常见7种矿物质与2型糖尿病因果关联的孟德尔随机化研究OA

Aim:To investigate the causal associations between 7 common minerals(copper,selenium,zinc,calcium,i-ron,magnesium,and potassium)and the risk of type 2 diabetes mellitus(T2DM).Methods:Based on genome-wide associ-ation study databases,forward Mendelian randomization(MR)analysis was conducted using SNPs related with blood con-centration of 7 minerals as exposures and T2DM-related SNPs as the outcome;reverse MR analysis was performed with T2DM-related SNPs as exposures and the 7 minerals' SNPs as outcomes.MR analysis was conducted using SNPs of 7 miner-als as exposures and T2DM-related characteristics,including glycated hemoglobin,fasting insulin,fasting blood glucose,HO-MA-IR,HOMA-β,and insulin receptor,as outcomes.Inverse variance weighting(IVW)method was employed as the prima-ry analytical approach,supplemented by 4 additional methods(MR-Egger,weighted median,simple pattern,and weighted pattern).Heterogeneity was assessed using Cochran's Q test,heterogeneity was evaluated with the MR-Egger intercept test,and sensitivity analyses were conducted via the leave-one-out method.Results:Forward MR analysis using the IVW method revealed that selenium may increase the risk of T2DM(OR was 1.036,95%CI was 1.002 to 1.071),whereas reverse MR analysis with IVW showed no association between T2DM and selenium(OR was 1.087,95%CI was 0.971 to 1.217),and the supplementary methods yielded consistent results with the IVW approach,demonstrating robust predictive validity.No associations were found between other minerals and T2DM(P>0.05).Selenium exhibited causal relationships with fasting blood glucose(OR was 1.025,95%CI was 1.008 to 1.042)and insulin resistance index(OR was 1.033,95%CI was 1.011 to 1.057).Conclusion:Higher selenium levels are associated with an increased risk of T2DM.