孟德尔随机化
医学
前瞻性队列研究
内科学
比例危险模型
危险系数
冲程(发动机)
人口
队列研究
混淆
代谢综合征
队列
入射(几何)
共域化
肿瘤科
风险评估
生命银行
生物信息学
低风险
遗传关联
代谢组学
心脏病学
风险因素
作者
Kaixin Lei,Bojun Ma,Chenxi Lu,Lifan Xu,Chunxia Qiao,Yi Teng,Wen Guo
标识
DOI:10.1177/0271678x261462718
摘要
BACKGROUND: Cardiovascular-kidney-metabolic (CKM) syndrome has increasingly affected the middle-aged and elderly population. The relationship between CKM risk factors and stroke at metabolomic level and underlying genetic alterations remains unknown. METHODS: Elastic net regression was utilized to establish a metabolic signature indicative of CKM risk factors in 108,305 participants. Multivariable COX proportional hazard models were utilized to determine the association between CKM plasma metabolic signature and incident stroke. Causal relationships between metabolites and stroke were explored through mendelian randomization (MR) analysis and colocalization analysis. RESULTS: During a follow up of 13.94 years [Interquartile Range (IQR), 13.00 - 14.43], 3,881 incident stroke events were documented. 48 metabolites were identified to represent the metabolic process of CKM risk factors. After adjustment of demographic factors and CKM risk factors, the elevated metabolic signature was correlated with higher stroke incidence risks with hazard ratio of 1.075 [95% confidential intervals (CI), 1.001 - 1.154]. MR analysis identified 38 potential causal metabolites. In addition, colocalization analysis revealed LDLR and CELSR2 as two genetic targets. CONCLUSION: In general, this study identified a metabolic signature reflecting CKM risk factors is positively associated with stroke, while LDLR and CELSR2 might impact the metabolic process in CKM population at genetic level.
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