孟德尔随机化
医学
心绞痛
随机化
内科学
生物信息学
心脏病学
临床试验
心肌梗塞
基因
遗传学
生物
遗传变异
基因型
作者
Jian Xiong,Ying Liao,Lu Yang,Ying Wei,Dehua Li,Yi Zhao,Qianhua Zheng,Wenchuan Qi,Fanrong Liang
标识
DOI:10.1093/postmj/qgae067
摘要
Abstract Purpose We aimed to explore the causal relationship between human serum metabolites and angina pectoris. Methods This study used two-sample Mendelian randomization (MR) analysis to assess the association between 486 serum metabolites and angina pectoris. The analytical methods employed to reduce study bias included inverse variance weighted, MR-Egger, and weighted median method. A comprehensive sensitivity analysis was performed using the leave-one-out method, while instrumental variable pleiotropy was tested with MR-Pleiotropy RESidual Sum and Outlier. Metabolic pathways of angina-associated metabolites were analysed on the MetaboAnalyst metabolomics analysis tool platform. Results In this study, 42 serum metabolites were found to be strongly associated with angina pectoris. They mainly belonged to seven groups: amino acids, carbohydrates, cofactors and vitamins, lipids, nucleotides, unknown metabolites, and exogenous substances. Pipecolate posed the highest risk for the development of angina pectoris among the 42 serum metabolites. The main metabolic pathways associated with angina pectoris were glycine, serine, threonine metabolism, primary bile acid biosynthesis, and caffeine metabolism. Conclusion We identified 25 high-risk and 17 protective human serum metabolites associated with angina pectoris. Their associated major metabolic pathways were also determined. The serum metabolite pipecolate was significantly and positively correlated with the risk of angina pectoris. This finding may serve as a valuable reference for testing serum markers associated with angina pectoris.
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