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Identification of biomarkers and pathways in hypertensive nephropathy based on the ceRNA regulatory network
BACKGROUND: Hypertensive nephropathy (HTN) is a kind of renal injury caused by chronic hypertension, which seriously affect people’s life. The purpose of this study was to identify the potential biomarkers of HTN and understand its possible mechanisms. METHODS: The dataset numbered GSE28260 related...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7659166/ https://www.ncbi.nlm.nih.gov/pubmed/33176720 http://dx.doi.org/10.1186/s12882-020-02142-8 |
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author | Wang, Zhen Liu, Zhongjie Yang, Yingxia Kang, Lei |
author_facet | Wang, Zhen Liu, Zhongjie Yang, Yingxia Kang, Lei |
author_sort | Wang, Zhen |
collection | PubMed |
description | BACKGROUND: Hypertensive nephropathy (HTN) is a kind of renal injury caused by chronic hypertension, which seriously affect people’s life. The purpose of this study was to identify the potential biomarkers of HTN and understand its possible mechanisms. METHODS: The dataset numbered GSE28260 related to hypertensive and normotensive was downloaded from NCBI Gene Expression Omnibus. Then, the differentially expressed RNAs (DERs) were screened using R limma package, and functional analyses of DE-mRNA were performed by DAVID. Afterwards, a ceRNA network was established and KEGG pathway was analyzed based on the Gene Set Enrichment Analysis (GSEA) database. Finally, a ceRNA regulatory network directly associated with HTN was proposed. RESULTS: A total of 947 DERs were identified, including 900 DE-mRNAs, 20 DE-lncRNAs and 27 DE-miRNAs. Based on these DE-mRNAs, they were involved in biological processes such as fatty acid beta-oxidation, IRE1-mediated unfolded protein response, and transmembrane transport, and many KEGG pathways like glycine, serine and threonine metabolism, carbon metabolism. Subsequently, lncRNAs KCTD21-AS1, LINC00470 and SNHG14 were found to be hub nodes in the ceRNA regulatory network. KEGG analysis showed that insulin signaling pathway, glycine, serine and threonine metabolism, pathways in cancer, lysosome, and apoptosis was associated with hypertensive. Finally, insulin signaling pathway was screened to directly associate with HTN and was regulated by mRNAs PPP1R3C, PPKAR2B and AKT3, miRNA has-miR-107, and lncRNAs SNHG14, TUG1, ZNF252P-AS1 and MIR503HG. CONCLUSIONS: Insulin signaling pathway was directly associated with HTN, and miRNA has-miR-107 and lncRNAs SNHG14, TUG1, ZNF252P-AS1 and MIR503HG were the biomarkers of HTN. These results would improve our understanding of the occurrence and development of HTN. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-020-02142-8. |
format | Online Article Text |
id | pubmed-7659166 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76591662020-11-13 Identification of biomarkers and pathways in hypertensive nephropathy based on the ceRNA regulatory network Wang, Zhen Liu, Zhongjie Yang, Yingxia Kang, Lei BMC Nephrol Research Article BACKGROUND: Hypertensive nephropathy (HTN) is a kind of renal injury caused by chronic hypertension, which seriously affect people’s life. The purpose of this study was to identify the potential biomarkers of HTN and understand its possible mechanisms. METHODS: The dataset numbered GSE28260 related to hypertensive and normotensive was downloaded from NCBI Gene Expression Omnibus. Then, the differentially expressed RNAs (DERs) were screened using R limma package, and functional analyses of DE-mRNA were performed by DAVID. Afterwards, a ceRNA network was established and KEGG pathway was analyzed based on the Gene Set Enrichment Analysis (GSEA) database. Finally, a ceRNA regulatory network directly associated with HTN was proposed. RESULTS: A total of 947 DERs were identified, including 900 DE-mRNAs, 20 DE-lncRNAs and 27 DE-miRNAs. Based on these DE-mRNAs, they were involved in biological processes such as fatty acid beta-oxidation, IRE1-mediated unfolded protein response, and transmembrane transport, and many KEGG pathways like glycine, serine and threonine metabolism, carbon metabolism. Subsequently, lncRNAs KCTD21-AS1, LINC00470 and SNHG14 were found to be hub nodes in the ceRNA regulatory network. KEGG analysis showed that insulin signaling pathway, glycine, serine and threonine metabolism, pathways in cancer, lysosome, and apoptosis was associated with hypertensive. Finally, insulin signaling pathway was screened to directly associate with HTN and was regulated by mRNAs PPP1R3C, PPKAR2B and AKT3, miRNA has-miR-107, and lncRNAs SNHG14, TUG1, ZNF252P-AS1 and MIR503HG. CONCLUSIONS: Insulin signaling pathway was directly associated with HTN, and miRNA has-miR-107 and lncRNAs SNHG14, TUG1, ZNF252P-AS1 and MIR503HG were the biomarkers of HTN. These results would improve our understanding of the occurrence and development of HTN. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-020-02142-8. BioMed Central 2020-11-11 /pmc/articles/PMC7659166/ /pubmed/33176720 http://dx.doi.org/10.1186/s12882-020-02142-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Article Wang, Zhen Liu, Zhongjie Yang, Yingxia Kang, Lei Identification of biomarkers and pathways in hypertensive nephropathy based on the ceRNA regulatory network |
title | Identification of biomarkers and pathways in hypertensive nephropathy based on the ceRNA regulatory network |
title_full | Identification of biomarkers and pathways in hypertensive nephropathy based on the ceRNA regulatory network |
title_fullStr | Identification of biomarkers and pathways in hypertensive nephropathy based on the ceRNA regulatory network |
title_full_unstemmed | Identification of biomarkers and pathways in hypertensive nephropathy based on the ceRNA regulatory network |
title_short | Identification of biomarkers and pathways in hypertensive nephropathy based on the ceRNA regulatory network |
title_sort | identification of biomarkers and pathways in hypertensive nephropathy based on the cerna regulatory network |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7659166/ https://www.ncbi.nlm.nih.gov/pubmed/33176720 http://dx.doi.org/10.1186/s12882-020-02142-8 |
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