代谢组学分析技术平台和数据处理的新进展

摘要/Abstract

摘要： 分析技术和生物计量学促进了代谢组学的飞速发展。代谢组学快速、灵敏、可定量、非侵入性以及系统性的特点,使其在新药研友、药物毒性筛选、疾病诊断等领域显示出广阔的前景。本文综述了代谢组学研究中的某些关键问题:样品处理方法,分析技术和数据处理的方法和原则,代谢组动态变化、生物标记物的鉴定和代谢途径的检索近年来的进展。评价了各种分析手段的优缺点,并展望代谢组学发展前景。

关键词: 代谢组学, 核磁共振, GC/MS, LC/MS, 生物标记物, 多变量数据分析, 模式识别, 代谢途径

Abstract: Metabonomics takes great progress withthe development of analysis technology and biometrics. Asa new member of omicssciences, metabonomics hasshown potentials in drug development, screening of drugtoxicity, and disease diagnosis for its sensitive, rapid,quantitative, noninvasive, and systemic characteristics.The key aspects of metabonomics, including preparationof samples, analysis technology, principle of data pro-cessing, traectory of metabolome, identification of bio-markers and indexation of metabolic pathway are reviewed in this article. The advantages and disadvantages of sev-eral popular analysis technologies for metabonomics areevaluated. Also the development prospect of metabonom-ics is expected.

Key words: metabonomics, nuclear magnetic reso-nance, GC/MS, LC/MS, biomarkers, multivariate analy-sis, patterm recognition, metabolic pathway

中图分类号:

R969.1

任洪灿, 王广基, 阿基业, 郝海平, 孙建国, 查伟斌, 严蓓. 代谢组学分析技术平台和数据处理的新进展[J]. 中国临床药理学与治疗学, 2007, 12(12): 1332-1338.

REN Hong-can, WANG Cuang-ji, A Ji-ye, HAO Hai-ping, SUN Jian-guo, ZHA Wei-bin, YAN Bei. Advances of analysis technology and data processing in metabonomics study[J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2007, 12(12): 1332-1338.

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