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Grenot, G.

Publications and source records attributed to Grenot, G..

2 recordsLinked to original sources

ENPP1 buffers extracellular cGAMP in brown adipose tissue to limit insulin resistance

The ectonucleotide pyrophosphatase/phosphodiesterase 1 (ENPP1) has long been linked with metabolic diseases, with the common ENPP1 K173Q (historically K121Q) variant conferring increased risk for type 2 diabetes (T2D). However, the mechanistic basis of this association has remained unclear. Here, we demonstrate that the K173Q variant has decreased cGAMP hydrolysis activity, suggesting that this loss of enzymatic function could contribute to its pathogenesis. Using a cGAMP-hydrolysis-deficient knock-in mouse (Enpp1H362A), we show that selective loss of this activity leads to a primary defect in energy expenditure and exacerbates high-fat diet (HFD)-induced weight gain and insulin resistance. An unbiased in vivo glucose-uptake screen reveals brown adipose tissue (BAT) as a focal site of metabolic impairment, characterized by profound extracellular cGAMP accumulation and a selective failure of insulin-stimulated glucose uptake. Mechanistically, we demonstrate that nutrient excess drives mitochondrial DNA leakage in brown adipocytes, triggering cGAMP production and export. Excess cGAMP directly propagates STING-dependent suppression of glucose uptake and lipogenesis in brown adipocytes. Additionally, when ENPP1-mediated clearance is compromised, extracellular cGAMP acts as a paracrine immunotransmitter that remodels the BAT microenvironment by recruiting and polarizing macrophages toward an M1-like phenotype. Together, our findings nominate the impaired ENPP1-dependent buffering of extracellular cGAMP as one mechanism by which ENPP1 variants influence metabolic homeostasis.

immunology↗

Oncogenic context shapes the fitness landscape of tumor suppression

Tumors acquire alterations in oncogenes and tumor suppressor genes in an adaptive walk through the fitness landscape of tumorigenesis. However, the features of this landscape remain poorly understood and cannot be revealed by human cancer genotyping alone. Here, we use a multiplexed, autochthonous mouse platform to model and quantify the initiation and growth of more than one hundred genotypes of lung tumors across four oncogenic contexts: KRAS G12D, KRAS G12C, BRAF V600E, and EGFR L858R. The resulting fitness landscape is rugged (the effect of tumor suppressor inactivation often switches between beneficial and deleterious depending on the oncogenic context), shows no evidence of diminishing-returns epistasis within variants of the same oncogene, and is inconsistent with expectations of a simple linear signaling relationship among these three oncogenes. Our findings suggest that tumor suppressor effects are strongly context-specific, which limits the set of evolutionary paths that can be taken through the fitness landscape.

cancer biology↗