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Diverse functional autoantibodies in patients with COVID-19.
Wang, Eric Y; Mao, Tianyang; Klein, Jon; Dai, Yile; Huck, John D; Jaycox, Jillian R; Liu, Feimei; Zhou, Ting; Israelow, Benjamin; Wong, Patrick; Coppi, Andreas; Lucas, Carolina; Silva, Julio; Oh, Ji Eun; Song, Eric; Perotti, Emily S; Zheng, Neil S; Fischer, Suzanne; Campbell, Melissa; Fournier, John B; Wyllie, Anne L; Vogels, Chantal B F; Ott, Isabel M; Kalinich, Chaney C; Petrone, Mary E; Watkins, Anne E; Dela Cruz, Charles; Farhadian, Shelli F; Schulz, Wade L; Ma, Shuangge; Grubaugh, Nathan D; Ko, Albert I; Iwasaki, Akiko; Ring, Aaron M.
  • Wang EY; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
  • Mao T; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
  • Klein J; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
  • Dai Y; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
  • Huck JD; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
  • Jaycox JR; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
  • Liu F; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
  • Zhou T; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
  • Israelow B; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
  • Wong P; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
  • Coppi A; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, USA.
  • Lucas C; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
  • Silva J; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
  • Oh JE; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
  • Song E; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
  • Perotti ES; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
  • Zheng NS; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
  • Fischer S; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
  • Campbell M; Department of Internal Medicine (Infectious Diseases), Yale School of Medicine, New Haven, CT, USA.
  • Fournier JB; Department of Internal Medicine (Infectious Diseases), Yale School of Medicine, New Haven, CT, USA.
  • Wyllie AL; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Vogels CBF; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Ott IM; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Kalinich CC; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Petrone ME; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Watkins AE; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Dela Cruz C; Department of Medicine, Section of Pulmonary and Critical Care Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Farhadian SF; Department of Internal Medicine (Infectious Diseases), Yale School of Medicine, New Haven, CT, USA.
  • Schulz WL; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, USA.
  • Ma S; Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Grubaugh ND; Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
  • Ko AI; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Iwasaki A; Department of Internal Medicine (Infectious Diseases), Yale School of Medicine, New Haven, CT, USA.
  • Ring AM; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Nature ; 595(7866): 283-288, 2021 07.
Article in English | MEDLINE | ID: covidwho-1233713
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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ABSTRACT
COVID-19 manifests with a wide spectrum of clinical phenotypes that are characterized by exaggerated and misdirected host immune responses1-6. Although pathological innate immune activation is well-documented in severe disease1, the effect of autoantibodies on disease progression is less well-defined. Here we use a high-throughput autoantibody discovery technique known as rapid extracellular antigen profiling7 to screen a cohort of 194 individuals infected with SARS-CoV-2, comprising 172 patients with COVID-19 and 22 healthcare workers with mild disease or asymptomatic infection, for autoantibodies against 2,770 extracellular and secreted proteins (members of the exoproteome). We found that patients with COVID-19 exhibit marked increases in autoantibody reactivities as compared to uninfected individuals, and show a high prevalence of autoantibodies against immunomodulatory proteins (including cytokines, chemokines, complement components and cell-surface proteins). We established that these autoantibodies perturb immune function and impair virological control by inhibiting immunoreceptor signalling and by altering peripheral immune cell composition, and found that mouse surrogates of these autoantibodies increase disease severity in a mouse model of SARS-CoV-2 infection. Our analysis of autoantibodies against tissue-associated antigens revealed associations with specific clinical characteristics. Our findings suggest a pathological role for exoproteome-directed autoantibodies in COVID-19, with diverse effects on immune functionality and associations with clinical outcomes.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Autoantibodies / Proteome / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Animals / Female / Humans / Male Language: English Journal: Nature Year: 2021 Document Type: Article Affiliation country: S41586-021-03631-y

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Autoantibodies / Proteome / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Animals / Female / Humans / Male Language: English Journal: Nature Year: 2021 Document Type: Article Affiliation country: S41586-021-03631-y