多变量孟德尔随机化研究支持循环代谢物对衰弱的因果效应。
Multivariable Mendelian randomization study supports the causal effects of circulating metabolites on frailty.
作者信息
Yang Fan, Xue Mengjuan, Xu Han, Li Ouyang, Kim Dayoung, Lu Bin, Bao Zhijun
机构信息
Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital, Fudan University, Shanghai, China.
Department of Gerontology, Huadong Hospital, Fudan University, Shanghai, China.
出版信息
Aging Clin Exp Res. 2025 Aug 13;37(1):246. doi: 10.1007/s40520-025-03149-7.
UNLABELLED
Aging-related frailty increases the risk of falls, disability, and mortality. Frailty is linked to abnormalities in whole-body metabolism. However, the causal relationship between circulating metabolic traits and frailty remains unclear. This study aims to clarify the causal effects of circulating metabolites on frailty. We used bidirectional two sample and multivariable Mendelian Randomization (MVMR) methods to assess associations between circulating metabolites and the Frailty Index (FI). Genetic data on relevant single-nucleotide polymorphisms (SNPs) were obtained from publicly available genome-wide association studies (GWAS). Five MR methods were employed: Inverse-variance weighted (IVW), MR-Egger, weighted median, simple mode, and weighted mode methods were used for Mendelian Randomization (MR) analysis. MVMR analyses examined the effects of selected circulating metabolites (identified via multivariate LASSO regression), obesity, alcohol consumption, and sleep disorders on FI. Preliminary analyses identified 12 circulating metabolites as potential frailty risk factors, while secondary analyses revealed 25 circulating metabolites. Notably, MVMR established a causal relationship between free cholesterol in large low-density lipoprotein (LDL) and frailty. This study establishes a causal link between free cholesterol in large LDL and frailty risk based on genetic evidence, potentially guiding targeted prevention strategies.
SUPPLEMENTARY INFORMATION
The online version contains supplementary material available at 10.1007/s40520-025-03149-7.
未标注
与衰老相关的虚弱会增加跌倒、残疾和死亡的风险。虚弱与全身代谢异常有关。然而,循环代谢特征与虚弱之间的因果关系仍不清楚。本研究旨在阐明循环代谢物对虚弱的因果效应。我们使用双向两样本和多变量孟德尔随机化(MVMR)方法来评估循环代谢物与虚弱指数(FI)之间的关联。相关单核苷酸多态性(SNP)的遗传数据来自公开可用的全基因组关联研究(GWAS)。采用了五种MR方法:逆方差加权(IVW)、MR-Egger、加权中位数、简单模式和加权模式方法用于孟德尔随机化(MR)分析。MVMR分析研究了选定的循环代谢物(通过多变量LASSO回归确定)、肥胖、饮酒和睡眠障碍对FI的影响。初步分析确定了12种循环代谢物为潜在的虚弱风险因素,而二次分析揭示了25种循环代谢物。值得注意的是,MVMR确定了大低密度脂蛋白(LDL)中的游离胆固醇与虚弱之间的因果关系。本研究基于遗传证据建立了大LDL中的游离胆固醇与虚弱风险之间的因果联系,可能指导有针对性的预防策略。
补充信息
在线版本包含可在10.1007/s40520-025-03149-7获取的补充材料。