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 in | Frontiers in genetics Vol. 11; p. 988 |
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Main Authors | , , , , , , , , , , , |
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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. |
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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 |
Author_xml | – sequence: 1 givenname: Chen surname: Chen fullname: Chen, Chen – sequence: 2 givenname: Guan-Zhi surname: Liu fullname: Liu, Guan-Zhi – sequence: 3 givenname: Yue-Yuan surname: Liao fullname: Liao, Yue-Yuan – sequence: 4 givenname: Chao surname: Chu fullname: Chu, Chao – sequence: 5 givenname: Wen-Ling surname: Zheng fullname: Zheng, Wen-Ling – sequence: 6 givenname: Yang surname: Wang fullname: Wang, Yang – sequence: 7 givenname: Jia-Wen surname: Hu fullname: Hu, Jia-Wen – sequence: 8 givenname: Qiong surname: Ma fullname: Ma, Qiong – sequence: 9 givenname: Ke-Ke surname: Wang fullname: Wang, Ke-Ke – sequence: 10 givenname: Yu surname: Yan fullname: Yan, Yu – sequence: 11 givenname: Yue surname: Yuan fullname: Yuan, Yue – sequence: 12 givenname: Jian-Jun surname: Mu fullname: Mu, Jian-Jun |
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Cites_doi | 10.1089/omi.2011.0118 10.1016/j.canlet.2015.06.003 10.1186/s12929-019-0595-9 10.1093/ajh/hpx169 10.1038/ki.1994.72 10.1007/s10555-017-9703-z 10.3390/ijms19040927 10.2147/ott.s201310 10.1093/cvr/cvy121 10.1161/01.hyp.37.2.429 10.1161/hypertensionaha.111.00423 10.1016/b978-008055232-3.60393-9 10.1186/s13059-018-1512-3 10.1186/1471-2105-9-559 10.2147/dmso.s188680 10.1016/j.arr.2017.04.004 10.1111/jcmm.14863 10.1016/s0140-6736(97)05189-1 10.1136/bmjopen-2018-023042 10.1161/JAHA.119.013818 10.3945/ajcn.2009.29028 10.1038/s41576-019-0158-7 10.1016/j.bbrc.2009.07.158 10.1038/sj.jhh.1002207 10.1096/fj.201902507r 10.7150/ijbs.26215 10.1186/1471-2105-12-77 10.1161/HYP.0000000000000047 10.1097/00041552-200003000-00007 10.1152/physiolgenomics.00064.2017 10.1016/j.tcb.2019.12.004 10.1111/dom.12677 10.1074/jbc.m111.288928 10.2202/1544-6115.1128 10.1007/s13238-017-0486-3 10.1161/hypertensionaha.107.088310 10.1186/s12943-018-0914-x 10.1097/00004872-198506000-00008 10.1002/9780470015902.a0026311 10.1177/1535370217708978 10.1161/01.hyp.28.5.854 |
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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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StartPage | 988 |
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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