Cargando…

New enzymatic and mass spectrometric methodology for the selective investigation of gut microbiota-derived metabolites

Gut microbiota significantly impact human physiology through metabolic interaction. Selective investigation of the co-metabolism of bacteria and their human host is a challenging task and methods for their analysis are limited. One class of metabolites associated with this co-metabolism are O-sulfat...

Descripción completa

Detalles Bibliográficos
Autores principales: Ballet, Caroline, Correia, Mário S. P., Conway, Louis P., Locher, Theresa L., Lehmann, Laura C., Garg, Neeraj, Vujasinovic, Miroslav, Deindl, Sebastian, Löhr, J.-Matthias, Globisch, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Royal Society of Chemistry 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6063053/
https://www.ncbi.nlm.nih.gov/pubmed/30090311
http://dx.doi.org/10.1039/c8sc01502c
_version_ 1783342486205235200
author Ballet, Caroline
Correia, Mário S. P.
Conway, Louis P.
Locher, Theresa L.
Lehmann, Laura C.
Garg, Neeraj
Vujasinovic, Miroslav
Deindl, Sebastian
Löhr, J.-Matthias
Globisch, Daniel
author_facet Ballet, Caroline
Correia, Mário S. P.
Conway, Louis P.
Locher, Theresa L.
Lehmann, Laura C.
Garg, Neeraj
Vujasinovic, Miroslav
Deindl, Sebastian
Löhr, J.-Matthias
Globisch, Daniel
author_sort Ballet, Caroline
collection PubMed
description Gut microbiota significantly impact human physiology through metabolic interaction. Selective investigation of the co-metabolism of bacteria and their human host is a challenging task and methods for their analysis are limited. One class of metabolites associated with this co-metabolism are O-sulfated compounds. Herein, we describe the development of a new enzymatic assay for the selective mass spectrometric investigation of this phase II modification class. Analysis of human urine and fecal samples resulted in the detection of 206 sulfated metabolites, which is three times more than reported in the Human Metabolome Database. We confirmed the chemical structure of 36 sulfated metabolites including unknown and commonly reported microbiota-derived sulfated metabolites using synthesized internal standards and mass spectrometric fragmentation experiments. Our findings demonstrate that enzymatic sample pre-treatment combined with state-of-the-art metabolomics analysis represents a new and efficient strategy for the discovery of unknown microbiota-derived metabolites in human samples. Our described approach can be adapted for the targeted investigation of other metabolite classes as well as the discovery of biomarkers for diseases affected by microbiota.
format Online
Article
Text
id pubmed-6063053
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Royal Society of Chemistry
record_format MEDLINE/PubMed
spelling pubmed-60630532018-08-08 New enzymatic and mass spectrometric methodology for the selective investigation of gut microbiota-derived metabolites Ballet, Caroline Correia, Mário S. P. Conway, Louis P. Locher, Theresa L. Lehmann, Laura C. Garg, Neeraj Vujasinovic, Miroslav Deindl, Sebastian Löhr, J.-Matthias Globisch, Daniel Chem Sci Chemistry Gut microbiota significantly impact human physiology through metabolic interaction. Selective investigation of the co-metabolism of bacteria and their human host is a challenging task and methods for their analysis are limited. One class of metabolites associated with this co-metabolism are O-sulfated compounds. Herein, we describe the development of a new enzymatic assay for the selective mass spectrometric investigation of this phase II modification class. Analysis of human urine and fecal samples resulted in the detection of 206 sulfated metabolites, which is three times more than reported in the Human Metabolome Database. We confirmed the chemical structure of 36 sulfated metabolites including unknown and commonly reported microbiota-derived sulfated metabolites using synthesized internal standards and mass spectrometric fragmentation experiments. Our findings demonstrate that enzymatic sample pre-treatment combined with state-of-the-art metabolomics analysis represents a new and efficient strategy for the discovery of unknown microbiota-derived metabolites in human samples. Our described approach can be adapted for the targeted investigation of other metabolite classes as well as the discovery of biomarkers for diseases affected by microbiota. Royal Society of Chemistry 2018-06-28 /pmc/articles/PMC6063053/ /pubmed/30090311 http://dx.doi.org/10.1039/c8sc01502c Text en This journal is © The Royal Society of Chemistry 2018 http://creativecommons.org/licenses/by-nc/3.0/ This article is freely available. This article is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported Licence (CC BY-NC 3.0)
spellingShingle Chemistry
Ballet, Caroline
Correia, Mário S. P.
Conway, Louis P.
Locher, Theresa L.
Lehmann, Laura C.
Garg, Neeraj
Vujasinovic, Miroslav
Deindl, Sebastian
Löhr, J.-Matthias
Globisch, Daniel
New enzymatic and mass spectrometric methodology for the selective investigation of gut microbiota-derived metabolites
title New enzymatic and mass spectrometric methodology for the selective investigation of gut microbiota-derived metabolites
title_full New enzymatic and mass spectrometric methodology for the selective investigation of gut microbiota-derived metabolites
title_fullStr New enzymatic and mass spectrometric methodology for the selective investigation of gut microbiota-derived metabolites
title_full_unstemmed New enzymatic and mass spectrometric methodology for the selective investigation of gut microbiota-derived metabolites
title_short New enzymatic and mass spectrometric methodology for the selective investigation of gut microbiota-derived metabolites
title_sort new enzymatic and mass spectrometric methodology for the selective investigation of gut microbiota-derived metabolites
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6063053/
https://www.ncbi.nlm.nih.gov/pubmed/30090311
http://dx.doi.org/10.1039/c8sc01502c
work_keys_str_mv AT balletcaroline newenzymaticandmassspectrometricmethodologyfortheselectiveinvestigationofgutmicrobiotaderivedmetabolites
AT correiamariosp newenzymaticandmassspectrometricmethodologyfortheselectiveinvestigationofgutmicrobiotaderivedmetabolites
AT conwaylouisp newenzymaticandmassspectrometricmethodologyfortheselectiveinvestigationofgutmicrobiotaderivedmetabolites
AT lochertheresal newenzymaticandmassspectrometricmethodologyfortheselectiveinvestigationofgutmicrobiotaderivedmetabolites
AT lehmannlaurac newenzymaticandmassspectrometricmethodologyfortheselectiveinvestigationofgutmicrobiotaderivedmetabolites
AT gargneeraj newenzymaticandmassspectrometricmethodologyfortheselectiveinvestigationofgutmicrobiotaderivedmetabolites
AT vujasinovicmiroslav newenzymaticandmassspectrometricmethodologyfortheselectiveinvestigationofgutmicrobiotaderivedmetabolites
AT deindlsebastian newenzymaticandmassspectrometricmethodologyfortheselectiveinvestigationofgutmicrobiotaderivedmetabolites
AT lohrjmatthias newenzymaticandmassspectrometricmethodologyfortheselectiveinvestigationofgutmicrobiotaderivedmetabolites
AT globischdaniel newenzymaticandmassspectrometricmethodologyfortheselectiveinvestigationofgutmicrobiotaderivedmetabolites