Relationship between human serum metabolites and angina pectoris: a Mendelian randomization study.

IF 3.6 4区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Jian Xiong, Ying Liao, Liyuan Yang, Ying Wei, Dehua Li, Yi Zhao, Qianhua Zheng, Wenchuan Qi, Fanrong Liang
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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.

人体血清代谢物与心绞痛之间的关系:孟德尔随机研究。
目的:我们旨在探讨人体血清代谢物与心绞痛之间的因果关系:本研究采用双样本孟德尔随机分析法(MR)评估了 486 种血清代谢物与心绞痛之间的关系。为减少研究偏倚而采用的分析方法包括反方差加权法、MR-Egger 法和加权中值法。使用 "撇一除一 "法进行了全面的敏感性分析,并使用MR-Pleiotropy RESidual Sum和Outlier测试了工具变量的多义性。在 MetaboAnalyst 代谢组学分析工具平台上分析了心绞痛相关代谢物的代谢途径:结果:研究发现,42 种血清代谢物与心绞痛密切相关。它们主要分为七类:氨基酸、碳水化合物、辅助因子和维生素、脂类、核苷酸、未知代谢物和外源性物质。在这 42 种血清代谢物中,哌啶醇发生心绞痛的风险最高。与心绞痛相关的主要代谢途径是甘氨酸、丝氨酸、苏氨酸代谢、初级胆汁酸生物合成和咖啡因代谢:结论:我们发现了与心绞痛相关的 25 种高风险和 17 种保护性人体血清代谢物。结论:我们发现了与心绞痛相关的 25 种高风险和 17 种保护性人体血清代谢物,并确定了与之相关的主要代谢途径。血清代谢物 pipecolate 与心绞痛风险呈显著正相关。这一发现可为检测与心绞痛相关的血清标记物提供有价值的参考。
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来源期刊
Postgraduate Medical Journal
Postgraduate Medical Journal 医学-医学:内科
CiteScore
8.50
自引率
2.00%
发文量
131
审稿时长
2.5 months
期刊介绍: Postgraduate Medical Journal is a peer reviewed journal published on behalf of the Fellowship of Postgraduate Medicine. The journal aims to support junior doctors and their teachers and contribute to the continuing professional development of all doctors by publishing papers on a wide range of topics relevant to the practicing clinician and teacher. Papers published in PMJ include those that focus on core competencies; that describe current practice and new developments in all branches of medicine; that describe relevance and impact of translational research on clinical practice; that provide background relevant to examinations; and papers on medical education and medical education research. PMJ supports CPD by providing the opportunity for doctors to publish many types of articles including original clinical research; reviews; quality improvement reports; editorials, and correspondence on clinical matters.
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