Research Unit Analytical BioGeoChemistry, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany.
Chair of Bioinformatics, Friedrich-Schiller-Universität Jena, Ernst-Abbe-Platz 2, 07743 Jena, Germany.
J Chromatogr B Analyt Technol Biomed Life Sci. 2022 Jan 1;1188:123069. doi: 10.1016/j.jchromb.2021.123069. Epub 2021 Nov 27.
Metabolomics deals with the large-scale analysis of metabolites, belonging to numerous compound classes and showing an extremely high chemical diversity and complexity. Lipidomics, being a subcategory of metabolomics, analyzes the cellular lipid species. Both require state-of-the-art analytical methods capable of accessing the underlying chemical complexity. One of the major techniques used for the analysis of metabolites and lipids is Liquid Chromatography-Mass Spectrometry (LC-MS), offering both different selectivities in LC separation and high sensitivity in MS detection. Chromatography can be divided into different modes, based on the properties of the employed separation system. The most popular ones are Reversed-Phase (RP) separation for non- to mid-polar molecules and Hydrophilic Interaction Liquid Chromatography (HILIC) for polar molecules. So far, no single analysis method exists that can cover the entire range of metabolites or lipids, due to the huge chemical diversity. Consequently, different separation methods have been used for different applications and research questions. In this review, we explore the current use of LC-MS in metabolomics and lipidomics. As a proxy, we examined the use of chromatographic methods in the public repositories EBI MetaboLights and NIH Metabolomics Workbench. We extracted 1484 method descriptions, collected separation metadata and generated an overview on the current use of columns, eluents, etc. Based on this overview, we reviewed current practices and identified potential future trends as well as required improvements that may allow us to increase metabolite coverage, throughput or both simultaneously.
代谢组学研究涉及大量代谢物的分析,这些代谢物属于众多化合物类别,具有极高的化学多样性和复杂性。脂质组学是代谢组学的一个分支,分析细胞内的脂质种类。两者都需要最先进的分析方法来揭示潜在的化学复杂性。用于代谢物和脂质分析的主要技术之一是液相色谱-质谱联用(LC-MS),它在 LC 分离中提供不同的选择性,在 MS 检测中具有高灵敏度。根据所采用的分离系统的性质,色谱可以分为不同的模式。最常用的模式是用于非极性至中等极性分子的反相(RP)分离和用于极性分子的亲水相互作用液相色谱(HILIC)。迄今为止,由于化学多样性巨大,没有单一的分析方法可以涵盖所有代谢物或脂质。因此,不同的分离方法已用于不同的应用和研究问题。在这篇综述中,我们探讨了 LC-MS 在代谢组学和脂质组学中的当前应用。作为代理,我们检查了在 EBI MetaboLights 和 NIH Metabolomics Workbench 公共存储库中色谱方法的使用情况。我们提取了 1484 种方法描述,收集了分离元数据,并生成了关于当前使用的柱子、洗脱液等的概述。基于该概述,我们回顾了当前的实践,并确定了潜在的未来趋势以及可能的改进,这可能使我们能够同时提高代谢物覆盖率、通量或两者。