Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 1 de 1
Filtrar
Mais filtros











Base de dados
Intervalo de ano de publicação
1.
Life Sci Alliance ; 4(8)2021 08.
Artigo em Inglês | MEDLINE | ID: mdl-34168074

RESUMO

SARS-CoV-2 infection poses a global health crisis. In parallel with the ongoing world effort to identify therapeutic solutions, there is a critical need for improvement in the prognosis of COVID-19. Here, we report plasma proteome fingerprinting that predict high (hospitalized) and low-risk (outpatients) cases of COVID-19 identified by a platform that combines machine learning with matrix-assisted laser desorption ionization mass spectrometry analysis. Sample preparation, MS, and data analysis parameters were optimized to achieve an overall accuracy of 92%, sensitivity of 93%, and specificity of 92% in dataset without feature selection. We identified two distinct regions in the MALDI-TOF profile belonging to the same proteoforms. A combination of SDS-PAGE and quantitative bottom-up proteomic analysis allowed the identification of intact and truncated forms of serum amyloid A-1 and A-2 proteins, both already described as biomarkers for viral infections in the acute phase. Unbiased discrimination of high- and low-risk COVID-19 patients using a technology that is currently in clinical use may have a prompt application in the noninvasive prognosis of COVID-19. Further validation will consolidate its clinical utility.


Assuntos
COVID-19/diagnóstico , Aprendizado de Máquina , Proteoma/metabolismo , Proteômica/métodos , SARS-CoV-2/metabolismo , Espectrometria de Massas por Ionização e Dessorção a Laser Assistida por Matriz/métodos , Adulto , Idoso , Biomarcadores/sangue , COVID-19/epidemiologia , COVID-19/virologia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Pandemias , Prognóstico , Reprodutibilidade dos Testes , SARS-CoV-2/fisiologia , Sensibilidade e Especificidade , Proteína Amiloide A Sérica/análise
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA