Open Access

Bioinformatics analysis identifies ferroptosis‑related genes in the regulatory mechanism of myocardial infarction

  • Authors:
    • Yong-Hao Jiang
    • Su-Ying Wu
    • Zhen Wang
    • Lei Zhang
    • Juan Zhang
    • Yan Li
    • Chenglong Liu
    • Wen-Zhe Wu
    • Yi-Tao Xue
  • View Affiliations

  • Published online on: November 8, 2022     https://doi.org/10.3892/etm.2022.11684
  • Article Number: 748
  • Copyright: © Jiang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

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.

Related Articles

Journal Cover

December-2022
Volume 24 Issue 6

Print ISSN: 1792-0981
Online ISSN:1792-1015

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Jiang Y, Wu S, Wang Z, Zhang L, Zhang J, Li Y, Liu C, Wu W and Xue Y: Bioinformatics analysis identifies ferroptosis‑related genes in the regulatory mechanism of myocardial infarction. Exp Ther Med 24: 748, 2022
APA
Jiang, Y., Wu, S., Wang, Z., Zhang, L., Zhang, J., Li, Y. ... Xue, Y. (2022). Bioinformatics analysis identifies ferroptosis‑related genes in the regulatory mechanism of myocardial infarction. Experimental and Therapeutic Medicine, 24, 748. https://doi.org/10.3892/etm.2022.11684
MLA
Jiang, Y., Wu, S., Wang, Z., Zhang, L., Zhang, J., Li, Y., Liu, C., Wu, W., Xue, Y."Bioinformatics analysis identifies ferroptosis‑related genes in the regulatory mechanism of myocardial infarction". Experimental and Therapeutic Medicine 24.6 (2022): 748.
Chicago
Jiang, Y., Wu, S., Wang, Z., Zhang, L., Zhang, J., Li, Y., Liu, C., Wu, W., Xue, Y."Bioinformatics analysis identifies ferroptosis‑related genes in the regulatory mechanism of myocardial infarction". Experimental and Therapeutic Medicine 24, no. 6 (2022): 748. https://doi.org/10.3892/etm.2022.11684