ArticleBMC genomics2023
Identification of ferroptosis-related genes in acute phase of temporal lobe epilepsy based on bioinformatic analysis.
Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Deciphering the rules of regulated cell death subroutines by in silico methods.Journal of advanced research · 2026Review
- In Vivo Longitudinal Mapping of Brain Iron Accumulation After Pilocarpine-Induced Status Epilepticus.Molecular neurobiology · 2026Article
- Multilayer Validation Reveals a Glia-Associated Secretome Signature in Temporal Lobe Epilepsy.Journal of molecular neuroscience : MN · 2026Article
- Neuroinflammation promotes the development of pharmacoresistant epilepsy by triggering the MSK1/CREB signaling pathway.Scientific reports · 2026Article
- Targeting the Gut-Brain-Ferroptosis Axis: Molecular Mechanisms and Therapeutic Potential in Alzheimer's Disease and Epilepsy.Journal of molecular neuroscience : MN · 2026Review
- Screening, Analysis, and Validation of Endoplasmic Reticulum Stress-Related DEGs in Epilepsy.Cellular and molecular neurobiology · 2025Article
- Ferroptosis-Related Gene Signatures in Epilepsy: Diagnostic and Immune Insights.Molecular neurobiology · 2025Article
- Identification of ferroptosis-related gene signatures in temporal lobe epilepsy with hippocampal sclerosis.Frontiers in neuroscience · 2025Article
- Cellular preconditioning and mesenchymal stem cell ferroptosis.World journal of stem cells · 2024Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEpilepsy is a prevalent neurological disorder, and while its precise mechanism remains elusive, a connection to ferroptosis has been established. This study investigates the potential clinical diagnostic significance of ferroptosis-related genes (FRGs) during the acute phase of temporal lobe epilepsy.
methodsTo identify differentially expressed genes (DEGs), we accessed data from the GEO database and performed an intersection analysis with the FerrDB database to pinpoint FRGs. A protein-protein interaction (PPI) network was constructed. To assess the diagnostic utility of the discovered feature genes for the disease, ROC curve analysis was conducted. Subsequently, qRT-PCR was employed to validate the expression levels of these feature genes.
resultsThis study identified a total of 25 FRGs. PPI network analysis revealed six feature genes: IL6, PTGS2, HMOX1, NFE2L2, TLR4, and JUN. ROC curve analysis demonstrated that the combination of these six feature genes exhibited the highest diagnostic potential. qRT-PCR validation confirmed the expression of these feature genes.
conclusionWe have identified six feature genes (IL6, PTGS2, HMOX1, NFE2L2, TLR4, and JUN) strongly associated with ferroptosis in epilepsy, suggesting their potential as biomarkers for the diagnosis of temporal lobe epilepsy.
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