代谢组学分析技术平台和数据处理的新进展  

Advances of analysis technology and data processing in metabonomics study

作　　者：任洪灿[1] 王广基[1] 阿基业[1,2] 郝海平[1] 孙建国[1] 查伟斌[1] 严蓓[1] 

机构地区：[1]中国药科大学药物代谢动力学重点实验室 [2]瑞典Umea大学临床化学系

出　　处：《中国临床药理学与治疗学》2007年第12期1332-1338,共7页Chinese Journal of Clinical Pharmacology and Therapeutics

基　　金：国家自然科学基金项目(30630076;3o572228);江苏省自然科学基金项目(BK2005098)

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,使其在新药研发、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。Metabonomics takes great progress with the development of analysis technology and biometrics. As a new member of ＂omics＂ sciences, metabonomics has shown potentials in drug development, screening of drug toxicity, and disease diagnosis for its ＇sensitive, rapid, quantitative, noninvasive, and systemic characteristics. The key aspects of metabonomics, including preparation of samples, analysis technology, principle of data processing, trajectory of metabolome, identification of biomarkers and indexation of metabolic pathway are reviewed in this article. The advantages and disadvantages of several popular analysis technologies for metabonomics are evaluated. Mso the development prospect of metabonomics is expected.

关 键 词：代谢组学 核磁共振 GC/MS LC/MS1 生物标记物 多变量数据分析 模式识别 代谢途径 

分 类 号：R969.1[医药卫生—药理学]