FB2026_02 , released June 18, 2026
FB2026_02 , released June 18, 2026
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Citation
Saha, M., Rizzo, S.A., Ramanathan, M., Hightower, R.M., Santostefano, K.E., Terada, N., Finkel, R.S., Berg, J.S., Chahin, N., Pacak, C.A., Wagner, R.E., Alexander, M.S., Draper, I., Kang, P.B. (2019). Selective serotonin reuptake inhibitors ameliorate MEGF10 myopathy.  Hum. Mol. Genet. 28(14): 2365--2377.
FlyBase ID
FBrf0242796
Publication Type
Research paper
Abstract
MEGF10 myopathy is a rare inherited muscle disease that is named after the causative gene, MEGF10. The classic phenotype, early onset myopathy, areflexia, respiratory distress and dysphagia, is severe and immediately life-threatening. There are no disease-modifying therapies. We performed a small molecule screen and follow-up studies to seek a novel therapy. A primary in vitro drug screen assessed cellular proliferation patterns in Megf10-deficient myoblasts. Secondary evaluations were performed on primary screen hits using myoblasts derived from Megf10-/- mice, induced pluripotent stem cell-derived myoblasts from MEGF10 myopathy patients, mutant Drosophila that are deficient in the homologue of MEGF10 (Drpr) and megf10 mutant zebrafish. The screen yielded two promising candidates that are both selective serotonin reuptake inhibitors (SSRIs), sertraline and escitalopram. In depth follow-up analyses demonstrated that sertraline was highly effective in alleviating abnormalities across multiple models of the disease including mouse myoblast, human myoblast, Drosophila and zebrafish models. Sertraline also restored deficiencies of Notch1 in disease models. We conclude that SSRIs show promise as potential therapeutic compounds for MEGF10 myopathy, especially sertraline. The mechanism of action may involve the Notch pathway.
PubMed ID
PubMed Central ID
PMC6606856 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Hum. Mol. Genet.
    Title
    Human Molecular Genetics
    Publication Year
    1992-
    ISBN/ISSN
    0964-6906
    Data From Reference
    Chemicals (1)
    Genes (1)
    Human Disease Models (1)