Cargando…
Multi-omics phenotyping of the gut-liver axis reveals metabolic perturbations from a low-dose pesticide mixture in rats
Health effects of pesticides are not always accurately detected using the current battery of regulatory toxicity tests. We compared standard histopathology and serum biochemistry measures and multi-omics analyses in a subchronic toxicity test of a mixture of six pesticides frequently detected in foo...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046807/ https://www.ncbi.nlm.nih.gov/pubmed/33854195 http://dx.doi.org/10.1038/s42003-021-01990-w |
_version_ | 1783678921472999424 |
---|---|
author | Mesnage, Robin Teixeira, Maxime Mandrioli, Daniele Falcioni, Laura Ibragim, Mariam Ducarmon, Quinten Raymond Zwittink, Romy Daniëlle Amiel, Caroline Panoff, Jean-Michel Bourne, Emma Savage, Emanuel Mein, Charles A. Belpoggi, Fiorella Antoniou, Michael N. |
author_facet | Mesnage, Robin Teixeira, Maxime Mandrioli, Daniele Falcioni, Laura Ibragim, Mariam Ducarmon, Quinten Raymond Zwittink, Romy Daniëlle Amiel, Caroline Panoff, Jean-Michel Bourne, Emma Savage, Emanuel Mein, Charles A. Belpoggi, Fiorella Antoniou, Michael N. |
author_sort | Mesnage, Robin |
collection | PubMed |
description | Health effects of pesticides are not always accurately detected using the current battery of regulatory toxicity tests. We compared standard histopathology and serum biochemistry measures and multi-omics analyses in a subchronic toxicity test of a mixture of six pesticides frequently detected in foodstuffs (azoxystrobin, boscalid, chlorpyrifos, glyphosate, imidacloprid and thiabendazole) in Sprague-Dawley rats. Analysis of water and feed consumption, body weight, histopathology and serum biochemistry showed little effect. Contrastingly, serum and caecum metabolomics revealed that nicotinamide and tryptophan metabolism were affected, which suggested activation of an oxidative stress response. This was not reflected by gut microbial community composition changes evaluated by shotgun metagenomics. Transcriptomics of the liver showed that 257 genes had their expression changed. Gene functions affected included the regulation of response to steroid hormones and the activation of stress response pathways. Genome-wide DNA methylation analysis of the same liver samples showed that 4,255 CpG sites were differentially methylated. Overall, we demonstrated that in-depth molecular profiling in laboratory animals exposed to low concentrations of pesticides allows the detection of metabolic perturbations that would remain undetected by standard regulatory biochemical measures and which could thus improve the predictability of health risks from exposure to chemical pollutants. |
format | Online Article Text |
id | pubmed-8046807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80468072021-04-30 Multi-omics phenotyping of the gut-liver axis reveals metabolic perturbations from a low-dose pesticide mixture in rats Mesnage, Robin Teixeira, Maxime Mandrioli, Daniele Falcioni, Laura Ibragim, Mariam Ducarmon, Quinten Raymond Zwittink, Romy Daniëlle Amiel, Caroline Panoff, Jean-Michel Bourne, Emma Savage, Emanuel Mein, Charles A. Belpoggi, Fiorella Antoniou, Michael N. Commun Biol Article Health effects of pesticides are not always accurately detected using the current battery of regulatory toxicity tests. We compared standard histopathology and serum biochemistry measures and multi-omics analyses in a subchronic toxicity test of a mixture of six pesticides frequently detected in foodstuffs (azoxystrobin, boscalid, chlorpyrifos, glyphosate, imidacloprid and thiabendazole) in Sprague-Dawley rats. Analysis of water and feed consumption, body weight, histopathology and serum biochemistry showed little effect. Contrastingly, serum and caecum metabolomics revealed that nicotinamide and tryptophan metabolism were affected, which suggested activation of an oxidative stress response. This was not reflected by gut microbial community