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...

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Published inFrontiers in genetics Vol. 11; p. 988
Main Authors 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
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Abstract 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.
AbstractList 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.
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.
Author Wang, Yang
Chen, Chen
Chu, Chao
Zheng, Wen-Ling
Ma, Qiong
Yan, Yu
Hu, Jia-Wen
Liao, Yue-Yuan
Liu, Guan-Zhi
Wang, Ke-Ke
Yuan, Yue
Mu, Jian-Jun
AuthorAffiliation 1 Department of Cardiology, The First Affiliated Hospital of Medical School, Xi’an Jiaotong University , Xi’an , China
4 Bone and Joint Surgery Center, The Second Affiliated Hospital of Xi’an Jiaotong University , Xi’an , China
2 Key Laboratory of Molecular Cardiology of Shaanxi Province , Xi’an , China
3 Key Laboratory of Environment and Genes Related to Diseases, Xi’an Jiaotong University, Ministry of Education , Xi’an , China
AuthorAffiliation_xml – name: 2 Key Laboratory of Molecular Cardiology of Shaanxi Province , Xi’an , China
– name: 3 Key Laboratory of Environment and Genes Related to Diseases, Xi’an Jiaotong University, Ministry of Education , Xi’an , China
– name: 4 Bone and Joint Surgery Center, The Second Affiliated Hospital of Xi’an Jiaotong University , Xi’an , China
– name: 1 Department of Cardiology, The First Affiliated Hospital of Medical School, Xi’an Jiaotong University , Xi’an , China
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This article was submitted to RNA, a section of the journal Frontiers in Genetics
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Snippet 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...
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SubjectTerms bioinformatics
biomarker
circRNA
Genetics
hub gene
salt sensitivity of blood pressure
weighted gene coexpression network analysis
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Title Identification of Candidate Biomarkers for Salt Sensitivity of Blood Pressure by Integrated Bioinformatics Analysis
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https://pubmed.ncbi.nlm.nih.gov/PMC7494969
https://doaj.org/article/8ddc99798d044dd8a7fee2e792b43927
Volume 11
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