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Metabolomics Tools for Describing Complex Pesticide Exposure in Pregnant Women in Brittany (France)
BACKGROUND: The use of pesticides and the related environmental contaminations can lead to human exposure to various molecules. In early-life, such exposures could be responsible for adverse developmental effects. However, human health risks associated with exposure to complex mixtures are currently...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3660334/ https://www.ncbi.nlm.nih.gov/pubmed/23704985 http://dx.doi.org/10.1371/journal.pone.0064433 |
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author | Bonvallot, Nathalie Tremblay-Franco, Marie Chevrier, Cécile Canlet, Cécile Warembourg, Charline Cravedi, Jean-Pierre Cordier, Sylvaine |
author_facet | Bonvallot, Nathalie Tremblay-Franco, Marie Chevrier, Cécile Canlet, Cécile Warembourg, Charline Cravedi, Jean-Pierre Cordier, Sylvaine |
author_sort | Bonvallot, Nathalie |
collection | PubMed |
description | BACKGROUND: The use of pesticides and the related environmental contaminations can lead to human exposure to various molecules. In early-life, such exposures could be responsible for adverse developmental effects. However, human health risks associated with exposure to complex mixtures are currently under-explored. OBJECTIVE: This project aims at answering the following questions: What is the influence of exposures to multiple pesticides on the metabolome? What mechanistic pathways could be involved in the metabolic changes observed? METHODS: Based on the PELAGIE cohort (Brittany, France), 83 pregnant women who provided a urine sample in early pregnancy, were classified in 3 groups according to the surface of land dedicated to agricultural cereal activities in their town of residence. Nuclear magnetic resonance-based metabolomics analyses were performed on urine samples. Partial Least Squares Regression-Discriminant Analysis (PLS-DA) and polytomous regressions were used to separate the urinary metabolic profiles from the 3 exposure groups after adjusting for potential confounders. RESULTS: The 3 groups of exposure were correctly separated with a PLS-DA model after implementing an orthogonal signal correction with pareto standardizations (R2 = 90.7% and Q2 = 0.53). After adjusting for maternal age, parity, body mass index and smoking habits, the most statistically significant changes were observed for glycine, threonine, lactate and glycerophosphocholine (upward trend), and for citrate (downward trend). CONCLUSION: This work suggests that an exposure to complex pesticide mixtures induces modifications of metabolic fingerprints. It can be hypothesized from identified discriminating metabolites that the pesticide mixtures could increase oxidative stress and disturb energy metabolism. |
format | Online Article Text |
id | pubmed-3660334 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36603342013-05-23 Metabolomics Tools for Describing Complex Pesticide Exposure in Pregnant Women in Brittany (France) Bonvallot, Nathalie Tremblay-Franco, Marie Chevrier, Cécile Canlet, Cécile Warembourg, Charline Cravedi, Jean-Pierre Cordier, Sylvaine PLoS One Research Article BACKGROUND: The use of pesticides and the related environmental contaminations can lead to human exposure to various molecules. In early-life, such exposures could be responsible for adverse developmental effects. However, human health risks associated with exposure to complex mixtures are currently under-explored. OBJECTIVE: This project aims at answering the following questions: What is the influence of exposures to multiple pesticides on the metabolome? What mechanistic pathways could be involved in the metabolic changes observed? METHODS: Based on the PELAGIE cohort (Brittany, France), 83 pregnant women who provided a urine sample in early pregnancy, were classified in 3 groups according to the surface of land dedicated to agricultural cereal activities in their town of residence. Nuclear magnetic resonance-based metabolomics analyses were performed on urine samples. Partial Least Squares Regression-Discriminant Analysis (PLS-DA) and polytomous regressions were used to separate the urinary metabolic profiles from the 3 exposure groups after adjusting for potential confounders. RESULTS: The 3 groups of exposure were correctly separated with a PLS-DA model after implementing an orthogonal signal correction with pareto standardizations (R2 = 90.7% and Q2 = 0.53). After adjusting for maternal age, parity, body mass index and smoking habits, the most statistically significant changes were observed for glycine, threonine, lactate and glycerophosphocholine (upward trend), and for citrate (downward trend). CONCLUSION: This work suggests that an exposure to complex pesticide mixtures induces modifications of metabolic fingerprints. It can be hypothesized from identified discriminating metabolites that the pesticide mixtures could increase oxidative stress and disturb energy metabolism. Public Library of Science 2013-05-21 /pmc/articles/PMC3660334/ /pubmed/23704985 http://dx.doi.org/10.1371/journal.pone.0064433 Text en © 2013 Bonvallot et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Bonvallot, Nathalie Tremblay-Franco, Marie Chevrier, Cécile Canlet, Cécile Warembourg, Charline Cravedi, Jean-Pierre Cordier, Sylvaine Metabolomics Tools for Describing Complex Pesticide Exposure in Pregnant Women in Brittany (France) |
title | Metabolomics Tools for Describing Complex Pesticide Exposure in Pregnant Women in Brittany (France) |
title_full | Metabolomics Tools for Describing Complex Pesticide Exposure in Pregnant Women in Brittany (France) |
title_fullStr | Metabolomics Tools for Describing Complex Pesticide Exposure in Pregnant Women in Brittany (France) |
title_full_unstemmed | Metabolomics Tools for Describing Complex Pesticide Exposure in Pregnant Women in Brittany (France) |
title_short | Metabolomics Tools for Describing Complex Pesticide Exposure in Pregnant Women in Brittany (France) |
title_sort | metabolomics tools for describing complex pesticide exposure in pregnant women in brittany (france) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3660334/ https://www.ncbi.nlm.nih.gov/pubmed/23704985 http://dx.doi.org/10.1371/journal.pone.0064433 |
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