FB2024_03 , released June 25, 2024
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Citation
Deng, J., Guan, X.X., Zhu, Y.B., Deng, H.T., Li, G.X., Guo, Y.C., Jin, P., Duan, R.H., Huang, W. (2022). Reducing the Excess Activin Signaling Rescues Muscle Degeneration in Myotonic Dystrophy Type 2 Drosophila Model.  J Pers Med 12(3): 385.
FlyBase ID
FBrf0253001
Publication Type
Research paper
Abstract
Expanded non-coding RNA repeats of CCUG are the underlying genetic causes for myotonic dystrophy type 2 (DM2). There is an urgent need for effective medications and potential drug targets that may alleviate the progression of the disease. In this study, 3140 small-molecule drugs from FDA-approved libraries were screened through lethality and locomotion phenotypes using a DM2 Drosophila model expressing 720 CCTG repeats in the muscle. We identified ten effective drugs that improved survival and locomotor activity of DM2 flies, including four that share the same predicted targets in the TGF-β pathway. The pathway comprises two major branches, the Activin and BMP pathways, which play critical and complex roles in skeletal development, maintenance of homeostasis, and regeneration. The Drosophila model recapitulates pathological features of muscle degeneration in DM2, displaying shortened lifespan, a decline in climbing ability, and progressive muscle degeneration. Increased levels of p-smad3 in response to activin signaling were observed in DM2 flies. Decreased levels of activin signaling using additional specific inhibitors or genetic method ameliorated climbing defects, crushed thoraxes, structure, and organization of muscle fibers. Our results demonstrate that a decrease in activin signaling is sufficient to rescue muscle degeneration and is, therefore, a potential therapeutic target for DM2.
PubMed ID
PubMed Central ID
PMC8948895 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    J Pers Med
    Title
    Journal of personalized medicine
    ISBN/ISSN
    2075-4426
    Data From Reference
    Alleles (8)
    Genes (4)
    Human Disease Models (1)
    Insertions (1)
    Transgenic Constructs (7)