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Identification of potential crucial genes and pathways associated with vein graft restenosis based on gene expression analysis in experimental rabbits
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5960261/ https://www.ncbi.nlm.nih.gov/pubmed/29785339 http://dx.doi.org/10.7717/peerj.4704 |
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author | Liu, Qiang Yin, Xiujie Li, Mingzhu Wan, Li Liu, Liqiao Zhong, Xiang Liu, Zhuoqi Wang, Qun |
author_facet | Liu, Qiang Yin, Xiujie Li, Mingzhu Wan, Li Liu, Liqiao Zhong, Xiang Liu, Zhuoqi Wang, Qun |
author_sort | Liu, Qiang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5960261 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59602612018-05-21 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 PeerJ Bioinformatics 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. PeerJ Inc. 2018-05-16 /pmc/articles/PMC5960261/ /pubmed/29785339 http://dx.doi.org/10.7717/peerj.4704 Text en ©2018 Liu et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Liu, Qiang Yin, Xiujie Li, Mingzhu Wan, Li Liu, Liqiao Zhong, Xiang Liu, Zhuoqi Wang, Qun Identification of potential crucial genes and pathways associated with vein graft restenosis based on gene expression analysis in experimental rabbits |
title | Identification of potential crucial genes and pathways associated with vein graft restenosis based on gene expression analysis in experimental rabbits |
title_full | Identification of potential crucial genes and pathways associated with vein graft restenosis based on gene expression analysis in experimental rabbits |
title_fullStr | Identification of potential crucial genes and pathways associated with vein graft restenosis based on gene expression analysis in experimental rabbits |
title_full_unstemmed | Identification of potential crucial genes and pathways associated with vein graft restenosis based on gene expression analysis in experimental rabbits |
title_short | Identification of potential crucial genes and pathways associated with vein graft restenosis based on gene expression analysis in experimental rabbits |
title_sort | identification of potential crucial genes and pathways associated with vein graft restenosis based on gene expression analysis in experimental rabbits |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5960261/ https://www.ncbi.nlm.nih.gov/pubmed/29785339 http://dx.doi.org/10.7717/peerj.4704 |
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