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Longitudinal immunological analyses reveal inflammatory misfiring in severe COVID-19 patients
Carolina Lucas; Patrick Wong; Jon Klein; Tiago Castro; Julio Silva; Maria Sundaram; Mallory Ellingson; Tianyang Mao; Jieun Oh; Benjamin Israelow; Maria Tokuyama; Peiwen Lu; Arvind Venkataraman; Annsea Park; Subhasis Mohanty; Haowei Wang; Anne Louise Wyllie; Chantal B.F. Vogels; Rebecca Earnest; Sarah Lapidus; Isabel Ott; Adam Moore; Catherine Muenker; John Fournier; Melissa Campbell; Camila Odio; Arnau Casanovas-Massana; - Yale IMPACT Team; Roy Herbst; Albert Shaw; Ruslan Medzhitov; Wade L Schulz; Nathan Grubaugh; Charles Dela Cruz; Shelli Farhadian; Albert Ko; Saad Omer; Akiko Iwasaki.
Afiliação
  • Carolina Lucas; Yale University
  • Patrick Wong; Yale University
  • Jon Klein; Yale University
  • Tiago Castro; Rockefeller University
  • Julio Silva; Yale University
  • Maria Sundaram; Emory University
  • Mallory Ellingson; Yale University
  • Tianyang Mao; Yale University
  • Jieun Oh; Yale University
  • Benjamin Israelow; Yale University
  • Maria Tokuyama; Yale University
  • Peiwen Lu; Yale University
  • Arvind Venkataraman; Yale University
  • Annsea Park; Yale University
  • Subhasis Mohanty; Yale University
  • Haowei Wang; Yale University
  • Anne Louise Wyllie; Yale School of Public Health
  • Chantal B.F. Vogels; Yale School of Public Health
  • Rebecca Earnest; Yale University
  • Sarah Lapidus; Yale University
  • Isabel Ott; Yale University
  • Adam Moore; Yale University
  • Catherine Muenker; Yale University
  • John Fournier; Yale University
  • Melissa Campbell; Yale University
  • Camila Odio; Yale University
  • Arnau Casanovas-Massana; Yale University
  • - Yale IMPACT Team;
  • Roy Herbst; Yale University
  • Albert Shaw; Yale University
  • Ruslan Medzhitov; Yale University
  • Wade L Schulz; Yale School of Medicine
  • Nathan Grubaugh; Yale University
  • Charles Dela Cruz; Yale University
  • Shelli Farhadian; Yale School of Medicine
  • Albert Ko; Yale University School of Public Health
  • Saad Omer; Yale University
  • Akiko Iwasaki; Yale University School of Medicine
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20138289
ABSTRACT
Recent studies have provided insights into the pathogenesis of coronavirus disease 2019 (COVID-19)1-4. Yet, longitudinal immunological correlates of disease outcome remain unclear. Here, we serially analysed immune responses in 113 COVID-19 patients with moderate (non-ICU) and severe (ICU) disease. Immune profiling revealed an overall increase in innate cell lineages with a concomitant reduction in T cell number. We identify an association between early, elevated cytokines and worse disease outcomes. Following an early increase in cytokines, COVID-19 patients with moderate disease displayed a progressive reduction in type-1 (antiviral) and type-3 (antifungal) responses. In contrast, patients with severe disease maintained these elevated responses throughout the course of disease. Moreover, severe disease was accompanied by an increase in multiple type 2 (anti-helminths) effectors including, IL-5, IL-13, IgE and eosinophils. Unsupervised clustering analysis of plasma and peripheral blood leukocyte data identified 4 immune signatures, representing (A) growth factors, (B) type-2/3 cytokines, (C) mixed type-1/2/3 cytokines, and (D) chemokines that correlated with three distinct disease trajectories of patients. The immune profile of patients who recovered with moderate disease was enriched in tissue reparative growth factor signature (A), while the profile for those with worsened disease trajectory had elevated levels of all four signatures. Thus, we identified development of a maladapted immune response profile associated with severe COVID-19 outcome and early immune signatures that correlate with divergent disease trajectories.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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