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Simultaneously discovering the fate and biochemical effects of pharmaceuticals through untargeted metabolomics
Untargeted metabolomics is an established approach in toxicology for characterising endogenous metabolic responses to xenobiotic exposure. Detecting the xenobiotic and its biotransformation products as part of the metabolomics analysis provides an opportunity to simultaneously gain deep insights int...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400635/ https://www.ncbi.nlm.nih.gov/pubmed/37537184 http://dx.doi.org/10.1038/s41467-023-40333-7 |
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author | Bowen, Tara J. Southam, Andrew D. Hall, Andrew R. Weber, Ralf J. M. Lloyd, Gavin R. Macdonald, Ruth Wilson, Amanda Pointon, Amy Viant, Mark R. |
author_facet | Bowen, Tara J. Southam, Andrew D. Hall, Andrew R. Weber, Ralf J. M. Lloyd, Gavin R. Macdonald, Ruth Wilson, Amanda Pointon, Amy Viant, Mark R. |
author_sort | Bowen, Tara J. |
collection | PubMed |
description | Untargeted metabolomics is an established approach in toxicology for characterising endogenous metabolic responses to xenobiotic exposure. Detecting the xenobiotic and its biotransformation products as part of the metabolomics analysis provides an opportunity to simultaneously gain deep insights into its fate and metabolism, and to associate the internal relative dose directly with endogenous metabolic responses. This integration of untargeted exposure and response measurements into a single assay has yet to be fully demonstrated. Here we assemble a workflow to discover and analyse pharmaceutical-related measurements from routine untargeted UHPLC-MS metabolomics datasets, derived from in vivo (rat plasma and cardiac tissue, and human plasma) and in vitro (human cardiomyocytes) studies that were principally designed to investigate endogenous metabolic responses to drug exposure. Our findings clearly demonstrate how untargeted metabolomics can discover extensive biotransformation maps, temporally-changing relative systemic exposure, and direct associations of endogenous biochemical responses to the internal dose. |
format | Online Article Text |
id | pubmed-10400635 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104006352023-08-05 Simultaneously discovering the fate and biochemical effects of pharmaceuticals through untargeted metabolomics Bowen, Tara J. Southam, Andrew D. Hall, Andrew R. Weber, Ralf J. M. Lloyd, Gavin R. Macdonald, Ruth Wilson, Amanda Pointon, Amy Viant, Mark R. Nat Commun Article Untargeted metabolomics is an established approach in toxicology for characterising endogenous metabolic responses to xenobiotic exposure. Detecting the xenobiotic and its biotransformation products as part of the metabolomics analysis provides an opportunity to simultaneously gain deep insights into its fate and metabolism, and to associate the internal relative dose directly with endogenous metabolic responses. This integration of untargeted exposure and response measurements into a single assay has yet to be fully demonstrated. Here we assemble a workflow to discover and analyse pharmaceutical-related measurements from routine untargeted UHPLC-MS metabolomics datasets, derived from in vivo (rat plasma and cardiac tissue, and human plasma) and in vitro (human cardiomyocytes) studies that were principally designed to investigate endogenous metabolic responses to drug exposure. Our findings clearly demonstrate how untargeted metabolomics can discover extensive biotransformation maps, temporally-changing relative systemic exposure, and direct associations of endogenous biochemical responses to the internal dose. Nature Publishing Group UK 2023-08-03 /pmc/articles/PMC10400635/ /pubmed/37537184 http://dx.doi.org/10.1038/s41467-023-40333-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Bowen, Tara J. Southam, Andrew D. Hall, Andrew R. Weber, Ralf J. M. Lloyd, Gavin R. Macdonald, Ruth Wilson, Amanda Pointon, Amy Viant, Mark R. Simultaneously discovering the fate and biochemical effects of pharmaceuticals through untargeted metabolomics |
title | Simultaneously discovering the fate and biochemical effects of pharmaceuticals through untargeted metabolomics |
title_full | Simultaneously discovering the fate and biochemical effects of pharmaceuticals through untargeted metabolomics |
title_fullStr | Simultaneously discovering the fate and biochemical effects of pharmaceuticals through untargeted metabolomics |
title_full_unstemmed | Simultaneously discovering the fate and biochemical effects of pharmaceuticals through untargeted metabolomics |
title_short | Simultaneously discovering the fate and biochemical effects of pharmaceuticals through untargeted metabolomics |
title_sort | simultaneously discovering the fate and biochemical effects of pharmaceuticals through untargeted metabolomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400635/ https://www.ncbi.nlm.nih.gov/pubmed/37537184 http://dx.doi.org/10.1038/s41467-023-40333-7 |
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