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Investigation into the underlying molecular mechanisms of hypertensive nephrosclerosis using bioinformatics analyses
Hypertensive nephrosclerosis (HNS) is a major risk factor for end-stage renal disease. However, the underlying pathogenesis of HNS remains to be fully determined. The gene expression profile of GSE20602, which consists of 14 glomeruli samples from patients with HNS and 4 normal glomeruli control sam...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5802219/ https://www.ncbi.nlm.nih.gov/pubmed/29328390 http://dx.doi.org/10.3892/mmr.2018.8405 |
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author | Liu, Tianlong Liu, Minna Shang, Peijin Jin, Xin Liu, Wenxing Zhang, Yikai Li, Xinfang Ding, Yi Li, Yuwen Wen, Aidong |
author_facet | Liu, Tianlong Liu, Minna Shang, Peijin Jin, Xin Liu, Wenxing Zhang, Yikai Li, Xinfang Ding, Yi Li, Yuwen Wen, Aidong |
author_sort | Liu, Tianlong |
collection | PubMed |
description | Hypertensive nephrosclerosis (HNS) is a major risk factor for end-stage renal disease. However, the underlying pathogenesis of HNS remains to be fully determined. The gene expression profile of GSE20602, which consists of 14 glomeruli samples from patients with HNS and 4 normal glomeruli control samples, was obtained from the Gene Expression Omnibus database. Gene ontology (GO) and pathway enrichment analyses were performed in order to investigate the functions and pathways of differentially expressed genes (DEGs). Pathway relation and co-expression networks were constructed in order to identify key genes and signaling pathways involved in HNS. In total, 483 DEGs were identified to be associated with HNS, including 302 upregulated genes and 181 downregulated genes. Furthermore, GO analysis revealed that DEGs were significantly enriched in the small molecule metabolic process. In addition, pathway analysis also revealed that DEGs were predominantly involved in metabolic pathways. The tricarboxylic acid (TCA) cycle was identified as the hub pathway in the pathway relation network, whereas the sorbitol dehydrogenase (SORD) and cubulin (CUBN) genes were revealed to be the hub genes in the co-expression network. The present study revealed that the SORD, CUBN and albumin genes as well as the TCA cycle and metabolic pathways are involved in the pathogenesis of HNS. The results of the present study may contribute to the determination of the molecular mechanisms underlying HNS, and provide insight into the exploration of novel targets for the diagnosis and treatment of HNS. |
format | Online Article Text |
id | pubmed-5802219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-58022192018-02-26 Investigation into the underlying molecular mechanisms of hypertensive nephrosclerosis using bioinformatics analyses Liu, Tianlong Liu, Minna Shang, Peijin Jin, Xin Liu, Wenxing Zhang, Yikai Li, Xinfang Ding, Yi Li, Yuwen Wen, Aidong Mol Med Rep Articles Hypertensive nephrosclerosis (HNS) is a major risk factor for end-stage renal disease. However, the underlying pathogenesis of HNS remains to be fully determined. The gene expression profile of GSE20602, which consists of 14 glomeruli samples from patients with HNS and 4 normal glomeruli control samples, was obtained from the Gene Expression Omnibus database. Gene ontology (GO) and pathway enrichment analyses were performed in order to investigate the functions and pathways of differentially expressed genes (DEGs). Pathway relation and co-expression networks were constructed in order to identify key genes and signaling pathways involved in HNS. In total, 483 DEGs were identified to be associated with HNS, including 302 upregulated genes and 181 downregulated genes. Furthermore, GO analysis revealed that DEGs were significantly enriched in the small molecule metabolic process. In addition, pathway analysis also revealed that DEGs were predominantly involved in metabolic pathways. The tricarboxylic acid (TCA) cycle was identified as the hub pathway in the pathway relation network, whereas the sorbitol dehydrogenase (SORD) and cubulin (CUBN) genes were revealed to be the hub genes in the co-expression network. The present study revealed that the SORD, CUBN and albumin genes as well as the TCA cycle and metabolic pathways are involved in the pathogenesis of HNS. The results of the present study may contribute to the determination of the molecular mechanisms underlying HNS, and provide insight into the exploration of novel targets for the diagnosis and treatment of HNS. D.A. Spandidos 2018-03 2018-01-09 /pmc/articles/PMC5802219/ /pubmed/29328390 http://dx.doi.org/10.3892/mmr.2018.8405 Text en Copyright: © Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Liu, Tianlong Liu, Minna Shang, Peijin Jin, Xin Liu, Wenxing Zhang, Yikai Li, Xinfang Ding, Yi Li, Yuwen Wen, Aidong Investigation into the underlying molecular mechanisms of hypertensive nephrosclerosis using bioinformatics analyses |
title | Investigation into the underlying molecular mechanisms of hypertensive nephrosclerosis using bioinformatics analyses |
title_full | Investigation into the underlying molecular mechanisms of hypertensive nephrosclerosis using bioinformatics analyses |
title_fullStr | Investigation into the underlying molecular mechanisms of hypertensive nephrosclerosis using bioinformatics analyses |
title_full_unstemmed | Investigation into the underlying molecular mechanisms of hypertensive nephrosclerosis using bioinformatics analyses |
title_short | Investigation into the underlying molecular mechanisms of hypertensive nephrosclerosis using bioinformatics analyses |
title_sort | investigation into the underlying molecular mechanisms of hypertensive nephrosclerosis using bioinformatics analyses |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5802219/ https://www.ncbi.nlm.nih.gov/pubmed/29328390 http://dx.doi.org/10.3892/mmr.2018.8405 |
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