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August 3, 2026Journal of Cardiothoracic SurgeryOpen Access

Bioinformatics-based analysis of key genes associated with endoplasmic reticulum stress in myocardial infarction

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Key result

AMI significantly upregulates ER stress hub genes CEBPB and PPP1R15A in mouse myocardial tissue.

  • P<0.05
  • n=20

Why the study?

Endoplasmic reticulum stress is a critical pathological factor driving MI progression, but core ERS-related hub genes in AMI pathogenesis needed screening and validation.

Population

Transcriptome datasets of AMI patients and healthy controls, plus an AMI mouse model

Comparison

AMI vs healthy controls or sham

Design

Bioinformatics analysis and in vivo experimental validation

Authors

LZLongsheng ZhangGuangxi Medical UniversityNLNing LiangRiverside Hospital of Guangxi Zhuang Autonomous RegionDLDezhao LiuGuangxi Medical University

Discussion

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Implication

May inform ERS-targeted research in AMI; leaves open clinical translation pending validation.

Key Points

  • The aim is to identify and validate core genes linked to endoplasmic reticulum stress involved in myocardial infarction.
  • Utilized two AMI-related transcriptome datasets from the GEO database for gene screening.
  • Applied PPI network analysis and random forest algorithm to identify core hub genes among differentially expressed genes.
  • Conducted in vivo qPCR on an AMI mouse model to validate hub gene mRNA levels.
  • Identified 15 ERS-related hub genes from a total of 633 differentially expressed genes (DEGs).
  • CEBPB and PPP1R15A were confirmed as core hub genes with significant upregulation in AMI samples.
  • In vivo validation showed significant elevation of CEBPB and PPP1R15A mRNA levels in AMI model mice compared to controls (P < 0.05).

Structured PICO

P
Population
Bioinformatics analysis of human transcriptome datasets combined with in vivo validation in 20 eight-week-old male mice subjected to LAD ligation to model acute myocardial infarction.
I
Intervention
Bioinformatics screening of endoplasmic reticulum stress-related genes and in vivo validation using LAD ligation AMI mouse model.
C
Comparator
Healthy controls (in datasets) and Sham surgery (in mice).
O
Outcome
Expression levels and diagnostic efficacy (AUC) of core ERS-related hub genes (CEBPB and PPP1R15A).surrogate

Main Result

p-value: p=<0.05

Bioinformatics analysis and in vivo validation identify CEBPB and PPP1R15A as key endoplasmic reticulum stress-related genes upregulated in acute myocardial infarction.

Limitations

  • Initial screening data was derived from human peripheral blood rather than myocardial tissue, only reflecting systemic transcriptional changes.
  • Only verified the mRNA expression of core genes; further protein-level detection and gene function verification are needed.
  • The moderate AUC values of the two genes limit their independent diagnostic value.
  • Initial screening data derived from human peripheral blood rather than myocardial tissue
  • Only verified mRNA expression of core genes, lacking protein-level and gene function verification
  • Moderate AUC values limit independent diagnostic value

Cite This Study

Zhang et al. (2026) studied Acute myocardial infarction (n=20). LAD ligation (AMI model) vs. Sham surgery was evaluated on mRNA expression levels of CEBPB and PPP1R15A in myocardial tissues (p=<0.05). CEBPB and PPP1R15A, identified as core endoplasmic reticulum stress-related hub genes via bioinformatics, were significantly upregulated in the myocardial tissues of acute myocardial infarction mice.

synapsesocial.com/papers/6a70404875942ff7265e52d9https://doi.org/10.1186/s13019-026-04596-7
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Identification and analysis of key genes associated with acute myocardial infarction by integrated bioinformatics methods2021 · 67 citations
  2. 2Bioinformatics Analysis and Experimental Validation of Key Genes Associated With Hypoxia and Ischemia in Myocardial Infarction2026
  3. 3Identification of Differentially Expressed Genes and Signaling Pathways in Acute Myocardial Infarction Based on Integrated Bioinformatics Analysis2019 · 45 citations
  4. 4Identifying key genes associated with acute myocardial infarction2017 · 28 citations
  5. 5Potential biomarkers of acute myocardial infarction based on co‑expression network analysis2021 · 11 citations