The WHO DiaMond Molecular Epidemiology Sub-Project is testing the hypothesis that the geographic differences in IDDM incidence reflect population variation in the frequency of IDDM susceptibility genes (i.e., DQA1 and DQB1 alleles with sequences coding for arginine (R) in position 52 of the DQ alpha-chain, and an amino acid other than aspartic acid (ND) in position 57 of the DQ beta-chain, respectively) using a standardized case-control design. Data from twelve populations which have completed (or have nearly completed) recruitment and HLA molecular analyses are presented. There was an approximate 2-fold increase in the frequencies of DGA1*0301, DQB1*0201 and DQB11*0302 among IDDM cases compared to non-diabetic controls in most populations. Interestingly, DQA*0301 was more common in low versus moderate-high incidence countries. DQB1*0201 and DQB1*0302 were more prevalent in the moderate-high incidence areas. DQA1*R and DQB1*ND were both consistent markers of IDDM risk, with stronger associations in moderate-high versus low incidence areas. In general, individuals homozygous for both DQA1*R and DQB1*ND had the highest genotype-specific IDDM incidence rates, which approximated risk estimates for first degree relatives in several countries. These data revealed considerable variation in the frequencies of DQB1 and DQA1 alleles across countries, which likely contribute to the global patterns of IDDM incidence.
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http://dx.doi.org/10.1016/s0168-8227(96)90017-0 | DOI Listing |
Introduction: Type 1 diabetes is often accompanied by autoimmune thyroid disease. We aimed to investigate the clinical characteristics of Japanese patients with acute-onset type 1 diabetes and thyroid autoantibodies, focusing on decreased endogenous insulin secretion.
Materials And Methods: We examined 80 patients with acute-onset type 1 diabetes, classifying them into two groups with and without thyroid autoantibodies and compared the clinical characteristics of the two groups.
BMC Med
January 2025
Department of Health Economics, School of Public Health, Fudan University, Shanghai, China.
Background: Adolescent diabetes is one of the major public health problems worldwide. This study aims to estimate the burden of type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) in adolescents from 1990 to 2021, and to predict diabetes prevalence through 2030.
Methods: We extracted epidemiologic data from the Global Burden of Disease (GBD) on T1DM and T2DM among adolescents aged 10-24 years in 204 countries and territories worldwide.
Pediatr Diabetes
January 2025
Division of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Objective: We sought to evaluate the risk of preterm labor and hypertensive disorders in adolescent pregnancies with and without diabetes.
Methods: We evaluated 1,843,139 adolescents (≤20 years old) with labor and delivery admissions in the national Kids' Inpatient Database (KID) in years 2006, 2009, 2012, 2016, and 2019. International classification of disease codes was used to identify diabetes and medical factors affecting pregnancy.
PLoS One
January 2025
Institute of Visual Informatics, The National University of Malaysia (UKM), Bangi, Malaysia.
Patients with type 1 diabetes and their physicians have long desired a fully closed-loop artificial pancreas (AP) system that can alleviate the burden of blood glucose regulation. Although deep reinforcement learning (DRL) methods theoretically enable adaptive insulin dosing control, they face numerous challenges, including safety and training efficiency, which have hindered their clinical application. This paper proposes a safe and efficient adaptive insulin delivery controller based on DRL.
View Article and Find Full Text PDFTransplant Rev (Orlando)
January 2025
Faculty of Biology, Medicine & Health, University of Manchester, UK; Manchester Centre for Transplantation, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, UK.
Background: Pancreas Transplantation (PT) provides optimal treatment for patients with severe complicated Type 1 Diabetes Mellitus (T1DM). Restoration of beta-cell mass allows return to euglycaemia and insulin independence. We aimed to examine its impact on the secondary complications associated with severe T1DM including diabetic eye disease, neuropathy and cardiovascular disease.
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