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Transcriptional Changes in CD16+ Monocytes May Contribute to the Pathogenesis of COVID-19

Vanessa Chilunda1, Pablo Martinez-Aguado1, Li C Xia2

  • 1Department of Pathology, Albert Einstein College of Medicine, Bronx, NY, United States.

Frontiers in Immunology
|June 10, 2021
PubMed

Insights

Investigating CD16+ monocytes in COVID-19 reveals key immune cell changes. These cells show increased activation and migration, contributing to disease severity and dysregulated inflammatory responses in patients.

Area of Science:

  • Immunology
  • Virology
  • Genomics

Background:

  • The COVID-19 pandemic has led to millions of deaths globally.
  • Disease severity is linked to immune system dysregulation.
  • CD16+ monocytes play roles in inflammation and tissue repair during viral infections.

Purpose of the Study:

  • To characterize transcriptional changes in CD16+ monocytes from COVID-19 patients.
  • To compare these changes with those in healthy individuals.
  • To correlate monocyte transcriptomics with COVID-19 disease severity.

Main Methods:

  • Utilized publicly available single-cell RNA sequencing data.
  • Analyzed peripheral blood mononuclear cells (PBMC) from COVID-19 patients and healthy controls.
  • Compared gene expression profiles of CD16+ monocytes based on disease severity.

Main Results:

  • CD16+ monocytes from COVID-19 patients exhibited increased cell activation and a migratory phenotype compared to healthy individuals.
  • Mild COVID-19 cases showed upregulated interferon response and MHC class II genes.
  • Severe COVID-19 cases displayed dysregulated mitochondrial and antigen presentation genes, alongside increased inflammatory and apoptotic signatures.

Conclusions:

  • Transcriptomic changes in CD16+ monocytes suggest a role in COVID-19 pathogenesis.
  • These monocytes contribute to a dysregulated immune response with impaired antigen presentation and heightened inflammation.
  • Altered monocyte function may drive increased tissue infiltration and disease severity in COVID-19.

Keywords:
SARS-CoV-2cell movementinflammationnon-classical monocytessingle-cell transcriptomics

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