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Identification of key immune-related genes in dilated cardiomyopathy using bioinformatics analysis
Dilated cardiomyopathy (DCM) is characterized by the left ventricular dilatation and impaired myocardial systolic dysfunction with high mortality and morbidity. However, the underlying mechanisms remain elusive. We first identified the differentially expressed genes (DEGs) between the DCM and contro...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9892583/ https://www.ncbi.nlm.nih.gov/pubmed/36725968 http://dx.doi.org/10.1038/s41598-022-26277-w |
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author | Li, Feng Du, Tong-Yue Wu, Li-Da Zhang, Lei Liu, Huan-Huan Zhang, Zhen-Ye Zhang, Jie Zhang, Zhi-Yuan Qian, Ling-Ling Wang, Ru-Xing Hao, Jian-Feng |
author_facet | Li, Feng Du, Tong-Yue Wu, Li-Da Zhang, Lei Liu, Huan-Huan Zhang, Zhen-Ye Zhang, Jie Zhang, Zhi-Yuan Qian, Ling-Ling Wang, Ru-Xing Hao, Jian-Feng |
author_sort | Li, Feng |
collection | PubMed |
description | Dilated cardiomyopathy (DCM) is characterized by the left ventricular dilatation and impaired myocardial systolic dysfunction with high mortality and morbidity. However, the underlying mechanisms remain elusive. We first identified the differentially expressed genes (DEGs) between the DCM and control group using two expression profiles from GSE3585 and GSE84796. Enrichment analysis was conducted to explore the potential mechanisms underlying DCM. A total of four algorithms, including key module of MCODE, degree, maximum neighborhood component (MNC), and maximal clique centrality (MCC), were used to identify the hub genes within Cytoscape. The correlation between hub genes and infiltrated immune cells was evaluated to determine potential immune-related genes. The expression analysis and diagnosis value analysis of potential immune-related genes were performed. Finally, the expression analysis with GSE57338 and relationship analysis with the comparative toxicogenomics database (CTD) were performed to identify the key immune-related genes in DCM. A total of 80 DEGs were screened for DCM. Enrichment analysis revealed that DEGs were involved in the immune-related pathological process. Immune infiltration analysis indicated a potentially abnormal immune response in DCM. Four up-regulated genes (COL1A2, COL3A1, CD53, and POSTN) were identified as potential immune-related genes. Finally, three genes (COL1A2, COL3A1, and POSTN) were determined as the key immune-related genes in DCM via expression analysis with a validation set (GSE57338) and relationship analysis with CTD. Our study suggested that the upregulated COL1A2, COL3A1, and POSTN might be the key immune-related genes for DCM. Further studies are needed to validate the underlying mechanisms. |
format | Online Article Text |
id | pubmed-9892583 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98925832023-02-03 Identification of key immune-related genes in dilated cardiomyopathy using bioinformatics analysis Li, Feng Du, Tong-Yue Wu, Li-Da Zhang, Lei Liu, Huan-Huan Zhang, Zhen-Ye Zhang, Jie Zhang, Zhi-Yuan Qian, Ling-Ling Wang, Ru-Xing Hao, Jian-Feng Sci Rep Article Dilated cardiomyopathy (DCM) is characterized by the left ventricular dilatation and impaired myocardial systolic dysfunction with high mortality and morbidity. However, the underlying mechanisms remain elusive. We first identified the differentially expressed genes (DEGs) between the DCM and control group using two expression profiles from GSE3585 and GSE84796. Enrichment analysis was conducted to explore the potential mechanisms underlying DCM. A total of four algorithms, including key module of MCODE, degree, maximum neighborhood component (MNC), and maximal clique centrality (MCC), were used to identify the hub genes within Cytoscape. The correlation between hub genes and infiltrated immune cells was evaluated to determine potential immune-related genes. The expression analysis and diagnosis value analysis of potential immune-related genes were performed. Finally, the expression analysis with GSE57338 and relationship analysis with the comparative toxicogenomics database (CTD) were performed to identify the key immune-related genes in DCM. A total of 80 DEGs were screened for DCM. Enrichment analysis revealed that DEGs were involved in the immune-related pathological process. Immune infiltration analysis indicated a potentially abnormal immune response in DCM. Four up-regulated genes (COL1A2, COL3A1, CD53, and POSTN) were identified as potential immune-related genes. Finally, three genes (COL1A2, COL3A1, and POSTN) were determined as the key immune-related genes in DCM via expression analysis with a validation set (GSE57338) and relationship analysis with CTD. Our study suggested that the upregulated COL1A2, COL3A1, and POSTN might be the key immune-related genes for DCM. Further studies are needed to validate the underlying mechanisms. Nature Publishing Group UK 2023-02-01 /pmc/articles/PMC9892583/ /pubmed/36725968 http://dx.doi.org/10.1038/s41598-022-26277-w Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Li, Feng Du, Tong-Yue Wu, Li-Da Zhang, Lei Liu, Huan-Huan Zhang, Zhen-Ye Zhang, Jie Zhang, Zhi-Yuan Qian, Ling-Ling Wang, Ru-Xing Hao, Jian-Feng Identification of key immune-related genes in dilated cardiomyopathy using bioinformatics analysis |
title | Identification of key immune-related genes in dilated cardiomyopathy using bioinformatics analysis |
title_full | Identification of key immune-related genes in dilated cardiomyopathy using bioinformatics analysis |
title_fullStr | Identification of key immune-related genes in dilated cardiomyopathy using bioinformatics analysis |
title_full_unstemmed | Identification of key immune-related genes in dilated cardiomyopathy using bioinformatics analysis |
title_short | Identification of key immune-related genes in dilated cardiomyopathy using bioinformatics analysis |
title_sort | identification of key immune-related genes in dilated cardiomyopathy using bioinformatics analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9892583/ https://www.ncbi.nlm.nih.gov/pubmed/36725968 http://dx.doi.org/10.1038/s41598-022-26277-w |
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