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An Exploratory Study of the Metabolite Profiling from Pesticides Exposed Workers

Pesticides constitute a category of chemical products intended specifically for the control and mitigation of pests. With their constant increase in use, the risk to human health and the environment has increased proportionally due to occupational and environmental exposure to these compounds. The u...

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Autores principales: Nolasco, Daniela Magalhães, Mendes, Michele P. R., Marciano, Luiz Paulo de Aguiar, Costa, Luiz Filipe, Macedo, Adriana Nori De, Sakakibara, Isarita Martins, Silvério, Alessandra Cristina Pupin, Paiva, Maria José N., André, Leiliane C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220970/
https://www.ncbi.nlm.nih.gov/pubmed/37233637
http://dx.doi.org/10.3390/metabo13050596
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author Nolasco, Daniela Magalhães
Mendes, Michele P. R.
Marciano, Luiz Paulo de Aguiar
Costa, Luiz Filipe
Macedo, Adriana Nori De
Sakakibara, Isarita Martins
Silvério, Alessandra Cristina Pupin
Paiva, Maria José N.
André, Leiliane C.
author_facet Nolasco, Daniela Magalhães
Mendes, Michele P. R.
Marciano, Luiz Paulo de Aguiar
Costa, Luiz Filipe
Macedo, Adriana Nori De
Sakakibara, Isarita Martins
Silvério, Alessandra Cristina Pupin
Paiva, Maria José N.
André, Leiliane C.
author_sort Nolasco, Daniela Magalhães
collection PubMed
description Pesticides constitute a category of chemical products intended specifically for the control and mitigation of pests. With their constant increase in use, the risk to human health and the environment has increased proportionally due to occupational and environmental exposure to these compounds. The use of these chemicals is associated with several toxic effects related to acute and chronic toxicity, such as infertility, hormonal disorders and cancer. The present work aimed to study the metabolic profile of individuals occupationally exposed to pesticides, using a metabolomics tool to identify potential new biomarkers. Metabolomics analysis was carried out on plasma and urine samples from individuals exposed and non-exposed occupationally, using liquid chromatography coupled with mass spectrometry (UPLC-MS). Non-targeted metabolomics analysis, using principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) or partial least squares discriminant orthogonal analysis (OPLS-DA), demonstrated good separation of the samples and identified 21 discriminating metabolites in plasma and 17 in urine. The analysis of the ROC curve indicated the compounds with the greatest potential for biomarkers. Comprehensive analysis of the metabolic pathways influenced by exposure to pesticides revealed alterations, mainly in lipid and amino acid metabolism. This study indicates that the use of metabolomics provides important information about complex biological responses.
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spelling pubmed-102209702023-05-28 An Exploratory Study of the Metabolite Profiling from Pesticides Exposed Workers Nolasco, Daniela Magalhães Mendes, Michele P. R. Marciano, Luiz Paulo de Aguiar Costa, Luiz Filipe Macedo, Adriana Nori De Sakakibara, Isarita Martins Silvério, Alessandra Cristina Pupin Paiva, Maria José N. André, Leiliane C. Metabolites Article Pesticides constitute a category of chemical products intended specifically for the control and mitigation of pests. With their constant increase in use, the risk to human health and the environment has increased proportionally due to occupational and environmental exposure to these compounds. The use of these chemicals is associated with several toxic effects related to acute and chronic toxicity, such as infertility, hormonal disorders and cancer. The present work aimed to study the metabolic profile of individuals occupationally exposed to pesticides, using a metabolomics tool to identify potential new biomarkers. Metabolomics analysis was carried out on plasma and urine samples from individuals exposed and non-exposed occupationally, using liquid chromatography coupled with mass spectrometry (UPLC-MS). Non-targeted metabolomics analysis, using principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) or partial least squares discriminant orthogonal analysis (OPLS-DA), demonstrated good separation of the samples and identified 21 discriminating metabolites in plasma and 17 in urine. The analysis of the ROC curve indicated the compounds with the greatest potential for biomarkers. Comprehensive analysis of the metabolic pathways influenced by exposure to pesticides revealed alterations, mainly in lipid and amino acid metabolism. This study indicates that the use of metabolomics provides important information about complex biological responses. MDPI 2023-04-27 /pmc/articles/PMC10220970/ /pubmed/37233637 http://dx.doi.org/10.3390/metabo13050596 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Nolasco, Daniela Magalhães
Mendes, Michele P. R.
Marciano, Luiz Paulo de Aguiar
Costa, Luiz Filipe
Macedo, Adriana Nori De
Sakakibara, Isarita Martins
Silvério, Alessandra Cristina Pupin
Paiva, Maria José N.
André, Leiliane C.
An Exploratory Study of the Metabolite Profiling from Pesticides Exposed Workers
title An Exploratory Study of the Metabolite Profiling from Pesticides Exposed Workers
title_full An Exploratory Study of the Metabolite Profiling from Pesticides Exposed Workers
title_fullStr An Exploratory Study of the Metabolite Profiling from Pesticides Exposed Workers
title_full_unstemmed An Exploratory Study of the Metabolite Profiling from Pesticides Exposed Workers
title_short An Exploratory Study of the Metabolite Profiling from Pesticides Exposed Workers
title_sort exploratory study of the metabolite profiling from pesticides exposed workers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220970/
https://www.ncbi.nlm.nih.gov/pubmed/37233637
http://dx.doi.org/10.3390/metabo13050596
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