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Updated: Feb 15, 2026

Myocardial Infarction and Functional Outcome Assessment in Pigs
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Identification of potentially relevant genes for myocardial infarction using RNA sequencing data analysis

Qiang Zhao1, Ke Wu2, Nannan Li3

  • 1Department of Cardiology, The Affiliated Hospital of Taishan Medical University of Shandong Province, Tai'an, Shandong 271000, P.R. China.

Experimental and Therapeutic Medicine
|February 6, 2018
PubMed

Insights

This study identified 977 differentially expressed genes in myocardial infarction (MI) patients, highlighting eight key genes like IFIT3 and HLA-DQA1. These genes are crucial for understanding MI progression and inflammatory responses.

Area of Science:

  • Cardiovascular Biology
  • Molecular Genetics
  • Immunology

Background:

  • Myocardial infarction (MI) presents significant morbidity and mortality.
  • Identifying genes involved in MI pathogenesis is critical for developing new therapies.

Purpose of the Study:

  • To identify novel genes associated with myocardial infarction progression.
  • To explore the functional roles of differentially expressed genes in MI.

Main Methods:

  • RNA sequencing (RNA-seq) was performed on blood samples from MI patients and controls.
  • Differentially expressed genes (DEGs) were identified and validated using a public GEO dataset.
  • Functional enrichment and protein-protein interaction network analyses were conducted.

Main Results:

  • A total of 977 DEGs were identified in MI patients, with 817 upregulated and 160 downregulated.
  • DEGs were significantly enriched in immune and inflammatory pathways, including TNF signaling.
  • Eight key genes (IFIT3, MX1, HLA-DQA1, RORA, PTGDS, CRIP2, COL6A2, S100P) were identified as potentially relevant to MI pathology.

Conclusions:

  • The identified genes, particularly IFIT3, MX1, and HLA-DQA1, play significant roles in myocardial infarction.
  • These findings provide potential targets for future diagnostic and therapeutic strategies for MI.

Keywords:
RNA sequencingdifferentially expressed genesmyocardial infarctionprotein-protein interaction

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