ArticleScientific reports2025
Identification and validation of diagnostic biomarkers for temporal lobe epilepsy related to ferroptosis and potential therapeutic targets.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Bioinformatics Analysis of Ferroptosis-Related Driver Genes in Stanford Type A Aortic Dissection.Current issues in molecular biology · 2026Article
- Analysis of Serum VCAN-AS1 Expression Level in Patients with Cerebral Infarction Secondary Epilepsy and Its Mechanism by Regulating miR-885-3p/NTNG1.Neurochemical research · 2026Article
- Macrophage Polarization-Related Biomarkers in Epilepsy: Integrated Bioinformatics Analysis and Clinical Validation.Journal of inflammation research · 2026Article
- SAT1 Knockdown Decreases Glutamate-Induced Oxidative Stress, Ferroptosis, and Apoptosis in HT22 Cells via Activating the Nrf2/ARE Pathway.Neuromolecular medicine · 2025Article
- The miR-34a-5p Promotes Hippocampal Neuronal Ferroptosis in Epilepsy by Regulating SIRT1.Neurochemical research · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Ferroptosis pathway activation is potentially correlated with temporal lobe epilepsy (TLE). However, the diagnostic significance and mechanism of ferroptosis-related genes (FRGs) in TLE require further investigation. A comprehensive analysis of the GSE134697 dataset from the Gene Expression Omnibus (GEO) database using Weighted gene co-expression network analysis (WGCNA) identified 3,212 differentially expressed genes (DEGs) between temporal lobe epilepsy (TLE) and control groups, with a critical focus on the turquoise module. Through intersection of DEGs and key module genes, correlation analyses with functional-related genes (FRG), protein-protein interactions (PPI), least absolute shrinkage and selection operator (LASSO), and machine learning methods, five potential biomarkers of ferroptosis (CBS, SHMT1, RIN3, QDPR, and PLPP4) were isolated. A nomogram was constructed using these markers, and enrichment analyses revealed their links to T-cell activation, allograft rejection, and glial differentiation. Variations in 13 immune cell types were also noted. Upregulation of CBS, RIN3, QDPR, and PLPP4 in TLE was confirmed through RT-qPCR and Western blot assays. Additionally, five SHMT1-targeting and one CBS-targeting drugs were predicted using the Drug-Gene Interaction Database (DGIdb). These findings provide new insights into the potential pathogenesis of TLE and suggest new targets for future research.
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Registered trials
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