A Granulocytic Signature Identifies COVID-19 and Its Severity
Abstract Background An unbiased approach to SARS-CoV-2–induced immune dysregulation has not been undertaken so far. We aimed to identify previously unreported immune markers able to discriminate COVID-19 patients from healthy controls and to predict mild and severe disease. Methods An observational,...
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Veröffentlicht in: | The Journal of infectious diseases 2020-12, Vol.222 (12), p.1985-1996 |
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Sprache: | eng |
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Zusammenfassung: | Abstract
Background
An unbiased approach to SARS-CoV-2–induced immune dysregulation has not been undertaken so far. We aimed to identify previously unreported immune markers able to discriminate COVID-19 patients from healthy controls and to predict mild and severe disease.
Methods
An observational, prospective, multicentric study was conducted in patients with confirmed mild/moderate (n = 7) and severe (n = 19) COVID-19. Immunophenotyping of whole-blood leukocytes was performed in patients upon hospital ward or intensive care unit admission and in healthy controls (n = 25). Clinically relevant associations were identified through unsupervised analysis.
Results
Granulocytic (neutrophil, eosinophil, and basophil) markers were enriched during COVID-19 and discriminated between patients with mild and severe disease. Increased counts of CD15+CD16+ neutrophils, decreased granulocytic expression of integrin CD11b, and Th2-related CRTH2 downregulation in eosinophils and basophils established a COVID-19 signature. Severity was associated with emergence of PD-L1 checkpoint expression in basophils and eosinophils. This granulocytic signature was accompanied by monocyte and lymphocyte immunoparalysis. Correlation with validated clinical scores supported pathophysiological relevance.
Conclusions
Phenotypic markers of circulating granulocytes are strong discriminators between infected and uninfected individuals as well as between severity stages. COVID-19 alters the frequency and functional phenotypes of granulocyte subsets with emergence of CRTH2 as a disease biomarker.
Unsupervised mapping of leukocyte surface markers identified a granulocytic COVID-19 signature comprising eosinophil and basophil CRTH2 downregulation, increased counts of CD15+CD16+ neutrophils, and decreased granulocytic CD11b expression, while PD-L1 checkpoint expression in basophils and eosinophils was associated with severity. |
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ISSN: | 0022-1899 1537-6613 |
DOI: | 10.1093/infdis/jiaa591 |