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Identification of ferroptosis-related genes in acute phase of temporal lobe epilepsy based on bioinformatic analysis.
- Source :
-
BMC Genomics . 11/9/2023, Vol. 23 Issue 6, p1-9. 9p. - Publication Year :
- 2023
-
Abstract
- Background: Epilepsy 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. Methods: To 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. Results: This 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. Conclusion: We 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 14712164
- Volume :
- 23
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- BMC Genomics
- Publication Type :
- Academic Journal
- Accession number :
- 173514941
- Full Text :
- https://doi.org/10.1186/s12864-023-09782-8