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Glucagon controls obesity-specific energy expenditure via persistent cAMP/PKA signaling [RNA-Seq 2]

GSE291381 Mus musculus Expression profiling by high throughput sequencing 8 samples Submitted 2025/06/23 Platform GPL24247
Summary
Background & Aims: Glucagon (GCG) analogues are gaining attention as promising components in incretin-based therapeutics for obesity and metabolic dysfunction-associated steatohepatitis. However, the biology of chronic glucagon treatment, in particular, the molecular underpinnings of GCG-induced energy expenditure and lipid metabolism, remain poorly defined. Methods: We utilized a long-acting GCG analogue (LA-GCG) in conjunction with hepatic and adipose glucagon receptor knockout mouse models. Through an integrative approach that combined metabolic, biochemical and omics techniques, we investigated the molecular mechanisms underlying GCG-induced energy expenditure and metabolic benefits. Results: We demonstrate that the LA-GCG enhances energy expenditure in diet-induced obese mice with an essential role of hepatic, but not adipose, GCGR signaling. Intriguingly, the enhancement in energy expenditure is observed only in obese but not in lean mice. The preferential efficacy is plausibly found in a prolonged activation of cAMP/PKA signaling through PDE4B/4D downregulation by LA-GCG. Conversely, the cAMP/PKA signaling is promptly attenuated by the PDE4B/4D activity in lean mice. Interestingly, unlike the EE phenotype, the lipid-clearing capacity of LA-GCG is independent of the PDE4/cAMP/PKA axis. Conclusions: These findings provide the molecular basis for GCG-induced energy expenditure and metabolic benefits and suggest the phenotypic segregation of cAMP/PKA-dependent and independent effects.
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Direct links to NCBI, no account and no request form: the whole study as GSE291381_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1233272 and SRA study SRP568697. Searching any of these in the dataset finder brings you back here.

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