cardiac deaths, and 759 (11.1 %) MACCEs occurred. Unadjusted Kaplan-Meier analysis showed that the incidences of all-cause death, cardiac death, non-fatal MI, unplanned revascularization, and MACCEs were significantly lower in the HbA1c < 7.0 % group than in the HbA1c ≥ 7.0 % group (P < 0.05). Multivariate Cox hazard analysis indicated that the incidences of all-cause death, cardiac death and MACCEs were significantly lower in the HbA1c < 7.0 % group compared to the HbA1c ≥ 7.0 % group [all-cause death: hazard ratio (HR) 1.969, 95 % confidence interval (CI) 1.421-2.729; cardiac death: HR 2.515, 95 % CI 1.647-3.839; MACCEs: HR 1.345, 95 % CI 1.150-1.573; P < 0.001]. Conclusions Baseline HbA1c level was associated with all-cause death, cardiac death, and MACCEs in CHD patients with T2DM.
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Affiliation(s)
- Xiao-Fang Tang
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qin-Xue Li
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ya-Ling Han
- Department of Cardiology, General Hospital of Northern Theater Command, Shenyang, China
| | - Xiao-Zeng Wang
- Department of Cardiology, General Hospital of Northern Theater Command, Shenyang, China
| | - Ying Song
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zheng Zhang
- Department of Cardiology, The First Hospital of Lanzhou University, Lanzhou, China
| | - Jing-Jing Xu
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhen-Yu Liu
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yan Chen
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yong-Zhen Zhang
- Department of Cardiology, Peking University Third Hospital, Beijing, China
| | - Pei Zhu
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiao-Gang Guo
- Department of Cardiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lin Jiang
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhi-Fang Wang
- Department of Cardiology, Xinxiang Central Hospital, Xinxiang, China
| | - Ru Liu
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qing-Sheng Wang
- Department of Cardiology, The First Hospital of Qinhuangdao, Qinhuangdao, China
| | - Yi Yao
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ying-Qing Feng
- Department of Cardiology, Guangdong Provincial People's Hospital, Guangzhou, China
| | - Xue-Yan Zhao
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jin-Qing Yuan
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Huang S, Gao F, Huang WB, Xiong CC, Zheng JL. Association between stress hyperglycemia ratio and mortality in acute myocardial infarction patients with and without atrial fibrillation: a retrospective cohort study from the MIMIC-IV database. BMC Cardiovasc Disord 2024; 24:675. [PMID: 39592927 PMCID: PMC11590502 DOI: 10.1186/s12872-024-04358-0] [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: 09/13/2024] [Accepted: 11/18/2024] [Indexed: 11/28/2024] Open
Abstract
BACKGROUND The stress hyperglycemia ratio (SHR) potently predicts adverse outcomes in patients with acute myocardial infarction (AMI), and previous studies reported U-shaped relationships between SHR and adverse prognosis. However, the relationship between SHR and mortality risk in AMI patients with or without atrial fibrillation (AF) remained unknown, and which factors affect the mortality in lower SHR patients were unclear. This study aims to research the relationship between SHR and mortality risk in AMI patients with or without AF, and whether AF affects the mortality in lower SHR patients. METHODS We conducted a cohort study using data from 3233 patients with a first diagnosis of AMI from the MIMIC-IV (version 2.2) database. Patients were divided into two groups based on AF. The study outcome was 1-year all-cause mortality. SHR was defined as the index calculated by the formula: SHR = (admission glucose) (mmol/L) / (1.59 * HbA1c [%] - 2.59). RESULTS U-shaped association between SHR and all-cause mortality was found only in AMI patients with AF, not in AMI patients without AF. For AMI patients with AF, the inflection point for the curve was found to be a SHR of 1.09, either lower (OR, 0.30; 95%CI, 0.10, 0.94) or higher (OR, 3.28; 95%CI, 2.01, 5.34) SHR is associated with increased mortality. However, a linear relationship was found in patients without AF, higher (OR, 1.95; 95%CI, 1.52, 2.51) SHR is associated with increased mortality. For patients with SHR ≤ 1.09, AF increased the risk of all-cause mortality(OR, 1.50; 95%CI, 1.10, 2.05), while this effect was not found in patients with SHR > 1.09. CONCLUSION The association between SHR and mortality in AMI patients with or without AF is different: U-shaped association between SHR and all-cause mortality only in AMI patients with AF, not in AMI patients without AF. AF is a factor that make the difference by increasing the risk of mortality in AMI patients with low SHR. Lower SHR may increase mortality through the onset of AF. This study emphasizes avoiding "relative hypoglycemia", SHR = 1.09 is the moderately tight glycemic control, which means glucose level is about (1.59 * HbA1c [%] - 2.59) * 1.09 mmol/L. TRIAL REGISTRATION Clinical trial number: not applicable.
