dc.contributorAnibal, Fernanda de Freitas
dc.contributorhttp://lattes.cnpq.br/4918261968772806
dc.contributorPott Júnior, Henrique
dc.contributorhttp://lattes.cnpq.br/5961854320494257
dc.contributorhttp://lattes.cnpq.br/8851940343344084
dc.creatorLuporini, Rafael Luís
dc.date.accessioned2022-05-31T19:05:02Z
dc.date.accessioned2022-10-10T21:40:28Z
dc.date.available2022-05-31T19:05:02Z
dc.date.available2022-10-10T21:40:28Z
dc.date.created2022-05-31T19:05:02Z
dc.date.issued2022-04-28
dc.identifierLUPORINI, Rafael Luís. Biomarcadores de gravidade da COVID-19. 2022. Tese (Doutorado em Biotecnologia) – Universidade Federal de São Carlos, São Carlos, 2022. Disponível em: https://repositorio.ufscar.br/handle/ufscar/16216.
dc.identifierhttps://repositorio.ufscar.br/handle/ufscar/16216
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/4046240
dc.description.abstractCoronavirus disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, reached pandemic status in 2020, becoming a major global health problem. COVID-19 has a wide spectrum of manifestations, ranging from asymptomatic forms to severe forms such as acute respiratory distress syndrome, cytokine storm and death. Given the magnitude, mortality and morbidity affected in the last two years by COVID-19, this study aimed to identify biomarkers in patients with COVID-19 that establish a relationship with the severity of the disease at hospital admission. Among these biomarkers are inflammatory cytokines, hepatic transaminases and metabolites analyzed by metabolomics. The present research is a unicentric cross-sectional study, conducted at the HU-UFSCar. Clinical, age, sociodemographic, comorbidity and severity data from adult patients hospitalized with COVID-19 were analyzed. Blood samples were collected up to 12 hours after hospital admission. General biochemical analysis, flow cytometry (for inflammatory cytokines IL-2, IL-4, IL-6, IL-10, IFN-γ and TNF-α) and metabolomics by magnetic nuclear resonance were performed for several metabolites, including phenylalanine. After statistical analysis, our results showed that: 1) elderly people with COVID-19 have higher levels of IL-6 and IL-10 compared to the adult group, this difference being associated with the severity of the disease and, in the elderly group, the higher rates of comorbidities. 2) Liver transaminases are markers of COVID-19 severity, with IL-2 associated with borderline transaminase elevations, while IL-10 associated with moderate to severe elevations. 3) Phenylalanine is a severity marker for COVID-19 independent of inflammatory cytokines. In this way, it was possible to establish biomarkers associated with the severity of adult patients with COVID-19 and, thus, to contribute to the analysis of the severity of COVID-19 cases and to assist in the decisions on how to manage cases by health teams in a hospital environment.
dc.languagepor
dc.publisherUniversidade Federal de São Carlos
dc.publisherUFSCar
dc.publisherPrograma de Pós-Graduação em Biotecnologia - PPGBiotec
dc.publisherCâmpus São Carlos
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/br/
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Brazil
dc.subjectCOVID-19
dc.subjectBiomarcadores
dc.subjectCitocinas inflamatórias
dc.subjectMetabolômica
dc.subjectTransaminases
dc.subjectFenilalanina
dc.subjectGravidade
dc.subjectTempestade de citocinas
dc.subjectPhenylalanine
dc.subjectSeverity
dc.subjectCytokine storm
dc.subjectBiomarkers
dc.subjectMetabolomics
dc.subjectImflammatory cytokines
dc.titleBiomarcadores de gravidade da COVID-19
dc.typeTesis


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