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DOI 10.18632/aging.103887

Медицинская библиотека · Aging · 2020

Glycemic traits and Alzheimer's disease: a Mendelian randomization study.

Pan Yuesong, Chen Weiqi, Yan Hongyi, Wang Mengxing, Xiang Xianglong

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

Previous observational studies have reported an association between impaired glucose metabolism and Alzheimer's disease. This study aimed to examine the causal association of glycemic traits with Alzheimer's disease. We used a two-sample Mendelian randomization approach to evaluate the causal effect of six glycemic traits (type 2 diabetes, fasting glucose, fasting insulin, hemoglobin A1c, homeostasis model assessment- insulin resistance and HOMA-β-cell function) on Alzheimer's disease. Summary data on the association of single nucleotide polymorphisms with these glycemic traits were obtained from genome-wide association studies of the DIAbetes Genetics Replication And Meta-analysis and Meta-Analyses of Glucose and Insulin-related traits Consortium. Summary data on the association of single nucleotide polymorphisms with Alzheimer's disease were obtained from the International Genomics of Alzheimer's Project. The Mendelian randomization analysis showed that 1-standard deviation higher fasting glucose and lower HOMA-β-cell function (indicating pancreatic β-cell dysfunction) were causally associated with a substantial increase in risk of Alzheimer's disease (odds ratio=1.33, 95% confidence interval: 1.04-1.68, p=0.02; odds ratio=1.92, 95% confidence interval: 1.15-3.21, p=0.01). However, no significant association was observed for other glycemic traits. This Mendelian randomization analysis provides evidence of causal associations between glycemic traits, especially high fasting glucose and pancreatic β-cell dysfunction, and high risk of Alzheimer's disease.

Для цитирования: Pan Yuesong, Chen Weiqi, Yan Hongyi, Wang Mengxing, Xiang Xianglong. Glycemic traits and Alzheimer's disease: a Mendelian randomization study.. Aging. 2020. DOI: 10.18632/aging.103887.

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