ArticleCardiovascular therapeutics2019
Identification of Differentially Expressed Genes and Signaling Pathways in Acute Myocardial Infarction Based on Integrated Bioinformatics Analysis.
Article in Cardiovascular therapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.
- Potential role of a three-gene signature in predicting diagnosis in patients with myocardial infarction.Bioengineered · 2021Pooled it
- Global under- and overprescribing of drugs-a scoping review.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Senescence-related epicardial adipocyte genes lead to immune infiltration and myocardial infarction progression.Frontiers in cardiovascular medicine · 2026Article
- Pathway Analysis Interpretation in the Multi-Omic Era.Biotech (Basel (Switzerland)) · 2025Review
- Comprehensive Analysis Reveals the Potential Diagnostic Value of Biomarkers Associated With Aging and Circadian Rhythm in Knee Osteoarthritis.Orthopaedic surgery · 2025Article
- High-intensity interval training: unveiling seven key genes mediating cardioprotection in myocardial infarction.Archives of medical science : AMS · 2025Article
- Subepicardial adipose genes contribute to the deterioration of heart failure preserved ejection fraction.Frontiers in cardiovascular medicine · 2025Article
- Establishment of a nomogram model based on immune-related genes using machine learning for aortic dissection diagnosis and immunomodulation assessment.International journal of medical sciences · 2025Article
- Elucidating gastric cancer mechanisms and therapeutic potential of Adociaquinone A targeting EGFR: A genomic analysis and Computer Aided Drug Design (CADD) approach.Journal of cellular and molecular medicine · 2024Article
- Identification of key genes associated with acute myocardial infarction using WGCNA and two-sample mendelian randomization study.PloS one · 2024Article
- Screening and Validation of Key Genes of Autophagy in Acute Myocardial Infarction Based on Bioinformatics.Evolutionary bioinformatics online · 2024Article
- The promotion of sestrin2/AMPK signaling by HIF-1α overexpression enhances the damage caused by acute myocardial infarction.BMC cardiovascular disorders · 2023Article
- Prospects for Precision Medicine in Acute Myocardial Infarction: Patient-Level Insights into Myocardial Injury and Repair.Journal of clinical medicine · 2023Review
- Identification of Key Genes and Biological Pathways Related to Myocardial Infarction through Integrated Bioinformatics Analysis.Iranian journal of medical sciences · 2023Article
- Biomarkers Associated with Immune Checkpoint, N6-Methyladenosine, and Ferroptosis in Patients with Restenosis.Journal of inflammation research · 2023Article
- Identification of Hub Genes in the Remodeling of Non-Infarcted Myocardium Following Acute Myocardial Infarction.Journal of cardiovascular development and disease · 2022Article
- Integrative analysis of DNA methylation and gene expression reveals key molecular signatures in acute myocardial infarction.Clinical epigenetics · 2022Article
- Inflammatory Burden and Immunomodulative Therapeutics of Cardiovascular Diseases.International journal of molecular sciences · 2022Review
- Macrophages-Related Genes Biomarkers in the Deterioration of Atherosclerosis.Frontiers in cardiovascular medicine · 2022Article
- Predicting Diagnostic Gene Biomarkers Associated With Immune Checkpoints, N6-Methyladenosine, and Ferroptosis in Patients With Acute Myocardial Infarction.Frontiers in cardiovascular medicine · 2022Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute myocardial infarction (AMI) is a common disease with high morbidity and mortality around the world. The aim of this research was to determine the differentially expressed genes (DEGs), which may serve as potential therapeutic targets or new biomarkers in AMI.
methodsFrom the Gene Expression Omnibus (GEO) database, three gene expression profiles (GSE775, GSE19322, and GSE97494) were downloaded. To identify the DEGs, integrated bioinformatics analysis and robust rank aggregation (RRA) method were applied. These DEGs were performed through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses by using Clusterprofiler package. In order to explore the correlation between these DEGs, the interaction network of protein-protein internet (PPI) was constructed using the STRING database. Utilizing the MCODE plug-in of Cytoscape, the module analysis was performed. Utilizing the cytoHubba plug-in, the hub genes were screened out.
results57 DEGs in total were identified, including 2 down- and 55 upregulated genes. These DEGs were mainly enriched in cytokine-cytokine receptor interaction, chemokine signaling pathway, TNF signaling pathway, and so on. The module analysis filtered out 18 key genes, including
conclusionThis study may provide credible molecular biomarkers in terms of screening, diagnosis, and prognosis for AMI. Meanwhile, it also serves as a basis for exploring new therapeutic target for AMI.
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