代谢组学在代谢性脑血管病中的应用研究 Application of Metabolomics in Cerebro-Metabolic Disease

Abstract

脑血管病是全球范围内导致人类死亡和残疾的主要原因，其中很高比例与代谢紊乱相关。代谢性脑血管病是指由传统代谢危险因素和残余代谢危险因素导致的脑血管损害，以血管结构受损及功能障碍为主要病理生理学表现，干预代谢危险因素可有效改善预后的一种临床综合征。代谢组学是采用高通量组学技术对所有代谢物进行鉴定和定量的手段，是未来研究代谢性脑血管病的重要抓手。本文总结了代谢组学、脂质组学在代谢性心脑血管疾病方面的研究，旨在为代谢性脑血管病的代谢组学研究开展及其临床防治提供参考。 Abstract: Cerebrovascular diseases are the leading cause of death and disability worldwide. A high proportion of cerebrovascular diseases is correlated with metabolism disorder. Cerebro-metabolic disease refers to a clinical syndrome with cerebrovascular injury caused by traditional metabolic risk factors and residual metabolic risk factors, vascular structural injury and dysfunction as the main pathophysiological manifestations, and intervention of metabolic risk factors can effectively improve the prognosis. Metabolomics is a scientific method that uses high-throughput omics technology to identify and quantify all metabolites, which is an important starting point for future research on cerebro-metabolic disease. This paper summarizes the studies of metabolomics and lipidomics in cerebro-metabolic disease and cardiometabolic disease, aiming to provide references for the development of metabolomics studies and clinical prevention and treatment of cerebro-metabolic disease.

Keywords

• 代谢性脑血管病
• 代谢组学
• 脂质组学
• cerebro-metabolic disease
• metabolomics
• lipidomics