Identification of natural killer markers associated with fatal outcome in COVID-19 patients - l'unam - université nantes angers le mans
Journal Articles Frontiers in Cellular and Infection Microbiology Year : 2023

Identification of natural killer markers associated with fatal outcome in COVID-19 patients

Abstract

Introduction: Increasing evidence has shown that coronavirus disease 19 (COVID-19) severity is driven by a dysregulated immunological response. Previous studies have demonstrated that natural killer (NK) cell dysfunction underpins severe illness in COVID-19 patients, but have lacked an in-depth analysis of NK cell markers as a driver of death in the most critically ill patients. Methods: We enrolled 50 non-vaccinated hospitalized patients infected with the initial virus or the alpha variant of SARS-CoV-2 with moderate or severe illness, to evaluate phenotypic and functional features of NK cells. Results: Here, we show that, consistent with previous studies, evolution NK cells from COVID-19 patients are more activated, with the decreased activation of natural cytotoxicity receptors and impaired cytotoxicity and IFN-γ production, in association with disease regardless of the SARS-CoV-2 strain. Fatality was observed in 6 of 17 patients with severe disease; NK cells from all of these patients displayed a peculiar phenotype of an activated memory-like phenotype associated with massive TNF-α production. Discussion: These data suggest that fatal COVID-19 infection is driven by an uncoordinated inflammatory response in part mediated by a specific subset of activated NK cells.
Fichier principal
Vignette du fichier
main.pdf (2.83 Mo) Télécharger le fichier
Origin Publication funded by an institution

Dates and versions

hal-04146051 , version 1 (09-09-2024)

Identifiers

Cite

Nadine Tarantino, Elena Litvinova, Assia Samri, Cathia Soulié, Véronique Morin, et al.. Identification of natural killer markers associated with fatal outcome in COVID-19 patients. Frontiers in Cellular and Infection Microbiology, 2023, 13, pp.1165756. ⟨10.3389/fcimb.2023.1165756⟩. ⟨hal-04146051⟩
60 View
11 Download

Altmetric

Share

More