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Updated: Jun 29, 2025

Improved Rodent Model of Myocardial Ischemia and Reperfusion Injury
Published on: March 7, 2022
Bioinformatics integration reveals key genes associated with mitophagy in myocardial ischemia-reperfusion injury
Zhian Chen1, Tianying Liu1, Hao Yuan1
1Department of Clinical Medicine, Changchun University of Chinese Medicine, No. 1035, Boshuo Road, Nanguan District, Changchun, 130,117, Jilin Province, China.
Background:
Myocardial ischemia is a prevalent cardiovascular disorder associated with significant morbidity and mortality. While prompt restoration of blood flow is essential for improving patient outcomes, the subsequent reperfusion process can result in myocardial ischemia-reperfusion injury (MIRI). Mitophagy, a specialized autophagic mechanism, has consistently been implicated in various cardiovascular disorders. However, the specific connection between ischemia-reperfusion and mitophagy remains elusive. This study aims to elucidate and validate central mitophagy-related genes associated with MIRI through comprehensive bioinformatics analysis.
Methods:
We acquired the microarray expression profile dataset (GSE108940) from the Gene Expression Omnibus (GEO) and identified differentially expressed genes (DEGs) using GEO2R. Subsequently, these DEGs were cross-referenced with the mitophagy database, and differential nucleotide sequence analysis was performed through enrichment analysis. Protein-protein interaction (PPI) network analysis was employed to identify hub genes, followed by clustering of these hub genes using cytoHubba and MCODE within Cytoscape software. Gene set enrichment analysis (GSEA) was conducted on central genes. Additionally, Western blotting, immunofluorescence, and quantitative polymerase chain reaction (qPCR) analyses were conducted to validate the expression patterns of pivotal genes in MIRI rat model and H9C2 cardiomyocytes.
Results:
A total of 2719 DEGs and 61 mitophagy-DEGs were identified, followed by enrichment analyses and the construction of a PPI network. HSP90AA1, RPS27A, EEF2, EIF4A1, EIF2S1, HIF-1α, and BNIP3 emerged as the seven hub genes identified by cytoHubba and MCODE of Cytoscape software. Functional clustering analysis of HIF-1α and BNIP3 yielded a score of 9.647, as determined by Cytoscape (MCODE). In our MIRI rat model, Western blot and immunofluorescence analyses confirmed a significant elevation in the expression of HIF-1α and BNIP3, accompanied by a notable increase in the ratio of LC3II to LC3I. Subsequently, qPCR confirmed a significant upregulation of HIF-1α, BNIP3, and LC3 mRNA in the MIRI group. Activation of the HIF-1α/BNIP3 pathway mediates the regulation of the degree of Mitophagy, thereby effectively reducing apoptosis in rat H9C2 cardiomyocytes.
Conclusions:
This study has identified seven central genes among mitophagy-related DEGs that may play a pivotal role in MIRI, suggesting a correlation between the HIF-1α/BNIP3 pathway of mitophagy and the pathogenesis of MIRI. The findings highlight the potential importance of mitophagy in MIRI and provide valuable insights into underlying mechanisms and potential therapeutic targets for further exploration in future studies.
Insights
This study identifies seven key mitophagy genes involved in myocardial ischemia-reperfusion injury (MIRI). The HIF-1α/BNIP3 pathway activation reduces apoptosis, offering potential therapeutic targets for MIRI.
Area of Science:
- Cardiovascular Biology
- Cellular Mechanisms
- Molecular Genetics
Background:
- Myocardial ischemia-reperfusion injury (MIRI) is a significant clinical challenge.
- Mitophagy, a cellular process, is linked to cardiovascular diseases, but its role in MIRI is unclear.
- Identifying specific mitophagy-related genes in MIRI is crucial for understanding disease mechanisms.
Purpose of the Study:
- To identify and validate key mitophagy-related genes associated with myocardial ischemia-reperfusion injury (MIRI).
- To elucidate the role of mitophagy in the pathogenesis of MIRI.
- To explore potential therapeutic targets for MIRI.
Main Methods:
- Bioinformatic analysis of gene expression data (GSE108940) to identify differentially expressed genes (DEGs).
- Cross-referencing DEGs with a mitophagy database and performing enrichment analyses.
- Constructing protein-protein interaction (PPI) networks to identify hub genes, validated by experimental methods (Western blot, immunofluorescence, qPCR) in a MIRI rat model.
Main Results:
- 2719 DEGs and 61 mitophagy-DEGs were identified.
- Seven hub genes, including HIF-1α and BNIP3, were pinpointed through network analysis.
- Experimental validation confirmed elevated HIF-1α and BNIP3 expression and increased mitophagy markers in MIRI models, demonstrating the HIF-1α/BNIP3 pathway's role in reducing cardiomyocyte apoptosis.
Conclusions:
- Seven central mitophagy-related genes are implicated in MIRI pathogenesis.
- The HIF-1α/BNIP3 pathway plays a significant role in regulating mitophagy and mitigating MIRI-induced apoptosis.
- These findings offer novel insights into MIRI mechanisms and potential therapeutic strategies.

