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[代谢组学及其应用]

[Metabonomics and its applications].

作者信息

Yang Jun, Song Shuo-Lin, Castro-Perez Jose, Plumb Robert S, Xu Guo-Wang

机构信息

National Chromatographic R. & A. Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116011, China.

出版信息

Sheng Wu Gong Cheng Xue Bao. 2005 Jan;21(1):1-5.

Abstract

The concept, characteristics and history of metabonomics are introduced. The techniques used in data acquisition and data analysis in metabonomics including their advantages and disadvantages are summarized. In data acquisition platform, NMR, GC/MS, LC/MS (/MS) are the prevalent techniques although at present, none of them is a perfect technique that could meet with the requirement of the metabonomics for measuring all metabolites. While in data analysis, the PCA, PLS and ANN are the major techniques. The researchers could select them according to the research destination. Recent advances and applications of metabonomics in disease diagnosis, drug toxicity evaluation, plant metabolomics and microbial metabolomics are reviewed. In addition, by giving the situation on the establishment of the related corporations, the conferences about metabonomics and proclamation of NIH roadmap the current boom of the metabonomics is reflected. It can be expected that with the development of the function genomics, metabonomics will play a major role in the discovery of the phynotype of the genome and searching for the disease diagnostic biomarkers, and it will also bring much benefit to the drug discovery, clinical diagnosis and nutrition science.

摘要

介绍了代谢组学的概念、特点和历史。总结了代谢组学中数据采集和数据分析所使用的技术,包括它们的优缺点。在数据采集平台方面,核磁共振(NMR)、气相色谱/质谱联用(GC/MS)、液相色谱/质谱联用(/MS)是常用技术,不过目前它们都不是能满足代谢组学测量所有代谢物要求的完美技术。而在数据分析方面,主成分分析(PCA)、偏最小二乘法(PLS)和人工神经网络(ANN)是主要技术。研究人员可根据研究目的进行选择。综述了代谢组学在疾病诊断、药物毒性评估、植物代谢组学和微生物代谢组学方面的最新进展及应用。此外,通过介绍相关公司的成立情况、代谢组学会议以及美国国立卫生研究院(NIH)路线图的发布,反映了代谢组学当前的蓬勃发展。可以预期,随着功能基因组学的发展,代谢组学将在基因组表型发现和疾病诊断生物标志物寻找中发挥重要作用,也将给药物研发、临床诊断和营养科学带来诸多益处。

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