Identifying disulfidptosis-related biomarkers in epilepsy based on integrated bioinformatics and experimental

Sijun Li1, Lanfeng Sun1, Hongmi Huang1

  • 1Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, Guangxi, China.

Neurobiology of Disease
|January 13, 2025
PubMed

Insights

This study identifies nine key molecules involved in disulfidptosis, a cell death process linked to epilepsy. Findings reveal specific molecular changes and a machine learning model for predicting epilepsy, highlighting SLC7A11 as a potential biomarker.

Area of Science:

  • Neuroscience
  • Cell Biology
  • Genetics

Background:

  • Epilepsy (EP) is a brain disorder characterized by recurrent seizures, with cell death implicated in its pathogenesis.
  • Disulfidptosis is a novel cell death mechanism potentially involved in epilepsy, but its precise role remains unclear.
  • Identifying molecular mechanisms underlying epilepsy is crucial for developing targeted therapies.

Purpose of the Study:

  • To investigate the role of disulfidptosis-related molecules (DRMs) in the pathogenesis of epilepsy.
  • To identify differentially expressed DRMs (DE-DRMs) in epilepsy using gene expression datasets.
  • To develop a predictive model for epilepsy based on DE-DRM expression.

Main Methods:

  • Analysis of Gene Expression Omnibus (GEO) datasets (GSE33000, GSE63808, GSE143272) to identify DE-DRMs.
  • Correlation analysis and molecular clustering based on DE-DRM expression in epilepsy patients.
  • Machine learning model development (Random Forest) and validation using independent datasets.
  • Experimental verification of DE-DRM expression and interactions in in vitro and in vivo seizure models.

Main Results:

  • Nine DE-DRMs were identified: GYS1, SLC3A2, SLC7A11, NDUFS1, OXSM, LRPPRC, NDUFA11, NUBPL, and NCKAP1.
  • Specific interactions were found between NDUFS1-NDUFA11-NUBPL-LRPPRC and SLC3A2-SLC7A11.
  • The Random Forest model demonstrated optimal predictive performance for epilepsy.
  • GNAQ was associated with sodium valproate resistance.
  • Experimental validation confirmed upregulated SLC7A11, increased SLC3A2-SLC7A11 complexes, and decreased NDUFS1-NDUFA11 complexes.

Conclusions:

  • This study provides novel evidence linking disulfidptosis to epilepsy pathogenesis.
  • SLC7A11 is proposed as a specific DRM for epilepsy.
  • Alterations in the SLC7A11-SLC3A2 and NDUFS1-NDUFA11 protein complexes are associated with epilepsy.