Waterman Claire L, Kian-Kai Cheng, Griffin Julian L
Department of Biochemistry, University of Cambridge, and Metabolic Research Laboratories, Institute of Metabolic Sciences, Addenbrooke's Hospital, Cambridge, CB2 1QW, UK.
Biochim Biophys Acta. 2010 Mar;1801(3):230-4. doi: 10.1016/j.bbalip.2009.11.004. Epub 2009 Nov 26.
Cardiovascular disease arises from a combination of dyslipidaemia and systemic inflammation in both humans and mouse models of the disease. Given the strong metabolic component and also the strong interaction between diet and disease, one would expect strategies based on the global profiling of metabolism should hold substantial promise in defining the mechanism involved in this collection of pathologies. This review examines how metabolomics is being used both as a research tool to understand mechanisms of pathology and as an approach for biomarker discovery in cardiovascular disease. While the lipid fraction of blood plasma has a profound influence on the development of cardiovascular disease, there is also a growing body of evidence that the aqueous fraction of metabolites also have a role in following the effects of myocardial infarction and monitoring the development of atherosclerosis. Metabolomics has also been used in conjunction with proteomics and transcriptomics as part of a systems biology description of cardiovascular disease and in high-throughput approaches to profile large numbers of patients as part of epidemiology studies to understand how the genome interacts with the development of atherosclerosis.
在人类和该疾病的小鼠模型中，心血管疾病是由血脂异常和全身炎症共同引发的。鉴于其强大的代谢成分以及饮食与疾病之间的强烈相互作用，人们预期基于代谢全局分析的策略在确定这一系列病理过程所涉及的机制方面应具有巨大潜力。本综述探讨了代谢组学如何既作为一种研究工具来理解病理机制，又作为一种在心血管疾病中发现生物标志物的方法。虽然血浆中的脂质部分对心血管疾病的发展有深远影响，但也有越来越多的证据表明，代谢物的水性部分在跟踪心肌梗死的影响和监测动脉粥样硬化的发展中也发挥着作用。代谢组学还与蛋白质组学和转录组学结合使用，作为心血管疾病系统生物学描述的一部分，并用于高通量方法对大量患者进行分析，作为流行病学研究的一部分，以了解基因组如何与动脉粥样硬化的发展相互作用。
