Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
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
_version_ 1783582837848408064
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
work_keys_str_mv AT chenchen identificationofcandidatebiomarkersforsaltsensitivityofbloodpressurebyintegratedbioinformaticsanalysis
AT liuguanzhi identificationofcandidatebiomarkersforsaltsensitivityofbloodpressurebyintegratedbioinformaticsanalysis
AT liaoyueyuan identificationofcandidatebiomarkersforsaltsensitivityofbloodpressurebyintegratedbioinformaticsanalysis
AT chuchao identificationofcandidatebiomarkersforsaltsensitivityofbloodpressurebyintegratedbioinformaticsanalysis
AT zhengwenling identificationofcandidatebiomarkersforsaltsensitivityofbloodpressurebyintegratedbioinformaticsanalysis
AT wangyang identificationofcandidatebiomarkersforsaltsensitivityofbloodpressurebyintegratedbioinformaticsanalysis
AT hujiawen identificationofcandidatebiomarkersforsaltsensitivityofbloodpressurebyintegratedbioinformaticsanalysis
AT maqiong identificationofcandidatebiomarkersforsaltsensitivityofbloodpressurebyintegratedbioinformaticsanalysis
AT wangkeke identificationofcandidatebiomarkersforsaltsensitivityofbloodpressurebyintegratedbioinformaticsanalysis
AT yanyu identificationofcandidatebiomarkersforsaltsensitivityofbloodpressurebyintegratedbioinformaticsanalysis
AT yuanyue identificationofcandidatebiomarkersforsaltsensitivityofbloodpressurebyintegratedbioinformaticsanalysis
AT mujianjun identificationofcandidatebiomarkersforsaltsensitivityofbloodpressurebyintegratedbioinformaticsanalysis