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Affiliation(s)
- Sen Huang
- Department of Cardiology, Zhongshan Hospital Xiamen University, No. 201-209, Hubinnan Road, Siming District, Xiamen, China.
| | - Feng Gao
- Department of Cardiology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
| | - Wei-Bin Huang
- Department of Cardiology, Zhongshan Hospital Xiamen University, No. 201-209, Hubinnan Road, Siming District, Xiamen, China
| | - Chen-Chun Xiong
- Department of Cardiology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Jia-Li Zheng
- Department of Cardiology, Zhongshan Hospital Xiamen University, No. 201-209, Hubinnan Road, Siming District, Xiamen, China
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Adji AS, Widjaja JS, de Liyis BG. Effectiveness and safety of mineralocorticoid receptor antagonists in heart failure patients with and without diabetes: a systematic review and meta-analysis. Egypt Heart J 2024; 76:150. [PMID: 39541086 PMCID: PMC11564587 DOI: 10.1186/s43044-024-00580-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2024] [Accepted: 10/28/2024] [Indexed: 11/16/2024] Open
Abstract
BACKGROUND Mineralocorticoid receptor antagonists (MRAs) have been shown to improve outcomes in various populations of heart failure (HF) patients. However, the impact of concomitant diseases, such as diabetes mellitus (DM), on these outcomes remains unclear. This meta-analysis aimed to evaluate the efficacy and safety of MRAs in heart failure patients with and without diabetes mellitus. METHODS A systematic search was conducted on PubMed, Scopus, and Google Scholar databases up to April 30, 2024. Data analysis was performed using a random-effects model to account for variability across studies, and statistical analysis was carried out using Review Manager 5.4. Efficacy and safety parameters were evaluated in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. RESULTS The meta-analysis included a total of 21,832 subjects from ten studies. The pooled results demonstrated that MRAs, compared to placebo, significantly reduced all-cause mortality in HF patients with and without DM (RR: 0.85; 95%CI 0.75-0.96; p = 0.009). A similar effect was observed in HF patients without DM (RR: 0.83; 95%CI 0.71-0.97; p = 0.02), while no significant effect was detected in the DM subgroup (RR: 0.87; 95%CI 0.69-1.11; p = 0.27). Both treatments had comparable effects on cardiovascular mortality in HF patients with and without DM (RR: 0.88; 95%CI 0.82-0.94; p = 0.0002), in HF patients with DM (RR: 0.90; 95%CI 0.81-1.01; p = 0.08), and in the non-DM subgroup (RR: 0.86; 95%CI 0.79-0.94; p = 0.0009). MRAs significantly reduced the risk of cardiovascular mortality in HF patients with and without DM (RR: 0.82; 95%CI 0.72-0.94; p = 0.005) and in HF patients with DM (RR: 0.79; 95%CI 0.63-0.98; p = 0.03), but no significant effect was observed in the non-DM subgroup (RR: 0.85; 95%CI 0.69-1.05; p = 0.13). Furthermore, compared to placebo, MRAs were associated with an increased risk of hyperkalemia (> 5.5 mEq/L) in HF patients with and without DM (RR: 1.63; 95%CI 1.18-2.24; p = 0.003), particularly in HF patients with DM (RR: 1.44; 95%CI 0.97-2.13; p = 0.07) and in the non-DM subgroup (RR: 1.87; 95%CI 1.34-2.61; p = 0.0002). CONCLUSION MRAs are effective in reducing all-cause mortality, cardiovascular death, and cardiovascular mortality in heart failure patients. However, the use of MRAs is associated with an increased risk of hyperkalemia, necessitating careful monitoring, particularly in patients with diabetes mellitus.
