ArticleFrontiers in cardiovascular medicine2021
Development and Validation of a Random Forest Diagnostic Model of Acute Myocardial Infarction Based on Ferroptosis-Related Genes in Circulating Endothelial Cells.
Article in Frontiers in cardiovascular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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32 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.
- Machine learning-based myocardial infarction bibliometric analysis.Frontiers in medicine · 2025Pooled it
- Aging-driven transcriptional programs in diabetic kidney disease: multi-omics discovery of diagnostic biomarkers and drug-repurposing targets.Clinical epigenetics · 2026Article
- Establishment of a Prediction Model to Diagnose the End-stage Knee Osteoarthritis Based on a Significant Difference in Ferroptosis-Related Genes in Chondrocytes.Zeitschrift fur Orthopadie und Unfallchirurgie · 2026Article
- Integrative bioinformatics and machine learning reveal an association of LTF and MMP8 with systemic inflammation and lung injury.Respiratory research · 2026Article
- Article
- Extracellular Vesicles in Myocardial Infarction: Dual Role in Ferroptosis Regulation and In Vivo Imaging.Diagnostics (Basel, Switzerland) · 2026Review
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- Generative Artificial Intelligence vs. Transformer and Benchmarking Against Deep/Machine Learning: Classification and Scientific Validation of Heart Failure Patients Using Women's Transcriptomic Gene Data.Diagnostics (Basel, Switzerland) · 2026Article
- Identification of molecular diagnostic markers and potential therapeutic drugs for Sjögren's syndrome.Scientific reports · 2026Article
- Machine learning-based prognostic model of stemness and angiogenesis-related genes for predicting prognosis and immune infiltration in patients with HCC.Scientific reports · 2026Article
- Predicting neuroblastoma prognosis using machine learning analysis of metabolism-related gene network perturbation.BMC pediatrics · 2026Article
- Interpretable machine-learning prediction of PSEN1 missense variant pathogenicity based on multi-omics enrichment in six core Alzheimer's disease genes.Alzheimer's research & therapy · 2026Article
- Deciphering the clinical implication of an obesity-related gene signature as the novel biomarker for acute myocardial infarction diagnosis.Scientific reports · 2025Article
- Identification and validation of efferocytosis-related biomarkers for the diagnosis of atherosclerosis based on bioinformatics and machine learning.European journal of medical research · 2025Article
- Association between high-density lipoprotein cholesterol-related inflammation indices and chronic obstructive pulmonary disease: a cross-sectional study employing machine learning analysis.Lipids in health and disease · 2025Article
- A machine learning model and molecular clusters of epigenetic chromatin regulators in tuberculosis based on bioinformatics and clinical samples.Scientific reports · 2025Article
- Lactylation modulates immune infiltration in sepsis-induced acute respiratory distress syndrome: a multi-omics and machine learning study with experimental confirmation.European journal of medical research · 2025Article
- Harnessing ferroptosis for precision oncology: challenges and prospects.BMC biology · 2025Review
- Neutrophil-related IL1R2 gene predicts the occurrence and early progression of myocardial infarction.Frontiers in cardiovascular medicine · 2025Article
- Ferroptosis in ischemia-reperfusion injury: molecular mechanisms and therapeutic strategies.American journal of cardiovascular disease · 2025Review
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The high incidence and mortality of acute myocardial infarction (MI) drastically threaten human life and health. In the past few decades, the rise of reperfusion therapy has significantly reduced the mortality rate, but the MI diagnosis is still by means of the identification of myocardial injury markers without highly specific biomarkers of microcirculation disorders. Ferroptosis is a novel reported type of programmed cell death, which plays an important role in cancer development. Maintaining iron homeostasis in cells is essential for heart function, and its role in the pathological process of ischemic organ damages remains unclear. Being quickly detected through blood tests, circulating endothelial cells (CECs) have the potential for early judgment of early microcirculation disorders. In order to explore the role of ferroptosis-related genes in the early diagnosis of acute MI, we relied on two data sets from the GEO database to first detect eight ferroptosis-related genes differentially expressed in CECs between the MI and healthy groups in this study. After comparing different supervised learning algorithms, we constructed a random forest diagnosis model for acute MI based on these ferroptosis-related genes with a compelling diagnostic performance in both the validation (AUC = 0.8550) and test set (AUC = 0.7308), respectively. These results suggest that the ferroptosis-related genes might play an important role in the early stage of MI and have the potential as specific diagnostic biomarkers for MI.
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