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Pattern recognition and biomarker validation using quantitative 1H-NMR-based metabolomics.

机译:模式识别和生物标志物验证使用基于1H-NMR的定量代谢组学。

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摘要

The collection of global metabolic data and their interpretation (both spectral and biochemical) using modern spectroscopic techniques and appropriate statistical approaches, are known as 'metabolic profiling', 'metabonomics' or 'metabolomics'. This review addresses 1H-nuclear magnetic resonance (NMR)-based metabolomic principles and their application in biomedical science, with special emphasis on their potential in translational research in transplantation, oncology, and drug toxicity or discovery. Various steps in metabolomics analysis are described in order to illustrate the types of biological samples, their respective handling and preparation for 1H-NMR analysis; provide a rationale for using pattern-recognition techniques (spectral database concept) versus quantitative 1H-NMR-based metabolomics (metabolite database concept); and identify necessary technological and logistical future developments that will allow 1H-NMR-based metabolomics to become an established tool in biomedical research and patient care.
机译:使用现代光谱技术和适当的统计方法收集全球代谢数据及其解释(包括光谱和生化),被称为“代谢谱”,“代谢组学”或“代谢组学”。本文综述了基于1H核磁共振(NMR)的代谢组学原理及其在生物医学中的应用,并特别强调了它们在移植,肿瘤学和药物毒性或发现方面的转化研究的潜力。描述了代谢组学分析的各个步骤,以说明生物样品的类型,其各自的处理方法和制备1 H-NMR的方法;提供使用模式识别技术(光谱数据库概念)与基于定量1H-NMR的代谢组学(代谢物数据库概念)的基本原理;并确定必要的技术和后勤发展方向,以使基于1H-NMR的代谢组学成为生物医学研究和患者护理中的既定工具。

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