ArticleFrontiers in cardiovascular medicine2022
5mC modification patterns provide novel direction for early acute myocardial infarction detection and personalized therapy.
Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- State-Dependent DNA Methylation Signatures Distinguish Acute from Stable Coronary Syndromes.International journal of molecular sciences · 2026Article
- DNA Methylation Patterns of 5mC Regulators: Insights into Immune Microenvironment Regulation in Heart Failure.Applied biochemistry and biotechnology · 2026Article
- ALYREF inhibits ferroptosis in vascular endothelial cells and improves atherosclerosis by epigenetic modification of CISD1.Clinical epigenetics · 2025Article
- Identification of key genes associated with cellular aging and mitochondria in acute myocardial infarction.Scientific reports · 2025Article
- Article
- Regulators of RNA mFrontiers in endocrinology · 2025Article
- Impact of Dual Antithrombotic Therapy with Aspirin and Rivaroxaban on Secondary Cardiovascular Outcomes.Medical science monitor : international medical journal of experimental and clinical research · 2024Article
- Panoramic on Epigenetics in Coronary Artery Disease and the Approach of Personalized Medicine.Biomedicines · 2023Review
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Most deaths from coronary artery disease (CAD) are due to acute myocardial infarction (AMI). There is an urgent need for early AMI detection, particularly in patients with stable CAD. 5-methylcytosine (5mC) regulatory genes have been demonstrated to involve in the progression and prognosis of cardiovascular diseases, while little research examined 5mC regulators in CAD to AMI progression. Method: Two datasets (GSE59867 and GSE62646) were downloaded from Gene Expression Omnibus (GEO) database, and 21 m5C regulators were extracted from previous literature. Dysregulated 5mC regulators were screened out by "limma." The least absolute shrinkage and selection operator (LASSO) and support vector machine recursive feature elimination (SVM-RFE) algorithm were employed to identify hub 5mC regulators in CAD to AMI progression, and 43 clinical samples (Quantitative real-time PCR) were performed for expression validation. Then a logistic model was built to construct 5mC regulator signatures, and a series of bioinformatics algorithms were performed for model validation. Besides, 5mC-associated molecular clusters were studied Results: Nine hub 5mC regulators were identified. A robust model was constructed, and its prominent classification accuracy was verified Conclusion: Nine hub 5mC regulators (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.