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Affiliation(s)
- Arga Setyo Adji
- Faculty of Medicine, Hang Tuah University, Ahmad Yani Street no.1, Wonokromo, Surabaya, East Java, 60244, Indonesia.
| | - Jordan Steven Widjaja
- Faculty of Medicine, Hang Tuah University, Ahmad Yani Street no.1, Wonokromo, Surabaya, East Java, 60244, Indonesia
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Klonoff DC, Freckmann G, Pleus S, Kovatchev BP, Kerr D, Tse C(C, Li C, Agus MSD, Dungan K, Voglová Hagerf B, Krouwer JS, Lee WA(A, Misra S, Rhee SY, Sabharwal A, Seley JJ, Shah VN, Tran NK, Waki K, Worth C, Tian T, Aaron RE, Rutledge K, Ho CN, Ayers AT, Adler A, Ahn DT, Aktürk HK, Al-Sofiani ME, Bailey TS, Baker M, Bally L, Bannuru RR, Bauer EM, Bee YM, Blanchette JE, Cengiz E, Chase JG, Y. Chen K, Cherñavvsky D, Clements M, Cote GL, Dhatariya KK, Drincic A, Ejskjaer N, Espinoza J, Fabris C, Fleming GA, Gabbay MAL, Galindo RJ, Gómez-Medina AM, Heinemann L, Hermanns N, Hoang T, Hussain S, Jacobs PG, Jendle J, Joshi SR, Koliwad SK, Lal RA, Leiter LA, Lind M, Mader JK, Maran A, Masharani U, Mathioudakis N, McShane M, Mehta C, Moon SJ, Nichols JH, O’Neal DN, Pasquel FJ, Peters AL, Pfützner A, Pop-Busui R, Ranjitkar P, Rhee CM, Sacks DB, Schmidt S, Schwaighofer SM, Sheng B, Simonson GD, Sode K, Spanakis EK, Spartano NL, Umpierrez GE, Vareth M, Vesper HW, Wang J, Wright E, Wu AH, Yeshiwas S, Zilbermint M, Kohn MA. The Diabetes Technology Society Error Grid and Trend Accuracy Matrix for Glucose Monitors. J Diabetes Sci Technol 2024; 18:1346-1361. [PMID: 39369312 PMCID: PMC11531029 DOI: 10.1177/19322968241275701] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/07/2024]
Abstract
INTRODUCTION An error grid compares measured versus reference glucose concentrations to assign clinical risk values to observed errors. Widely used error grids for blood glucose monitors (BGMs) have limited value because they do not also reflect clinical accuracy of continuous glucose monitors (CGMs). METHODS Diabetes Technology Society (DTS) convened 89 international experts in glucose monitoring to (1) smooth the borders of the Surveillance Error Grid (SEG) zones and create a user-friendly tool-the DTS Error Grid; (2) define five risk zones of clinical point accuracy (A-E) to be identical for BGMs and CGMs; (3) determine a relationship between DTS Error Grid percent in Zone A and mean absolute relative difference (MARD) from analyzing 22 BGM and nine CGM accuracy studies; and (4) create trend risk categories (1-5) for CGM trend accuracy. RESULTS The DTS Error Grid for point accuracy contains five risk zones (A-E) with straight-line borders that can be applied to both BGM and CGM accuracy data. In a data set combining point accuracy data from 18 BGMs, 2.6% of total data pairs equally moved from Zones A to B and vice versa (SEG compared with DTS Error Grid). For every 1% increase in percent data in Zone A, the MARD decreased by approximately 0.33%. We also created a DTS Trend Accuracy Matrix with five trend risk categories (1-5) for CGM-reported trend indicators compared with reference trends calculated from reference glucose. CONCLUSION The DTS Error Grid combines contemporary clinician input regarding clinical point accuracy for BGMs and CGMs. The DTS Trend Accuracy Matrix assesses accuracy of CGM trend indicators.
