Single-cell transcriptomics reveal a unique memory-like NK cell subset that accumulates with ageing and correlates with disease severity in COVID-19

Background: Natural killer (NK) cells are innate lymphoid cells that mediate antitumour and antiviral responses. However, very little is known about how ageing influences human NK cells, especially at the single-cell level. Methods: We applied single-cell sequencing (scRNA-seq) to human lymphocytes...

Full description

Bibliographic Details
Main Authors: Fang, J. (Author), Fu, B. (Author), Guo, C. (Author), Huang, B. (Author), Jin, L. (Author), Ni, F. (Author), Qu, K. (Author), Wang, D. (Author), Wang, P. (Author), Wei, H. (Author), Wu, M. (Author), Zhao, R. (Author), Zheng, M. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2022
Subjects:
Online Access:View Fulltext in Publisher
LEADER 03098nam a2200337Ia 4500
001 10.1186-s13073-022-01049-3
008 220706s2022 CNT 000 0 und d
020 |a 1756994X (ISSN) 
245 1 0 |a Single-cell transcriptomics reveal a unique memory-like NK cell subset that accumulates with ageing and correlates with disease severity in COVID-19 
260 0 |b BioMed Central Ltd  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1186/s13073-022-01049-3 
520 3 |a Background: Natural killer (NK) cells are innate lymphoid cells that mediate antitumour and antiviral responses. However, very little is known about how ageing influences human NK cells, especially at the single-cell level. Methods: We applied single-cell sequencing (scRNA-seq) to human lymphocytes and NK cells from 4 young and 4 elderly individuals and then analysed the transcriptome data using Seurat. We detected the proportion and phenotype of NK cell subsets in peripheral blood samples from a total of 62 young and 52 elderly healthy donors by flow cytometry. We also used flow cytometry to examine the effector functions of NK cell subsets upon IFN-α/IL-12+IL-15/K562/IL-2 stimulation in vitro in peripheral blood samples from a total of 64 young and 63 elderly healthy donors. We finally studied and integrated single-cell transcriptomes of NK cells from 15 young and 41 elderly COVID-19 patients with those from 12 young and 6 elderly healthy control individuals to investigate the impacts of ageing on NK cell subsets in COVID-19 disease. Results: We discovered a memory-like NK subpopulation (NK2) exhibiting the largest distribution change between elderly and young individuals among lymphocytes. Notably, we discovered a unique NK subset that was predominantly CD52+ NK2 cells (NK2.1). These memory-like NK2.1 cells accumulated with age, exhibited proinflammatory characteristics, and displayed a type I interferon response state. Integrative analyses of a large-cohort COVID-19 dataset and our datasets revealed that NK2.1 cells from elderly COVID-19 patients are enriched for type I interferon signalling, which is positively correlated with disease severity in COVID-19. Conclusions: We identified a unique memory-like NK cell subset that accumulates with ageing and correlates with disease severity in COVID-19. Our results identify memory-like NK2.1 cells as a potential target for developing immunotherapies for infectious diseases and for addressing age-related dysfunctions of the immune system. © 2022, The Author(s). 
650 0 4 |a Ageing 
650 0 4 |a COVID-19 
650 0 4 |a NK cell 
650 0 4 |a Single-cell RNA-seq 
650 0 4 |a Type-I interferon 
700 1 0 |a Fang, J.  |e author 
700 1 0 |a Fu, B.  |e author 
700 1 0 |a Guo, C.  |e author 
700 1 0 |a Huang, B.  |e author 
700 1 0 |a Jin, L.  |e author 
700 1 0 |a Ni, F.  |e author 
700 1 0 |a Qu, K.  |e author 
700 1 0 |a Wang, D.  |e author 
700 1 0 |a Wang, P.  |e author 
700 1 0 |a Wei, H.  |e author 
700 1 0 |a Wu, M.  |e author 
700 1 0 |a Zhao, R.  |e author 
700 1 0 |a Zheng, M.  |e author 
773 |t Genome Medicine