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Exploring the pathogenesis linking traumatic brain injury and epilepsy via bioinformatic analyses

Traumatic brain injury (TBI) is a serious disease that could increase the risk of epilepsy. The purpose of this article is to explore the common molecular mechanism in TBI and epilepsy with the aim of providing a theoretical basis for the prevention and treatment of post-traumatic epilepsy (PTE). Tw...

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Autores principales: Zhao, Gengshui, Fu, Yongqi, Yang, Chao, Yang, Xuehui, Hu, Xiaoxiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686289/
https://www.ncbi.nlm.nih.gov/pubmed/36438009
http://dx.doi.org/10.3389/fnagi.2022.1047908
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author Zhao, Gengshui
Fu, Yongqi
Yang, Chao
Yang, Xuehui
Hu, Xiaoxiao
author_facet Zhao, Gengshui
Fu, Yongqi
Yang, Chao
Yang, Xuehui
Hu, Xiaoxiao
author_sort Zhao, Gengshui
collection PubMed
description Traumatic brain injury (TBI) is a serious disease that could increase the risk of epilepsy. The purpose of this article is to explore the common molecular mechanism in TBI and epilepsy with the aim of providing a theoretical basis for the prevention and treatment of post-traumatic epilepsy (PTE). Two datasets of TBI and epilepsy in the Gene Expression Omnibus (GEO) database were downloaded. Functional enrichment analysis, protein–protein interaction (PPI) network construction, and hub gene identification were performed based on the cross-talk genes of aforementioned two diseases. Another dataset was used to validate these hub genes. Moreover, the abundance of infiltrating immune cells was evaluated through Immune Cell Abundance Identifier (ImmuCellAI). The common microRNAs (miRNAs) between TBI and epilepsy were acquired via the Human microRNA Disease Database (HMDD). The overlapped genes in cross-talk genes and target genes predicted through the TargetScan were obtained to construct the common miRNAs–mRNAs network. A total of 106 cross-talk genes were screened out, including 37 upregulated and 69 downregulated genes. Through the enrichment analyses, we showed that the terms about cytokine and immunity were enriched many times, particularly interferon gamma signaling pathway. Four critical hub genes were screened out for co-expression analysis. The miRNA–mRNA network revealed that three miRNAs may affect the shared interferon-induced genes, which might have essential roles in PTE. Our study showed the potential role of interferon gamma signaling pathway in pathogenesis of PTE, which may provide a promising target for future therapeutic interventions.
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spelling pubmed-96862892022-11-25 Exploring the pathogenesis linking traumatic brain injury and epilepsy via bioinformatic analyses Zhao, Gengshui Fu, Yongqi Yang, Chao Yang, Xuehui Hu, Xiaoxiao Front Aging Neurosci Neuroscience Traumatic brain injury (TBI) is a serious disease that could increase the risk of epilepsy. The purpose of this article is to explore the common molecular mechanism in TBI and epilepsy with the aim of providing a theoretical basis for the prevention and treatment of post-traumatic epilepsy (PTE). Two datasets of TBI and epilepsy in the Gene Expression Omnibus (GEO) database were downloaded. Functional enrichment analysis, protein–protein interaction (PPI) network construction, and hub gene identification were performed based on the cross-talk genes of aforementioned two diseases. Another dataset was used to validate these hub genes. Moreover, the abundance of infiltrating immune cells was evaluated through Immune Cell Abundance Identifier (ImmuCellAI). The common microRNAs (miRNAs) between TBI and epilepsy were acquired via the Human microRNA Disease Database (HMDD). The overlapped genes in cross-talk genes and target genes predicted through the TargetScan were obtained to construct the common miRNAs–mRNAs network. A total of 106 cross-talk genes were screened out, including 37 upregulated and 69 downregulated genes. Through the enrichment analyses, we showed that the terms about cytokine and immunity were enriched many times, particularly interferon gamma signaling pathway. Four critical hub genes were screened out for co-expression analysis. The miRNA–mRNA network revealed that three miRNAs may affect the shared interferon-induced genes, which might have essential roles in PTE. Our study showed the potential role of interferon gamma signaling pathway in pathogenesis of PTE, which may provide a promising target for future therapeutic interventions. Frontiers Media S.A. 2022-11-10 /pmc/articles/PMC9686289/ /pubmed/36438009 http://dx.doi.org/10.3389/fnagi.2022.1047908 Text en Copyright © 2022 Zhao, Fu, Yang, Yang and Hu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Zhao, Gengshui
Fu, Yongqi
Yang, Chao
Yang, Xuehui
Hu, Xiaoxiao
Exploring the pathogenesis linking traumatic brain injury and epilepsy via bioinformatic analyses
title Exploring the pathogenesis linking traumatic brain injury and epilepsy via bioinformatic analyses
title_full Exploring the pathogenesis linking traumatic brain injury and epilepsy via bioinformatic analyses
title_fullStr Exploring the pathogenesis linking traumatic brain injury and epilepsy via bioinformatic analyses
title_full_unstemmed Exploring the pathogenesis linking traumatic brain injury and epilepsy via bioinformatic analyses
title_short Exploring the pathogenesis linking traumatic brain injury and epilepsy via bioinformatic analyses
title_sort exploring the pathogenesis linking traumatic brain injury and epilepsy via bioinformatic analyses
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686289/
https://www.ncbi.nlm.nih.gov/pubmed/36438009
http://dx.doi.org/10.3389/fnagi.2022.1047908
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