4.7 Article

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

Journal

GENOME MEDICINE
Volume 14, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s13073-022-01049-3

Keywords

Ageing; NK cell; Single-cell RNA-seq; Type-I interferon; COVID-19

Funding

  1. National Key Research and Development Program of China [2019YFA0801800]
  2. Natural Science Foundation of China [32070916, 31970858]
  3. Strategic Priority Research Program of the Chinese Academy of Sciences [XDB39020700]
  4. Fundamental Research Funds for the Central Universities [WK3520000010]

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We have identified a unique memory-like NK cell subset (NK2) that accumulates with aging and correlates with disease severity in COVID-19. These memory-like NK2.1 cells exhibit proinflammatory characteristics and a type I interferon response state. Targeting NK2.1 cells may hold potential for developing immunotherapies for infectious diseases and addressing age-related dysfunctions of the immune system.
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-alpha/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.

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