Objective: To analyze the inheritance character of type 2 diabetes mellitus (T2DM) pedigrees.
Methods: 4468 persons from 715 T2DM pedigrees (including the spouses) undergo peripheral blood sample collection to examine blood sugar and physical examination. Questionnaire survey was conducted to explore the family history. Type 1 DM and maturity-onset DM of young people were to be ruled out. Pedigree chart were made.
Results: The prevalence rates of T2DM and impaired glucose regulation (IGR) was 47.62%, including 218 T2DM and 422 IGR newly discovered. The prevalence rates of T2DM and IGR were 38.33% and 14.25% in the siblings, and 56.81% and 12.58% in the parents, all significantly higher than those in the second-degree relatives (9.55% and 6.10%) and spouses (10.57% and 9.55% respectively, all P < 0.01). The prevalence and newly discovered rates of IGR in the offspring were 12.46% and 11.73% respectively, both significantly higher than those in the spouses (9.55% and 9.55% respectively, all P < 0.01).
Conclusion: There is significant familial aggregation in T2DM. The first-degree relatives of T2DM patients are high risk populations, so long term monitoring and early screening should be performed.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Is early use of sodium-glucose cotransporter type 2 inhibitor (SGLT2i) necessary even in diabetic patients without cardiovascular disease: a prospective study regarding the effect of SGLT2i on left ventricular diastolic function.
J Cardiovasc Imaging
January 2025
Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Background: There are insufficient studies to determine whether sodium-glucose cotransporter type 2 inhibitors (SGLT2i) will help reduce early diabetic cardiomyopathy, especially in patients without documented cardiovascular disease.
Methods: We performed a single center, prospective observation study. A total of 90 patients with type 2 diabetes patients without established heart failure or atherosclerotic cardiovascular disease were enrolled.
Investigating the impact of microbiome-changing interventions on food decision-making: MIFOOD study protocol.
BMC Nutr
January 2025
Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany.
Background: Obesity is a multifactorial disease reaching pandemic proportions with increasing healthcare costs, advocating the development of better prevention and treatment strategies. Previous research indicates that the gut microbiome plays an important role in metabolic, hormonal, and neuronal cross-talk underlying eating behavior. We therefore aim to examine the effects of prebiotic and neurocognitive behavioral interventions on food decision-making and to assay the underlying mechanisms in a Randomized Controlled Trial (RCT).
View Article and Find Full Text PDFPredictive value of machine learning for the progression of gestational diabetes mellitus to type 2 diabetes: a systematic review and meta-analysis.
BMC Med Inform Decis Mak
January 2025
Department of Nursing, The Affiliated Hospital of Medical College Qingdao University, Qingdao, Shandong, 266003, China.
Background: This systematic review aims to explore the early predictive value of machine learning (ML) models for the progression of gestational diabetes mellitus (GDM) to type 2 diabetes mellitus (T2DM).
Methods: A comprehensive and systematic search was conducted in Pubmed, Cochrane, Embase, and Web of Science up to July 02, 2024. The quality of the studies included was assessed.
Improving 10-year cardiovascular risk prediction in patients with type 2 diabetes with metabolomics.
Cardiovasc Diabetol
January 2025
Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany.
Background: Existing cardiovascular risk prediction models still have room for improvement in patients with type 2 diabetes who represent a high-risk population. This study evaluated whether adding metabolomic biomarkers could enhance the 10-year prediction of major adverse cardiovascular events (MACE) in these patients.
Methods: Data from 10,257 to 1,039 patients with type 2 diabetes from the UK Biobank (UKB) and the German ESTHER cohort, respectively, were used for model derivation, internal and external validation.
Longitudinal DNA methylation profiles in saliva of offspring from mothers with gestational diabetes: associations with early childhood growth patterns.
Cardiovasc Diabetol
January 2025
Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, 29010, Málaga, Spain.
Background: The prevalence of obesity and type 2 diabetes mellitus (T2DM) is rising globally, particularly among children exposed to adverse intrauterine environments, such as those associated with gestational diabetes mellitus (GDM). Epigenetic modifications, specifically DNA methylation, have emerged as mechanisms by which early environmental exposures can predispose offspring to metabolic diseases. This study aimed to investigate DNA methylation differences in children born to mothers with GDM compared to non-GDM mothers, using saliva samples, and to assess the association of these epigenetic patterns with early growth measurements.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!