Department of Metabolic Biochemistry, Rouen University Hospital, 76000, Rouen, France.
Normandie Université, UNIROUEN, CHU Rouen, IRIB, INSERM U1245, 76000, Rouen, France.
J Inherit Metab Dis. 2018 May;41(3):379-391. doi: 10.1007/s10545-017-0074-y. Epub 2017 Aug 24.
Metabolites are small molecules produced by enzymatic reactions in a given organism. Metabolomics or metabolic phenotyping is a well-established omics aimed at comprehensively assessing metabolites in biological systems. These comprehensive analyses use analytical platforms, mainly nuclear magnetic resonance spectroscopy and mass spectrometry, along with associated separation methods to gather qualitative and quantitative data. Metabolomics holistically evaluates biological systems in an unbiased, data-driven approach that may ultimately support generation of hypotheses. The approach inherently allows the molecular characterization of a biological sample with regard to both internal (genetics) and environmental (exosome, microbiome) influences. Metabolomics workflows are based on whether the investigator knows a priori what kind of metabolites to assess. Thus, a targeted metabolomics approach is defined as a quantitative analysis (absolute concentrations are determined) or a semiquantitative analysis (relative intensities are determined) of a set of metabolites that are possibly linked to common chemical classes or a selected metabolic pathway. An untargeted metabolomics approach is a semiquantitative analysis of the largest possible number of metabolites contained in a biological sample. This is part I of a review intending to give an overview of the state of the art of major metabolic phenotyping technologies. Furthermore, their inherent analytical advantages and limits regarding experimental design, sample handling, standardization and workflow challenges are discussed.
代谢物是在特定生物体中由酶反应产生的小分子。代谢组学或代谢表型分析是一种成熟的组学方法,旨在全面评估生物系统中的代谢物。这些综合分析使用分析平台,主要是核磁共振波谱和质谱,以及相关的分离方法来收集定性和定量数据。代谢组学以无偏倚、数据驱动的方式全面评估生物系统,最终可能支持假说的产生。该方法本质上允许对生物样本进行分子特征分析,既考虑内部(遗传)因素,也考虑外部(外泌体、微生物组)因素。代谢组学工作流程基于研究人员是否事先知道要评估哪种代谢物。因此,靶向代谢组学方法被定义为对一组可能与常见化学类或选定代谢途径相关的代谢物进行定量分析(确定绝对浓度)或半定量分析(确定相对强度)。非靶向代谢组学方法是对半定量分析生物样本中尽可能多的代谢物。这是综述的第一部分,旨在概述主要代谢表型分析技术的最新进展。此外,还讨论了它们在实验设计、样品处理、标准化和工作流程挑战方面的固有分析优势和局限性。