Bioinformatics Analysis of Hub Genes Involved in Smoke-Induced Hemifacial Microsomia Pathogenesis

Abstract

Objective: Tobacco smoke is a recognized teratogen, which increases the risk for hemifacial microsomia (HFM) of the fetus during maternal pregnancy. The present study aimed to explore potential mechanisms and verify hub genes of HFM associated with smoke and tobacco smoke pollution (TSP) via bioinformatics methods. Methods: Hemifacial microsomia and smoke and TSP pathogenic genes were obtained. A protein-protein interactional (PPI) network was constructed. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses and molecular complex detection were performed by Metascape. Finally, we used the cytoHubba plug-in to screen the hub genes. Results: A total of 43 HFM genes and 50 optimal smoke candidate genes were selected. Functional enrichment analysis largely focused on tissue morphogenesis and development. Two modules were identified from the PPI network, and 10 hub genes were screened out. The genes most relevant to smoke-induced HFM pathogenesis included TP53, ESR1, ESR2, and HNRNPL. Conclusions: This study identified some significant hub genes, pathways, and modules of HFM related to smoke by bioinformatics analyses. Our results suggest that the TP53, ESR1, ESR2, and HNRNPL gene subfamilies may have played a major role in HFM induced by smoke and TSP.