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The Interaction of Dietary Patterns and Genetic Variants on the Risk of Cardiovascular Diseases in Chinese Patients with Type 2 Diabetes.

Molecular nutrition & food research(2023)

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摘要
ScopeDiabetes is an important risk factor for cardiovascular disease (CVD), which in turn is the most common and serious complication of diabetes. This study analyzes dietary patterns and single nucleotide polymorphisms (SNPs) in 543 diabetes patients with new-onset cardiovascular events and 461 diabetic patients without.Methods and resultsSNPs are determined and analyzed using real time PCR and gene chip method. Factor analysis and logistic regression are used to determine dietary patterns and evaluate the level of associations and interaction effects, respectively. The legumes and edible fungi pattern and vegetable pattern show a significant negative correlation with complication risk. ADIPOQ rs37563 and legumes and edible fungi pattern have a significant interactive effect on disease, and patients with a high score of C polymorphism genotype (GC + CC) have a lower risk of disease. 5-10-Methylenetetrahydrofolate reductase (MTHFR) rs1801131 and vegetable pattern have a borderline interaction effect on disease, and those patients with TT genotype have a lower risk of disease.ConclusionThese findings provide new insights into the role of the interactive protection of dietary patterns and SNPs. And participants with specific alleles show a lower risk of cardiovascular complications. In this case-control study, results suggest that the legumes and edible fungi pattern and the vegetable pattern are associated with a lower incidence of cardiovascular disease (CVD) in individuals with type 2 diabetes. And different single nucleotide polymorphisms (SNPs) in ADIPOQ gene and MTHFR gene are associated with the two dietary patterns, respectively. The current study offers new perspective on both new pathology and dietary treatments for future patients with diabetes complicated by cardiovascular disease.image
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关键词
cardiovascular complication,dietary pattern,genetic polymorphism,interaction effects,type 2 diabetes
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