A1 Refereed original research article in a scientific journal
A Systematic Pipeline to Enhance the Fecal Metabolome Coverage by LC-HRMS
Authors: Alves Marina A., da Silva Ana Carolina R., Torres Clarisse L., de Almeida Lana R., Mastella Ana Maria O., Borges Ricardo M. , Garrett Rafael
Publisher: SOC BRASILEIRA QUIMICA
Publication year: 2021
Journal: Journal of the Brazilian Chemical Society
Journal acronym: J BRAZIL CHEM SOC
Volume: 32
Issue: 7
First page : 1435
Last page: 1446
Number of pages: 12
ISSN: 0103-5053
eISSN: 1678-4790
DOI: https://doi.org/10.21577/0103-5053.20210042
Web address : http://jbcs.sbq.org.br/default.asp?ed=313
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/66413361
The comprehended knowledge of the metabolic profile of the fecal matter has been recognized as an important point for understanding metabolic changes in the human systemic metabolism and it can provide precious information about host-gut microbiota interactions. However, few analytical strategies have been addressed for a broad analysis of metabolites with different chemical properties to better understand the chemical space of fecal samples. Here we report a systematic pipeline to achieve comprehensive coverage of the fecal metabolome, from high polar to nonpolar metabolites, using dog fecal samples as a proof-of-concept. This pipeline comprises a monophasic (ACN/H2O) and a biphasic extraction (methyl tert-butyl ether (MTBE)/MeOH/H2O) of the sample, followed by three liquid chromatography-high resolution tandem mass spectrometry (LC-HRMS/MS) methods using HILIC-amide, RP-C18 and CSH-C18 columns, and a switch polarity acquisition mode in the electrospray ion source. This approach allowed the annotation of 376 metabolites from 70 different chemical classes. The chemical space analysis by molecular networking and the pathway analysis revealed the complexity of the fecal sample and the importance of combined methods to better understand biochemical pathways. This pipeline can be used as a valuable tool to comprehend the relationship between host-gut microbiota metabolites and the influence of diet, medication, or environmental changes.
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