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A novel lncRNA-miRNA-mRNA triple network identifies lncRNA TWF1 as an important regulator of miRNA and gene expression in coronary artery disease
BACKGROUND: Long non-coding RNAs (lncRNAs) are involved in numerous physiological functions. Yet, their mechanisms in coronary artery disease (CAD) are not well understood. METHODS: The expression profile of genes associated to CAD was reannotated into the lncRNA-mRNA biphasic profile. The target mi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555741/ https://www.ncbi.nlm.nih.gov/pubmed/31182968 http://dx.doi.org/10.1186/s12986-019-0366-3 |
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author | Miao, Liu Yin, Rui-Xing Zhang, Qing-Hui Hu, Xi-Jiang Huang, Feng Chen, Wu-Xian Cao, Xiao-Li Wu, Jin-Zhen |
author_facet | Miao, Liu Yin, Rui-Xing Zhang, Qing-Hui Hu, Xi-Jiang Huang, Feng Chen, Wu-Xian Cao, Xiao-Li Wu, Jin-Zhen |
author_sort | Miao, Liu |
collection | PubMed |
description | BACKGROUND: Long non-coding RNAs (lncRNAs) are involved in numerous physiological functions. Yet, their mechanisms in coronary artery disease (CAD) are not well understood. METHODS: The expression profile of genes associated to CAD was reannotated into the lncRNA-mRNA biphasic profile. The target microRNA data were used to design a global CAD triple network. Thereafter, we conducted a functional enrichment analysis and clustering using the triple network from the level of topology analyses. The expression of four non-coding RNAs (ncRNAs) was measured by qRT-PCR and the risk of CAD was calculated by nomogram. The prognostic value of three ncRNAs was evaluated using receiver operating characteristic (ROC) curve. RESULTS: A CAD lncRNA-miRNA-mRNA network was constructed which included 15 mRNAs, 3 miRNAs, 19 edges and one lncRNA. Nomogram showed that four ncRNAs were the risk of CAD. After RT-PCR validation in four ncRNAs between CAD and non-CAD samples, only three ncRNAs had significant meaning for further analysis. ROC curve showed that TWF1 presented an area under curve (AUC) of 0.862, the AUC of hsa -miR-142-3p was 0.856 and hsa -miR126-5p was 0.822. After the pairwise comparison, we found that TWF1 had significant statistical significance (P(TWF1–142) < 0.05 and P(TWF1–126) < 0.01). The results of functional enrichment analysis of interacting gene and microRNA showed that the shared lncRNA TWF1 may be a new factor for CAD. CONCLUSIONS: This investigation on the regulatory networks of lncRNA-miRNA-mRNA in CAD suggests that a novel lncRNA, lncRNA TWF1 is a risk factor for CAD, and expands our understanding into the mechanisms involved in the pathogenesis of CAD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12986-019-0366-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6555741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65557412019-06-10 A novel lncRNA-miRNA-mRNA triple network identifies lncRNA TWF1 as an important regulator of miRNA and gene expression in coronary artery disease Miao, Liu Yin, Rui-Xing Zhang, Qing-Hui Hu, Xi-Jiang Huang, Feng Chen, Wu-Xian Cao, Xiao-Li Wu, Jin-Zhen Nutr Metab (Lond) Research BACKGROUND: Long non-coding RNAs (lncRNAs) are involved in numerous physiological functions. Yet, their mechanisms in coronary artery disease (CAD) are not well understood. METHODS: The expression profile of genes associated to CAD was reannotated into the lncRNA-mRNA biphasic profile. The target microRNA data were used to design a global CAD triple network. Thereafter, we conducted a functional enrichment analysis and clustering using the triple network from the level of topology analyses. The expression of four non-coding RNAs (ncRNAs) was measured by qRT-PCR and the risk of CAD was calculated by nomogram. The prognostic value of three ncRNAs was evaluated using receiver operating characteristic (ROC) curve. RESULTS: A CAD lncRNA-miRNA-mRNA network was constructed which included 15 mRNAs, 3 miRNAs, 19 edges and one lncRNA. Nomogram showed that four ncRNAs were the risk of CAD. After RT-PCR validation in four ncRNAs between CAD and non-CAD samples, only three ncRNAs had significant meaning for further analysis. ROC curve showed that TWF1 presented an area under curve (AUC) of 0.862, the AUC of hsa -miR-142-3p was 0.856 and hsa -miR126-5p was 0.822. After the pairwise comparison, we found that TWF1 had significant statistical significance (P(TWF1–142) < 0.05 and P(TWF1–126) < 0.01). The results of functional enrichment analysis of interacting gene and microRNA showed that the shared lncRNA TWF1 may be a new factor for CAD. CONCLUSIONS: This investigation on the regulatory networks of lncRNA-miRNA-mRNA in CAD suggests that a novel lncRNA, lncRNA TWF1 is a risk factor for CAD, and expands our understanding into the mechanisms involved in the pathogenesis of CAD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12986-019-0366-3) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-06 /pmc/articles/PMC6555741/ /pubmed/31182968 http://dx.doi.org/10.1186/s12986-019-0366-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Miao, Liu Yin, Rui-Xing Zhang, Qing-Hui Hu, Xi-Jiang Huang, Feng Chen, Wu-Xian Cao, Xiao-Li Wu, Jin-Zhen A novel lncRNA-miRNA-mRNA triple network identifies lncRNA TWF1 as an important regulator of miRNA and gene expression in coronary artery disease |
title | A novel lncRNA-miRNA-mRNA triple network identifies lncRNA TWF1 as an important regulator of miRNA and gene expression in coronary artery disease |
title_full | A novel lncRNA-miRNA-mRNA triple network identifies lncRNA TWF1 as an important regulator of miRNA and gene expression in coronary artery disease |
title_fullStr | A novel lncRNA-miRNA-mRNA triple network identifies lncRNA TWF1 as an important regulator of miRNA and gene expression in coronary artery disease |
title_full_unstemmed | A novel lncRNA-miRNA-mRNA triple network identifies lncRNA TWF1 as an important regulator of miRNA and gene expression in coronary artery disease |
title_short | A novel lncRNA-miRNA-mRNA triple network identifies lncRNA TWF1 as an important regulator of miRNA and gene expression in coronary artery disease |
title_sort | novel lncrna-mirna-mrna triple network identifies lncrna twf1 as an important regulator of mirna and gene expression in coronary artery disease |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555741/ https://www.ncbi.nlm.nih.gov/pubmed/31182968 http://dx.doi.org/10.1186/s12986-019-0366-3 |
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