Dynamic Evaluation of Natural Killer Cells Subpopulations in COVID-19 Patients

Int J Mol Sci. 2022 Oct 6;23(19):11875. doi: 10.3390/ijms231911875.

Abstract

The aim of the study was to evaluate the dynamic changes of the total Natural Killer (NK) cells and different NK subpopulations according to their differentiated expression of CD16/CD56 in COVID-19 patients. Blood samples with EDTA were analyzed on day 1 (admission moment), day 5, and day 10 for the NK subtypes. At least 30,000 singlets were collected for each sample and white blood cells were gated in CD45/SSC and CD16/CD56 dot plots of fresh human blood. From the lymphocyte singlets, the NK cells subpopulations were analyzed based on the differentiated expression of surface markers and classified as follows: CD16-CD56+/++/CD16+CD56++/CD16+CD56+/CD16++CD56-. By examining the CD56 versus CD16 flow cytometry dot plots, we found four distinct NK sub-populations. These NK subtypes correspond to different NK phenotypes from secretory to cytolytic ones. There was no difference between total NK percentage of different disease forms. However, the total numbers decreased significantly both in survivors and non-survivors. Additionally, for the CD16-CD56+/++ phenotype, we observed different patterns, gradually decreasing in survivors and gradually increasing in those with fatal outcomes. Despite no difference in the proportion of the CD16-CD56++ NK cells in survivors vs. non-survivors, the main cytokine producers gradually decline during the study period in the survival group, underling the importance of adequate IFN production during the early stage of SARS-CoV-2 infection. Persistency in the circulation of CD56++ NK cells may have prognostic value in patients, with a fatal outcome. Total NK cells and the CD16+CD56+ NK subtypes exhibit significant decreasing trends across the moments for both survivors and non-survivors.

Keywords: COVID-19; PD-1; SARS-CoV-2; natural killer cells.

MeSH terms

  • CD56 Antigen / metabolism
  • COVID-19* / immunology
  • Cytokines / metabolism
  • Humans
  • Killer Cells, Natural* / classification
  • Receptors, IgG / metabolism
  • SARS-CoV-2

Substances

  • CD56 Antigen
  • Cytokines
  • Receptors, IgG