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Neural stem cells for disease modeling and evaluation of therapeutics for Tay-Sachs disease

Authors :
Wei Zheng
Daniel S. Ory
Omid Motabar
Xuntian Jiang
Rong Li
Carlos J. Alméciga-Díaz
Jizhong Zou
Amanda Baskfield
Guokai Chen
Luis A. Barrera
Alexander Rodríguez-López
Kirill Gorshkov
Mylinh Vu
Atena Farkhondeh
Angela J. Espejo-Mojica
Billy Lu
Juan J. Marugan
Jeanette Beers
Source :
Orphanet Journal of Rare Diseases, Vol 13, Iss 1, Pp 1-15 (2018)
Publication Year :
2018
Publisher :
Springer Science and Business Media LLC, 2018.

Abstract

Background Tay-Sachs disease (TSD) is a rare neurodegenerative disorder caused by autosomal recessive mutations in the HEXA gene on chromosome 15 that encodes β-hexosaminidase. Deficiency in HEXA results in accumulation of GM2 ganglioside, a glycosphingolipid, in lysosomes. Currently, there is no effective treatment for TSD. Results We generated induced pluripotent stem cells (iPSCs) from two TSD patient dermal fibroblast lines and further differentiated them into neural stem cells (NSCs). The TSD neural stem cells exhibited a disease phenotype of lysosomal lipid accumulation. The Tay-Sachs disease NSCs were then used to evaluate the therapeutic effects of enzyme replacement therapy (ERT) with recombinant human Hex A protein and two small molecular compounds: hydroxypropyl-β-cyclodextrin (HPβCD) and δ-tocopherol. Using this disease model, we observed reduction of lipid accumulation by employing enzyme replacement therapy as well as by the use of HPβCD and δ-tocopherol. Conclusion Our results demonstrate that the Tay-Sachs disease NSCs possess the characteristic phenotype to serve as a cell-based disease model for study of the disease pathogenesis and evaluation of drug efficacy. The enzyme replacement therapy with recombinant Hex A protein and two small molecules (cyclodextrin and tocopherol) significantly ameliorated lipid accumulation in the Tay-Sachs disease cell model.

Details

ISSN :
17501172
Volume :
13
Database :
OpenAIRE
Journal :
Orphanet Journal of Rare Diseases
Accession number :
edsair.doi.dedup.....d0a458f4d971b7bce449d6bb36e6240e
Full Text :
https://doi.org/10.1186/s13023-018-0886-3