ArticleJournal of thoracic disease2022
Diagnosis, clustering, and immune cell infiltration analysis of m6A-related genes in patients with acute myocardial infarction-a bioinformatics analysis.
Article in Journal of thoracic disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Adipocytokine Pathway Dysregulation Characterizes Immune-Related Molecular Subtypes and Candidate Biomarkers in Myocardial Infarction.Journal of inflammation research · 2026Article
- RNA epitranscriptomic regulation of tumor immune evasion: mechanisms, context-dependent roles, and therapeutic implications.Frontiers in immunology · 2026Review
- A comprehensive review of m6 A methylation in coronary heart disease.Journal of molecular medicine (Berlin, Germany) · 2025Review
- METTL3: a multifunctional regulator in diseases.Molecular and cellular biochemistry · 2025Review
- METTL3-mediated m⁶A methylation in cardiac diseases: pathogenic roles and therapeutic potential.Cell biology and toxicology · 2025Review
- Insights From m6A RNA Methylation: Biomarkers for Diagnosis of Acute Myocardial Infarction.Journal of inflammation research · 2025Article
- Expression patterns and clinical value of key m6A RNA modification regulators in smoking patients with coronary artery disease.Epigenetics · 2024Article
- NAging and disease · 2024Review
- m6A regulator-mediated RNA methylation modification patterns are involved in the regulation of the immune microenvironment in ischaemic cardiomyopathy.Scientific reports · 2023Article
- Article
- 5mC modification patterns provide novel direction for early acute myocardial infarction detection and personalized therapy.Frontiers in cardiovascular medicine · 2022Article
- Comprehensive Analysis of N6-Methyladenosine RNA Methylation Regulators in the Diagnosis and Subtype Classification of Acute Myocardial Infarction.Journal of immunology research · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Accurate myocardial infarction (AMI) is one of the leading causes of mortality worldwide. N6-methyladenosine (m6A) modification plays an important role in the development of cardiac remodeling and the cardiomyocyte contractile function. The aim of this study is to analyze the m6A-related molecular biological mechanisms of AMI in terms of accurate diagnosis and prognosis. Methods: The platform data and probe data of the GSE66360 data set were downloaded. The differential analysis was conducted by combining the m6A-related gene expression. Thereafter, a diagnostic model was established using the random-forest method. The diagnostic accuracy of the diagnostic models was assessed by using the area under the receiver operating characteristic (ROC) curve (AUC). Next, the patients with AMI were clustered by unsupervised machine learning using the R software. Finally, an immune cell clustering analysis for each cluster was conducted to determine the correlations between m6A-related gene expression and the infiltration amount of the immune cells. The case and control groups were not matched in terms of demographics. Results: The GSE6636 data set comprised 99 participants (49 patients with AMI and 50 without in control group). The differential analysis identified 10 m6A-related genes: 5 writers [Methyltransferase-like 3 ( Conclusions: A diagnostic model of AMI was established based on the genes of
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