Familial Alzheimer’s disease patient-derived neurons reveal distinct mutation-specific effects on amyloid beta

Charles Arber(National Hospital for Neurology and Neurosurgery), Jamie Toombs(UK Dementia Research Institute), Christopher Lovejoy(National Hospital for Neurology and Neurosurgery), Natalie S. Ryan(UK Dementia Research Institute), Ross W. Paterson(UK Dementia Research Institute), Nanet Willumsen(National Hospital for Neurology and Neurosurgery), Eleni Gkanatsiou(University of Gothenburg), Erik Portelius(Sahlgrenska University Hospital), Kaj Blennow(Sahlgrenska University Hospital), Amanda Heslegrave(UK Dementia Research Institute), Jonathan M. Schott(UK Dementia Research Institute), John Hardy(UK Dementia Research Institute), Tammaryn Lashley(National Hospital for Neurology and Neurosurgery), Nick C. Fox(UK Dementia Research Institute), Henrik Zetterberg(Sahlgrenska University Hospital), Selina Wray(MRC Prion Unit)
Molecular Psychiatry
April 12, 2019
Cited by 154Open Access
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Abstract

Familial Alzheimer's disease (fAD) mutations alter amyloid precursor protein (APP) cleavage by γ-secretase, increasing the proportion of longer amyloidogenic amyloid-β (Aβ) peptides. Using five control induced pluripotent stem cell (iPSC) lines and seven iPSC lines generated from fAD patients, we investigated the effects of mutations on the Aβ secretome in human neurons generated in 2D and 3D. We also analysed matched CSF, post-mortem brain tissue, and iPSCs from the same participant with the APP V717I mutation. All fAD mutation lines demonstrated an increased Aβ42:40 ratio relative to controls, yet displayed varied signatures for Aβ43, Aβ38, and short Aβ fragments. We propose four qualitatively distinct mechanisms behind raised Aβ42:40. (1) APP V717I mutations alter γ-secretase cleavage site preference. Whereas, distinct presenilin 1 (PSEN1) mutations lead to either (2) reduced γ-secretase activity, (3) altered protein stability or (4) reduced PSEN1 maturation, all culminating in reduced γ-secretase carboxypeptidase-like activity. These data support Aβ mechanistic tenets in a human physiological model and substantiate iPSC-neurons for modelling fAD.


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