Nasopharyngeal neutrophilic-retention signatures could predict disease progression in early SARS-CoV-2 infection.
Furong QiYingyin CaoYunyun ShenHaiyan WangDapeng LiQianting YangZhiyan LiZheng ZhangPublished in: Journal of medical virology (2023)
The nasopharynx is the initial site of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, and neutrophils play a critical role in preventing viral transmission into the lower airways or lungs during the early phases of infection. However, neutrophil dynamics, functional signatures, and predictive roles in the nasopharynx of coronavirus disease 2019 (COVID-19) patients have not yet been elucidated. In this study, we carried out RNA sequencing of nasopharyngeal swabs from a cohort of COVID-19 patients with mild, moderate, severe outcomes and healthy donors as controls. Over 32.7% of the differentially expressed genes associated with COVID-19 severity were neutrophil-related, including those involved in migration, neutrophil extracellular traps formation, and inflammasome activation. Multicohort single-cell RNA sequencing analysis further confirmed these findings and identified a population of neutrophils expressing Vacuolar-type ATPase (V-ATPase) and the chemokine receptor CXCR4 in the nasopharynx. This population of neutrophils preferentially expressed pro-inflammatory genes relevant to phagosomal maturation as well as local reactive oxygen species and reactive nitrogen species production in the nasopharynx of patients with severe outcomes. A four-gene panel defined as a neutrophil signature associated with COVID-19 progression (NSAP) was identified as an early diagnostic predictor of severe COVID-19, which potentially distinguished severe patients from mild cases with influenza, respiratory syncytial virus, dengue virus, or hepatitis B virus infection. NSAP is mainly expressed on CXCR4 high neutrophils and exhibits a significant association with the cell fraction of this neutrophil population. This study highlights novel potential therapeutic targets or diagnostic tools for predicting patients at a higher risk of severe outcomes.
Keyphrases
- coronavirus disease
- respiratory syndrome coronavirus
- sars cov
- single cell
- early onset
- genome wide
- dengue virus
- rna seq
- reactive oxygen species
- respiratory syncytial virus
- newly diagnosed
- dna methylation
- end stage renal disease
- cystic fibrosis
- ejection fraction
- risk assessment
- bone marrow
- peritoneal dialysis
- transcription factor
- climate change
- cell therapy
- cell migration