Xu Guo-Wang, Lu Xin, Yang Sheng-Li
Metabonomics Research Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2007 Dec;29(6):701-11.
Metabonomics (or metabolomics) aims at the comprehensive and quantitative analysis of the wide arrays of metabolites in biological samples. Metabonomics has been labeled as one of the new" -omics" joining genomics, transcriptomics, and proteomics as a science employed toward the understanding of global systems biology. It has been widely applied in many research areas including drug toxicology, biomarker discovery, functional genomics, and molecular pathology etc. The comprehensive analysis of the metabonome is particularly challenging due to the diverse chemical natures of metabolites. Metabonomics investigations require special approaches for sample preparation, data-rich analytical chemical measurements, and information mining. The outputs from a metabonomics study allow sample classification, biomarker discovery, and interpretation of the reasons for classification information. This review focuses on the currently new advances in various technical platforms of metabonomics and its applications in drug discovery and development, disease biomarker identification, plant and microbe related fields.
代谢组学旨在对生物样品中的大量代谢物进行全面定量分析。代谢组学被视为新的“组学”之一,与基因组学、转录组学和蛋白质组学一道,成为用于理解全球系统生物学的一门科学。它已广泛应用于许多研究领域,包括药物毒理学、生物标志物发现、功能基因组学和分子病理学等。由于代谢物具有多样的化学性质,对代谢组进行全面分析极具挑战性。代谢组学研究需要特殊的样品制备方法、富含数据的分析化学测量方法以及信息挖掘方法。代谢组学研究的结果可用于样品分类、生物标志物发现以及对分类信息原因的解释。本综述重点关注代谢组学各种技术平台的当前新进展及其在药物发现与开发、疾病生物标志物鉴定、植物和微生物相关领域的应用。