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摘要
The current study aimed to investigate the molecular mechanism underlying abdominal aortic aneurysm (AAA) via various bioinformatics techniques. Gene expression profiling analysis of differentially expressed genes (DEGs) between AAA samples and normal controls was conducted. The Database for Annotation, Visualization and Integrated Discovery tool was utilized to perform Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes analyses for DEGs and clusters from the protein-protein interaction (PPI) network, which was constructed using the Search Tool for the Retrieval of Interacting Genes. In addition, important transcription factors (TFs) that regulated DEGs were investigated. A total of 346 DEGs were identified between AAA samples and healthy controls. Additionally, four clusters were identified from the PPI network. Cluster 1 was associated with sensory perception of smell and the olfactory transduction subpathway. The most significant GO function terms for cluster 2 and 3 were response to virus and defense response, respectively. Cluster 4 was associated with mitochondria-associated functions and the oxidative phosphorylation subpathway. Early growth response-1 (EGR-1), Myc, activating transcription factor 5 (ATF5) and specificity protein (SP) 1:SP3 were identified to be critical TFs in this disease. The present study suggested that the olfactory transduction subpathway, mitochondria and oxidative phosphorylation pathways were involved in AAA, and TFs, such as EGR-1, Myc, ATF5 and SP1:SP3, may be potential candidate molecular targets for this disease.
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