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Identification of potential candidate genes for hypertensive nephropathy based on gene expression profile

BACKGROUND: This study was aimed to explore the molecular mechanisms of hypertensive nephropathy (HTN). METHODS: Gene expression profile of GSE37460, which based on 27 healthy living donor samples (HTN group) and 15 hypertensive nephropathy samples (control group), were downloaded from Gene Expressi...

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Detalles Bibliográficos
Autores principales: Chen, Zhi, Wu, Hao, Wang, Guohua, Feng, Ye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069870/
https://www.ncbi.nlm.nih.gov/pubmed/27756246
http://dx.doi.org/10.1186/s12882-016-0366-8
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author Chen, Zhi
Wu, Hao
Wang, Guohua
Feng, Ye
author_facet Chen, Zhi
Wu, Hao
Wang, Guohua
Feng, Ye
author_sort Chen, Zhi
collection PubMed
description BACKGROUND: This study was aimed to explore the molecular mechanisms of hypertensive nephropathy (HTN). METHODS: Gene expression profile of GSE37460, which based on 27 healthy living donor samples (HTN group) and 15 hypertensive nephropathy samples (control group), were downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between two groups were identified. STRING database was used to reveal protein-protein interaction (PPI) network of DEGs, followed by the functional enrichment analysis of the PPI network. Additionally, miRNA-DEG regulatory network was constructed to reveal the validated miRNAs targeting the DEGs. RESULTS: In total, 51 up-regulated genes and 140 down-regulated genes were obtained. In the PPI network, cytochrome P450 3A4 (CYP3A4) and angiotensin II receptor type 1 (AGTR1) had a higher degree, and CYP3A4 interacted with CYP4A11. The DEGs in the network were significantly enriched in drug metabolism, focal adhesion and arachidonic acid metabolism. Furthermore, in the miRNA-DEG regulatory network, hsa-miR-335-5p and hsa-miR-26b-5p were the two most outstanding miRNAs. AGTR1, CYP3A4 and CYP4A11 were predicted to be regulated by hsa-miR-26b-5p. CONCLUSION: The DEGs, such as AGTR1, CYP3A4 and CYP4A11 may play critical roles in the development of HTN likely via the regulation by hsa-miR-26b-5p and taking part in some pathways.
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spelling pubmed-50698702016-10-24 Identification of potential candidate genes for hypertensive nephropathy based on gene expression profile Chen, Zhi Wu, Hao Wang, Guohua Feng, Ye BMC Nephrol Research Article BACKGROUND: This study was aimed to explore the molecular mechanisms of hypertensive nephropathy (HTN). METHODS: Gene expression profile of GSE37460, which based on 27 healthy living donor samples (HTN group) and 15 hypertensive nephropathy samples (control group), were downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between two groups were identified. STRING database was used to reveal protein-protein interaction (PPI) network of DEGs, followed by the functional enrichment analysis of the PPI network. Additionally, miRNA-DEG regulatory network was constructed to reveal the validated miRNAs targeting the DEGs. RESULTS: In total, 51 up-regulated genes and 140 down-regulated genes were obtained. In the PPI network, cytochrome P450 3A4 (CYP3A4) and angiotensin II receptor type 1 (AGTR1) had a higher degree, and CYP3A4 interacted with CYP4A11. The DEGs in the network were significantly enriched in drug metabolism, focal adhesion and arachidonic acid metabolism. Furthermore, in the miRNA-DEG regulatory network, hsa-miR-335-5p and hsa-miR-26b-5p were the two most outstanding miRNAs. AGTR1, CYP3A4 and CYP4A11 were predicted to be regulated by hsa-miR-26b-5p. CONCLUSION: The DEGs, such as AGTR1, CYP3A4 and CYP4A11 may play critical roles in the development of HTN likely via the regulation by hsa-miR-26b-5p and taking part in some pathways. BioMed Central 2016-10-18 /pmc/articles/PMC5069870/ /pubmed/27756246 http://dx.doi.org/10.1186/s12882-016-0366-8 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Chen, Zhi
Wu, Hao
Wang, Guohua
Feng, Ye
Identification of potential candidate genes for hypertensive nephropathy based on gene expression profile
title Identification of potential candidate genes for hypertensive nephropathy based on gene expression profile
title_full Identification of potential candidate genes for hypertensive nephropathy based on gene expression profile
title_fullStr Identification of potential candidate genes for hypertensive nephropathy based on gene expression profile
title_full_unstemmed Identification of potential candidate genes for hypertensive nephropathy based on gene expression profile
title_short Identification of potential candidate genes for hypertensive nephropathy based on gene expression profile
title_sort identification of potential candidate genes for hypertensive nephropathy based on gene expression profile
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069870/
https://www.ncbi.nlm.nih.gov/pubmed/27756246
http://dx.doi.org/10.1186/s12882-016-0366-8
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