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Emergence of dysfunctional neutrophils with a defect in arginase-1 release in severe COVID-19.
- Source :
-
JCI insight [JCI Insight] 2024 Sep 10; Vol. 9 (17). Date of Electronic Publication: 2024 Sep 10. - Publication Year :
- 2024
-
Abstract
- Neutrophilia occurs in patients infected with SARS-CoV-2 (COVID-19) and is predictive of poor outcomes. Here, we link heterogenous neutrophil populations to disease severity in COVID-19. We identified neutrophils with features of cellular aging and immunosuppressive capacity in mild COVID-19 and features of neutrophil immaturity and activation in severe disease. The low-density neutrophil (LDN) number in circulating blood correlated with COVID-19 severity. Many of the divergent neutrophil phenotypes in COVID-19 were overrepresented in the LDN fraction and were less detectable in normal-density neutrophils. Functionally, neutrophils from patients with severe COVID-19 displayed defects in neutrophil extracellular trap formation and reactive oxygen species production. Soluble factors secreted by neutrophils from these patients inhibited T cell proliferation. Neutrophils from patients with severe COVID-19 had increased expression of arginase-1 protein, a feature that was retained in convalescent patients. Despite this increase in intracellular expression, there was a reduction in arginase-1 release by neutrophils into serum and culture supernatants. Furthermore, neutrophil-mediated T cell suppression was independent of arginase-1. Our results indicate the presence of dysfunctional, activated, and immature neutrophils in severe COVID-19.
- Subjects :
- Humans
Male
Middle Aged
Female
T-Lymphocytes immunology
T-Lymphocytes metabolism
Aged
Adult
Extracellular Traps metabolism
Extracellular Traps immunology
Reactive Oxygen Species metabolism
Neutrophil Activation
COVID-19 immunology
COVID-19 blood
Arginase metabolism
Neutrophils metabolism
Neutrophils immunology
SARS-CoV-2 immunology
Severity of Illness Index
Subjects
Details
- Language :
- English
- ISSN :
- 2379-3708
- Volume :
- 9
- Issue :
- 17
- Database :
- MEDLINE
- Journal :
- JCI insight
- Publication Type :
- Academic Journal
- Accession number :
- 39253969
- Full Text :
- https://doi.org/10.1172/jci.insight.171659