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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10220970 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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