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Histone lactylation enhances m6A-mediated PDK4 stabilization to drive osteogenic differentiation in calcific aortic valve disease

GSE309520 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2026/05/01 Platform GPL24676
Summary
Calcific aortic valvular disease (CAVD) is characterized by progressive thickening and calcification of the valvular leaflets. Emerging evidence suggests that glycolysis, particularly regulated by pyruvate dehydrogenase kinase 4 (PDK4), plays a significant role in calcification-related diseases. Nevertheless, the mechanisms by which PDK4 affects glycolysis and influences CAVD remain unexplored. This study investigated the contribution of PDK4 to glycolytic reprogramming and osteogenic differentiation in CAVD. Osteogenic differentiation of human valvular interstitial cells (VICs) and CAVD valves was associated with enhanced glycolysis, leading to increased lactate production that further promoted VICs' calcification. PDK4 expression was significantly upregulated in both osteogenically differentiated VICs and CAVD valves. Silencing PDK4 reduced osteogenic differentiation in VICs, whereas PDK4 overexpression aggravated differentiation and increased glycolytic activity. Mechanistically, PDK4 facilitated nuclear translocation of Yes-associated protein (YAP), a key regulator of the Hippo signaling pathway, thereby enhancing RUNX2 transcription and promoting osteogenic differentiation. Nuclear accumulation of lactate increased H3K18 lactylation, which stabilized PDK4 mRNA through the METTL3-m6A-YTHDF1 pathway, establishing a positive feedback loop. This study identifies mechanisms by which glycolysis drives CAVD progression and highlights PDK4 as a potential molecular target for therapeutic intervention.
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Direct links to NCBI, no account and no request form: the whole study as GSE309520_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1336203 and SRA study SRP629610. Searching any of these in the dataset finder brings you back here.

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