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m6A RNA Methylation-miRNA Crosstalk in Cardiovascular Remodeling
Liujie Long1, Yi Yang1, Chufang Zheng1
1Department of Biochemistry and Molecular Biology, Shenzhen University Medical School, Shenzhen 518060, China.
Biomolecules
|June 26, 2026
Summary
N6-methyladenosine (m6A) RNA methylation and microRNA (miRNA) pathways interact to regulate cardiovascular remodeling. This review explores their crosstalk in cardiovascular diseases, offering insights into RNA regulatory networks.
Area of Science:
- Cardiovascular Biology
- Epitranscriptomics
- Molecular Biology
Background:
- Cardiovascular remodeling is central to diseases like atherosclerosis and myocardial infarction.
- Regulation traditionally involves transcriptional, inflammatory, metabolic, mechanical, and signaling pathways.
- Epitranscriptomics, specifically m6A RNA methylation, emerges as a key post-transcriptional regulator.
Purpose of the Study:
- To review the crosstalk between m6A RNA methylation and miRNA pathways in cardiovascular remodeling.
- To highlight epitranscriptomic checkpoints and feedback circuits involving m6A and miRNAs.
- To discuss cell-type-specific roles and translational implications.
Main Methods:
- Literature review of current evidence on m6A-miRNA interactions in cardiovascular disease.
- Focus on regulatory mechanisms, including miRNA fate, feedback loops, and cell-specific programs.
- Exploration of analytical technologies and translational potential.
Main Results:
- m6A and miRNA pathways exhibit complex crosstalk in cardiovascular remodeling.
- Epitranscriptomic checkpoints and feedback circuits involving m6A machinery and miRNAs are identified.
- Cell-type-specific regulatory programs in endothelial cells, vascular smooth muscle cells, fibroblasts, and cardiomyocytes are discussed.
Conclusions:
- The m6A-miRNA axis represents a critical regulatory layer in cardiovascular remodeling.
- Understanding this crosstalk provides a systems-level view of RNA networks in cardiovascular disease.
- Further research is needed to clarify causal mechanisms, specificity, and translational feasibility.
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