Identifying Hub Genes and miRNAs Associated with Mesial Temporal Lobe Epilepsy

Simay Bozkurt; Ömer Faruk Düzenli; Emrah Yücesan

Article Details

Identifying Hub Genes and miRNAs Associated with Mesial Temporal Lobe Epilepsy

Authors:

Simay Bozkurt | Ömer Faruk Düzenli | Emrah Yücesan

Publisher:

Istanbul University

Main Topics:

Clinical Sciences (Other)

Journal:

Experimed Vol.15 Issue 2, pp.183-192

Document Type:

Article

Publication Date:

8/2025

Document Language:

English

Document ID (Org No.):

2001358572

pISSN:

2667-5846

Keywords:

Abstract:

 Objective: Mesial temporal lobe epilepsy MTLE is a form of focal epilepsy. Recent studies indicate that microRNAs miRNAs are involved in the pathogenesis of MTLE. The purpose of this study was to determine differentially expressed genes DEGs and their regulatory miRNAs using bioinformatics analysis. Materials and Methods: The GSE186334 gene expression dataset was retrieved from the Gene Expression Omnibus GEO database. DEGs between MTLE and control samples were determined using GEO2R with p0.05 and logFC1, logFC1 as the threshold. Metascape was used for functional enrichment and gene ontology GO analysis. Protein-protein interactions PPIs were generated using the STRING database and visualized with Cytoscape. The top 10 highly connected genes were identified as hub genes. Candidate miRNAs targeting these genes were predicted using the miRDB, miRWalk, TargetScan and miRNet databases. Results: A total of 547 DEGs were found, comprising 380 upregulated and 167 downregulated genes. PPI analysis revealed 10 hub genes: IL6, IL1B, TNF, CCL2, CCL3, CCL4, CXCL8, IL1A, CD86, and CD40LG. miR-15a-5p and the hsa-let-7 family of miRNAs were predicted as potential regulators. Conclusion: Key hub genes and regulatory miRNAs involved in MTLE were identified. The enrichment of proinflammatory genes indicates a significant role of neuroinflammation. miRNAs such as miR-15a-5p and the hsa-let-7 family may critically regulate these pathways. These insights could support the development of new diagnostic biomarkers and therapeutic strategies, pending experimental validation.

 Objective: Mesial temporal lobe epilepsy MTLE is a form of focal epilepsy. Recent studies indicate that microRNAs miRNAs are involved in the pathogenesis of MTLE. The purpose of this study was to determine differentially expressed genes DEGs and their regulatory miRNAs using bioinformatics analysis. Materials and Methods: The GSE186334 gene expression dataset was retrieved from the Gene Expression Omnibus GEO database. DEGs between MTLE and control samples were determined using GEO2R with p0.05 and logFC1, logFC1 as the threshold. Metascape was used for functional enrichment and gene ontology GO analysis. Protein-protein interactions PPIs were generated using the STRING database and visualized with Cytoscape. The top 10 highly connected genes were identified as hub genes. Candidate miRNAs targeting these genes were predicted using the miRDB, miRWalk, TargetScan and miRNet databases. Results: A total of 547 DEGs were found, comprising 380 upregulated and 167 downregulated genes. PPI analysis revealed 10 hub genes: IL6, IL1B, TNF, CCL2, CCL3, CCL4, CXCL8, IL1A, CD86, and CD40LG. miR-15a-5p and the hsa-let-7 family of miRNAs were predicted as potential regulators. Conclusion: Key hub genes and regulatory miRNAs involved in MTLE were identified. The enrichment of proinflammatory genes indicates a significant role of neuroinflammation. miRNAs such as miR-15a-5p and the hsa-let-7 family may critically regulate these pathways. These insights could support the development of new diagnostic biomarkers and therapeutic strategies, pending experimental validation.

