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Identification and Validation of Dilated Cardiomyopathy-Related Genes via Bioinformatics Analysis
PURPOSE: Dilated cardiomyopathy (DCM) is a type of cardiomyopathy that can easily cause heart failure and has a high mortality rate. Therefore, there is an urgent need to study the underlying mechanism of action of dilated cardiomyopathy. In the present study, we aimed to explore potential miRNA–mRN...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994656/ https://www.ncbi.nlm.nih.gov/pubmed/35411175 http://dx.doi.org/10.2147/IJGM.S350954 |
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author | Wang, Li-Jun Qiu, Bai-Quan Yuan, Ming-Ming Zou, Hua-Xi Gong, Cheng-Wu Huang, Huang Lai, Song-Qing Liu, Ji-Chun |
author_facet | Wang, Li-Jun Qiu, Bai-Quan Yuan, Ming-Ming Zou, Hua-Xi Gong, Cheng-Wu Huang, Huang Lai, Song-Qing Liu, Ji-Chun |
author_sort | Wang, Li-Jun |
collection | PubMed |
description | PURPOSE: Dilated cardiomyopathy (DCM) is a type of cardiomyopathy that can easily cause heart failure and has a high mortality rate. Therefore, there is an urgent need to study the underlying mechanism of action of dilated cardiomyopathy. In the present study, we aimed to explore potential miRNA–mRNA pairs and drugs related to DCM. METHODS: The Microarray data were collected from the Gene Expression Omnibus (GEO) database. Bioinformatics analysis differentially expressed miRNAs and mRNAs in each microarray were obtained. The target genes of miRNAs were obtained from the miRWalk 2.0 database, and the intersection of these two gene sets (miRNA target genes and differentially expressed mRNAs in the microarray) was obtained. Pathway and Gene Ontology (GO) enrichment analyses were performed in the KOBAS database. Cytoscape software was used to construct the miRNA–mRNA network, and the final hub genes were obtained. Furthermore, we predicted several candidate drugs related to hub genes using DSigDB database. To confirm the abnormal expression of hub genes, qRT-PCR was performed. RESULTS: In total, eight differentially expressed miRNAs and 92 differentially expressed mRNAs were identified. In addition, 47 differentially expressed miRNA target genes were identified. According to the analysis results of the miRNA-mRNA network, we identified hsa-miR-551b-3p, hsa-miR-770-5p, hsa-miR-363-3p, PIK3R1, DDIT4, and CXCR4 as hub genes in DCM. Several candidate drugs, which are related to the hug genes, were identified. CONCLUSION: In conclusion, in our study, we identified several hub genes that may be involved in the pathogenesis of DCM. Several drugs related to these hub genes may be used as clinical therapeutic candidates. |
format | Online Article Text |
id | pubmed-8994656 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-89946562022-04-10 Identification and Validation of Dilated Cardiomyopathy-Related Genes via Bioinformatics Analysis Wang, Li-Jun Qiu, Bai-Quan Yuan, Ming-Ming Zou, Hua-Xi Gong, Cheng-Wu Huang, Huang Lai, Song-Qing Liu, Ji-Chun Int J Gen Med Original Research PURPOSE: Dilated cardiomyopathy (DCM) is a type of cardiomyopathy that can easily cause heart failure and has a high mortality rate. Therefore, there is an urgent need to study the underlying mechanism of action of dilated cardiomyopathy. In the present study, we aimed to explore potential miRNA–mRNA pairs and drugs related to DCM. METHODS: The Microarray data were collected from the Gene Expression Omnibus (GEO) database. Bioinformatics analysis differentially expressed miRNAs and mRNAs in each microarray were obtained. The target genes of miRNAs were obtained from the miRWalk 2.0 database, and the intersection of these two gene sets (miRNA target genes and differentially expressed mRNAs in the microarray) was obtained. Pathway and Gene Ontology (GO) enrichment analyses were performed in the KOBAS database. Cytoscape software was used to construct the miRNA–mRNA network, and the final hub genes were obtained. Furthermore, we predicted several candidate drugs related to hub genes using DSigDB database. To confirm the abnormal expression of hub genes, qRT-PCR was performed. RESULTS: In total, eight differentially expressed miRNAs and 92 differentially expressed mRNAs were identified. In addition, 47 differentially expressed miRNA target genes were identified. According to the analysis results of the miRNA-mRNA network, we identified hsa-miR-551b-3p, hsa-miR-770-5p, hsa-miR-363-3p, PIK3R1, DDIT4, and CXCR4 as hub genes in DCM. Several candidate drugs, which are related to the hug genes, were identified. CONCLUSION: In conclusion, in our study, we identified several hub genes that may be involved in the pathogenesis of DCM. Several drugs related to these hub genes may be used as clinical therapeutic candidates. Dove 2022-04-05 /pmc/articles/PMC8994656/ /pubmed/35411175 http://dx.doi.org/10.2147/IJGM.S350954 Text en © 2022 Wang et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Wang, Li-Jun Qiu, Bai-Quan Yuan, Ming-Ming Zou, Hua-Xi Gong, Cheng-Wu Huang, Huang Lai, Song-Qing Liu, Ji-Chun Identification and Validation of Dilated Cardiomyopathy-Related Genes via Bioinformatics Analysis |
title | Identification and Validation of Dilated Cardiomyopathy-Related Genes via Bioinformatics Analysis |
title_full | Identification and Validation of Dilated Cardiomyopathy-Related Genes via Bioinformatics Analysis |
title_fullStr | Identification and Validation of Dilated Cardiomyopathy-Related Genes via Bioinformatics Analysis |
title_full_unstemmed | Identification and Validation of Dilated Cardiomyopathy-Related Genes via Bioinformatics Analysis |
title_short | Identification and Validation of Dilated Cardiomyopathy-Related Genes via Bioinformatics Analysis |
title_sort | identification and validation of dilated cardiomyopathy-related genes via bioinformatics analysis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994656/ https://www.ncbi.nlm.nih.gov/pubmed/35411175 http://dx.doi.org/10.2147/IJGM.S350954 |
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