Gao Yan, Gao Yu, Li Yuxi, Zhang Qiming, Wang Yiguo
Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing, China.
Tuberculosis Department, 8th Medical Center of Chinese PLA General Hospital Tuberculosis Research Institute, Beijing, China.
Medicine (Baltimore). 2025 Mar 7;104(10):e41630. doi: 10.1097/MD.0000000000041630.
Type 2 diabetes mellitus (T2DM) is a common metabolic disease that can lead to a wide range of complications and impose a significant economic burden to society. Frailty is a disease associated with the accumulation of health deficits that may affect the quality of life of T2DM patients. This Mendelian randomization (MR) study explores the bidirectional causality between T2DM and frailty. All the data was available online at the IEU OpenGWAS project for this study, with the original data for T2DM coming from the pooled statistics of 468,298 participants in the UK biobank, and for frailty from the pooled summary statistics of a total of 175,226 participants in the UK biobank and Swedish TwinGene. The populations were all of European ancestry. Inverse variance weighting (IVW) was the main analytical method for assessing the causal effects of exposure and outcome, in addition, we also complemented weighted median and MR-Egger methods. Heterogeneity tests were performed with Cochran Q statistic and I2 statistic, and horizontal pleiotropy tests were detected through an intercept term in the MR-Egger regression model and MR-PRESSO. A sensitivity analysis was further performed with the leave-one-out method to estimate the impact of individual genetic variants on the overall outcomes. At the gene level, we identified 63 single nucleotide polymorphisms (SNPs) associated with T2DM and 14 SNPs associated with frailty for MR analysis. In the bidirectional MR analysis, the MR-Egger intercept and MR-PRESSO revealed no horizontal pleiotropy (P > .05), while significant heterogeneities were found by the heterogeneity test (P < .05). IVW results showed that frailty significantly increased the risk of T2DM (OR = 2.33, 95% confidence interval [CI] = 1.66-3.26, P < .001), and the similar result existed in the reverse MR analysis (OR = 1.04, 95% CI = 1.02-1.06, P < .001). A bidirectional causal relationship exists between T2DM and frailty, with intervention for either disease reducing the risk of the other.
2型糖尿病(T2DM)是一种常见的代谢性疾病,可导致多种并发症,并给社会带来巨大的经济负担。衰弱是一种与健康缺陷积累相关的疾病,可能影响T2DM患者的生活质量。这项孟德尔随机化(MR)研究探讨了T2DM与衰弱之间的双向因果关系。本研究的所有数据均可在IEU OpenGWAS项目网站上获取,T2DM的原始数据来自英国生物银行468298名参与者的汇总统计数据,衰弱的原始数据来自英国生物银行和瑞典双胞胎基因库总共175226名参与者的汇总统计数据。这些人群均为欧洲血统。逆方差加权(IVW)是评估暴露与结局因果效应的主要分析方法,此外,我们还补充了加权中位数和MR-Egger方法。采用Cochran Q统计量和I2统计量进行异质性检验,并通过MR-Egger回归模型中的截距项和MR-PRESSO检测水平多效性检验。采用留一法进一步进行敏感性分析,以估计单个基因变异对总体结局的影响。在基因水平上,我们鉴定出63个与T2DM相关的单核苷酸多态性(SNP)和14个与衰弱相关的SNP用于MR分析。在双向MR分析中,MR-Egger截距和MR-PRESSO显示无水平多效性(P>0.05),而异质性检验发现显著异质性(P<0.05)。IVW结果显示,衰弱显著增加T2DM风险(OR=2.33,95%置信区间[CI]=1.66-3.26,P<0.001),反向MR分析结果相似(OR=1.04,95%CI=1.02-1.06,P<0.001)。T2DM与衰弱之间存在双向因果关系,对任何一种疾病进行干预都可降低另一种疾病的风险。