Endothelial Extracellular Vesicles Enriched in microRNA-34a Predict New-Onset Diabetes in Coronavirus Disease 2019 (COVID-19) Patients: Novel Insights for Long COVID Metabolic Sequelae

Pasquale Mone, Stanislovas S. Jankauskas, Maria Virginia Manzi, Jessica Gambardella, Antonietta Coppola, Urna Kansakar, Raffaele Izzo, Giuseppe Fiorentino, Angela Lombardi, Fahimeh Varzideh, Daniela Sorriento, Bruno Trimarco, Gaetano Santulli

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Emerging evidence indicates that the relationship between coronavirus disease 2019 (COVID-19) and diabetes is 2-fold: 1) it is known that the presence of diabetes and other metabolic alterations poses a considerably high risk to develop a severe COVID-19; 2) patients who survived a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection have an increased risk of developing new-onset diabetes. However, the mechanisms underlying this association are mostly unknown, and there are no reliable biomarkers to predict the development of new-onset diabetes. In the present study, we demonstrate that a specific microRNA (miR-34a) contained in circulating extracellular vesicles released by endothelial cells reliably predicts the risk of developing new-onset diabetes in COVID-19. This association was independent of age, sex, body mass index (BMI), hypertension, dyslipidemia, smoking status, and D-dimer.

Original languageEnglish (US)
Pages (from-to)34-39
Number of pages6
JournalJournal of Pharmacology and Experimental Therapeutics
Volume389
Issue number1
DOIs
StatePublished - Apr 1 2024

ASJC Scopus subject areas

  • Molecular Medicine
  • Pharmacology

Fingerprint

Dive into the research topics of 'Endothelial Extracellular Vesicles Enriched in microRNA-34a Predict New-Onset Diabetes in Coronavirus Disease 2019 (COVID-19) Patients: Novel Insights for Long COVID Metabolic Sequelae'. Together they form a unique fingerprint.

Cite this