Identification of biomarkers for essential hypertension based on metabolomics

代谢组学 代谢途径 计算生物学 医学 动物研究 生物信息学 生物化学 生物 新陈代谢 内分泌学
作者
Yue‐Ting Deng,Chen Huang,Jingyue Su,Chen‐Wei Pan,Chaofu Ke
出处
期刊:Nutrition Metabolism and Cardiovascular Diseases [Elsevier BV]
卷期号:31 (2): 382-395 被引量:52
标识
DOI:10.1016/j.numecd.2020.11.023
摘要

Aim Essential hypertension (EH) is one of the most important public health problems worldwide. However, the pathogenesis of EH is unclear and early diagnostic methods are lacking. Metabolomics demonstrates great potential for biomarker discovery and the mechanistic exploration of metabolic diseases. Data synthesis This review included human and animal metabolomics studies related to EH in the PubMed and Web of Science databases between February 1996 and May 2020. The study designs, EH standards, and reported metabolic biomarkers were systematically examined and compared. The pathway analysis was conducted through the online software MetaboAnalyst 4.0. Twenty-two human studies and fifteen animal studies were included in this systematic review. There were many frequently reported biomarkers with consistent trends (e.g., pyruvate, lactic acid, valine, and tryptophan) in human and animal studies, and thus had potential as biomarkers of EH. In addition, several shared metabolic pathways, including alanine, aspartate, and glutamate metabolism, aminoacyl-tRNA biosynthesis, and arginine biosynthesis, were identified in human and animal metabolomics studies. These biomarkers and pathways, closely related to insulin resistance, the inflammatory state, and impaired nitric oxide production, were demonstrated to contribute to EH development. Conclusions This study summarized valuable metabolic biomarkers and pathways that could offer opportunities for the early diagnosis or prediction of EH and the discovery of the metabolic mechanisms of EH.
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