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Integrated analysis of gene expression changes associated with coronary artery disease
BACKGROUND: This study investigated the pathways and genes involved in coronary artery disease (CAD) and the associated mechanisms. METHODS: Two array data sets of GSE19339 and GSE56885 were downloaded. The limma package was used to analyze the differentially expressed genes (DEGs) in normal and CAD...
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/PMC6454774/ https://www.ncbi.nlm.nih.gov/pubmed/30961613 http://dx.doi.org/10.1186/s12944-019-1032-5 |
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author | Miao, Liu Yin, Rui-Xing Huang, Feng Yang, Shuo Chen, Wu-Xian Wu, Jin-Zhen |
author_facet | Miao, Liu Yin, Rui-Xing Huang, Feng Yang, Shuo Chen, Wu-Xian Wu, Jin-Zhen |
author_sort | Miao, Liu |
collection | PubMed |
description | BACKGROUND: This study investigated the pathways and genes involved in coronary artery disease (CAD) and the associated mechanisms. METHODS: Two array data sets of GSE19339 and GSE56885 were downloaded. The limma package was used to analyze the differentially expressed genes (DEGs) in normal and CAD specimens. Examination of DEGs through Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment and Gene Ontology annotation was achieved by Database for Annotation, Visualization and Integrated Discovery (DAVID). The Cytoscape software facilitated the establishment of the protein-protein interaction (PPI) network and Molecular Complex Detection (MCODE) was performed for the significant modules. RESULTS: We identified 413 DEGs (291 up-regulated and 122 down-regulated). Approximately 256 biological processes, only 1 cellular component, and 21 molecular functions were identified by GO analysis and 10 pathways were enriched by KEGG. Moreover, 264 protein pairs and 64 nodes were visualized by the PPI network. After the MCODE analysis, the top 4 high degree genes, including interleukin 1 beta (IL1B, degree = 29), intercellular adhesion molecule 1 (ICAM1, degree = 25), Jun proto-oncogene (JUN, degree = 23) and C-C motif chemokine ligand 2 (CCL2, degree = 20) had been identified to validate in RT-PCR and Cox proportional hazards regression between CAD and normals. CONCLUSIONS: The relative expression of IL1B, ICAM1 and CCL2 was higher in CAD than in normal controls (P < 0.05–0.001), but only IL1B and CCL2 genes were confirmed after testing the gene expression in blood and/or analyzing in Cox proportional hazards regression (P < 0.05–0.001), and the proper mechanism may involve in the AGE-RAGE signaling pathway, fluid shear stress, the tumor necrosis factor (TNF) and cytokine-cytokine receptor interaction. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12944-019-1032-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6454774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64547742019-04-19 Integrated analysis of gene expression changes associated with coronary artery disease Miao, Liu Yin, Rui-Xing Huang, Feng Yang, Shuo Chen, Wu-Xian Wu, Jin-Zhen Lipids Health Dis Research BACKGROUND: This study investigated the pathways and genes involved in coronary artery disease (CAD) and the associated mechanisms. METHODS: Two array data sets of GSE19339 and GSE56885 were downloaded. The limma package was used to analyze the differentially expressed genes (DEGs) in normal and CAD specimens. Examination of DEGs through Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment and Gene Ontology annotation was achieved by Database for Annotation, Visualization and Integrated Discovery (DAVID). The Cytoscape software facilitated the establishment of the protein-protein interaction (PPI) network and Molecular Complex Detection (MCODE) was performed for the significant modules. RESULTS: We identified 413 DEGs (291 up-regulated and 122 down-regulated). Approximately 256 biological processes, only 1 cellular component, and 21 molecular functions were identified by GO analysis and 10 pathways were enriched by KEGG. Moreover, 264 protein pairs and 64 nodes were visualized by the PPI network. After the MCODE analysis, the top 4 high degree genes, including interleukin 1 beta (IL1B, degree = 29), intercellular adhesion molecule 1 (ICAM1, degree = 25), Jun proto-oncogene (JUN, degree = 23) and C-C motif chemokine ligand 2 (CCL2, degree = 20) had been identified to validate in RT-PCR and Cox proportional hazards regression between CAD and normals. CONCLUSIONS: The relative expression of IL1B, ICAM1 and CCL2 was higher in CAD than in normal controls (P < 0.05–0.001), but only IL1B and CCL2 genes were confirmed after testing the gene expression in blood and/or analyzing in Cox proportional hazards regression (P < 0.05–0.001), and the proper mechanism may involve in the AGE-RAGE signaling pathway, fluid shear stress, the tumor necrosis factor (TNF) and cytokine-cytokine receptor interaction. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12944-019-1032-5) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-09 /pmc/articles/PMC6454774/ /pubmed/30961613 http://dx.doi.org/10.1186/s12944-019-1032-5 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 Huang, Feng Yang, Shuo Chen, Wu-Xian Wu, Jin-Zhen Integrated analysis of gene expression changes associated with coronary artery disease |
title | Integrated analysis of gene expression changes associated with coronary artery disease |
title_full | Integrated analysis of gene expression changes associated with coronary artery disease |
title_fullStr | Integrated analysis of gene expression changes associated with coronary artery disease |
title_full_unstemmed | Integrated analysis of gene expression changes associated with coronary artery disease |
title_short | Integrated analysis of gene expression changes associated with coronary artery disease |
title_sort | integrated analysis of gene expression changes associated with coronary artery disease |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454774/ https://www.ncbi.nlm.nih.gov/pubmed/30961613 http://dx.doi.org/10.1186/s12944-019-1032-5 |
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