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Identification of epidermal growth factor receptor as an immune-related biomarker in epilepsy using multi-transcriptome data

BACKGROUND: Epilepsy is a chronic disease that is characterized by transient brain dysfunction caused by an abrupt abnormal neuronal discharge. Recent studies have indicated that the pathways related to inflammation and innate immunity play significant roles in the pathogenesis of epilepsy, suggesti...

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Autores principales: Luo, Yujia, Xiao, Han, Chen, Hui, Gan, Hui, Zhang, Mi, Palahati, Ailiyaer, Duan, Yuhao, Zhai, Xuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167380/
https://www.ncbi.nlm.nih.gov/pubmed/37181029
http://dx.doi.org/10.21037/tp-23-196
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author Luo, Yujia
Xiao, Han
Chen, Hui
Gan, Hui
Zhang, Mi
Palahati, Ailiyaer
Duan, Yuhao
Zhai, Xuan
author_facet Luo, Yujia
Xiao, Han
Chen, Hui
Gan, Hui
Zhang, Mi
Palahati, Ailiyaer
Duan, Yuhao
Zhai, Xuan
author_sort Luo, Yujia
collection PubMed
description BACKGROUND: Epilepsy is a chronic disease that is characterized by transient brain dysfunction caused by an abrupt abnormal neuronal discharge. Recent studies have indicated that the pathways related to inflammation and innate immunity play significant roles in the pathogenesis of epilepsy, suggesting an interrelationship between immunity and inflammatory processes and epilepsy. However, the immune-related mechanisms are still not precisely understood; therefore, this study aimed to explore the immune-related mechanisms in epilepsy disorders, highlight the role of immune cells at the molecular level in epilepsy, and provide therapeutic targets for patients with epilepsy. METHODS: Brain tissue samples from healthy and epileptic individuals were collected for transcriptome sequencing to identify differentially expressed genes (DEGs) and differentially expressed (DE)-long coding RNAs (lncRNAs). Based on interactions from the miRcode, starBase2.0, miRDB, miRTarBase, TargetScan, and ENCORI databases, a lncRNA-associated competitive endogenous RNA (ceRNA) network was created. Gene ontology and the Kyoto encyclopedia of genes analyses established that the genes in the ceRNA network were mainly enriched in immune-related pathways. Immune cell infiltration, screening, and protein-protein interaction analyses of the immune-related ceRNAs, and correlation analysis between immune-related core messenger RNA (mRNA) and immune cells were also performed. RESULTS: Nine hub genes (EGFR, GRB2, KRAS, FOS, ESR1, MAPK1, MAPK14, MAPK8, and PPARG) were obtained. Also, 38 lncRNAs, one miRNA (hsa-miR-27a-3p), and one mRNA (EGFR) comprised the final core ceRNA network. Mast cells, plasmacytoid dendritic cells, and immature dendritic cells all showed positive correlations with EGFR, while Cluster of differentiation 56 dim natural killer cells (CD56dim natural killer cells) showed negative correlations. Finally, we employed an epilepsy mouse model to validate EGFR, which is consistent with disease progression. CONCLUSIONS: In conclusion, the pathophysiology of epilepsy was correlated with EGFR. Thus, EGFR could be a novel biomarker of juvenile focal epilepsies, and our findings provide promising therapeutic targets for epilepsy.
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spelling pubmed-101673802023-05-10 Identification of epidermal growth factor receptor as an immune-related biomarker in epilepsy using multi-transcriptome data Luo, Yujia Xiao, Han Chen, Hui Gan, Hui Zhang, Mi Palahati, Ailiyaer Duan, Yuhao Zhai, Xuan Transl Pediatr Original Article BACKGROUND: Epilepsy is a chronic disease that is characterized by transient brain dysfunction caused by an abrupt abnormal neuronal discharge. Recent studies have indicated that the pathways related to inflammation and innate immunity play significant roles in the pathogenesis of epilepsy, suggesting an interrelationship between immunity and inflammatory processes and epilepsy. However, the immune-related mechanisms are still not precisely understood; therefore, this study aimed to explore the immune-related mechanisms in epilepsy disorders, highlight the role of immune cells at the molecular level in epilepsy, and provide therapeutic targets for patients with epilepsy. METHODS: Brain tissue samples from healthy and epileptic individuals were collected for transcriptome sequencing to identify differentially expressed genes (DEGs) and differentially expressed (DE)-long coding RNAs (lncRNAs). Based on interactions from the miRcode, starBase2.0, miRDB, miRTarBase, TargetScan, and ENCORI databases, a lncRNA-associated competitive endogenous RNA (ceRNA) network was created. Gene ontology and the Kyoto encyclopedia of genes analyses established that the genes in the ceRNA network were mainly enriched in immune-related pathways. Immune cell infiltration, screening, and protein-protein interaction analyses of the immune-related ceRNAs, and correlation analysis between immune-related core messenger RNA (mRNA) and immune cells were also performed. RESULTS: Nine hub genes (EGFR, GRB2, KRAS, FOS, ESR1, MAPK1, MAPK14, MAPK8, and PPARG) were obtained. Also, 38 lncRNAs, one miRNA (hsa-miR-27a-3p), and one mRNA (EGFR) comprised the final core ceRNA network. Mast cells, plasmacytoid dendritic cells, and immature dendritic cells all showed positive correlations with EGFR, while Cluster of differentiation 56 dim natural killer cells (CD56dim natural killer cells) showed negative correlations. Finally, we employed an epilepsy mouse model to validate EGFR, which is consistent with disease progression. CONCLUSIONS: In conclusion, the pathophysiology of epilepsy was correlated with EGFR. Thus, EGFR could be a novel biomarker of juvenile focal epilepsies, and our findings provide promising therapeutic targets for epilepsy. AME Publishing Company 2023-04-27 2023-04-29 /pmc/articles/PMC10167380/ /pubmed/37181029 http://dx.doi.org/10.21037/tp-23-196 Text en 2023 Translational Pediatrics. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Luo, Yujia
Xiao, Han
Chen, Hui
Gan, Hui
Zhang, Mi
Palahati, Ailiyaer
Duan, Yuhao
Zhai, Xuan
Identification of epidermal growth factor receptor as an immune-related biomarker in epilepsy using multi-transcriptome data
title Identification of epidermal growth factor receptor as an immune-related biomarker in epilepsy using multi-transcriptome data
title_full Identification of epidermal growth factor receptor as an immune-related biomarker in epilepsy using multi-transcriptome data
title_fullStr Identification of epidermal growth factor receptor as an immune-related biomarker in epilepsy using multi-transcriptome data
title_full_unstemmed Identification of epidermal growth factor receptor as an immune-related biomarker in epilepsy using multi-transcriptome data
title_short Identification of epidermal growth factor receptor as an immune-related biomarker in epilepsy using multi-transcriptome data
title_sort identification of epidermal growth factor receptor as an immune-related biomarker in epilepsy using multi-transcriptome data
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167380/
https://www.ncbi.nlm.nih.gov/pubmed/37181029
http://dx.doi.org/10.21037/tp-23-196
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