Association between thyroid function and type 2 diabetes mellitus based on the NHANES and Mendelian randomization study.

Cheng Su, Qifu Chen, Baijing Dong, Ming Chu
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Abstract

Objectives: Many observational studies have reported an association between thyroid function and type 2 diabetes mellitus (T2DM), but the causal relationship remains unclear. This study aims to examine the association between thyroid function and T2DM by using the National Health and Nutrition Examination Survey (NHANES) database 2007-2012 and Mendelian randomization (MR) analysis.

Methods: A cross-sectional analysis was performed utilizing data from the NHANES, and logistic regression was employed to investigate the relationship between thyroid function and T2DM. Genome-wide association studies (GWAS) data of thyroid function and T2DM were obtained from the website of the IEU OpenGWAS project and the Thyroidomics Consortium. Single nucleotide polymorphisms (SNPs) strongly related to thyroid function were used as instrumental variables. Moreover, the inverse-variance weighting MR-Egger regression model and weighting median method were used to analyze the causal effect of thyroid function on T2DM. Cochran's Q test, the MR-Egger intercept test, and "leave one out" cross-validation were applied to evaluate the pleiotropy and heterogeneity levels of the above included SNPs.

Results: In the NHANES study, no association was identified between thyroid function and the risk of T2DM in a fully adjusted model. A total of 17, 31, 7, and 79 SNPs were identified in the cohorts for free thyroxine (FT4), thyroid-stimulating hormone (TSH), hyperthyroidism, and hypothyroidism, respectively. The ORs with 95% confidence intervals (95% CIs) derived from MR-Egger regression, WME, and inverse variance weighting (IVW) for TSH and T2DM were 0.86 (0.75-0.99), 0.91 (0.85-0.98), and 0.94 (0.89-0.99), respectively. For hypothyroidism and T2DM, the ORs (95% CI) from MR-Egger regression, WME, and IVW were 5.71 (1.76-18.53), 3.33 (1.57-7.04), and 2.60 (1.50-4.49), respectively. Additionally, Cochran's Q test results demonstrated no heterogeneity among the SNPs associated with TSH and T2DM, while heterogeneity was observed among the SNPs related to hypothyroidism and T2DM (Q = 133.40, P < 0.05), necessitating the use of the IVW random effects model.

Conclusions: The findings of the present study point to a potential causal relationship between TSH, hypothyroidism, and T2DM. Further research is needed to explore the relationship between thyroid function and T2DM.

基于NHANES和孟德尔随机化研究的甲状腺功能与2型糖尿病的关系
目的:许多观察性研究报道了甲状腺功能与2型糖尿病(T2DM)之间的关联,但因果关系尚不清楚。本研究旨在通过2007-2012年国家健康与营养调查(NHANES)数据库和孟德尔随机化(MR)分析,研究甲状腺功能与2型糖尿病之间的关系。方法:利用NHANES的数据进行横断面分析,并采用logistic回归分析甲状腺功能与T2DM的关系。甲状腺功能与T2DM的全基因组关联研究(GWAS)数据来自IEU OpenGWAS项目和甲状腺组学联盟网站。与甲状腺功能密切相关的单核苷酸多态性(snp)被用作工具变量。采用反方差加权MR-Egger回归模型和加权中位数法分析甲状腺功能与T2DM的因果关系。采用Cochran’s Q检验、MR-Egger截距检验和“留一个”交叉验证评价上述纳入snp的多效性和异质性水平。结果:在NHANES的研究中,在一个完全调整的模型中,甲状腺功能与T2DM风险之间没有关联。在游离甲状腺素(FT4)、促甲状腺激素(TSH)、甲状腺功能亢进和甲状腺功能减退的队列中,共鉴定出17、31、7和79个snp。由MR-Egger回归、WME和逆方差加权(IVW)得出的TSH和T2DM的95%置信区间or (95% ci)分别为0.86(0.75-0.99)、0.91(0.85-0.98)和0.94(0.89-0.99)。对于甲状腺功能减退和T2DM, MR-Egger回归、WME和IVW的or (95% CI)分别为5.71(1.76-18.53)、3.33(1.57-7.04)和2.60(1.50-4.49)。此外,Cochran’s Q检验结果显示,与TSH和T2DM相关的snp之间没有异质性,而与甲状腺功能减退和T2DM相关的snp之间存在异质性(Q = 133.40, P)。结论:本研究结果表明,TSH、甲状腺功能减退和T2DM之间存在潜在的因果关系。甲状腺功能与T2DM的关系有待进一步研究。
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