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Affiliation(s)
- David C. Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA
| | - Guido Freckmann
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Stefan Pleus
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Boris P. Kovatchev
- School of Medicine, University of Virginia, Charlottesville, VA, USA
- Center for Diabetes Technology, University of Virginia, Charlottesville, VA, USA
| | - David Kerr
- Sutter Health Center for Health Systems Research, Santa Barbara, CA, USA
| | | | - Chengdong Li
- College of Nursing, Florida State University, Tallahassee, FL, USA
| | - Michael S. D. Agus
- Divisions of Endocrinology and Medical Critical Care, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Kathleen Dungan
- Division of Endocrinology, Diabetes and Metabolism, Ohio State University, Columbus, OH, USA
| | - Barbora Voglová Hagerf
- Diabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
- First Medical Faculty, Charles University, Prague, Czech Republic
| | | | - Wei-An (Andy) Lee
- Division of Endocrinology, Los Angeles General Medical Center, Los Angeles, CA, USA
| | - Shivani Misra
- Division of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Sang Youl Rhee
- Center for Digital Health and Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | | | - Jane Jeffrie Seley
- Division of Endocrinology, Diabetes & Metabolism, Weill Cornell Medicine, New York, NY, USA
| | - Viral N. Shah
- Division of Endocrinology and Metabolism, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Nam K. Tran
- University of California Davis Health, Sacramento, CA, USA
| | - Kayo Waki
- Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Chris Worth
- Department of Paediatric Endocrinology, Royal Manchester Children’s Hospital, Manchester, UK
| | - Tiffany Tian
- Diabetes Technology Society, Burlingame, CA, USA
| | | | | | - Cindy N. Ho
- Diabetes Technology Society, Burlingame, CA, USA
| | | | - Amanda Adler
- Diabetes Trials Unit, University of Oxford, Oxford, UK
| | - David T. Ahn
- Mary & Dick Allen Diabetes Center, Hoag Memorial Hospital Presbyterian, Newport Beach, CA, USA
| | - Halis Kaan Aktürk
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, CO, USA
| | - Mohammed E. Al-Sofiani
- Division of Endocrinology, Department of Internal Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia
- Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University, Baltimore, MD, USA
| | | | - Matt Baker
- North Kansas City Hospital, North Kansas City, MO, USA
| | - Lia Bally
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | | | | | | | - Julia E. Blanchette
- University Hospitals Cleveland Medical Center, UH Diabetes and Metabolic Care Center, Cleveland, OH, USA
- School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Eda Cengiz
- University of California San Francisco, San Francisco, CA, USA
| | - James Geoffrey Chase
- Centre for Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
| | - Kong Y. Chen
- National Institute of Diabetes and Digestive and Kidney Diseases Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Gerard L. Cote
- Center for Remote Health Technologies and Systems, Department of Biomedical Engineering and Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA
| | - Ketan K. Dhatariya
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Andjela Drincic
- Devision of Diabetes, Endocrinology, and Metabolism, University of Nebraska Medical Center, Omaha, NE, USA
| | - Niels Ejskjaer
- Steno Diabetes Center North Denmark and Department of Endocrinology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University Hospital, Aalborg, Denmark
| | - Juan Espinoza
- Stanley Manne Children’s Research Institute, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
| | - Chiara Fabris
- Center for Diabetes Technology, University of Virginia, Charlottesville, VA, USA
| | | | | | - Rodolfo J. Galindo
- Division of Endocrinology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | | | - Lutz Heinemann
- Science Consulting in Diabetes GmbH, Düsseldorf, Germany
| | - Norbert Hermanns
- Research Institute Diabetes Academy Mergentheim, Bad Mergentheim, Germany & University of Bamberg, Bamberg, Germany
| | - Thanh Hoang
- Division of Endocrinology, Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Sufyan Hussain
- Department of Diabetes, King’s College London, London, UK
- Department of Diabetes and Endocrinology, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
| | - Peter G. Jacobs
- Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR, USA
| | - Johan Jendle
- Department of Medical Sciences, School of Medicine, Örebro University, Örebro, Sweden
