Identification of potential crucial genes and pathways associated with vein graft restenosis based on gene expression analysis in experimental rabbits

PeerJ

Zhuoqi Liu¹  Liqiao Liu¹  Qun Wang²  Li Wan²  Mingzhu Li³  Xiujie Yin³  Qiang Liu³  Xiang Zhong³ 

[1] Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Nanchang University, Nanchang, Jiangxi Province, China;Department of Cardiovascular Surgery, Cardiovascular Research Institute Laboratory, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China;Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China;

关键词: Occlusive artery disease;    Vein graft restenosis;    Microarray data;    Differentially expressed gene;    Bioinformatics analysis;   

DOI  :  10.7717/peerj.4704

来源: DOAJ

【 摘 要 】

Occlusive artery disease (CAD) is the leading cause of death worldwide. Bypass graft surgery remains the most prevalently performed treatment for occlusive arterial disease, and veins are the most frequently used conduits for surgical revascularization. However, the clinical efficacy of bypass graft surgery is highly affected by the long-term potency rates of vein grafts, and no optimal treatments are available for the prevention of vein graft restenosis (VGR) at present. Hence, there is an urgent need to improve our understanding of the molecular mechanisms involved in mediating VGR. The past decade has seen the rapid development of genomic technologies, such as genome sequencing and microarray technologies, which will provide novel insights into potential molecular mechanisms involved in the VGR program. Ironically, high throughput data associated with VGR are extremely scarce. The main goal of the current study was to explore potential crucial genes and pathways associated with VGR and to provide valid biological information for further investigation of VGR. A comprehensive bioinformatics analysis was performed using high throughput gene expression data. Differentially expressed genes (DEGs) were identified using the R and Bioconductor packages. After functional enrichment analysis of the DEGs, protein–protein interaction (PPI) network and sub-PPI network analyses were performed. Finally, nine potential hub genes and fourteen pathways were identified. These hub genes may interact with each other and regulate the VGR program by modulating the cell cycle pathway. Future studies focusing on revealing the specific cellular and molecular mechanisms of these key genes and pathways involved in regulating the VGR program may provide novel therapeutic targets for VGR inhibition.

【 授权许可】

Unknown