Related Experiment Video
Updated: Jul 27, 2026

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
Published on: October 26, 2017
PBMC MicroRNAs: Promising Biomarkers for the Differential Diagnosis of COVID-19 Patients with Abnormal Coagulation
Ammar Khalo Abass Kasho1,2,3, Javid Sadri Nahand1, Arash Salmaninejad4,5
1Infectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, 5166/15731, Iran.
Abstract:
MicroRNAs, or miRNAs, may involve in coagulation and inflammation pathways caused by severe Coronavirus disease (COVID-19). Accordingly, this attempt was made to explore the behavior of peripheral blood mononuclear cells (PBMCs) miRNAs as effective biomarkers to diagnose COVID-19 patients with normal and abnormal coagulation indices. We selected the targeted miRNAs (miR-19a-3p, miR-223-3p, miR-143-5p, miR-494-3p and miR-301a-5p) according to previous reports, whose PBMC levels were then determined by real-time PCR. Receiver operating characteristic (ROC) curve was obtained to clarify the diagnostic potency of studied miRNAs. The differentially expressed miRNA profiles and corresponding biological activities were predicted in accordance with bioinformatics data. Targeted miRNAs' expression profiles displayed a significant difference between COVID-19 subjects with normal and abnormal coagulation indices. Moreover, the average miR-223-3p level expressed in COVID-19 cases with normal coagulation indices was significantly lower than that in healthy controls. Based on data from ROC analysis, miR-223-3p and miR-494-3p are promising biomarkers to distinguish the COVID-19 cases with normal or abnormal coagulation indices. Bioinformatics data highlighted the prominent role of selected miRNAs in the inflammation and TGF-beta signaling pathway. The differences existed in the expression profiles of selected miRNAs between the groups introduced miR-494-3p and miR-223-3p as potent biomarkers to prognosis the incidence of COVID-19.

