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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/48525
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dc.creatorVânia Aparecida Mendes Goulartpt_BR
dc.creatorMarcelo Martins de Senapt_BR
dc.creatorThiago de Oliveira Mendespt_BR
dc.creatorHelvécio Costa Menezespt_BR
dc.creatorZenilda de Lourdes Cardealpt_BR
dc.creatorMaria José Nunes de Paivapt_BR
dc.creatorValéria Cristina Sandrimpt_BR
dc.creatorMauro Cunha Xavier Pintopt_BR
dc.creatorRodrigo Ribeiro Resendept_BR
dc.date.accessioned2022-12-30T12:40:31Z-
dc.date.available2022-12-30T12:40:31Z-
dc.date.issued2019-
dc.citation.volume2019pt_BR
dc.citation.spage1pt_BR
dc.citation.epage11pt_BR
dc.identifier.doihttps://doi.org/10.1155/2019/8480468pt_BR
dc.identifier.issn2314-6133pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/48525-
dc.description.resumoIschemic stroke is a neurovascular disorder caused by reduced or blockage of blood flow to the brain, which may permanently affect motor and cognitive abilities. The diagnostic of stroke is performed using imaging technologies, clinical evaluation, and neuropsychological protocols, but no blood test is available yet. In this work, we analyzed amino acid concentrations in blood plasma from poststroke patients in order to identify differences that could characterize the stroke etiology. Plasma concentrations of sixteen amino acids from patients with chronic ischemic stroke (n = 73) and the control group (n = 16) were determined using gas chromatography coupled to mass spectrometry (GC-MS). The concentration data was processed by Partial Least Squares-Discriminant Analysis (PLS-DA) to classify patients with stroke and control. The amino acid analysis generated a first model able to discriminate ischemic stroke patients from control group. Proline was the most important amino acid for classification of the stroke samples in PLS-DA, followed by lysine, phenylalanine, leucine, and glycine, and while higher levels of methionine and alanine were mostly related to the control samples. The second model was able to discriminate the stroke subtypes like atherothrombotic etiology from cardioembolic and lacunar etiologies, with lysine, leucine, and cysteine plasmatic concentrations being the most important metabolites. Our results suggest an amino acid biosignature for patients with chronic stroke in plasma samples, which can be helpful in diagnosis, prognosis, and therapeutics of these patients.pt_BR
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológicopt_BR
dc.description.sponsorshipFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Geraispt_BR
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorpt_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.departmentICB - DEPARTAMENTO DE BIOQUÍMICA E IMUNOLOGIApt_BR
dc.publisher.departmentICX - DEPARTAMENTO DE QUÍMICApt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofBioMed Research Internationalpt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectAmino acidpt_BR
dc.subjectIschemic strokept_BR
dc.subjectStroke etiologypt_BR
dc.subjectMass spectrometrypt_BR
dc.subjectGas chromatographypt_BR
dc.subjectBiomarkerspt_BR
dc.subject.otherBioquímicapt_BR
dc.subject.otherAminoácidospt_BR
dc.subject.otherMarcadores biológicospt_BR
dc.subject.otherAcidentes vasculares cerebraispt_BR
dc.subject.otherIsquemia cerebralpt_BR
dc.subject.otherEspectrometria de massapt_BR
dc.titleAmino acid biosignature in plasma among ischemic stroke subtypespt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://www.hindawi.com/journals/bmri/2019/8480468/pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-3234-8357pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-5693-9015pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-8346-1552pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-5759-612Xpt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-1383-6299pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-6168-7470pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-1680-8130pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-2003-0739pt_BR
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