Identification of differently expressed genes and small molecule drugs for Tetralogy of Fallot by bioinformatics strategy.

This study aimed to screen out differentially expressed genes (DEGs) and explore small molecule drugs for Tetralogy of Fallot (TOF). The gene expression profile of TOF GSE26125 was downloaded from the Gene Expression Omnibus database, including 16 idiopathic TOF samples and five healthy controls. The DEGs were identified by the Limma package in R language and underwent functional enrichment analysis via Database for Annotation, Visualization and Integrated Discovery tools. A protein-protein interaction (PPI) network of DEGs was then constructed and the significant clusters were selected for functional analysis. In addition, the DEGs were mapped to the connectivity map (CMap) database to identify potential small-molecule drugs. As a result, a total of 499 DEGs were selected between TOF and healthy controls. Meanwhile, the functional changes of DEGs related to TOF were mainly associated with cellular respiration and energy metabolism. Furthermore, in the PPI network, two clusters were identified via cluster 1 analysis. And only cluster 1 was significantly enriched into gene ontology terms, including respiratory chain, electron transport chain, and oxidation reduction. The hub gene of cluster 1 was NDUFAB1. Additionally, small molecules, such as harmine, solanine, and testosterone, may have the potential to repair the disordered metabolic pathways of TOF.