The Journal of craniofacial surgery · 2024
Bioinformatics Analysis of Hub Genes in Craniofacial Microsomia Combined With Congenital Heart Disease.
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Li Zhifeng, Sun Zhenzhen, Zhao Shanbaga, Zang Tianying, Zhang Zhiyong, Tang Xiaojun
Аннотация
OBJECTIVE: The primary objective of this study was to investigate potential mechanisms and explore hub genes of craniofacial microsomia (CFM) patients associated with congenital heart defects (CHD).
METHODS: Initially, the authors acquired target gene data related to CFM and congenital cardiac anomalies. Subsequently, the authors established a protein-protein interaction (PPI) network. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses and molecular complex detection were conducted using Metascape. Finally, the authors hub genes were screened by the cytoHubba plugin.
RESULTS: A total of 43 CFM genes and 120 optimal CHD candidate genes were selected. The PPI networks for pathogenic genes contained 163 nodes and 1179 edges. Functional enrichment analysis largely focused on tissue formation and development. Five modules were identified from the PPI network, and 7 hub genes were screened out. The genes most relevant to CFM associated with congenital cardiac anomalies pathogenesis included fibroblast growth factor 3, GATA binding protein 3, nuclear factor of activated T cells 1, histone cell cycle regulator, EPAS1, mitogen-activated protein kinase 1, and CRK like proto-oncogene, adaptor protein.
CONCLUSIONS: This study identified some significant hub genes, pathways, and modules of CFM associated with CHD by bioinformatics analyses. Our findings indicate that gene subfamilies fibroblast growth factor 3, GATA binding protein 3, nuclear factor of activated T cells 1, histone cell cycle regulator, EPAS1, mitogen-activated protein kinase 1, and CRK like proto-oncogene, adaptor protein may have had significant involvement in both CFM and CHD.
METHODS: Initially, the authors acquired target gene data related to CFM and congenital cardiac anomalies. Subsequently, the authors established a protein-protein interaction (PPI) network. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses and molecular complex detection were conducted using Metascape. Finally, the authors hub genes were screened by the cytoHubba plugin.
RESULTS: A total of 43 CFM genes and 120 optimal CHD candidate genes were selected. The PPI networks for pathogenic genes contained 163 nodes and 1179 edges. Functional enrichment analysis largely focused on tissue formation and development. Five modules were identified from the PPI network, and 7 hub genes were screened out. The genes most relevant to CFM associated with congenital cardiac anomalies pathogenesis included fibroblast growth factor 3, GATA binding protein 3, nuclear factor of activated T cells 1, histone cell cycle regulator, EPAS1, mitogen-activated protein kinase 1, and CRK like proto-oncogene, adaptor protein.
CONCLUSIONS: This study identified some significant hub genes, pathways, and modules of CFM associated with CHD by bioinformatics analyses. Our findings indicate that gene subfamilies fibroblast growth factor 3, GATA binding protein 3, nuclear factor of activated T cells 1, histone cell cycle regulator, EPAS1, mitogen-activated protein kinase 1, and CRK like proto-oncogene, adaptor protein may have had significant involvement in both CFM and CHD.