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METTL14 promotes intimal hyperplasia through m6A-mediated control of vascular smooth muscle dedifferentiation genes [RNA-seq]

GSE291558 Mus musculus Expression profiling by high throughput sequencing 4 samples Submitted 2025/03/17 Platform GPL17021
Summary
Vascular smooth muscle cells (VSMCs) possess significant phenotypic plasticity, shifting between a contractile phenotype and a synthetic state for vascular repair/remodelling. Dysregulated VSMC transformation, marked by excessive proliferation and migration, primarily drives intimal hyperplasia. N6-methyladenosine (m6A), the most prevalent RNA modification in eukaryotes, plays a critical role in gene expression regulation; however, its impact on VSMC plasticity is not fully understood. This research investigates the alterations in m6A modification and its regulatory factors during VSMC phenotypic shifts and their influence on intimal hyperplasia. We demonstrate that METTL14, crucial for m6A deposition, significantly promotes VSMC dedifferentiation. METTL14 expression, initially negligible, is elevated in synthetic VSMC cultures, post-injury neointimal VSMCs, and human restenotic arteries. Reducing Mettl14 levels in mouse primary VSMCs decreases pro- synthetic genes, suppressing their proliferation and migration. m6A-RIP-seq profiling shows key VSMC gene networks undergo altered m6A regulation in Mettl14-deficient cells. Mettl14 enhances Klf4 and Serpine1 expression through increased m6A deposition. Local Mettl14 knockdown significantly curbs neointimal formation post-arterial injury, and reducing Mettl14 in hyperplastic arteries halts further neointimal development. We found that Mettl14 is a pivotal regulator of VSMC dedifferentiation, influencing Klf4- and Serpine1- mediated phenotypic conversion. Inhibiting Mettl14 is a viable strategy for preventing restenosis and halting restenotic occlusions
Published in
METTL14 promotes intimal hyperplasia through m6A-mediated control of vascular smooth muscle dedifferentiation genes
Chensee G, Lee BS, Green ID et al. · JCI insight 2025 · PMID 40266881 · doi:10.1172/jci.insight.184444
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Also filed as BioProject PRJNA1234142 and SRA study SRP569237. Searching any of these in the dataset finder brings you back here.

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