 Objective: Mesial temporal lobe epilepsy MTLE is a form of focal epilepsy. Recent studies indicate that microRNAs miRNAs are involved in the pathogenesis of MTLE. The purpose of this study was to determine differentially expressed genes DEGs and their regulatory miRNAs using bioinformatics analysis. Materials and Methods: The GSE186334 gene expression dataset was retrieved from the Gene Expression Omnibus GEO database. DEGs between MTLE and control samples were determined using GEO2R with p0.05 and logFC1, logFC1 as the threshold. Metascape was used for functional enrichment and gene ontology GO analysis. Protein-protein interactions PPIs were generated using the STRING database and visualized with Cytoscape. The top 10 highly connected genes were identified as hub genes. Candidate miRNAs targeting these genes were predicted using the miRDB, miRWalk, TargetScan and miRNet databases. Results: A total of 547 DEGs were found, comprising 380 upregulated and 167 downregulated genes. PPI analysis revealed 10 hub genes: IL6, IL1B, TNF, CCL2, CCL3, CCL4, CXCL8, IL1A, CD86, and CD40LG. miR-15a-5p and the hsa-let-7 family of miRNAs were predicted as potential regulators. Conclusion: Key hub genes and regulatory miRNAs involved in MTLE were identified. The enrichment of proinflammatory genes indicates a significant role of neuroinflammation. miRNAs such as miR-15a-5p and the hsa-let-7 family may critically regulate these pathways. These insights could support the development of new diagnostic biomarkers and therapeutic strategies, pending experimental validation.

 Objective: Mesial temporal lobe epilepsy MTLE is a form of focal epilepsy. Recent studies indicate that microRNAs miRNAs are involved in the pathogenesis of MTLE. The purpose of this study was to determine differentially expressed genes DEGs and their regulatory miRNAs using bioinformatics analysis. Materials and Methods: The GSE186334 gene expression dataset was retrieved from the Gene Expression Omnibus GEO database. DEGs between MTLE and control samples were determined using GEO2R with p0.05 and logFC1, logFC1 as the threshold. Metascape was used for functional enrichment and gene ontology GO analysis. Protein-protein interactions PPIs were generated using the STRING database and visualized with Cytoscape. The top 10 highly connected genes were identified as hub genes. Candidate miRNAs targeting these genes were predicted using the miRDB, miRWalk, TargetScan and miRNet databases. Results: A total of 547 DEGs were found, comprising 380 upregulated and 167 downregulated genes. PPI analysis revealed 10 hub genes: IL6, IL1B, TNF, CCL2, CCL3, CCL4, CXCL8, IL1A, CD86, and CD40LG. miR-15a-5p and the hsa-let-7 family of miRNAs were predicted as potential regulators. Conclusion: Key hub genes and regulatory miRNAs involved in MTLE were identified. The enrichment of proinflammatory genes indicates a significant role of neuroinflammation. miRNAs such as miR-15a-5p and the hsa-let-7 family may critically regulate these pathways. These insights could support the development of new diagnostic biomarkers and therapeutic strategies, pending experimental validation.

Article Details

Identifying Hub Genes and miRNAs Associated with Mesial Temporal Lobe Epilepsy

Authors:

Simay Bozkurt | Ömer Faruk Düzenli | Emrah Yücesan

Publisher:

Istanbul University

Main Topics:

Clinical Sciences (Other)

Journal:

Experimed Vol.15 Issue 2, pp.183-192

Document Type:

Article

Publication Date:

8/2025

Document Language:

English

Document ID (Org No.):

2001358572

pISSN:

2667-5846

miRNAs

Mesial temporal lobe epilepsy

DEGs

Bioinformatics

Issues

Article Details

Identifying Hub Genes and miRNAs Associated with Mesial Temporal Lobe Epilepsy

Authors: Simay Bozkurt | Ömer Faruk Düzenli | Emrah Yücesan

Publisher: Istanbul University

Main Topics: Clinical Sciences (Other)

Journal: Experimed Vol.15 Issue 2, pp.183-192

Document Type: Article

Publication Date: 8/2025

Document Language: English

Document ID (Org No.): 2001358572

pISSN: 2667-5846

miRNAs

Mesial temporal lobe epilepsy

DEGs

Bioinformatics

Issues

Authors:

Simay Bozkurt | Ömer Faruk Düzenli | Emrah Yücesan

Publisher:

Istanbul University

Main Topics:

Clinical Sciences (Other)

Journal:

Experimed Vol.15 Issue 2, pp.183-192

Document Type:

Article

Publication Date:

8/2025

Document Language:

English

Document ID (Org No.):

2001358572

pISSN:

2667-5846