4.7 Article

Rescuing compounds for Lesch-Nyhan disease identified using stem cell-based phenotypic screening

期刊

JCI INSIGHT
卷 5, 期 4, 页码 -

出版社

AMER SOC CLINICAL INVESTIGATION INC
DOI: 10.1172/jci.insight.132094

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资金

  1. French Ministry of Science and Technology
  2. Association Francaise contre les Myopathies (AFM-Telethon)
  3. Investissements d'Avenir [ANR-11-INBS-0009, ANR-11-INBS-0011-NeurATRIS]
  4. patient and family association Lesch-Nyhan Action
  5. Agence Nationale de la Recherche (ANR) [ANR-11-INBS-0009] Funding Source: Agence Nationale de la Recherche (ANR)

向作者/读者索取更多资源

Lesch-Nyhan disease (LND) is a rare monogenic disease caused by deficiency of the salvage pathway enzyme hypoxanthine-guanine phosphoribosyltransferase (HGPRT). LND is characterized by severe neuropsychiatric symptoms that currently cannot be treated. Predictive in vivo models are lacking for screening and evaluating candidate drugs because LND-associated neurological symptoms are not recapitulated in HGPRT-deficient animals. Here, we used human neural stem cells and neurons derived from induced pluripotent stem cells (iPSCs) of children affected with LND to identify neural phenotypes of interest associated with HGPRT deficiency to develop a target-agnostic-based drug screening system. We screened more than 3000 molecules and identified 6 pharmacological compounds, all possessing an adenosine moiety, that corrected HGPRT deficiency-associated neuronal phenotypes by promoting metabolism compensations in an HGPRT-independent manner. This included S-adenosylmethionine, a compound that had already been used as a compassionate approach to ease the neuropsychiatric symptoms in LND. Interestingly, these compounds compensate abnormal metabolism in a manner complementary to the gold standard allopurinol and can be provided to patients with LND via simple food supplementation. This experimental paradigm can be easily adapted to other metabolic disorders affecting normal brain development and functioning in the absence of a relevant animal model.

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