composition changes evaluated by shotgun metagenomics. Transcriptomics of the liver showed that 257 genes had their expression changed. Gene functions affected included the regulation of response to steroid hormones and the activation of stress response pathways. Genome-wide DNA methylation analysis of the same liver samples showed that 4,255 CpG sites were differentially methylated. Overall, we demonstrated that in-depth molecular profiling in laboratory animals exposed to low concentrations of pesticides allows the detection of metabolic perturbations that would remain undetected by standard regulatory biochemical measures and which could thus improve the predictability of health risks from exposure to chemical pollutants. Nature Publishing Group UK 2021-04-14 /pmc/articles/PMC8046807/ /pubmed/33854195 http://dx.doi.org/10.1038/s42003-021-01990-w Text en © The Author(s) 2021 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Mesnage, Robin Teixeira, Maxime Mandrioli, Daniele Falcioni, Laura Ibragim, Mariam Ducarmon, Quinten Raymond Zwittink, Romy Daniëlle Amiel, Caroline Panoff, Jean-Michel Bourne, Emma Savage, Emanuel Mein, Charles A. Belpoggi, Fiorella Antoniou, Michael N. Multi-omics phenotyping of the gut-liver axis reveals metabolic perturbations from a low-dose pesticide mixture in rats |
title | Multi-omics phenotyping of the gut-liver axis reveals metabolic perturbations from a low-dose pesticide mixture in rats |
title_full | Multi-omics phenotyping of the gut-liver axis reveals metabolic perturbations from a low-dose pesticide mixture in rats |
title_fullStr | Multi-omics phenotyping of the gut-liver axis reveals metabolic perturbations from a low-dose pesticide mixture in rats |
title_full_unstemmed | Multi-omics phenotyping of the gut-liver axis reveals metabolic perturbations from a low-dose pesticide mixture in rats |
title_short | Multi-omics phenotyping of the gut-liver axis reveals metabolic perturbations from a low-dose pesticide mixture in rats |
title_sort | multi-omics phenotyping of the gut-liver axis reveals metabolic perturbations from a low-dose pesticide mixture in rats |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046807/ https://www.ncbi.nlm.nih.gov/pubmed/33854195 http://dx.doi.org/10.1038/s42003-021-01990-w |
work_keys_str_mv | AT mesnagerobin multiomicsphenotypingofthegutliveraxisrevealsmetabolicperturbationsfromalowdosepesticidemixtureinrats AT teixeiramaxime multiomicsphenotypingofthegutliveraxisrevealsmetabolicperturbationsfromalowdosepesticidemixtureinrats AT mandriolidaniele multiomicsphenotypingofthegutliveraxisrevealsmetabolicperturbationsfromalowdosepesticidemixtureinrats AT falcionilaura multiomicsphenotypingofthegutliveraxisrevealsmetabolicperturbationsfromalowdosepesticidemixtureinrats AT ibragimmariam multiomicsphenotypingofthegutliveraxisrevealsmetabolicperturbationsfromalowdosepesticidemixtureinrats AT ducarmonquintenraymond multiomicsphenotypingofthegutliveraxisrevealsmetabolicperturbationsfromalowdosepesticidemixtureinrats AT zwittinkromydanielle multiomicsphenotypingofthegutliveraxisrevealsmetabolicperturbationsfromalowdosepesticidemixtureinrats AT amielcaroline multiomicsphenotypingofthegutliveraxisrevealsmetabolicperturbationsfromalowdosepesticidemixtureinrats AT panoffjeanmichel multiomicsphenotypingofthegutliveraxisrevealsmetabolicperturbationsfromalowdosepesticidemixtureinrats AT bourneemma multiomicsphenotypingofthegutliveraxisrevealsmetabolicperturbationsfromalowdosepesticidemixtureinrats AT savageemanuel multiomicsphenotypingofthegutliveraxisrevealsmetabolicperturbationsfromalowdosepesticidemixtureinrats AT meincharlesa multiomicsphenotypingofthegutliveraxisrevealsmetabolicperturbationsfromalowdosepesticidemixtureinrats AT belpoggifiorella multiomicsphenotypingofthegutliveraxisrevealsmetabolicperturbationsfromalowdosepesticidemixtureinrats AT antonioumichaeln multiomicsphenotypingofthegutliveraxisrevealsmetabolicperturbationsfromalowdosepesticidemixtureinrats |