Your browser doesn't support javascript.
loading
Autoantigen profiling reveals a shared post-COVID signature in fully recovered and long COVID patients.
Bodansky, Aaron; Wang, Chung-Yu; Saxena, Aditi; Mitchell, Anthea; Kung, Andrew F; Takahashi, Saki; Anglin, Khamal; Huang, Beatrice; Hoh, Rebecca; Lu, Scott; Goldberg, Sarah A; Romero, Justin; Tran, Brandon; Kirtikar, Raushun; Grebe, Halle; So, Matthew; Greenhouse, Bryan; Durstenfeld, Matthew S; Hsue, Priscilla Y; Hellmuth, Joanna; Kelly, J Daniel; Martin, Jeffrey N; Anderson, Mark S; Deeks, Steven G; Henrich, Timothy J; DeRisi, Joseph L; Peluso, Michael J.
Afiliação
  • Bodansky A; Division of Pediatric Critical Care Medicine, UCSF, San Francisco, California, USA.
  • Wang CY; Chan Zuckerberg Biohub Network, San Francisco, California, USA.
  • Saxena A; Chan Zuckerberg Biohub Network, San Francisco, California, USA.
  • Mitchell A; Chan Zuckerberg Biohub Network, San Francisco, California, USA.
  • Kung AF; Department of Biochemistry and Biophysics.
  • Takahashi S; Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
  • Anglin K; Department of Epidemiology and Biostatistics.
  • Huang B; Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
  • Hoh R; Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
  • Lu S; Department of Epidemiology and Biostatistics.
  • Goldberg SA; Department of Epidemiology and Biostatistics.
  • Romero J; Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
  • Tran B; Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
  • Kirtikar R; Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
  • Grebe H; Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
  • So M; Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
  • Greenhouse B; Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
  • Durstenfeld MS; Division of Cardiology, Department of Medicine.
  • Hsue PY; Division of Cardiology, Department of Medicine.
  • Hellmuth J; Department of Neurology.
  • Kelly JD; Department of Epidemiology and Biostatistics.
  • Martin JN; Department of Epidemiology and Biostatistics.
  • Anderson MS; Diabetes Center.
  • Deeks SG; Department of Medicine; and.
  • Henrich TJ; Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
  • DeRisi JL; Division of Experimental Medicine, Department of Medicine, UCSF, San Francisco, California, USA.
  • Peluso MJ; Department of Biochemistry and Biophysics.
JCI Insight ; 8(11)2023 06 08.
Article em En | MEDLINE | ID: mdl-37288661
ABSTRACT
Some individuals do not return to baseline health following SARS-CoV-2 infection, leading to a condition known as long COVID. The underlying pathophysiology of long COVID remains unknown. Given that autoantibodies have been found to play a role in severity of SARS-CoV-2 infection and certain other post-COVID sequelae, their potential role in long COVID is important to investigate. Here, we apply a well-established, unbiased, proteome-wide autoantibody detection technology (T7 phage-display assay with immunoprecipitation and next-generation sequencing, PhIP-Seq) to a robustly phenotyped cohort of 121 individuals with long COVID, 64 individuals with prior COVID-19 who reported full recovery, and 57 pre-COVID controls. While a distinct autoreactive signature was detected that separated individuals with prior SARS-CoV-2 infection from those never exposed to SARS-CoV-2, we did not detect patterns of autoreactivity that separated individuals with long COVID from individuals fully recovered from COVID-19. These data suggest that there are robust alterations in autoreactive antibody profiles due to infection; however, no association of autoreactive antibodies and long COVID was apparent by this assay.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 / Síndrome de COVID-19 Pós-Aguda Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 / Síndrome de COVID-19 Pós-Aguda Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article