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Hydroxyurea Facilitates Manifestation of Disease Relevant Phenotypes in Patients-Derived IPSCs-Based Modeling of Late-Onset Parkinson's Disease. | LitMetric

AI Article Synopsis

  • Induced pluripotent stem cells (iPSCs) derived from dopaminergic neurons may revert to a fetal state, making it difficult to model late-onset Parkinson's disease (PD).
  • A small molecule called hydroxyurea (HU) was used to induce PD-related characteristics in iPSCs derived from sporadic PD patients.
  • The results showed that HU treatment led to increased endoplasmic reticulum (ER) stress, reduced neurite outgrowth, and altered expression of key proteins, indicating that HU can effectively model disease phenotypes for studying PD mechanisms and testing potential treatments.

Article Abstract

Induced pluripotent stem cells (iPSCs)-derived dopaminergic neurons might be reset back to the fetal state due to reprogramming. Thus, it is a compelling challenge to reliably and efficiently induce disease phenotypes of iPSCs-derived dopaminergic neurons to model late-onset Parkinson's disease (PD). Here, we applied a small molecule, hydroxyurea (HU), to promote the manifestation of disease relevant phenotypes in iPSCs-based modeling of PD. We established two iPS cell lines derived from two sporadic PD patients. Both patients-iPSCs-derived dopaminergic neurons did not display PD relevant phenotypes after 6 weeks culture. HU treatment remarkably induced ER stress on patients-iPSCs-derived dopaminergic neurons. Moreover, HU treatment significantly reduced neurite outgrowth, decreased the expression of p-AKT and its downstream targets (p-4EBP1 and p-ULK1), and increased the expression level of cleaved-Caspase 3 in patients-iPSCs-derived dopaminergic neurons. The findings of the present study suggest that HU administration could be a convenient and reliable approach to induce disease relevant phenotypes in PD-iPSCs-based models, facilitating to study disease mechanisms and test drug effects.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764725PMC
http://dx.doi.org/10.14336/AD.2018.1216DOI Listing

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