Identification of ferroptosis-related genes in acute phase of temporal lobe epilepsy based on bioinformatic analysis

被引:4
|
作者
Chen, Shihao [1 ]
Jin, Xing [1 ]
He, Tao [1 ]
Zhang, Mulan [1 ]
Xu, Huiqin [1 ,2 ]
机构
[1] Wenzhou Med Univ, Dept Neurol, Affiliated Hosp 1, Wenzhou, Peoples R China
[2] Key Lab Alzheimers Dis Zhejiang Prov, Wenzhou, Zhejiang, Peoples R China
关键词
Epilepsy; Ferroptosis; Bioinformatic analysis; Biological diagnostic biomarkers; C-JUN; INHIBITION;
D O I
10.1186/s12864-023-09782-8
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
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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页数:9
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