Identify and analyze ferroptosis-related molecular modules and immune signatures in epilepsy using microarray-based
Cong Huang1, Fan Wei1, Zhipeng You1
1Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province 150081, PR China.
Gene
|January 23, 2025
Summary
Epilepsy
Area of Science:
- Neuroscience
- Immunology
- Genetics
Background:
- The pathogenesis of epilepsy is not fully understood.
- Iron death's role in epilepsy is suggested but lacks molecular immunological detail.
- Understanding iron death mechanisms is crucial for epilepsy research.
Purpose of the Study:
- To explore molecular mechanisms and immunological characteristics of iron death-related genes in epilepsy.
- To identify key genes and develop a diagnostic model for epilepsy.
Main Methods:
- Utilized GEO database datasets and FerrDb for iron death genes.
- Applied machine learning algorithms to identify hub genes (RELA, TFRC, QSOX1).
- Performed unsupervised clustering, immune infiltration analysis, RT-qPCR, Western Blot, and single-cell analysis.
Main Results:
- Identified RELA, TFRC, and QSOX1 as key hub genes.
- Revealed two distinct patient clusters with differential immune infiltration.
- Developed and validated an epilepsy diagnostic model and nomogram.
- Observed overactivation of the SPP1 signaling pathway in astrocytes and microglia.
Conclusions:
- This study provides new insights into the molecular and immunological basis of iron death in epilepsy.
- Identified potential diagnostic biomarkers and therapeutic targets for epilepsy.
- Offers a theoretical foundation for epilepsy diagnosis and treatment.
