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Identification of Potential Biomarkers for CAD Using Integrated Expression and Methylation Data
DNA methylation plays an essential role in the pathogenesis of coronary artery disease (CAD) through regulating mRNA expressions. This study aimed to identify hub genes regulated by DNA methylation as biomarkers of CAD. Gene expression and methylation datasets of peripheral blood leukocytes (PBLs) o...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7509170/ https://www.ncbi.nlm.nih.gov/pubmed/33033488 http://dx.doi.org/10.3389/fgene.2020.00778 |
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author | Zhang, Xiaokang Xiang, Yang He, Dingdong Liang, Bin Wang, Chen Luo, Jing Zheng, Fang |
author_facet | Zhang, Xiaokang Xiang, Yang He, Dingdong Liang, Bin Wang, Chen Luo, Jing Zheng, Fang |
author_sort | Zhang, Xiaokang |
collection | PubMed |
description | DNA methylation plays an essential role in the pathogenesis of coronary artery disease (CAD) through regulating mRNA expressions. This study aimed to identify hub genes regulated by DNA methylation as biomarkers of CAD. Gene expression and methylation datasets of peripheral blood leukocytes (PBLs) of CAD were downloaded from the Gene Expression Omnibus (GEO) database. Subsequently, multiple computational approaches were performed to analyze the regulatory networks and to recognize hub genes. Finally, top hub genes were verified in a case-control study, based on their differential expressions and methylation levels between CAD cases and controls. In total, 535 differentially expressed-methylated genes (DEMGs) were identified and partitioned into 4 subgroups. TSS200 and 5′UTR were confirmed as high enrichment areas of differentially methylated CpGs sites (DMCs). The function of DEMGs is enriched in processes of histone H3-K27 methylation, regulation of post-transcription and DNA-directed RNA polymerase activity. Pathway enrichment showed DEMGs participated in the VEGF signaling pathway, adipocytokine signaling pathway, and PI3K-Akt signaling pathway. Besides, expressions of hub genes fibronectin 1 (FN1), phosphatase (PTEN), and tensin homolog and RNA polymerase III subunit A (POLR3A) were discordantly expressed between CAD patients and controls and related with DNA methylation levels. In conclusion, our study identified the potential biomarkers of PBLs for CAD, in which FN1, PTEN, and POLR3A were confirmed. |
format | Online Article Text |
id | pubmed-7509170 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75091702020-10-07 Identification of Potential Biomarkers for CAD Using Integrated Expression and Methylation Data Zhang, Xiaokang Xiang, Yang He, Dingdong Liang, Bin Wang, Chen Luo, Jing Zheng, Fang Front Genet Genetics DNA methylation plays an essential role in the pathogenesis of coronary artery disease (CAD) through regulating mRNA expressions. This study aimed to identify hub genes regulated by DNA methylation as biomarkers of CAD. Gene expression and methylation datasets of peripheral blood leukocytes (PBLs) of CAD were downloaded from the Gene Expression Omnibus (GEO) database. Subsequently, multiple computational approaches were performed to analyze the regulatory networks and to recognize hub genes. Finally, top hub genes were verified in a case-control study, based on their differential expressions and methylation levels between CAD cases and controls. In total, 535 differentially expressed-methylated genes (DEMGs) were identified and partitioned into 4 subgroups. TSS200 and 5′UTR were confirmed as high enrichment areas of differentially methylated CpGs sites (DMCs). The function of DEMGs is enriched in processes of histone H3-K27 methylation, regulation of post-transcription and DNA-directed RNA polymerase activity. Pathway enrichment showed DEMGs participated in the VEGF signaling pathway, adipocytokine signaling pathway, and PI3K-Akt signaling pathway. Besides, expressions of hub genes fibronectin 1 (FN1), phosphatase (PTEN), and tensin homolog and RNA polymerase III subunit A (POLR3A) were discordantly expressed between CAD patients and controls and related with DNA methylation levels. In conclusion, our study identified the potential biomarkers of PBLs for CAD, in which FN1, PTEN, and POLR3A were confirmed. Frontiers Media S.A. 2020-09-09 /pmc/articles/PMC7509170/ /pubmed/33033488 http://dx.doi.org/10.3389/fgene.2020.00778 Text en Copyright © 2020 Zhang, Xiang, He, Liang, Wang, Luo and Zheng. 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 Zhang, Xiaokang Xiang, Yang He, Dingdong Liang, Bin Wang, Chen Luo, Jing Zheng, Fang Identification of Potential Biomarkers for CAD Using Integrated Expression and Methylation Data |
title | Identification of Potential Biomarkers for CAD Using Integrated Expression and Methylation Data |
title_full | Identification of Potential Biomarkers for CAD Using Integrated Expression and Methylation Data |
title_fullStr | Identification of Potential Biomarkers for CAD Using Integrated Expression and Methylation Data |
title_full_unstemmed | Identification of Potential Biomarkers for CAD Using Integrated Expression and Methylation Data |
title_short | Identification of Potential Biomarkers for CAD Using Integrated Expression and Methylation Data |
title_sort | identification of potential biomarkers for cad using integrated expression and methylation data |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7509170/ https://www.ncbi.nlm.nih.gov/pubmed/33033488 http://dx.doi.org/10.3389/fgene.2020.00778 |
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