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代谢表型分析在动态患者分层中的新兴作用。

The emergent role of metabolic phenotyping in dynamic patient stratification.

机构信息

Imperial College London, Division of Computational and Systems Medicine, Department of Surgery and Cancer , South Kensington, London SW7 2AZ UK +44 20 7594 3194 ;

出版信息

Expert Opin Drug Metab Toxicol. 2014 Jul;10(7):915-9. doi: 10.1517/17425255.2014.922954. Epub 2014 Jun 6.

DOI:10.1517/17425255.2014.922954
PMID:24905565
Abstract

The role that metabolic phenotyping can increasingly play in patient stratification and personalised medicine is discussed. The background to the general approach, comprehensive and simultaneous analysis of small-molecule metabolites in biofluids, tissues and tissue extracts combined with suitable multivariate statistical models, is summarised. The main techniques used (NMR and mass spectrometry) are cited, and the implementation of dedicated phenome centres is explained. Finally, the advantages and limitations, opportunities and drawbacks of the approach are discussed.

摘要

本文讨论了代谢组学在患者分层和个体化医学中的作用。概述了一般方法的背景,即结合合适的多变量统计模型对生物体液、组织和组织提取物中的小分子代谢物进行全面和同时分析。引用了主要使用的技术(NMR 和质谱),并解释了专用表型中心的实施。最后,讨论了该方法的优点和局限性、机会和缺点。

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