MicroRNA hsa-miR-134 is a circulating biomarker for mesial temporal lobe epilepsy

Simoni H Avansini1, Beatriz Pereira de Sousa Lima1, Rodrigo Secolin1

  • 1Department of Medical Genetics, University of Campinas - UNICAMP, and the Brazilian Institute of Neuroscience and Neurotechnology (BRAINN), Campinas, São Paulo, Brazil.

Plos One
|April 7, 2017
PubMed

Insights

Decreased hsa-miR-134 levels in plasma may serve as a novel biomarker for diagnosing mesial temporal lobe epilepsy (MTLE). This finding aids in overcoming epilepsy misdiagnosis challenges.

Area of Science:

  • Neuroscience
  • Biomarker Discovery
  • Molecular Diagnostics

Background:

  • Epilepsy misdiagnosis affects up to 25% of patients, leading to significant adverse outcomes.
  • Circulating microRNAs show promise as diagnostic biomarkers in various diseases.
  • Accurate epilepsy diagnosis is crucial for effective treatment and patient management.

Purpose of the Study:

  • To identify and validate circulating microRNAs as potential diagnostic biomarkers for epilepsy.
  • To investigate the role of hsa-miR-134 in distinguishing mesial temporal lobe epilepsy (MTLE) from controls and other epilepsy types.

Main Methods:

  • Quantitative real-time PCR was employed to measure plasma microRNA levels.
  • A two-phase study design included discovery and validation cohorts.
  • Candidate microRNAs were analyzed in patients with MTLE, focal cortical dysplasia (FCD), and healthy controls.

Main Results:

  • Hsa-miR-134 was significantly downregulated in MTLE patients compared to controls (p = 0.018 in discovery, p < 0.001 in validation).
  • Hsa-miR-134 demonstrated potential in discriminating MTLE patients (AUC = 0.75).
  • Downregulated hsa-miR-134 was observed irrespective of pharmacotherapy response or MRI findings.

Conclusions:

  • Decreased plasma hsa-miR-134 levels represent a potential non-invasive biomarker for supporting MTLE diagnosis.
  • Hsa-miR-134 may help improve diagnostic accuracy and reduce misdiagnosis rates in epilepsy.
  • This microRNA biomarker holds promise for clinical application in epilepsy diagnostics.