Diabetic kidney disease (DKD) and diabetic peripheral neuropathy (DPN) are common complications of type 1 (T1D) and type 2 (T2D) diabetes. However, the mechanisms underlying pathogenesis of these complications are unclear. In this study, we optimized a streptozotocin-induced db/+ murine model of T1D and compared it to our established db/db T2D mouse model of the same C57BLKS/J background. Glomeruli and sciatic nerve transcriptomic data from T1D and T2D mice were analyzed by self-organizing map and differential gene expression analysis. Consistent with prior literature, pathways related to immune function and inflammation were dysregulated in both complications in T1D and T2D mice. Gene-level analysis identified a high degree of concordance in shared differentially expressed genes (DEGs) in both complications and across diabetes type when using mice from the same cohort and genetic background. As we have previously shown a low concordance of shared DEGs in DPN when using mice from different cohorts and genetic backgrounds, this suggests that genetic background may influence diabetic complications. Collectively, these findings support the role of inflammation and indicate that genetic background is important in complications of both T1D and T2D.
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http://dx.doi.org/10.1242/dmm.050080 | DOI Listing |
Cell Rep
January 2025
Institute for Diabetes and Cancer (IDC), Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany; Institute for Cardiovascular Prevention (IPEK), Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany; Joint Heidelberg-IDC Translational Diabetes Program, Inner Medicine 1, Heidelberg University Hospital, Heidelberg 69120, Germany; German Center for Diabetes Research, 85764 Neuherberg, Germany; German Center for Cardiovascular Research, Partner Site Munich Heart Alliance, Technische Universität München, Munich, Germany; Chair Molecular Metabolic Control, Technical University Munich, Munich 80333, Germany. Electronic address:
Intermittent fasting (IF) is a nutritional lifestyle intervention with broad metabolic benefits, but whether the impact of IF depends on the individual's age is unclear. Here, we investigated the effects of IF on systemic metabolism and β cell function in old, middle-aged, and young mice. Short-term IF improves glucose homeostasis across all age groups without altering islet function and morphology.
View Article and Find Full Text PDFPLoS One
January 2025
School of Human Nutrition, McGill University, Montreal, Québec, Canada.
Objective: Managing blood glucose levels is challenging for elite athletes with type 1 diabetes (T1D) as competition can cause unpredictable fluctuations. While fear of hypoglycemia during physical activity is well documented, research on hyperglycemia-related anxiety (HRA) is limited. HRA refers to the heightened fear that hyperglycemia-related symptoms will impair functioning.
View Article and Find Full Text PDFJ Clin Endocrinol Metab
January 2025
Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX.
Context: When clinically stable, patients with A-β+ Ketosis-Prone Diabetes (KPD) manifest unique markers of amino acid metabolism. Biomarkers differentiating KPD from type 1 (T1D) and type 2 diabetes (T2D) during hyperglycemic crises would accelerate diagnosis and management.
Objective: Compare serum metabolomics of KPD, T1D and T2D patients during hyperglycemic crises, and utilize Classification and Regression Tree (CART) modeling to distinguish these forms of diabetes.
J Psychiatr Res
January 2025
Center for Population Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico. Electronic address:
Introduction: Whether in utero exposure to pregestational (type 2 [T2D] and type 1 diabetes [T1D]) and gestational diabetes (GDM) are contributing factors in the rise of neurodevelopmental alterations such as autism is yet unclear. Therefore, we summarized the evidence from studies that assessed such association.
Methods: A systematic review with meta-analyses was performed following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines; eligible studies were identified in PubMed, Web of Science, and EBSCO up to April 3rd, 2023.
Sci Rep
January 2025
Wolfson Institute of Population Health, Queen Mary University of London, London, UK.
Correct classification of type 1 (T1D) and type 2 diabetes (T2D) is challenging due to overlapping clinical features and the increasingly early onset of T2D, particularly in South Asians. Polygenic risk scores (PRSs) for T1D and T2D have been shown to work relatively well in South Asians, despite being derived from largely European-ancestry samples. Here we used PRSs to investigate the rate of potential misclassification of diabetes amongst British Bangladeshis and Pakistanis.
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