miRNome Profiling of Extracellular Vesicles in Patients With Severe COVID-19 and Identification of Predictors of Mortality

J Infect Dis. 2024 Oct 16;230(4):901-911. doi: 10.1093/infdis/jiae310.

Abstract

Background: Extracellular vesicles (EVs), containing microRNAs (miRNAs) and other molecules, play a central role in intercellular communication, especially in viral infections caused by SARS-CoV-2. This study explores the miRNA profiles in plasma-derived EVs from patients with severe COVID-19 vs controls, identifying potential mortality predictors.

Methods: This prospective study included 36 patients with severe COVID-19 and 33 controls without COVID-19. EV-derived miRNAs were sequenced, and bioinformatics and differential expression analysis between groups were performed. The plasma miRNA profile of an additional cohort of patients with severe COVID-19 (n = 32) and controls (n = 12) was used to compare with our data. Survival analysis identified potential mortality predictors among the significantly differentially expressed (SDE) miRNAs in EVs.

Results: Patients with severe COVID-19 showed 50 SDE miRNAs in plasma-derived EVs. These miRNAs were associated with pathways related to inflammation and cell adhesion. Fifteen of these plasma-derived EV miRNAs were SDE in the plasma of severe cases vs controls. Two miRNAs, hsa-miR-1469 and hsa-miR-6124, were identified as strong mortality predictors with an area under the receiver operating characteristic curve of 0.938.

Conclusions: This research provides insights into the role of miRNAs within EVs in severe COVID-19 and their potential as clinical biomarkers for mortality.

Keywords: COVID-19; critically ill patients; extracellular vesicles; microRNAs; mortality biomarkers.

MeSH terms

  • Adult
  • Aged
  • Biomarkers / blood
  • COVID-19* / blood
  • COVID-19* / mortality
  • Extracellular Vesicles* / genetics
  • Extracellular Vesicles* / metabolism
  • Female
  • Gene Expression Profiling
  • Humans
  • Male
  • MicroRNAs* / blood
  • MicroRNAs* / genetics
  • Middle Aged
  • Prospective Studies
  • SARS-CoV-2*

Substances

  • MicroRNAs
  • Biomarkers