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Use este identificador para citar o ir al link de este elemento: http://hdl.handle.net/1843/80542
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Campo DCValorIdioma
dc.creatorDaniela Magalhães Nolascopt_BR
dc.creatorMichele Polyana Rocha Mendespt_BR
dc.creatorLuiz Paulo de Aguiar Marcianopt_BR
dc.creatorLuiz Filipe Costapt_BR
dc.creatorAdriana Nori de Macedopt_BR
dc.creatorIsarita Martins Sakakibarapt_BR
dc.creatorAlessandra Cristina Pupin Silvériopt_BR
dc.creatorMaria José Nunes Paivapt_BR
dc.creatorLeiliane Coelho Andrépt_BR
dc.date.accessioned2025-03-06T20:13:33Z-
dc.date.available2025-03-06T20:13:33Z-
dc.date.issued2023-04-27-
dc.citation.volume13pt_BR
dc.citation.issue5pt_BR
dc.citation.spage1pt_BR
dc.citation.epage25pt_BR
dc.identifier.doihttps://doi.org/10.3390/metabo13050596pt_BR
dc.identifier.issn2218-1989pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/80542-
dc.description.resumoPesticides 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.pt_BR
dc.format.mimetypepdfpt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentFAR - DEPARTAMENTO DE ANÁLISES CLÍNICAS E TOXICOLÓGICASpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofMetabolitespt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectPesticidespt_BR
dc.subjectUntarget metabolomicpt_BR
dc.subjectOccupational toxicologypt_BR
dc.subjectUPLC-Q-TOF-MSpt_BR
dc.subjectPlasmapt_BR
dc.subjectUrinept_BR
dc.subject.otherPesticidaspt_BR
dc.subject.otherPesticida Toxicologiapt_BR
dc.subject.otherPlasmapt_BR
dc.titleAn exploratory study of the metabolite profiling from pesticides exposed workerspt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://www.mdpi.com/2218-1989/13/5/596pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-0916-1068pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-9721-7406pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-5036-9717pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-4125-3755pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-7471-3773pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-2093-2713pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-0840-0810pt_BR
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