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Activating PIK3CA mutation promotes overgrowth of adipose tissue via inhibiting lipophagy in macrodactyly

GSE298035 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2025/12/02 Platform GPL16791
Summary
Excessive proliferation and lipid accumulation of adipose tissue are the main pathological alterations in macrodactyly. Our previous studies found that macrodactyly exhibits abnormal lipid metabolism and inhibited autophagy, but the underlying mechanisms remain unclear. This study aims to investigate the regulatory mechanisms of autophagy in macrodactyly. The therapeutic impact and underlying mechanisms of autophagy on lipid accumulation, induced by a gain-of-function mutation of PIK3CA in macrodactyly, were assessed with respect to autophagy, lipid metabolism, oxidative stress, and deubiquitination. Autophagy deficiency resulting from PIK3CA mutation in macrodactyly led to excessive accumulation of adipose tissue. Lipid accumulation can be mitigated by inducing lipophagy of lipid droplets (LDs) in adipose derived stem cells of macrodactyly (Mac-ADSCs). The subsequent increase in free fatty acids (FFA) led to mitochondrial oxidative stress in Mac-ADSCs. Inducing autophagy exacerbated mitochondrial oxidative stress in Mac-ADSCs, thereby contributing to apoptosis. Additionally, the ablation of the deubiquitinase USP15 facilitated the degradation of LDs in Mac-ADSCs, through ubiquitin-dependent macrolipophagy. USP15 inhibitor reduced lipid accumulation in macrodactyly adipose tissue xenografts. In conclusion, activating PIK3CA mutation promotes excessive proliferation and lipid accumulation of Mac-ADSCs by inhibiting lipophagy. Targeted inhibition of USP15 may serve as a promising therapeutic approach for treating macrodactyly.
Published in
Activating PIK3CA mutation promotes overgrowth of adipose tissue via inhibiting lipophagy in macrodactyly
Yin Y, Zhang X, Lin S et al. · Cell death & disease 2025 · PMID 41052995 · doi:10.1038/s41419-025-08024-x
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Also filed as BioProject PRJNA1267137 and SRA study SRP587337. Searching any of these in the dataset finder brings you back here.

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