High CD169 Monocyte/Lymphocyte Ratio Reflects Immunophenotype Disruption and Oxygen Need in COVID-19 Patients

Antonella Minutolo1, Vita Petrone1, Marialaura Fanelli1

  • 1Department of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.

Insights

Sialoadhesin (CD169) is elevated in COVID-19 patients, correlating with immune dysfunction and predicting respiratory outcomes. SARS-CoV-2 spike protein specifically induces CD169, highlighting its role as an early disease biomarker.

Area of Science:

  • Immunology
  • Virology
  • Biomarker Discovery

Background:

  • Sialoadhesin (CD169) is overexpressed in COVID-19 patients' blood, serving as an early disease biomarker.
  • This study investigates CD169's role in predicting COVID-19 progression and clinical outcomes.

Purpose of the Study:

  • To analyze CD169 expression in COVID-19 blood cells.
  • To assess CD169 as a predictive marker for disease progression and clinical outcomes.

Main Methods:

  • Flow cytometry analyzed the CD169 median fluorescence intensity ratio between monocytes and lymphocytes (CD169 RMFI) in COVID-19 patients (COV) and healthy donors (HDs).
  • Correlations were assessed with immunophenotyping, inflammatory markers, cytokine mRNA, pulmonary involvement, and disease progression.
  • In vitro studies examined SARS-CoV-2 spike protein's effect on CD169 RMFI and cytokine gene transcription in peripheral blood mononuclear cells (PBMCs).

Main Results:

  • CD169 RMFI was significantly higher in COV compared to HDs.
  • Elevated CD169 RMFI correlated with CD8 T-cell senescence/exhaustion markers, B-cell maturation/differentiation, inflammatory markers, and pneumonia severity in untreated patients.
  • CD169 RMFI was associated with respiratory outcomes during hospitalization.
  • SARS-CoV-2 spike protein dose-dependently induced CD169 RMFI and IL-6/IL-10 gene transcription in vitro.

Conclusions:

  • CD169 is induced by the SARS-CoV-2 spike protein.
  • CD169 serves as an early biomarker for assessing immune dysfunction and predicting respiratory outcomes in COVID-19 patients.
Abstract