Dieterle Frank, Riefke Björn, Schlotterbeck Götz, Ross Alfred, Senn Hans, Amberg Alexander
Molecular Diagnostics, Novartis Pharma AG, Basel, Switzerland.
Methods Mol Biol. 2011;691:385-415. doi: 10.1007/978-1-60761-849-2_24.
Metabonomics, also often referred to as "metabolomics" or "metabolic profiling," is the systematic profiling of metabolites in bio-fluids or tissues of organisms and their temporal changes. In the last decade, metabonomics has become increasingly popular in drug development, molecular medicine, and other biotechnology fields, since it profiles directly the phenotype and changes thereof in contrast to other "-omics" technologies. The increasing popularity of metabonomics has been possible only due to the enormous development in the technology and bioinformatics fields. In particular, the analytical technologies supporting metabonomics, i.e., NMR, LC-MS, UPLC-MS, and GC-MS have evolved into sensitive and highly reproducible platforms allowing the determination of hundreds of metabolites in parallel. This chapter describes the best practices of metabonomics as seen today. All important steps of metabolic profiling in drug development and molecular medicine are described in great detail, starting from sample preparation, to determining the measurement details of all analytical platforms, and finally, to discussing the corresponding specific steps of data analysis.
代谢组学，也常被称为“代谢物组学”或“代谢谱分析”，是对生物体生物流体或组织中的代谢物及其随时间的变化进行系统分析。在过去十年中，代谢组学在药物开发、分子医学和其他生物技术领域越来越受欢迎，因为与其他“组学”技术相比，它直接描绘了表型及其变化。代谢组学日益普及，这仅仅得益于技术和生物信息学领域的巨大发展。特别是，支持代谢组学的分析技术，即核磁共振（NMR）、液相色谱 - 质谱联用（LC - MS）、超高效液相色谱 - 质谱联用（UPLC - MS）和气相色谱 - 质谱联用（GC - MS），已经发展成为灵敏且高度可重复的平台，能够同时测定数百种代谢物。本章介绍了当今代谢组学的最佳实践。详细描述了药物开发和分子医学中代谢谱分析的所有重要步骤，从样品制备开始，到确定所有分析平台的测量细节，最后讨论数据分析的相应具体步骤。
