Generating Late-Onset Human iPSC-Based Disease Models by Inducing Neuronal Age-Related Phenotypes through Telomerase Manipulation

Abstract

Modeling late-onset disorders such as Parkinson’s disease (PD) using iPSC technology remains a challenge, as current differentiation protocols yield cells with the properties of fetal-stage cells. Here, we tested whether it is possible to accelerate aging in vitro to trigger late-onset disease phenotypes in an iPSC model of PD. In order to manipulate a factor that is involved in natural aging as well as in premature aging syndromes, we used telomere shortening as an age-inducing tool. We show that shortened telomeres result in age-associated as well as potentially disease-associated phenotypes in human pluripotent stem cell (hPSC)-derived midbrain dopamine (mDA) neurons. Our approach provides proof of concept for the further validation of telomere shortening as an induced-aging tool for late-onset-disease modeling.

Keywords

• aging
• neuronal aging
• induced aging
• disease modeling
• late-onset disease
• telomerase
• telomeres
• iPSC