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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....
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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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. |
format | Online Article Text |
id | pubmed-8809227 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
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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