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Upregulation of key genes Eln and Tgfb3 were associated with the severity of cardiac hypertrophy
BACKGROUND: Hypertension-induced cardiac hypertrophy is one of the most common pre-conditions that accompanies heart failure. This study aimed to identify the key pathogenic genes in the disease process. METHODS: GSE18224 was re-analyzed and differentially expressed genes (DEGs) were obtained. Gene...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375926/ https://www.ncbi.nlm.nih.gov/pubmed/35964009 http://dx.doi.org/10.1186/s12864-022-08778-0 |
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author | Zhang, Rui Xu, Xuan Chen, Xi Hao, Chunshu Ji, Zhenjun Zuo, Pengfei Yang, Mingming Ma, Genshan Li, Yongjun |
author_facet | Zhang, Rui Xu, Xuan Chen, Xi Hao, Chunshu Ji, Zhenjun Zuo, Pengfei Yang, Mingming Ma, Genshan Li, Yongjun |
author_sort | Zhang, Rui |
collection | PubMed |
description | BACKGROUND: Hypertension-induced cardiac hypertrophy is one of the most common pre-conditions that accompanies heart failure. This study aimed to identify the key pathogenic genes in the disease process. METHODS: GSE18224 was re-analyzed and differentially expressed genes (DEGs) were obtained. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were carried out. Networks of transcription factor (TF)-mRNA, microRNA (miRNA)-mRNA and Protein-Protein interaction (PPI) were constructed, and a key module was further screened out from PPI network. GSE36074 dataset and our transverse aortic constriction (TAC) mouse model were used to validate gene expression in the module. Finally, the correlation between the genes and biomarkers of cardiac hypertrophy were evaluated. RESULTS: Totally, there were 348 DEGs in GSE18224, which were mainly enriched in biological processes including collagen fibril organization, cellular response to transforming growth factor-beta stimulus and were involved in ECM-receptor interaction and Oxytocin signaling pathway. There were 387 miRNAs targeted by 257 DEGs, while 177 TFs targeted 71 DEGs. The PPI network contained 222 nodes and 770 edges, with 18 genes screened out into the module. After validation, 8 genes, which were also significantly upregulated in the GSE36074 dataset, were selected from the 18 DEGs. 2 of the 8 DEGs, including Eln and Tgfb3 were significantly upregulated in our mouse model of myocardial hypertrophy. Finally, the expression of Eln and Tgfb3 were found to be positively correlated with the level of the disease biomarkers. CONCLUSIONS: Upregulated key genes Eln and Tgfb3 were positively correlated with the severity of cardiac hypertrophy, which may provide potential therapeutic targets for the disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08778-0. |
format | Online Article Text |
id | pubmed-9375926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93759262022-08-15 Upregulation of key genes Eln and Tgfb3 were associated with the severity of cardiac hypertrophy Zhang, Rui Xu, Xuan Chen, Xi Hao, Chunshu Ji, Zhenjun Zuo, Pengfei Yang, Mingming Ma, Genshan Li, Yongjun BMC Genomics Research BACKGROUND: Hypertension-induced cardiac hypertrophy is one of the most common pre-conditions that accompanies heart failure. This study aimed to identify the key pathogenic genes in the disease process. METHODS: GSE18224 was re-analyzed and differentially expressed genes (DEGs) were obtained. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were carried out. Networks of transcription factor (TF)-mRNA, microRNA (miRNA)-mRNA and Protein-Protein interaction (PPI) were constructed, and a key module was further screened out from PPI network. GSE36074 dataset and our transverse aortic constriction (TAC) mouse model were used to validate gene expression in the module. Finally, the correlation between the genes and biomarkers of cardiac hypertrophy were evaluated. RESULTS: Totally, there were 348 DEGs in GSE18224, which were mainly enriched in biological processes including collagen fibril organization, cellular response to transforming growth factor-beta stimulus and were involved in ECM-receptor interaction and Oxytocin signaling pathway. There were 387 miRNAs targeted by 257 DEGs, while 177 TFs targeted 71 DEGs. The PPI network contained 222 nodes and 770 edges, with 18 genes screened out into the module. After validation, 8 genes, which were also significantly upregulated in the GSE36074 dataset, were selected from the 18 DEGs. 2 of the 8 DEGs, including Eln and Tgfb3 were significantly upregulated in our mouse model of myocardial hypertrophy. Finally, the expression of Eln and Tgfb3 were found to be positively correlated with the level of the disease biomarkers. CONCLUSIONS: Upregulated key genes Eln and Tgfb3 were positively correlated with the severity of cardiac hypertrophy, which may provide potential therapeutic targets for the disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08778-0. BioMed Central 2022-08-14 /pmc/articles/PMC9375926/ /pubmed/35964009 http://dx.doi.org/10.1186/s12864-022-08778-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhang, Rui Xu, Xuan Chen, Xi Hao, Chunshu Ji, Zhenjun Zuo, Pengfei Yang, Mingming Ma, Genshan Li, Yongjun Upregulation of key genes Eln and Tgfb3 were associated with the severity of cardiac hypertrophy |
title | Upregulation of key genes Eln and Tgfb3 were associated with the severity of cardiac hypertrophy |
title_full | Upregulation of key genes Eln and Tgfb3 were associated with the severity of cardiac hypertrophy |
title_fullStr | Upregulation of key genes Eln and Tgfb3 were associated with the severity of cardiac hypertrophy |
title_full_unstemmed | Upregulation of key genes Eln and Tgfb3 were associated with the severity of cardiac hypertrophy |
title_short | Upregulation of key genes Eln and Tgfb3 were associated with the severity of cardiac hypertrophy |
title_sort | upregulation of key genes eln and tgfb3 were associated with the severity of cardiac hypertrophy |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375926/ https://www.ncbi.nlm.nih.gov/pubmed/35964009 http://dx.doi.org/10.1186/s12864-022-08778-0 |
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