People critically ill with COVID-19 exhibit peripheral immune profiles predictive of mortality and reflective of SARS-CoV-2 lung viral burden

Anthony R. Cillo, Ashwin Somasundaram, Feng Shan, Carly Cardello, Creg J. Workman, Georgios D. Kitsios, Ayana T. Ruffin, Sheryl Kunning, Caleb Lampenfeld, Sayali Onkar, Stephanie Grebinoski, Gaurav Deshmukh, Barbara Methe, Chang Liu, Sham Nambulli, Lawrence P. Andrews, W. Paul Duprex, Alok V. Joglekar, Panayiotis V. Benos, Prabir RayAnuradha Ray, Bryan J. McVerry, Yingze Zhang, Janet S. Lee, Jishnu Das, Harinder Singh, Alison Morris, Tullia C. Bruno, Dario A.A. Vignali

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Despite extensive analyses, there remains an urgent need to delineate immune cell states that contribute to mortality in people critically ill with COVID-19. Here, we present high-dimensional profiling of blood and respiratory samples from people with severe COVID-19 to examine the association between cell-linked molecular features and mortality outcomes. Peripheral transcriptional profiles by single-cell RNA sequencing (RNA-seq)-based deconvolution of immune states are associated with COVID-19 mortality. Further, persistently high levels of an interferon signaling module in monocytes over time lead to subsequent concerted upregulation of inflammatory cytokines. SARS-CoV-2-infected myeloid cells in the lower respiratory tract upregulate CXCL10, leading to a higher risk of death. Our analysis suggests a pivotal role for viral-infected myeloid cells and protracted interferon signaling in severe COVID-19.

Original languageEnglish
Article number100476
JournalCell Reports Medicine
Volume2
Issue number12
DOIs
StatePublished - Dec 21 2021

Keywords

  • COVID-19
  • COVID-19 outcome
  • gene modules
  • inflammatory cytokines
  • inflammatory monocytes
  • machine learning
  • severe COVID-19
  • single-cell RNA-seq
  • type I interferon

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