Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment
By J. Schulte-Schrepping, N. Reusch, D. Paclik, K. Bassler, S. Schlickeiser, Bowen Zhang, B. Krämer, T. Krammer, Sophia Brumhard, L. Bonaguro and 122 more. Cell, 2020
615 citations recorded by the source corpus.
Coronavirus disease 2019 (COVID-19) is a mild to moderate respiratory tract infection, however, a subset of patients progress to severe disease and respiratory failure. The mechanism of protective immunity in mild forms and the pathogenesis of severe COVID-19 associated with increased neutrophil counts and dysregulated immune responses remain unclear. In a dual-center, two-cohort study, we combined single-cell RNA-sequencing and single-cell proteomics of whole-blood and peripheral-blood mononuclear cells to determine changes in immune cell composition and activation in mild versus severe COVID-19 (242 samples from 109 individuals) over time. HLA-DRhiCD11chi inflammatory monocytes with an interferon-stimulated gene signature were elevated in mild COVID-19. Severe COVID-19 was marked by occurrence of neutrophil precursors, as evidence of emergency myelopoiesis, dysfunctional mature neutrophils, and HLA-DRlo monocytes. Our study provides detailed insights into the systemic immune response to SARS-CoV-2 infection and reveals profound alterations in the myeloid cell compartment associated with severe COVID-19.
Subfields: Immunology, Infectious Diseases
View Paper: https://www.semanticscholar.org/paper/eb052eab15c8ce658f8b516e2babc6fd7eaf0a74
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In Immunology
- A. Aschenbrenner
- Mihai G. Netea
- A. Misharin
- Zemin Zhang
- Nir Yosef
- Stefan Schreiber
- Joachim L. Schultze
- Fabian J Theis
In Infectious Diseases
Citations in the corpus
- Swarm Learning for decentralized and confidential clinical machine learning (2021, background): “…addition to disease prediction might be beneficial in situations for which the pathogen is unknown, specific pathogen tests are not yet possible, existing tests might produce false negative results, and blood transcriptomics can contribute to the understanding of the host’s immune response 34–36 .”
- Mapping single-cell data to reference atlases by transfer learning (2021, background): “Large disease reference datasets are increasingly becoming available 60–62 .”
- COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas (2021, positive): “Multiple studies have suggested the alterations of immune responses as one of the key mechanisms for severe symptoms (Guo et al., 2020; Schulte-Schrepping et al., 2020; Silvin et al., 2020; Wen et al., 2020; Zhang et al., 2020a, 2020b).”