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Integrated bioinformatics analysis for identifying key genes and pathways in female and male patients with dilated cardiomyopathy
Dilated cardiomyopathy (DCM) is a common cause of heart failure, and males are more likely to suffer from DCM than females. This research aimed at exploring possible DCM-associated genes and their latent regulatory effects in female and male patients. WGCNA analysis found that in the yellow module,...
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/PMC10238547/ https://www.ncbi.nlm.nih.gov/pubmed/37268658 http://dx.doi.org/10.1038/s41598-023-36117-0 |
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author | Zhang, Min Wang, Xinzhou Chen, Wenbo Liu, Wei Xin, Jile Yang, Debao Zhang, Zhongyuan Zheng, Xiaoke |
author_facet | Zhang, Min Wang, Xinzhou Chen, Wenbo Liu, Wei Xin, Jile Yang, Debao Zhang, Zhongyuan Zheng, Xiaoke |
author_sort | Zhang, Min |
collection | PubMed |
description | Dilated cardiomyopathy (DCM) is a common cause of heart failure, and males are more likely to suffer from DCM than females. This research aimed at exploring possible DCM-associated genes and their latent regulatory effects in female and male patients. WGCNA analysis found that in the yellow module, 341 and 367 key DEGs were identified in females and males, respectively. A total of 22 hub genes in females and 17 hub genes in males were identified from the PPI networks of the key DEGs based on Metascape database. And twelve and eight potential TFs of the key DEGs were also identified in females and males, respectively. Eight miRNAs of 15 key DEGs were screened in both females and males, which may be differentially expressed in females and males. Dual-luciferase reporter assay demonstrated that miR-21-5P could directly target the key gene MATN2. Furthermore, Sex differences in KEGG pathways were identified. Both KOBAS and GSEA analysis identified 19 significantly enriched pathways related to immune response in both females and males, and the TGF-β signaling pathway was exclusively identified in males. Network pharmacology analysis revealed that seven key DEGs were potential targets for the treatment of DCM, of which the OLR1 gene was only identified in males, the expression levels of the seven genes were verified by RT-PCR. The above results could offer a novel understanding of sex differences in key genes and pathways in DCM progression. |
format | Online Article Text |
id | pubmed-10238547 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102385472023-06-04 Integrated bioinformatics analysis for identifying key genes and pathways in female and male patients with dilated cardiomyopathy Zhang, Min Wang, Xinzhou Chen, Wenbo Liu, Wei Xin, Jile Yang, Debao Zhang, Zhongyuan Zheng, Xiaoke Sci Rep Article Dilated cardiomyopathy (DCM) is a common cause of heart failure, and males are more likely to suffer from DCM than females. This research aimed at exploring possible DCM-associated genes and their latent regulatory effects in female and male patients. WGCNA analysis found that in the yellow module, 341 and 367 key DEGs were identified in females and males, respectively. A total of 22 hub genes in females and 17 hub genes in males were identified from the PPI networks of the key DEGs based on Metascape database. And twelve and eight potential TFs of the key DEGs were also identified in females and males, respectively. Eight miRNAs of 15 key DEGs were screened in both females and males, which may be differentially expressed in females and males. Dual-luciferase reporter assay demonstrated that miR-21-5P could directly target the key gene MATN2. Furthermore, Sex differences in KEGG pathways were identified. Both KOBAS and GSEA analysis identified 19 significantly enriched pathways related to immune response in both females and males, and the TGF-β signaling pathway was exclusively identified in males. Network pharmacology analysis revealed that seven key DEGs were potential targets for the treatment of DCM, of which the OLR1 gene was only identified in males, the expression levels of the seven genes were verified by RT-PCR. The above results could offer a novel understanding of sex differences in key genes and pathways in DCM progression. Nature Publishing Group UK 2023-06-02 /pmc/articles/PMC10238547/ /pubmed/37268658 http://dx.doi.org/10.1038/s41598-023-36117-0 Text en © The Author(s) 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 Zhang, Min Wang, Xinzhou Chen, Wenbo Liu, Wei Xin, Jile Yang, Debao Zhang, Zhongyuan Zheng, Xiaoke Integrated bioinformatics analysis for identifying key genes and pathways in female and male patients with dilated cardiomyopathy |
title | Integrated bioinformatics analysis for identifying key genes and pathways in female and male patients with dilated cardiomyopathy |
title_full | Integrated bioinformatics analysis for identifying key genes and pathways in female and male patients with dilated cardiomyopathy |
title_fullStr | Integrated bioinformatics analysis for identifying key genes and pathways in female and male patients with dilated cardiomyopathy |
title_full_unstemmed | Integrated bioinformatics analysis for identifying key genes and pathways in female and male patients with dilated cardiomyopathy |
title_short | Integrated bioinformatics analysis for identifying key genes and pathways in female and male patients with dilated cardiomyopathy |
title_sort | integrated bioinformatics analysis for identifying key genes and pathways in female and male patients with dilated cardiomyopathy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238547/ https://www.ncbi.nlm.nih.gov/pubmed/37268658 http://dx.doi.org/10.1038/s41598-023-36117-0 |
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