Cross-sectional analysis reveals autoantibody signatures associated with COVID-19 severity (2023)
Baiocchi, Gabriela Crispim 
; Vojdani, Aristo ; Rosenberg, Avi Z. ; Vojdani, Elroy ; Halpert, Gilad ; Yuri Ostrinski ; Israel Zyskind ; Filgueiras, Igor Salerno ; Schimke, Lena Friederike ; Marques, Alexandre Henrique Carvalho ; Giil, Lasse M. ; Lavi, Yael Bublil ; Silverberg, Jonathan I. ; Zimmerman, Jason; Hill, Dana Ashley ; Thornton, Amanda ; Kim, Myungjin; Vito, Roberta De ; Fonseca, Dennyson Leandro Mathias da ; Plaça, Desireé Rodrigues ; Freire, Paula Paccielli ; Carmen Scheibenbogen ; Heidecke, Harald; Lattin, Miriam T.; Ochs, Hans D. ; Gabriela Riemekasten ; Howard Amital ; Yehuda Shoenfeld ; Câmara, Niels Olsen Saraiva ; Calich, Vera Lúcia Garcia ; Marques, Otavio Cabral
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, v. 95, n. 1, p. 1-13, 2023Tradução . . Disponível em: https://doi.org/10.1002/jmv.28538. Acesso em: 18 nov. 2024.APA
Baiocchi, G. C., Vojdani, A., Rosenberg, A. Z., Vojdani, E., Halpert, G., Yuri Ostrinski,, et al. (2023). Cross-sectional analysis reveals autoantibody signatures associated with COVID-19 severity. Journal of Medical Virology, 95( 1), 1-13. doi:10.1002/jmv.28538NLM
Baiocchi GC, Vojdani A, Rosenberg AZ, Vojdani E, Halpert G, Yuri Ostrinski, Israel Zyskind, Filgueiras IS, Schimke LF, Marques AHC, Giil LM, Lavi YB, Silverberg JI, Zimmerman J, Hill DA, Thornton A, Kim M, Vito RD, Fonseca DLM da, Plaça DR, Freire PP, Carmen Scheibenbogen, Heidecke H, Lattin MT, Ochs HD, Gabriela Riemekasten, Howard Amital, Yehuda Shoenfeld, Câmara NOS, Calich VLG, Marques OC. Cross-sectional analysis reveals autoantibody signatures associated with COVID-19 severity [Internet]. Journal of Medical Virology. 2023 ; 95( 1): 1-13.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1002/jmv.28538Vancouver
Baiocchi GC, Vojdani A, Rosenberg AZ, Vojdani E, Halpert G, Yuri Ostrinski, Israel Zyskind, Filgueiras IS, Schimke LF, Marques AHC, Giil LM, Lavi YB, Silverberg JI, Zimmerman J, Hill DA, Thornton A, Kim M, Vito RD, Fonseca DLM da, Plaça DR, Freire PP, Carmen Scheibenbogen, Heidecke H, Lattin MT, Ochs HD, Gabriela Riemekasten, Howard Amital, Yehuda Shoenfeld, Câmara NOS, Calich VLG, Marques OC. Cross-sectional analysis reveals autoantibody signatures associated with COVID-19 severity [Internet]. Journal of Medical Virology. 2023 ; 95( 1): 1-13.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1002/jmv.28538
