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基于NMR的代谢组学方法最新进展及应用
引用本文:Lindon J C Holmes E Nicholson J K. 基于NMR的代谢组学方法最新进展及应用[J]. 波谱学杂志, 2006, 23(1): 101-127
作者姓名:Lindon J C Holmes E Nicholson J K
作者单位:Biological Chemistry, Biomedical Sciences Division, Imperial College London, Sir Alexander Fleming Building, South Kensington, London, SW7 2AZ UK
摘    要:代谢组学的定义“对病理/生理刺激以及基因改变时生物体系动态的代谢响应进行多参数的定量测量”已被广泛接受. 本文对代谢组学研究的最新进展及其在系统生物学中所发挥的作用进行了综述. 在代谢组学方法研究方面,着重讨论了现代NMR技术的进展及其对代谢组学所产生的影响,同时也包括用于分离的HPLC及其与质谱的连用技术. 对代谢组学广泛应用的概述,主要包括:对正常生理变化的新认识;药物和其他外源性化学物质的副作用;外源性物质对环境污染的影响以及逐渐增多的代谢组学方法在疾病检测中应用.

关 键 词:核磁共振  液相色谱-质谱联用  代谢物  生物标记  疾病  检测  毒性  环境
文章编号:1000-4556(2006)01-0101-27
收稿时间:2006-01-12
修稿时间:2006-01-12

Recent Developments and Applications of  NMR-Based Metabonomics
LINDON J C,HOLMES E,NICHOLSONJK. Recent Developments and Applications of  NMR-Based Metabonomics[J]. Chinese Journal of Magnetic Resonance, 2006, 23(1): 101-127
Authors:LINDON J C  HOLMES E  NICHOLSONJK
Affiliation:Biological Chemistry, Biomedical Sciences Division, Imperial College London, Sir Alexander Fleming Building, South Kensington, London, SW7 2AZ UK
Abstract:The definition of metabonomics as “the quantitative measurement of the dynamic multi-parametric metabolic response of living systems to pathophysiological stimuli or genetic modification”is now becoming widely known. Here the role that metabonomics has in modern systems biology is reviewed and the techniques used are summarised.  This article concentrates on NMR spectroscopic methods but the use of mass spectrometry is increasing, and this is usually prefaced by a separations step using HPLC. Some modern developments in NMR technology are having an impact on metabonomics and these are also described. Finally, some recent applications of metabonomics are summarised including an improved understanding of normal physiological variation, the adverse effects of drugs and other xenobiotics, the impact of xenobiotic substances in environment pollution and the increasing use of metabonomics as a method for disease diagnosis.
Keywords:NMR   LC-MS   metabolites   biomarkers   disease   diagnosis   toxicity   environment.  
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