Giovane Alfonso, Balestrieri Antonio, Napoli Claudio
Department of Biochemistry and Biophysics, Complesso S. Andrea delle Dame, 1st School of Medicine, II University of Naples, Naples 80138, Italy.
J Cell Biochem. 2008 Oct 15;105(3):648-54. doi: 10.1002/jcb.21875.
Metabolomics is the study of metabolite profiles in biological samples, particularly urine, saliva, blood plasma and fat biopsies. The metabolome is now considered by some to be the most predictive phenotype: consequently, the comprehensive and quantitative study of metabolites is a desirable tool for diagnosing disease, identifying new therapeutic targets and enabling appropriate treatments. A wealth of information about metabolites has been accumulated with global profiling tools and several candidate technologies for metabolomic studies are now available. Many high-throughput metabolomics methodologies are currently under development and have yet to be applied in clinical practice on a routine basis. In the cardiovascular field, few recent metabolomic studies have been reported so far. This minireview provides an updated overview of alternative technical approaches for metabolomics studies and reviews initial applications of metabolomics that relate to both cardiovascular disease and lipid metabolism research.
代谢组学是对生物样本（尤其是尿液、唾液、血浆和脂肪活检组织）中的代谢物谱进行研究。目前，一些人认为代谢组是最具预测性的表型：因此，对代谢物进行全面定量研究是诊断疾病、识别新治疗靶点以及实现恰当治疗的理想工具。借助全局分析工具，已经积累了大量关于代谢物的信息，目前有多种用于代谢组学研究的候选技术可供使用。目前许多高通量代谢组学方法正在开发中，尚未在临床实践中常规应用。在心血管领域，迄今为止鲜有近期的代谢组学研究报道。本综述简要介绍了代谢组学研究的替代技术方法，并对代谢组学在心血管疾病和脂质代谢研究方面的初步应用进行了综述。
