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Screening and identification of novel candidate biomarkers of focal cortical dysplasia type II via bioinformatics analysis

PURPOSE: Focal cortical dysplasia (FCD) is the most common developmental malformation that causes refractory epilepsy. FCD II is a common neuropathological finding in tissues resected therapeutically from patients with drug-resistant epilepsy. However, its molecular genetic etiology remains unclear....

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Autores principales: Wang, Jiang-ya, Li, Yang, Lv, Yuan-yuan, Jiang, Lian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8809227/
https://www.ncbi.nlm.nih.gov/pubmed/35112146
http://dx.doi.org/10.1007/s00381-022-05454-2
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author Wang, Jiang-ya
Li, Yang
Lv, Yuan-yuan
Jiang, Lian
author_facet Wang, Jiang-ya
Li, Yang
Lv, Yuan-yuan
Jiang, Lian
author_sort Wang, Jiang-ya
collection PubMed
description PURPOSE: Focal cortical dysplasia (FCD) is the most common developmental malformation that causes refractory epilepsy. FCD II is a common neuropathological finding in tissues resected therapeutically from patients with drug-resistant epilepsy. However, its molecular genetic etiology remains unclear. This study aimed to identify potential molecular markers of FCD II using bioinformatics analysis. METHODS: We downloaded two datasets for FCD II from the Gene Expression Omnibus data repository. Differentially expressed genes (DEGs) between FCD II and normal brain tissues were identified, and functional enrichment analysis was performed. A protein–protein interaction network was constructed, and hub genes were identified from the DEGs. The hub gene expression was validated using WB in vitro. IHC staining was performed to verify the feasibility of the target molecular markers identified in the bioinformatics analysis. RESULTS: One hundred sixty-seven common DEGs were identified between the datasets. The GO and KEGG analyses showed that variations were prominently enriched in some functions associated with gene expression. Five hub genes (i.e., FANCI, FANCA, BRCA2, RAD18, and KEAP1) were identified. Western blotting confirmed that all hub gene expressions were higher in the FCD II tissue than in the normal brain tissue. IHC staining showed that the FANCI expression significantly increased in the FCD II tissue. CONCLUSION: There are DEGs between FCD II and normal brain tissues, which may be considered biomarkers for FCD II, along with FANCI. The DEGs and hub genes identified in the bioinformatics analysis could serve as candidate targets for diagnosing and treating FCD II.
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spelling pubmed-88092272022-02-02 Screening and identification of novel candidate biomarkers of focal cortical dysplasia type II via bioinformatics analysis Wang, Jiang-ya Li, Yang Lv, Yuan-yuan Jiang, Lian Childs Nerv Syst Original Article PURPOSE: Focal cortical dysplasia (FCD) is the most common developmental malformation that causes refractory epilepsy. FCD II is a common neuropathological finding in tissues resected therapeutically from patients with drug-resistant epilepsy. However, its molecular genetic etiology remains unclear. This study aimed to identify potential molecular markers of FCD II using bioinformatics analysis. METHODS: We downloaded two datasets for FCD II from the Gene Expression Omnibus data repository. Differentially expressed genes (DEGs) between FCD II and normal brain tissues were identified, and functional enrichment analysis was performed. A protein–protein interaction network was constructed, and hub genes were identified from the DEGs. The hub gene expression was validated using WB in vitro. IHC staining was performed to verify the feasibility of the target molecular markers identified in the bioinformatics analysis. RESULTS: One hundred sixty-seven common DEGs were identified between the datasets. The GO and KEGG analyses showed that variations were prominently enriched in some functions associated with gene expression. Five hub genes (i.e., FANCI, FANCA, BRCA2, RAD18, and KEAP1) were identified. Western blotting confirmed that all hub gene expressions were higher in the FCD II tissue than in the normal brain tissue. IHC staining showed that the FANCI expression significantly increased in the FCD II tissue. CONCLUSION: There are DEGs between FCD II and normal brain tissues, which may be considered biomarkers for FCD II, along with FANCI. The DEGs and hub genes identified in the bioinformatics analysis could serve as candidate targets for diagnosing and treating FCD II. Springer Berlin Heidelberg 2022-02-02 2022 /pmc/articles/PMC8809227/ /pubmed/35112146 http://dx.doi.org/10.1007/s00381-022-05454-2 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Wang, Jiang-ya
Li, Yang
Lv, Yuan-yuan
Jiang, Lian
Screening and identification of novel candidate biomarkers of focal cortical dysplasia type II via bioinformatics analysis
title Screening and identification of novel candidate biomarkers of focal cortical dysplasia type II via bioinformatics analysis
title_full Screening and identification of novel candidate biomarkers of focal cortical dysplasia type II via bioinformatics analysis
title_fullStr Screening and identification of novel candidate biomarkers of focal cortical dysplasia type II via bioinformatics analysis
title_full_unstemmed Screening and identification of novel candidate biomarkers of focal cortical dysplasia type II via bioinformatics analysis
title_short Screening and identification of novel candidate biomarkers of focal cortical dysplasia type II via bioinformatics analysis
title_sort screening and identification of novel candidate biomarkers of focal cortical dysplasia type ii via bioinformatics analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8809227/
https://www.ncbi.nlm.nih.gov/pubmed/35112146
http://dx.doi.org/10.1007/s00381-022-05454-2
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