FB2026_01 , released March 12, 2026
FB2026_01 , released March 12, 2026
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Citation
Mirzoyan, Z., Valenza, A., Zola, S., Bonfanti, C., Arnaboldi, L., Ferrari, N., Pollard, J., Lupi, V., Cassinelli, M., Frattaroli, M., Sahin, M., Pasini, M.E., Bellosta, P. (2023). A Drosophila model targets Eiger/TNFα to alleviate obesity-related insulin resistance and macrophage infiltration.  Dis. Model Mech. 16(11): dmm050388.
FlyBase ID
FBrf0257978
Publication Type
Research paper
Abstract
Obesity is associated with various metabolic disorders, such as insulin resistance and adipose tissue inflammation (ATM), characterized by macrophage infiltration into adipose cells. This study presents a new Drosophila model to investigate the mechanisms underlying these obesity-related pathologies. We employed genetic manipulation to reduce ecdysone levels to prolong the larval stage. These animals are hyperphagic and exhibit features resembling obesity in mammals, including increased lipid storage, adipocyte hypertrophy and high circulating glucose levels. Moreover, we observed significant infiltration of immune cells (hemocytes) into the fat bodies, accompanied by insulin resistance. We found that attenuation of Eiger/TNFα signaling reduced ATM and improved insulin sensitivity. Furthermore, using metformin and the antioxidants anthocyanins, we ameliorated both phenotypes. Our data highlight evolutionarily conserved mechanisms allowing the development of Drosophila models for discovering therapeutic pathways in adipose tissue immune cell infiltration and insulin resistance. Our model can also provide a platform to perform genetic screens or test the efficacy of therapeutic interventions for diseases such as obesity, type 2 diabetes and non-alcoholic fatty liver disease.
PubMed ID
PubMed Central ID
PMC10651092 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Dis. Model Mech.
    Title
    Disease models & mechanisms
    ISBN/ISSN
    1754-8403 1754-8411
    Data From Reference
    Alleles (10)
    Chemicals (3)
    Genes (16)
    Human Disease Models (3)
    Natural transposons (1)
    Insertions (1)
    Transgenic Constructs (3)