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Current Neuropharmacology

Editor-in-Chief

ISSN (Print): 1570-159X
ISSN (Online): 1875-6190

Research Article

Serum MicroRNAs as Predictors of Diagnosis and Drug-resistance in Temporal Lobe Epilepsy: A Preliminary Study

Author(s): Gloria Bertoli*, Francesco Fortunato, Claudia Cava, Ida Manna*, Francesca Gallivanone, Angelo Labate, Antonella Panio, Danilo Porro and Antonio Gambardella*

Volume 22, Issue 14, 2024

Published on: 25 June, 2024

Page: [2422 - 2432] Pages: 11

DOI: 10.2174/1570159X22666240516145823

Price: $65

Open Access Journals Promotions 2
Abstract

Objective: Temporal lobe epilepsy (TLE) is the most common form of refractory focal epilepsy, and the current clinical diagnosis is based on EEG, clinical neurological history and neuroimaging findings.

Methods: So far, there are no blood-based molecular biomarkers of TLE to support clinical diagnosis, despite the pathogenic mechanisms underlying TLE involving defects in the regulation of gene expression. MicroRNAs (miRNAs) have emerged as important post-transcriptional regulators of gene expression.

Results: Recent studies show the feasibility of detecting miRNAs in body fluids; circulating miRNAs have emerged as potential clinical biomarkers in epilepsy, although the TLE miRNA profile needs to be addressed. Here, we analysed the diagnostic potential of 8 circulating miRNAs in sera of 52 TLE patients and 40 age- and sex-matched donor controls by RT-qPCR analyses.

Conclusion: We found that miR-34a-5p, -106b-5p, -130a-3p, -146a-5p, and -19a-3p are differently expressed in TLE compared to control subjects, suggesting a diagnostic role. Furthermore, we found that miR-34a-5p, -106b-5p, -146a-5p and miR-451a could become prognostic biomarkers, being differentially expressed between drug-resistant and drug-responsive TLE subjects. Therefore, serum miRNAs are diagnostic and drug-resistance predictive molecules of TLE.

Keywords: Temporal lobe epilepsy, TLE, microRNAs, miRNAs, diagnosis, prediction of therapy response, prognosis, circulating biomarkers.

Graphical Abstract
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