| Autor: |
Ece Kocagoncu, Kanisa Arunasalam, Jennifer Lawson, Ivan Koychev, Paresh Malhotra, James B. Rowe, Tharani Chessell, Emma Mee Hayes, Zameel M. Cader, Richard Wade-Martins, Basil H. Ridha, Elena M. Ribe, Bryan Ng, Tina Wei, Noel J. Buckley, Helen Rowland, Anne Hedegaard, Alan J. Thomas, Roger N. Gunn, Dominic Ffytche, Dennis Chan, Giovanna Zamboni, Simon Lovestone |
| Rok vydání: |
2021 |
| Předmět: |
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| DOI: |
10.1101/2021.11.09.467891 |
| Popis: |
Establishing preclinical models of Alzheimer’s disease that predict clinical outcomes remains a critically important, yet to date not fully realised, goal. Models derived from human cells offer considerable advantages over non-human models, including the potential to reflect some of the inter-individual differences that are apparent in patients. Here we report an approach using induced pluripotent stem cell-derived cortical neurons from people with early symptomatic Alzheimer’s disease where we sought a match between individual disease characteristics in cells with analogous characteristics in the people from whom they were derived. We show that the response to amyloid-β burden in life, as measured by cognitive decline and brain activity levels, varies between individuals and this vulnerability rating correlates with the individual cellular vulnerability to extrinsic amyloid-β in vitro as measured by synapse loss and function. Our findings indicate that patient induced pluripotent stem cell-derived cortical neurons not only present key aspects of Alzheimer’s disease pathology, but also reflect key aspects of the clinical phenotypes of the same patients. Cellular models that reflect an individual’s in-life clinical vulnerability thus represent a tractable method of Alzheimer’s disease modelling using clinical data in combination with cellular phenotypes. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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