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Bioinformatics analysis identifies ferroptosis‑related genes in the regulatory mechanism of myocardial infarction
Since ferroptosis is considered to be a notable cause of cardiomyocyte death, inhibiting ferroptosis has become a novel strategy in reducing cardiac cell death and improving cardiopathic conditions. Therefore, the aim of the present study was to search for ferroptosis-related hub genes and determine...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748705/ https://www.ncbi.nlm.nih.gov/pubmed/36561967 http://dx.doi.org/10.3892/etm.2022.11684 |
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author | Jiang, Yong-Hao Wu, Su-Ying Wang, Zhen Zhang, Lei Zhang, Juan Li, Yan Liu, Chenglong Wu, Wen-Zhe Xue, Yi-Tao |
author_facet | Jiang, Yong-Hao Wu, Su-Ying Wang, Zhen Zhang, Lei Zhang, Juan Li, Yan Liu, Chenglong Wu, Wen-Zhe Xue, Yi-Tao |
author_sort | Jiang, Yong-Hao |
collection | PubMed |
description | Since ferroptosis is considered to be a notable cause of cardiomyocyte death, inhibiting ferroptosis has become a novel strategy in reducing cardiac cell death and improving cardiopathic conditions. Therefore, the aim of the present study was to search for ferroptosis-related hub genes and determine their diagnostic value in myocardial infarction (MI) to aid in the diagnosis and treatment of the disease. A total of 10,286 DEGs were identified, including 6,822 upregulated and 3.464 downregulated genes in patients with MI compared with healthy controls. After overlapping with ferroptosis-related genes, 128 ferroptosis-related DEGs were obtained. WGCNA successfully identified a further eight functional modules, from which the blue module had the strongest correlation with MI. Blue module genes and ferroptosis-related differentially expressed genes were overlapped to obtain 20 ferroptosis-related genes associated with MI. Go and KEGG analysis showed that these genes were mainly enriched in cellular response to chemical stress, trans complex, transferring, phosphorus-containing groups, protein serine/threonine kinase activity, FoxO signaling pathway. Hub genes were obtained from 20 ferroptosis-related genes through the PPI network. The expression of hub genes was found to be down-regulated in the MI group. Finally, the miRNAs-hub genes and TFs-hub genes networks were constructed. The GSE141512 dataset and the use of RT-qPCR assays on patient blood samples were used to confirm these results. The results showed that ATM, PIK3CA, MAPK8, KRAS and SIRT1 may play key roles in the development of MI, and could therefore be novel markers or targets for the diagnosis or treatment of MI. |
format | Online Article Text |
id | pubmed-9748705 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-97487052022-12-21 Bioinformatics analysis identifies ferroptosis‑related genes in the regulatory mechanism of myocardial infarction Jiang, Yong-Hao Wu, Su-Ying Wang, Zhen Zhang, Lei Zhang, Juan Li, Yan Liu, Chenglong Wu, Wen-Zhe Xue, Yi-Tao Exp Ther Med Articles Since ferroptosis is considered to be a notable cause of cardiomyocyte death, inhibiting ferroptosis has become a novel strategy in reducing cardiac cell death and improving cardiopathic conditions. Therefore, the aim of the present study was to search for ferroptosis-related hub genes and determine their diagnostic value in myocardial infarction (MI) to aid in the diagnosis and treatment of the disease. A total of 10,286 DEGs were identified, including 6,822 upregulated and 3.464 downregulated genes in patients with MI compared with healthy controls. After overlapping with ferroptosis-related genes, 128 ferroptosis-related DEGs were obtained. WGCNA successfully identified a further eight functional modules, from which the blue module had the strongest correlation with MI. Blue module genes and ferroptosis-related differentially expressed genes were overlapped to obtain 20 ferroptosis-related genes associated with MI. Go and KEGG analysis showed that these genes were mainly enriched in cellular response to chemical stress, trans complex, transferring, phosphorus-containing groups, protein serine/threonine kinase activity, FoxO signaling pathway. Hub genes were obtained from 20 ferroptosis-related genes through the PPI network. The expression of hub genes was found to be down-regulated in the MI group. Finally, the miRNAs-hub genes and TFs-hub genes networks were constructed. The GSE141512 dataset and the use of RT-qPCR assays on patient blood samples were used to confirm these results. The results showed that ATM, PIK3CA, MAPK8, KRAS and SIRT1 may play key roles in the development of MI, and could therefore be novel markers or targets for the diagnosis or treatment of MI. D.A. Spandidos 2022-11-08 /pmc/articles/PMC9748705/ /pubmed/36561967 http://dx.doi.org/10.3892/etm.2022.11684 Text en Copyright: © Jiang et al. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Jiang, Yong-Hao Wu, Su-Ying Wang, Zhen Zhang, Lei Zhang, Juan Li, Yan Liu, Chenglong Wu, Wen-Zhe Xue, Yi-Tao Bioinformatics analysis identifies ferroptosis‑related genes in the regulatory mechanism of myocardial infarction |
title | Bioinformatics analysis identifies ferroptosis‑related genes in the regulatory mechanism of myocardial infarction |
title_full | Bioinformatics analysis identifies ferroptosis‑related genes in the regulatory mechanism of myocardial infarction |
title_fullStr | Bioinformatics analysis identifies ferroptosis‑related genes in the regulatory mechanism of myocardial infarction |
title_full_unstemmed | Bioinformatics analysis identifies ferroptosis‑related genes in the regulatory mechanism of myocardial infarction |
title_short | Bioinformatics analysis identifies ferroptosis‑related genes in the regulatory mechanism of myocardial infarction |
title_sort | bioinformatics analysis identifies ferroptosis‑related genes in the regulatory mechanism of myocardial infarction |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748705/ https://www.ncbi.nlm.nih.gov/pubmed/36561967 http://dx.doi.org/10.3892/etm.2022.11684 |
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