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The diagnostic values of circulating miRNAs for hypertension and bioinformatics analysis
Few studies have compared the performances of those reported miRNAs as biomarkers for hypertension in a same cohort, we aimed to comprehensively examine the performances of those reported miRNAs as biomarkers for hypertension and identify the genes and pathways targetted by these miRNAs. Serum sampl...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Portland Press Ltd.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6147777/ https://www.ncbi.nlm.nih.gov/pubmed/29961674 http://dx.doi.org/10.1042/BSR20180525 |
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author | Zhang, Xiaoyi Wang, Xiaoyan Wu, Jian Peng, Juan Deng, Xin Shen, Yi Yang, Chunjie Yuan, Jie Zou, Yunzeng |
author_facet | Zhang, Xiaoyi Wang, Xiaoyan Wu, Jian Peng, Juan Deng, Xin Shen, Yi Yang, Chunjie Yuan, Jie Zou, Yunzeng |
author_sort | Zhang, Xiaoyi |
collection | PubMed |
description | Few studies have compared the performances of those reported miRNAs as biomarkers for hypertension in a same cohort, we aimed to comprehensively examine the performances of those reported miRNAs as biomarkers for hypertension and identify the genes and pathways targetted by these miRNAs. Serum samples were collected from patients hospitalized for hypertension in Zhongshan Hospital. Gene expressions of 25 miRNAs were compared between hypertension and normal groups. Receiver operating characteristic (ROC) curves were used to evaluate the accuracy of those miRNAs as biomarkers for hypertension. miRWALK2.0 and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed to predict the target genes and pathways of selected miRNAs. A total of 164 participants were enrolled, amongst which 53 were patients with hypertension, 111 were normal population. MiR-122-5p (area under curve (AUC): 0.750), miR-199a-3p (AUC: 0.744), miR-208a-3p (AUC: 0.743), miR-423-5p (AUC: 0.740), and miR-223-5p (AUC: 0.718) showed better performance than others, and the best performance was the combination of miR-199a-3p, miR-208a-3p, miR-122-5p, and miR-223-3p (AUC: 0.80). Pathway analysis revealed that 94 pathways enriched with genes targetted by miR-199a-3p, miR-208a-3p, miR-122-5p, miR-223-5p. FoxO signaling was enriched with genes targetted by all the three miRNAs (miR-199a-3p, miR-208a-3p, miR-122-5p). The combination of miR-199a-3p, miR-208a-3p, miR-122-5p, and miR-223-3p has a good diagnostic performance for hypertension, and multitudes of possible mechanisms/pathways through which dysregulation of these miRNAs may impact risk of hypertension. |
format | Online Article Text |
id | pubmed-6147777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Portland Press Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-61477772018-09-25 The diagnostic values of circulating miRNAs for hypertension and bioinformatics analysis Zhang, Xiaoyi Wang, Xiaoyan Wu, Jian Peng, Juan Deng, Xin Shen, Yi Yang, Chunjie Yuan, Jie Zou, Yunzeng Biosci Rep Research Articles Few studies have compared the performances of those reported miRNAs as biomarkers for hypertension in a same cohort, we aimed to comprehensively examine the performances of those reported miRNAs as biomarkers for hypertension and identify the genes and pathways targetted by these miRNAs. Serum samples were collected from patients hospitalized for hypertension in Zhongshan Hospital. Gene expressions of 25 miRNAs were compared between hypertension and normal groups. Receiver operating characteristic (ROC) curves were used to evaluate the accuracy of those miRNAs as biomarkers for hypertension. miRWALK2.0 and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed to predict the target genes and pathways of selected miRNAs. A total of 164 participants were enrolled, amongst which 53 were patients with hypertension, 111 were normal population. MiR-122-5p (area under curve (AUC): 0.750), miR-199a-3p (AUC: 0.744), miR-208a-3p (AUC: 0.743), miR-423-5p (AUC: 0.740), and miR-223-5p (AUC: 0.718) showed better performance than others, and the best performance was the combination of miR-199a-3p, miR-208a-3p, miR-122-5p, and miR-223-3p (AUC: 0.80). Pathway analysis revealed that 94 pathways enriched with genes targetted by miR-199a-3p, miR-208a-3p, miR-122-5p, miR-223-5p. FoxO signaling was enriched with genes targetted by all the three miRNAs (miR-199a-3p, miR-208a-3p, miR-122-5p). The combination of miR-199a-3p, miR-208a-3p, miR-122-5p, and miR-223-3p has a good diagnostic performance for hypertension, and multitudes of possible mechanisms/pathways through which dysregulation of these miRNAs may impact risk of hypertension. Portland Press Ltd. 2018-08-29 /pmc/articles/PMC6147777/ /pubmed/29961674 http://dx.doi.org/10.1042/BSR20180525 Text en © 2018 The Author(s). http://creativecommons.org/licenses/by/4.0/This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Articles Zhang, Xiaoyi Wang, Xiaoyan Wu, Jian Peng, Juan Deng, Xin Shen, Yi Yang, Chunjie Yuan, Jie Zou, Yunzeng The diagnostic values of circulating miRNAs for hypertension and bioinformatics analysis |
title | The diagnostic values of circulating miRNAs for hypertension and bioinformatics analysis |
title_full | The diagnostic values of circulating miRNAs for hypertension and bioinformatics analysis |
title_fullStr | The diagnostic values of circulating miRNAs for hypertension and bioinformatics analysis |
title_full_unstemmed | The diagnostic values of circulating miRNAs for hypertension and bioinformatics analysis |
title_short | The diagnostic values of circulating miRNAs for hypertension and bioinformatics analysis |
title_sort | diagnostic values of circulating mirnas for hypertension and bioinformatics analysis |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6147777/ https://www.ncbi.nlm.nih.gov/pubmed/29961674 http://dx.doi.org/10.1042/BSR20180525 |
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