Modeling late-onset Alzheimer’s disease neuropathology via direct neuronal reprogramming
Zhao Sun, Ji‐Sun Kwon, Yudong Ren, Shawei Chen, Courtney K. Walker, Xinguo Lu, K. Lynn Cates, Hande Karahan, Sanja Sviben, James A. J. Fitzpatrick, Clarissa Valdez, Henry Houlden, Celeste M. Karch, Randall J. Bateman, Chihiro Sato, Steven Mennerick, Marc I. Diamond, Jungsu Kim, Rudolph E. Tanzi, David M. Holtzman, Andrew S. Yoo
Abstract
Late-onset Alzheimer's disease (LOAD) is the most common form of Alzheimer's disease (AD). However, modeling sporadic LOAD that endogenously captures hallmark neuronal pathologies such as amyloid-β (Aβ) deposition, tau tangles, and neuronal loss remains an unmet need. We demonstrate that neurons generated by microRNA (miRNA)-based direct reprogramming of fibroblasts from individuals affected by autosomal dominant AD (ADAD) and LOAD in a three-dimensional environment effectively recapitulate key neuropathological features of AD. Reprogrammed LOAD neurons exhibit Aβ-dependent neurodegeneration, and treatment with β- or γ-secretase inhibitors before (but not subsequent to) Aβ deposit formation mitigated neuronal death. Moreover inhibiting age-associated retrotransposable elements in LOAD neurons reduced both Aβ deposition and neurodegeneration. Our study underscores the efficacy of modeling late-onset neuropathology of LOAD through high-efficiency miRNA-based neuronal reprogramming.