High concordance between hippocampal transcriptome of the mouse intra-amygdala kainic acid model and human temporal

Giorgia Conte1, Alberto Parras1,2,3,4, Mariana Alves1

  • 1Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, University of Medicine and Health Sciences, Dublin, Ireland.

Epilepsia
|October 18, 2020
PubMed
Abstract

Insights

This study validates the intra-amygdala kainic acid mouse model for epilepsy research, showing it mirrors molecular changes in human drug-resistant temporal lobe epilepsy (TLE). Findings offer new targets for disease-modifying epilepsy treatments.

Area of Science:

  • Neuroscience
  • Molecular Biology
  • Genetics

Background:

  • Epilepsy treatment faces challenges due to drug resistance and lack of disease-modifying therapies.
  • Current experimental epilepsy models are crucial for discovering new antiepileptogenic drugs but their human relevance is debated.

Purpose of the Study:

  • To compare the molecular profile of the intra-amygdala kainic acid-induced status epilepticus mouse model with human drug-resistant temporal lobe epilepsy (TLE).
  • To assess the validity of this mouse model in replicating key molecular features of human epilepsy.

Main Methods:

  • Status epilepticus was induced in mice using intra-amygdala kainic acid.
  • Gene expression was analyzed using microarrays in hippocampal tissue at acute and chronic stages.
  • Results were compared with other epilepsy models and human TLE brain tissue.

Main Results:

  • Intra-amygdala kainic acid induced significant gene expression dysregulation in mice, with more genes affected acutely than chronically.
  • A high correlation in gene dysregulation was observed between the mouse model and human TLE samples, especially in established epilepsy.
  • Suppression of calcium signaling was a conserved pathway, and CREB was identified as a key upstream regulator, with its inhibition reducing seizure severity.

Conclusions:

  • The intra-amygdala kainic acid mouse model accurately reflects molecular aspects of human drug-resistant TLE.
  • This model offers a valuable platform for identifying disease-modifying therapeutic targets in epilepsy.
  • Understanding the shared and unique gene expression landscapes can guide the development of novel epilepsy treatments.

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