| | | | - Suneil K. Koliwad
- Division of Endocrinology and Metabolism, University of California–San Francisco, San Francisco, CA, USA
| | - Rayhan A. Lal
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
| | - Lawrence A. Leiter
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, University of Toronto, Toronto, ON, Canada
| | - Marcus Lind
- Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Julia K. Mader
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Alberto Maran
- Department of Medicine, University of Padua, Padua, Italy
| | - Umesh Masharani
- Division of Endocrinology and Metabolism, University of California–San Francisco, San Francisco, CA, USA
| | - Nestoras Mathioudakis
- Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Michael McShane
- Department of Biomedical Engineering, Department of Materials Science & Engineering, Center for Remote Health Technologies and Systems, Texas A&M University, College Station, TX, USA
| | - Chhavi Mehta
- Mills-Peninsula Medical Center, San Mateo, CA, USA
| | - Sun-Joon Moon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | | | - David N. O’Neal
- Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia
| | | | - Anne L. Peters
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Andreas Pfützner
- Pfützner Science & Health Institute, Mainz, Germany
- University for Digital Technologies in Medicine and Dentistry, Wiltz, Luxembourg
| | - Rodica Pop-Busui
- Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | - Pratistha Ranjitkar
- ADLM DEI Steering Committee, ADLM—Association for Diagnostics & Laboratory Medicine (formerly AACC), Washington, D.C., USA
| | - Connie M. Rhee
- VA Greater Los Angeles Healthcare System and David Geffen School of Medicine, University of California–Los Angeles, Los Angeles, CA, USA
- Cedars-Sinai Health Systems, Los Angeles, CA, USA
| | | | | | | | - Bin Sheng
- Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Gregg D. Simonson
- International Diabetes Center, HealthPartners Institute, Minneapolis, MN, USA
| | - Koji Sode
- Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Joint Department of Biomedical Engineering, North Carolina State University, Chapel Hill, NC, USA
| | - Elias K. Spanakis
- VA Maryland Health Care System, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Nicole L. Spartano
- Section of Endocrinology, Diabetes, Nutrition, and Weight Management, Chobanian & Avedisian School of Medicine, Boston University, Boston, MA, USA
| | | | - Maryam Vareth
- Berkeley Institute for Data Science, College of Computing, Data Science, and Society, UC Berkeley, Berkeley, CA, USA
- The Center of Intelligent Imaging (Ci), UCSF Department of Radiology and Biomedical Imaging, San Francisco, CA, USA
- UC Berkeley/UCSF Computational Precision Health (CPH) Program, Berkeley, CA, USA
| | | | - Jing Wang
- College of Nursing, Florida State University, Tallahassee, FL, USA
| | - Eugene Wright
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Alan H.B. Wu
- Department of Lab Medicine, University of California–San Francisco, San Francisco, CA, USA
| | - Sewagegn Yeshiwas
- Department of Pediatric Endocrinology and Child Health, College of Health Science, Addis Abeba University, Addis Ababa, Ethiopia
| | - Mihail Zilbermint
- Division of Hospital Medicine, Johns Hopkins Community Physicians, Johns Hopkins Medicine, Baltimore, MD, USA
- Suburban Hospital, Johns Hopkins Medicine, Bethesda, MD, USA
- Division of Endocrinology, Diabetes, and Metabolism, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Michael A. Kohn
- University of California San Francisco, San Francisco, CA, USA
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Dhanapalaratnam R, Issar T, Wang LL, Tran D, Poynten AM, Milner KL, Kwai NC, Krishnan AV. Effect of Metformin on Peripheral Nerve Morphology in Type 2 Diabetes: A Cross-Sectional Observational Study. Diabetes 2024; 73:1875-1882. [PMID: 39167630 PMCID: PMC11493759 DOI: 10.2337/db24-0365] [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: 05/02/2024] [Accepted: 08/09/2024] [Indexed: 08/23/2024]
Abstract
