Several lines of evidence show that autoimmune responses evolving in type 1 diabetes (T1D) patients include the generation of multi-reactive autoantibody (AutoAb) repertoires, but their role in T1D pathogenesis remains elusive. We tested the hypothesis that variants at the immunoglobulin heavy chain (IGH) locus are genetic determinants of AutoAbs against pancreatic antigens and contribute to T1D susceptibility. With this aim, two independent study designs were used: a case-control study and a family-based cohort comprising a total of 240 T1D patients, 172 first-degree relatives (mother and/or father), and 130 unrelated healthy controls living in Portugal. We found that three SNPs in the IGH locus show suggestive association with T1D with the highest nominal association at rs1950942 (in the IGHM-IGHJ gene region) in both the case-control study (P = 9.35E-03) and the family-based cohort (P = 3.08E-03). These SNPs were also associated with IgG AutoAbs against pancreatic antigens and with AutoAb multi-reactivity in T1D patients. Notably, we found that the SNP with the highest association with T1D susceptibility and IgG autoantibody reactivity (rs1950942) was also associated with anti-GAD IgM reactivity in T1D patients (P = 5.98E-03) and in non-affected parents (P = 4.17E-03). This finding implies that IGH association with autoreactive IgM is detectable irrespective of disease status.These results suggest that genetic variants at the IgM gene region of the IGH locus contribute to antibody autoreactivity and are associated with T1D. We propose that the control of autoantibody generation by IGH polymorphisms is a component of the complex architecture of T1D genetic susceptibility.
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http://dx.doi.org/10.1007/s00251-017-0999-1 | DOI Listing |
J Pers Med
November 2024
Section of Pediatrics, Regional Center of Pediatric Diabetes, Department of Translational Medical Science, Federico II University of Naples, 80138 Naples, Italy.
In Italy, the incidence of diabetic ketoacidosis (DKA) at diagnosis of type 1 diabetes (T1D) is still very high (35.7-39.6%), especially in youths.
View Article and Find Full Text PDFJ Diabetes Res
December 2024
Diabetes & Endocrine Unit, District General Hospital, Nuwara Eliya, Sri Lanka.
Young-onset diabetes (YOD) is characterised by unique diagnostic and management challenges more pronounced in resource-limited settings like Sri Lanka. We aimed to ascertain the prevalence, patterns and characteristics of YOD in Sri Lanka and describe the state of care. Retrospective review of baseline data of all patients enrolled in the prospective multicentre Database for Young-Onset Diabetes, Sri Lanka (DYOD-SL), was performed, from April 2021 to April 2023.
View Article and Find Full Text PDFBiomed Rep
February 2025
Faculty of Medicine and Life Sciences, University of Latvia, Riga LV-1004, Latvia.
Continuous glucose monitoring (CGM) has emerged as a superior method to glycated hemoglobin (HbA1c) monitoring for glycemic control assessment in type 1 diabetes (T1D). The association between CGM parameters and diabetic kidney disease (DKD) has not been extensively researched. The aim of the present study was to compare CGM metrics between patients with stable and progressive DKD and T1D.
View Article and Find Full Text PDFARYA Atheroscler
January 2024
Department of Internal Medicine, Faculty of Medicine, Universitas Brawijaya, Malang, Indonesia.
Background: Type 1 diabetes (T1D) carries a significant risk of atherosclerosis as the main driver for cardiovascular events. Atherosclerosis is initiated by the activation of the endothelium by various risk factors through the inflammation process. The anti-inflammatory cytokine TGF-β1 may inhibit the development of atherosclerosis.
View Article and Find Full Text PDFDiabetes Care
December 2024
Department of Pediatrics, College of Medicine, Seoul St. Mary's Hospital and Catholic University of Korea, Seoul, Republic of Korea.
Objective: To explore all-cause mortality and the incidence of cardiovascular and renal complications among patients with young-onset diabetes in South Korea using a nationwide registry database.
Research Design And Methods: Data were collected from the Korean National Health Insurance Service-National Sample Cohort database from 2006 to 2019 for patients aged ≤30 years with type 1 (T1D) or 2 diabetes (T2D). The incidence rates of cardiovascular complications (myocardial infarction [MI] and stroke) and kidney failure, as well as all-cause mortality, were compared with those in the general population.
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