Identification of common biomarkers between obesity and type A aortic dissection based on bioinformatics analysis
WANG Jie-neng
ZHANG Shi-ming
LIU Rui-sheng
SUN Wei
Abstract：Objective To screen the possible shared-biomarkers of predictive factors for obesity and type A aortic dissection(TAAD).Methods The TAAD croarray data related to TAAD and obesity were downloaded from gene expression omnibus(GEO)database.The differentially expressed genes were selected by GEO2R,and the differentially co-expressed genes were obtained ording to the intersection of Venn map.Biological function enrichment of gene ontology(GO)and kyoto encyclopedia of genes and genomes(KEGG)were analyzed via the DAVID website,and protein interaction was analyzed via the STRING website using Cytoscape3.8.2 software.Results A total of 30 DEGs were screened,in which,5 hub genes were identified and biological process analysis revealed:ITGAX,CD163,S100A9,SPP1 and IL-6.Conclusion TAAD and obesity shared some common pathogenic genes,which may be the biological predictors and potential drug targets for TAAD patients with obesity.
Keywords：Type A aortic dissectionObesityBioinformaticsSignal pathwayProtein-protein interaction
Publication Date：2024-10-10
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 912-917 )