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Identification of Candidate Biomarkers for Salt Sensitivity of Blood Pressure by Integrated Bioinformatics Analysis
In the current study, we aimed to identify potential biomarkers for salt sensitivity of blood pressure (SSBP), which may provide a novel insight into the pathogenic mechanisms of salt-sensitive hypertension. Firstly, we conducted weighted gene coexpression network analysis (WGCNA) and selected a gen...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494969/ https://www.ncbi.nlm.nih.gov/pubmed/33101363 http://dx.doi.org/10.3389/fgene.2020.00988 |
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author | Chen, Chen Liu, Guan-Zhi Liao, Yue-Yuan Chu, Chao Zheng, Wen-Ling Wang, Yang Hu, Jia-Wen Ma, Qiong Wang, Ke-Ke Yan, Yu Yuan, Yue Mu, Jian-Jun |
author_facet | Chen, Chen Liu, Guan-Zhi Liao, Yue-Yuan Chu, Chao Zheng, Wen-Ling Wang, Yang Hu, Jia-Wen Ma, Qiong Wang, Ke-Ke Yan, Yu Yuan, Yue Mu, Jian-Jun |
author_sort | Chen, Chen |
collection | PubMed |
description | In the current study, we aimed to identify potential biomarkers for salt sensitivity of blood pressure (SSBP), which may provide a novel insight into the pathogenic mechanisms of salt-sensitive hypertension. Firstly, we conducted weighted gene coexpression network analysis (WGCNA) and selected a gene module and 60 hub genes significantly correlated to SSBP. Then, GO function and KEGG signaling pathway enrichment analysis and protein–protein interaction (PPI) network analysis were performed. Furthermore, we identified a five-gene signature with high connectivity degree in the PPI network and high AUC of ROC curves, which may have high diagnosis value for SSBP. Moreover, through combining two gene screening methods, we identified 23 differentially expressed circRNAs and selected the top 5% circRNAs (1 circRNA) with the highest connectivity degree in the coexpression network as hub circRNA highly associated with SSBP. Finally, we carried out RT-qPCR to validate the expression of five hub genes, and our results showed that the expression of HECTD1 (P = 0.017), SRSF5 (P = 0.003), SRSF1 (P = 0.006), HERC2 (P = 0.004), and TNPO1 (P = 0.002) was significantly upregulated in the renal tissue in salt-sensitive rats compared to salt-resistant rats, indicating that these five hub genes can serve as potential biomarkers for SSBP. |
format | Online Article Text |
id | pubmed-7494969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74949692020-10-22 Identification of Candidate Biomarkers for Salt Sensitivity of Blood Pressure by Integrated Bioinformatics Analysis Chen, Chen Liu, Guan-Zhi Liao, Yue-Yuan Chu, Chao Zheng, Wen-Ling Wang, Yang Hu, Jia-Wen Ma, Qiong Wang, Ke-Ke Yan, Yu Yuan, Yue Mu, Jian-Jun Front Genet Genetics In the current study, we aimed to identify potential biomarkers for salt sensitivity of blood pressure (SSBP), which may provide a novel insight into the pathogenic mechanisms of salt-sensitive hypertension. Firstly, we conducted weighted gene coexpression network analysis (WGCNA) and selected a gene module and 60 hub genes significantly correlated to SSBP. Then, GO function and KEGG signaling pathway enrichment analysis and protein–protein interaction (PPI) network analysis were performed. Furthermore, we identified a five-gene signature with high connectivity degree in the PPI network and high AUC of ROC curves, which may have high diagnosis value for SSBP. Moreover, through combining two gene screening methods, we identified 23 differentially expressed circRNAs and selected the top 5% circRNAs (1 circRNA) with the highest connectivity degree in the coexpression network as hub circRNA highly associated with SSBP. Finally, we carried out RT-qPCR to validate the expression of five hub genes, and our results showed that the expression of HECTD1 (P = 0.017), SRSF5 (P = 0.003), SRSF1 (P = 0.006), HERC2 (P = 0.004), and TNPO1 (P = 0.002) was significantly upregulated in the renal tissue in salt-sensitive rats compared to salt-resistant rats, indicating that these five hub genes can serve as potential biomarkers for SSBP. Frontiers Media S.A. 2020-09-03 /pmc/articles/PMC7494969/ /pubmed/33101363 http://dx.doi.org/10.3389/fgene.2020.00988 Text en Copyright © 2020 Chen, Liu, Liao, Chu, Zheng, Wang, Hu, Ma, Wang, Yan, Yuan and Mu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Chen, Chen Liu, Guan-Zhi Liao, Yue-Yuan Chu, Chao Zheng, Wen-Ling Wang, Yang Hu, Jia-Wen Ma, Qiong Wang, Ke-Ke Yan, Yu Yuan, Yue Mu, Jian-Jun Identification of Candidate Biomarkers for Salt Sensitivity of Blood Pressure by Integrated Bioinformatics Analysis |
title | Identification of Candidate Biomarkers for Salt Sensitivity of Blood Pressure by Integrated Bioinformatics Analysis |
title_full | Identification of Candidate Biomarkers for Salt Sensitivity of Blood Pressure by Integrated Bioinformatics Analysis |
title_fullStr | Identification of Candidate Biomarkers for Salt Sensitivity of Blood Pressure by Integrated Bioinformatics Analysis |
title_full_unstemmed | Identification of Candidate Biomarkers for Salt Sensitivity of Blood Pressure by Integrated Bioinformatics Analysis |
title_short | Identification of Candidate Biomarkers for Salt Sensitivity of Blood Pressure by Integrated Bioinformatics Analysis |
title_sort | identification of candidate biomarkers for salt sensitivity of blood pressure by integrated bioinformatics analysis |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494969/ https://www.ncbi.nlm.nih.gov/pubmed/33101363 http://dx.doi.org/10.3389/fgene.2020.00988 |
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