Shen Rui, Pan Chengliang, Yi Guiwen, Li Zhiyang, Dong Chen, Yu Jian, Zhang Jiangmei, Dong Qian, Yu Kunwu, Zeng Qiutang
Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Metabolites. 2024 Jul 13;14(7):385. doi: 10.3390/metabo14070385.
Epidemiological studies have shown an association between type 2 diabetes (T2D) and calcific aortic valve stenosis (CAVS), but the potential causal relationship and underlying mechanisms remain unclear. Therefore, we conducted a two-sample and two-step Mendelian randomization (MR) analysis to evaluate the association of T2D with CAVS and the mediating effects of circulating metabolites and blood pressure using genome-wide association study (GWAS) summary statistics. The inverse variance weighted (IVW) method was used for the primary MR analysis, and comprehensive sensitivity analyses were performed to validate the robustness of the results. Our results showed that genetically predicted T2D was associated with increased CAVS risk (OR 1.153, 95% CI 1.096-1.214, < 0.001), and this association persisted even after adjusting for adiposity traits in multivariable MR analysis. Furthermore, the two-step MR analysis identified 69 of 251 candidate mediators that partially mediated the effect of T2D on CAVS, including total branched-chain amino acids (proportion mediated: 23.29%), valine (17.78%), tyrosine (9.68%), systolic blood pressure (8.72%), the triglyceride group (6.07-11.99%), the fatty acid group (4.78-12.82%), and the cholesterol group (3.64-11.56%). This MR study elucidated the causal impact of T2D on CAVS risk independently of adiposity and identified potential mediators in this association pathways. Our findings shed light on the pathogenesis of CAVS and suggest additional targets for the prevention and intervention of CAVS attributed to T2D.
流行病学研究表明,2型糖尿病(T2D)与钙化性主动脉瓣狭窄(CAVS)之间存在关联,但潜在的因果关系和潜在机制仍不清楚。因此,我们进行了两样本两步孟德尔随机化(MR)分析,以利用全基因组关联研究(GWAS)汇总统计数据评估T2D与CAVS的关联以及循环代谢物和血压的中介作用。主要MR分析采用逆方差加权(IVW)方法,并进行了全面的敏感性分析以验证结果的稳健性。我们的结果表明,遗传预测的T2D与CAVS风险增加相关(OR 1.153,95% CI 1.096-1.214,<0.001),并且即使在多变量MR分析中调整肥胖特征后,这种关联仍然存在。此外,两步MR分析在251个候选中介物中鉴定出69个,它们部分介导了T2D对CAVS的影响,包括总支链氨基酸(介导比例:23.29%)、缬氨酸(17.78%)、酪氨酸(9.68%)、收缩压(8.72%)、甘油三酯组(6.07-11.99%)、脂肪酸组(4.78-12.82%)和胆固醇组(3.64-11.56%)。这项MR研究阐明了T2D对CAVS风险的因果影响,独立于肥胖,并确定了该关联途径中的潜在中介物。我们的研究结果揭示了CAVS的发病机制,并为归因于T2D的CAVS预防和干预提出了额外的靶点。