Cross-sectional analysis reveals autoantibody signatures associated with COVID-19 severity (2023)
Source: Journal of Medical Virology. Unidades: ICB, FCF
Subjects: IMUNOLOGIA, COVID-19, INFECÇÕES POR CORONAVIRUS, INFECÇÕES POR VÍRUS DE RNA, DOENÇAS AUTOIMUNES, AUTOANTICORPOS, IMUNOPROTEÍNAS, CITOCINAS, QUIMIOCINAS, IMUNOGLOBULINAS, ESTUDOS TRANSVERSAIS
ABNT
BAIOCCHI, Gabriela Crispim et al. Cross-sectional analysis reveals autoantibody signatures associated with COVID-19 severity. Journal of Medical Virology, 2023Tradução . . Disponível em: https://doi.org/10.1002/jmv.28538. Acesso em: 08 fev. 2023.APA
Baiocchi, G. C., Filgueiras, I. S., Schimke, L. F., Marques, A. H. C., Fonseca, D. L. M. da, Plaça, D. R., et al. (2023). Cross-sectional analysis reveals autoantibody signatures associated with COVID-19 severity. Journal of Medical Virology. doi:10.1002/jmv.28538NLM
Baiocchi GC, Filgueiras IS, Schimke LF, Marques AHC, Fonseca DLM da, Plaça DR, Freire PP, Camara NOS, Calich VLG, Marques OC. Cross-sectional analysis reveals autoantibody signatures associated with COVID-19 severity [Internet]. Journal of Medical Virology. 2023 ;[citado 2023 fev. 08 ] Available from: https://doi.org/10.1002/jmv.28538Vancouver
Baiocchi GC, Filgueiras IS, Schimke LF, Marques AHC, Fonseca DLM da, Plaça DR, Freire PP, Camara NOS, Calich VLG, Marques OC. Cross-sectional analysis reveals autoantibody signatures associated with COVID-19 severity [Internet]. Journal of Medical Virology. 2023 ;[citado 2023 fev. 08 ] Available from: https://doi.org/10.1002/jmv.28538