Scientific article
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Optimization of thymidine kinase-based safety switch for neural cell therapy

Published inCells, vol. 11, no. 3, 502
Publication date2022-01-31
First online date2022-01-31
Abstract

Cell therapies based on pluripotent stem cells (PSC), have opened new therapeutic strategies for neurodegenerative diseases. However, insufficiently differentiated PSC can lead to tumor formation. Ideally, safety switch therapies should selectively kill proliferative transplant cells while preserving post-mitotic neurons. In this study, we evaluated the potential of nucleoside analogs and thymidine kinase-based suicide genes. Among tested thymidine kinase variants, the humanized SR39 (SR39h) variant rendered cells most sensitive to suicide induction. Unexpectedly, post-mitotic neurons with ubiquitous SR39h expression were killed by ganciclovir, but were spared when SR39h was expressed under the control of the cell cycle-dependent Ki67 promoter. The efficacy of six different nucleoside analogs to induce cell death was then evaluated. Penciclovir (PCV) showed the most interesting properties with an efficiency comparable to ganciclovir (GCV), but low toxicity. We tested three nucleoside analogs in vivo: at concentrations of 40 mg/kg/day, PCV and GCV prevented tumor formation, while acyclovir (ACV) did not. In summary, SR39h under the control of a cell cycle-dependent promoter appears most efficient and selective as safety switch for neural transplants. In this setting, PCV and GCV are efficient inducers of cell death. Because of its low toxicity, PCV might become a preferred alternative to GCV.

Keywords
  • SR39
  • Penciclovir
  • Pluripotent stem cell therapy
  • Post-transplantation tumor
  • Teratoma
Citation (ISO format)
LOCATELLI, Manon et al. Optimization of thymidine kinase-based safety switch for neural cell therapy. In: Cells, 2022, vol. 11, n° 3, p. 502. doi: 10.3390/cells11030502
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Additional URL for this publicationhttps://www.mdpi.com/2073-4409/11/3/502
Journal ISSN2073-4409
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111downloads

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Creation10/03/2022 10:23:00
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