Your browser doesn't support javascript.
loading
Identification of potential crucial genes and pathways associated with vein graft restenosis based on gene expression analysis in experimental rabbits.
Liu, Qiang; Yin, Xiujie; Li, Mingzhu; Wan, Li; Liu, Liqiao; Zhong, Xiang; Liu, Zhuoqi; Wang, Qun.
Afiliación
  • Liu Q; Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China.
  • Yin X; Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China.
  • Li M; Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China.
  • Wan L; Department of Cardiovascular Surgery, Cardiovascular Research Institute Laboratory, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China.
  • Liu L; Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Nanchang University, Nanchang, Jiangxi Province, China.
  • Zhong X; Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China.
  • Liu Z; Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Nanchang University, Nanchang, Jiangxi Province, China.
  • Wang Q; Department of Cardiovascular Surgery, Cardiovascular Research Institute Laboratory, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China.
PeerJ ; 6: e4704, 2018.
Article en En | MEDLINE | ID: mdl-29785339
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.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Risk_factors_studies Idioma: En Revista: PeerJ Año: 2018 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Risk_factors_studies Idioma: En Revista: PeerJ Año: 2018 Tipo del documento: Article País de afiliación: China