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 language | English |
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Article number | 100476 |
Journal | Cell Reports Medicine |
Volume | 2 |
Issue number | 12 |
DOIs | |
State | Published - 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