Iddm4 is a dominant non-major histocompatibility complex (MHC) determinant of diabetes susceptibility in BBDR rats treated with poly I:C, plus depletion of regulatory T cells. In congenic MHC-identical normal WF rats, Iddm4(d) sensitively and specifically predicts induced diabetes. We report a new diabetes-susceptible subcongenic line that carries Iddm4 in a < 2.6 megabase interval. Candidate genes include the T cell receptor beta chain variable (TCRVbeta) family. We found that TCRVbeta4 in WF rats contains a stop codon, whereas 5/5 diabetes-susceptible rat strains express TCRVbeta4. We conclude that Iddm4-mediated diabetes resistance in rats may be due to a recessive protective mutation in TCRVbeta4.
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http://dx.doi.org/10.1196/annals.1394.020 | DOI Listing |
BMC Infect Dis
December 2024
Infectious Disease Hospital of Heilongjiang Province, No. 1 Jian She Street, Hulan District, Harbin, Heilongjiang, 150500, China.
Background: Tuberculosis (TB) remains a significant global health issue. Drug-resistant TB and comorbidities exacerbate its burden, influencing treatment outcomes and healthcare utilization. Despite the growing prevalence of TB comorbidities, research often focuses on single comorbidities rather than comorbidity patterns.
View Article and Find Full Text PDFMol Med
December 2024
Center for Cancer Immunology, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Metabolic syndrome (MetS) is an indicator and diverse endocrine syndrome that combines different metabolic defects with clinical, physiological, biochemical, and metabolic factors. Obesity, visceral adiposity and abdominal obesity, dyslipidemia, insulin resistance (IR), elevated blood pressure, endothelial dysfunction, and acute or chronic inflammation are the risk factors associated with MetS. Abdominal obesity, a hallmark of MetS, highlights dysfunctional fat tissue and increased risk for cardiovascular disease and diabetes.
View Article and Find Full Text PDFCommun Biol
December 2024
Department of Epidemiology and Biostatistics, School of Public Health, Peking University; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China.
Cardiovascular diseases (CVDs) and cerebrovascular diseases (CeVDs) are closely related vascular diseases, sharing common cardiometabolic risk factors (RFs). Although pleiotropic genetic variants of these two diseases have been reported, their underlying pathological mechanisms are still unclear. Leveraging GWAS summary data and using genetic correlation, pleiotropic variants identification, and colocalization analyses, we identified 11 colocalized loci for CVDs-CeVDs-BP (blood pressure), CVDs-CeVDs-LIP (lipid traits), and CVDs-CeVDs-cIMT (carotid intima-media thickness) triplets.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Clinical and Biomedical Sciences, RILD Building, Royal Devon and Exeter Hospital, University of Exeter, Barrack Road, Exeter, EX2 5DW, UK.
A Type 1 Diabetes Genetic Risk Score (T1DGRS) aids diagnosis and prediction of Type 1 Diabetes (T1D). While traditionally derived from imputed array genotypes, Whole Genome Sequencing (WGS) provides a more direct approach and is now increasingly used in clinical and research studies. We investigated the concordance between WGS-based and array-based T1DGRS across genetic ancestries in 149,265 UK Biobank participants using WGS, TOPMed-imputed, and 1000 Genomes-imputed array genotypes.
View Article and Find Full Text PDFJ Cardiovasc Pharmacol
October 2024
Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Sodium-glucose cotransporter 2 inhibitors (SGLT2Is) and angiotensin receptor-neprilysin inhibitor (ARNI) may cause potential renal damage, the combined impact of SGLT2Is and ARNI on acute kidney injury (AKI) remains unclear. This pharmacovigilance study conducted a disproportionality analysis using reports from the FAERS database. The reporting odds ratio (ROR) was used as an estimate for detecting AKI signal.
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