FB2026_03 , released September 17, 2026
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Moulin, T.C., Williams, M.J., Schiƶth, H.B. (2026). The RASA2/RASA3 ortholog RasGAP1 modulates obesity-linked phenotypes and is associated with leptin-analog signaling in Drosophila.  Front. Endocrinol. 17(): 1773383.
FlyBase ID
FBrf0265539
Publication Type
Research paper
Abstract
Obesity arises from the interplay between genetic predisposition, metabolic signaling, and neural circuits that regulate feeding and energy expenditure. Large-scale association studies repeatedly implicate regulators of Ras/Rap GTPase signaling in adiposity and metabolic risk, but the mechanisms linking these intracellular switch modules to neural control of energy balance remain unclear. We used a translational approach centered on Drosophila RasGAP1, the closest ortholog of mammalian RASA2/3. Pan-neuronal RasGAP1 knockdown was assessed for effects on locomotor behavior, feeding interactions, systemic metabolic markers, expression of the leptin analog unpaired 1 (upd1), and protein-interaction networks. We then extended these findings to humans using protein-network and phenome-wide association analyses focused on RASA2/3-related pathways. Pan-neuronal RasGAP1 knockdown shifted behavior toward an obesity-like phenotype, combining reduced locomotor output with increased feeding interactions. This was accompanied by elevated lipid storage, increased circulating sugars, and reduced expression of upd1. Protein-interactome mapping positioned RasGAP1 within a connected signaling neighborhood linking Ras signaling with cytokine pathways relevant to feeding control. In humans, protein-network and phenome-wide association analyses converged on a KRAS-centered pathway in which RASA2/3, KRAS, and LEP were consistently associated with fat mass, BMI, and lipid dysregulation. These findings support RasGAP1/RASA2/3 as a candidate conserved neuro-metabolic regulator. More broadly, they provide hypothesis-generating evidence that RasGAP dysfunction may bias neural and metabolic control systems toward adiposity-linked phenotypes.
PubMed ID
PubMed Central ID
PMC13229727 (PMC) (EuropePMC)
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    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Front. Endocrinol.
    Title
    Frontiers in endocrinology
    ISBN/ISSN
    1664-2392
    Data From Reference
    Genes (2)
    Human Disease Models (1)