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Related Experiment Video

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Lipidomics and Transcriptomics in Neurological Diseases
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Lipidomics and Transcriptomics in Neurological Diseases

Published on: March 18, 2022

Transcriptomic Profiling of Medial Temporal Lobe Epilepsy.

Abhilash K Venugopal1, Ghantasala S Sameer Kumar, Anita Mahadevan

  • 1Institute of Bioinformatics, International Technology Park, Bangalore, India ; Department of Biotechnology, Kuvempu University, Shimoga, India ; McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA ; Departments of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Journal of Proteomics & Bioinformatics
|March 14, 2013
PubMed
Summary

Researchers identified novel gene expression differences in intractable epilepsy, searching for biomarkers to predict treatment response in patients with medial temporal lobe epilepsy (MTLE). This could lead to better diagnostic and prognostic tools.

Keywords:
DNA microarraysGABA receptorGeneSpringMedial temporal sclerosisTemporal lobe epilepsyTranscriptome profile

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Area of Science:

  • Neuroscience
  • Genetics
  • Molecular Biology

Background:

  • Epilepsy affects ~1% of the population, with Medial Temporal Lobe Epilepsy (MTLE) being common in adults unresponsive to medication.
  • The underlying reasons for treatment resistance (intractability) in MTLE are not well understood.
  • Predictive biomarkers for pharmacotherapy response in MTLE are currently lacking.

Purpose of the Study:

  • To identify potential biomarkers for epileptogenicity in intractable MTLE.
  • To compare mRNA expression profiles between seizure and non-seizure zones in surgically resected MTLE tissue.
  • To discover novel genes and pathways associated with drug-resistant epilepsy.

Main Methods:

  • Comparative analysis of mRNA profiles from seizure and non-seizure brain tissues in patients with intractable MTLE.
  • Identification of differentially expressed genes using a ≥2-fold change and statistical significance threshold.
  • Validation of selected gene expression changes using immunohistochemical labeling.

Main Results:

  • Identified 413 genes with significant differential expression (≥2-fold change) between seizure and non-seizure zones.
  • Discovered novel genes implicated in MTLE, including CLDN11 and BMPR1B.
  • Observed downregulation of gamma-aminobutyric acid (GABA) associated genes and identified known epilepsy-associated genes (BACH2, ADAMTS15).
  • Validated STK31 (upregulated) and SMARCA4 (downregulated) expression via immunohistochemistry.

Conclusions:

  • Gene expression profiling reveals significant molecular differences in the seizure zones of intractable MTLE.
  • Several novel genes (e.g., CLDN11, BMPR1B) and pathways warrant further investigation as potential biomarkers.
  • Validated molecules like STK31 and SMARCA4 require larger studies for diagnostic and prognostic potential in intractable MTLE.