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Irish Journal of Medical Science (1971 -)

Erschienen in:

21.07.2023 | Review Article

Identification of common core ion channel genes in epilepsy and Alzheimer’s disease

verfasst von: Ting Tang, Xiang Li, Erhan Yu, Man Li, Xiaodong Pan

Erschienen in: Irish Journal of Medical Science (1971 -) | Ausgabe 1/2024

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Abstract

Background

Although available literature indicates that the incidence of dementia in the epilepsy population and the risk of seizures in the Alzheimer’s disease (AD) population are high, the specific genetic risk factors and the interaction mechanism are unclear, rendering rational genetic interpretation rather challenging.

Aims

Our work aims to identify the common core ion channel genes in epilepsy and AD.

Methods

In this study, we first integrated gene expression omnibus datasets (GSE48350 and GSE6834) on AD and epilepsy to identify differentially expressed genes (DEGs), performing Gene Ontology function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs. The related protein–protein interaction (PPI) network was constructed for DEGs, and the hub gene was evaluated.

Results

A total of 2800 and 35 genes were identified in GSE48350 and GSE6834, and 12 DEGs were significantly differentially expressed between the datasets. KEGG pathway analysis showed that DEGs were primarily enriched in glutamatergic synapse and dopaminergic synapse pathways. SCN2A, GRIA1, and KCNJ9 were the hub genes with high connectivity.

Conclusions

The findings suggest that the three genes, SCN2A, GRIA1, and KCNJ9, may serve as potential targets for treating AD comorbid with epilepsy.

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Titel: Identification of common core ion channel genes in epilepsy and Alzheimer’s disease
verfasst von: Ting Tang
Xiang Li
Erhan Yu
Man Li
Xiaodong Pan
Publikationsdatum: 21.07.2023
Verlag: Springer International Publishing
Erschienen in: Irish Journal of Medical Science (1971 -) / Ausgabe 1/2024
Print ISSN: 0021-1265
Elektronische ISSN: 1863-4362
DOI: https://doi.org/10.1007/s11845-023-03447-x

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Abstract

Background

Aims

Methods

Results

Conclusions

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