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Screening and Analysis of Aortic Dissection Based on Bioinformatics Methods Related Key Genes and Early Prevention and Treatment

Author(s): Y. Xin, A. Liu, Shan Lv, Shan Xu, Hongyu Li, Guangyu Cheng, Junfeng Cui, Huize Han, Xiyue Lv, Yurong Huang, Sen Yang and Yinghui Liu*
Department of Traditional Chinese Medicine, Changchun University of Traditional Chinese Medicine, 1The Third Affiliated Hospital of Changchun University of Traditional Chinese Medicine, 2Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, Jilin Province 130117, China

Correspondence Address:
Yinghui Liu, Department of Traditional Chinese Medicine, Changchun University of Traditional Chinese Medicine, Changchun, Jilin Province 130117, China, E-mail:

Aortic dissection is a serious cardiovascular emergency with a very high early mortality rate, so it is particularly important to develop new targeted therapies to reduce prevalence and improve survival, and we hope to explore potential biomarkers involved in the development of aortic dissection and available pharmaceutical components sensitive to therapeutic targets through bioinformatics technology. First, download the gene expression omnibus dataset (GSE190635), use the affy software package of the R software for data standardization, the limma software package to screen the differential genes, and use the relevant software package to draw the volcano map and heat map of the differential gene; then database for annotation, visualization, and integrated discovery software was used for gene ontology and Kyoto encyclopedia of genes and genomes pathway enrichment analysis. Next, the protein-protein interaction network was further constructed, and the STRING exported data was visualized using Cytoscape software, and finally the hub gene was extracted using cytoHubba and MCODE plugins. Finally, the Coremine medical information retrieval platform was used to screen for possible therapeutic drugs. Through differentially expressed genes analysis, 45 up-regulated differentially expressed genes and 132 down-regulated differentially expressed genes were successfully distinguished from the GSE79768. They are mainly enriched in positive regulation of urine volume, cell activation, extracellular region, lipopeptide binding and nucleotide oligomerization domain-like receptor signaling pathway, etc. Through protein-protein interaction, the top 7 hub genes were ranked, including early growth response protein 1, C-X-C motif chemokine ligand 8, fructo-oligosaccharides, filamin C, toll-like receptor 2, identified integrin alpha 7, myosin light chain-2. Coremine medical was used to retrieve a variety of related drugs, among which recombinant interleukin-6, recombinant tumor necrosis factor family protein, lipopolysaccharide and tyrosine co-regulated the above genes. In this study, 7 differentially expressed genes were identified as potential biomarkers for aortic dissection patients, which may provide new targets for aortic dissection therapy. But this is just the beginning, and we need to carry out experiments to verify the accuracy and feasibility of these results in the future.

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Citations : 66710

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