Diabetic peripheral neuropathy (DPN) affects ∼50% of the 500 million people with type 2 diabetes worldwide and is considered disabling and irreversible. The current study was undertaken to assess the effect of metformin on peripheral neuropathy outcomes in type 2 diabetes. Participants with type 2 diabetes (n = 69) receiving metformin were recruited and underwent clinical assessment, peripheral nerve ultrasonography, nerve conduction studies, and axonal excitability studies. Also concurrently screened were 318 participants who were not on metformin, and 69 were selected as disease control subjects and matched to the metformin participants for age, sex, diabetes duration, BMI, HbA1c, and use of other diabetes therapies. Medical record data over the previous 20 years were analyzed for previous metformin use. Mean tibial nerve cross-sectional area was lower in the metformin group (metformin 14.1 ± 0.7 mm2, nonmetformin 16.2 ± 0.9 mm2, P = 0.038), accompanied by reduction in neuropathy symptom severity (P = 0.021). Axonal excitability studies demonstrated superior axonal function in the metformin group, and mathematical modeling demonstrated that these improvements were mediated by changes in nodal Na+and K+conductances. Metformin treatment is associated with superior nerve structure and clinical and neurophysiological measures. Treatment with metformin may be neuroprotective in DPN. ARTICLE HIGHLIGHTS
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Affiliation(s)
- Roshan Dhanapalaratnam
- School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Department of Neurology, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Tushar Issar
- School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Leiao Leon Wang
- School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Darren Tran
- Department of Endocrinology, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Ann M. Poynten
- School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Department of Endocrinology, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Kerry-Lee Milner
- School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Department of Endocrinology, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Natalie C.G. Kwai
- School of Medical, Indigenous and Health Sciences, University of Wollongong, Wollongong, New South Wales, Australia
| | - Arun V. Krishnan
- School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Department of Neurology, Prince of Wales Hospital, Sydney, New South Wales, Australia
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Wang Y, Chin WY, Lam CLK, Wan EYF. Trajectory of haemoglobin A1c and incidence of cardiovascular disease in patients with type 2 diabetes mellitus. Diabetes Obes Metab 2024; 26:5138-5146. [PMID: 39161066 DOI: 10.1111/dom.15856] [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: 05/22/2024] [Revised: 07/17/2024] [Accepted: 07/21/2024] [Indexed: 08/21/2024]
Abstract
AIM To evaluate the association between changes in haemoglobin A1c (HbA1c) and the concurrent incidence of cardiovascular disease (CVD) in type 2 diabetes mellitus (T2DM) patients. METHOD We conducted a retrospective cohort study among T2DM patients with HbA1c measurement after T2DM diagnosis between August 2009 and September 2010. The patients were classified into six subgroups based on baseline HbA1c (<7%; 7%-7.9%; ≥8%) and age (<65; ≥65 years), and then clustered into classes by HbA1c trajectory and CVD incidence over the 12-year follow-up period using joint latent class mixture models. We explored the HbA1c trajectories and CVD incidences in each latent class. Multinomial logistic regression was used to compare the baseline characteristics among different latent classes. RESULTS A total of 128 843 T2DM patients were included with a median follow-up period of 11.7 years. Ten latent classes were identified in patients with baseline HbA1c ≥ 8% and age <65 years, while seven classes were identified in the other five groups. Among all the identified latent classes, patients with fluctuating HbA1c trajectories, characterized by alternating periods of increase and decrease, had higher CVD incidences. Male patients, and patients with higher baseline HbA1c and use of antidiabetic drugs were more likely to have a fluctuating HbA1c trajectory. More specifically, patients aged < 65 years with younger age or a smoking habit, and patients aged ≥ 65 years with a longer duration of T2DM were more likely to have a fluctuating HbA1c trajectory. CONCLUSION We found that T2DM patients with fluctuating HbA1c trajectories could have a higher CVD risk. Different trajectory-associated characteristics in age subgroups highlight the need for individualized management of T2DM patients.
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Affiliation(s)
- Yuan Wang
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Weng Yee Chin
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Cindy Lo Kuen Lam
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Department of Family Medicine, The University of Hong Kong - Shenzhen Hospital, Shenzhen, China
| | - Eric Yuk Fai Wan
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
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