Literature DB >> 33485584

Reviewing the metabolome coverage provided by LC-MS: Focus on sample preparation and chromatography-A tutorial.

Marta Roca1, Maria Isabel Alcoriza2, Juan Carlos Garcia-Cañaveras2, Agustín Lahoz3.   

Abstract

Metabolomics has become an invaluable tool for both studying metabolism and biomarker discovery. The great technical advances in analytical chemistry and bioinformatics have considerably increased the number of measurable metabolites, yet an important part of the human metabolome remains uncovered. Among the various MS hyphenated techniques available, LC-MS stands out as the most used. Here, we aimed to show the capabilities of LC-MS to uncover part of the metabolome and how to best proceed with sample preparation and LC to maximise metabolite detection. The analyses of various open metabolite databases served us to estimate the size of the already detected human metabolome, the expected metabolite composition of most used human biospecimens and which part of the metabolome can be detected when LC-MS is used. Based on an extensive review and on our experience, we have outlined standard procedures for LC-MS analysis of urine, cells, serum/plasma, tissues and faeces, to guide in the selection of the sample preparation method that best matches with one or more LC techniques in order to get the widest metabolome coverage. These standard procedures may be a useful tool to explore, at a glance, the wide spectrum of possibilities available, which can be a good starting point for most of the LC-MS metabolomic studies.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biospecimens; Human metabolome; LC-MS; Metabolome coverage; Metabolomics

Mesh:

Year:  2020        PMID: 33485584     DOI: 10.1016/j.aca.2020.12.025

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  5 in total

1.  Data Processing and Analysis in Liquid Chromatography-Mass Spectrometry-Based Targeted Metabolomics.

Authors:  Masahiro Sugimoto; Yumi Aizawa; Atsumi Tomita
Journal:  Methods Mol Biol       Date:  2023

2.  Metabolomics: A Powerful Tool to Understand the Schizophrenia Biology.

Authors:  Flávia da Silva Zandonadi; Emerson Andrade Ferreira Dos Santos; Mariana Silveira Marques; Alessandra Sussulini
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

3.  Methods for Quantifying the Metabolic Boundary Fluxes of Cell Cultures in Large Cohorts by High-Resolution Hydrophilic Liquid Chromatography Mass Spectrometry.

Authors:  Ryan A Groves; Maryam Mapar; Raied Aburashed; Luis F Ponce; Stephanie L Bishop; Thomas Rydzak; Marija Drikic; Dominique G Bihan; Hallgrimur Benediktsson; Fiona Clement; Daniel B Gregson; Ian A Lewis
Journal:  Anal Chem       Date:  2022-06-14       Impact factor: 8.008

4.  A Direct Infusion Probe for Rapid Metabolomics of Low-Volume Samples.

Authors:  Cátia Marques; Liangwen Liu; Kyle D Duncan; Ingela Lanekoff
Journal:  Anal Chem       Date:  2022-09-07       Impact factor: 8.008

5.  Pure Ion Chromatograms Combined with Advanced Machine Learning Methods Improve Accuracy of Discriminant Models in LC-MS-Based Untargeted Metabolomics.

Authors:  Miao Tian; Zhonglong Lin; Xu Wang; Jing Yang; Wentao Zhao; Hongmei Lu; Zhimin Zhang; Yi Chen
Journal:  Molecules       Date:  2021-05-05       Impact factor: 4.411

  5 in total

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