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Experimental modelling of Alzheimer’s disease for therapeutic screening.

Blaikie, Laura; Kay, Graeme; Maciel, Patricia; Kong Thoo Lin, Paul


Patricia Maciel


Neurodegenerative diseases, including Alzheimer’s disease (AD), pose a significant and urgent challenge to healthcare systems worldwide. With an increasing life expectancy, these progressive age-related disorders are expected to rise exponentially. No cure currently exists for AD, and the aetiology remains poorly understood. Furthermore, AD drug development faces one of the highest failure rates. Thus, a review of the experimental modelling of the disease is crucial to understanding how the current disease models can be applied to gain useful results while also considering their limitations. Disease models include in vitro, in vivo, ex vivo, and in silico systems as well as clinical trials. These systems are important for testing potential therapeutics to advance drug development, in addition to modelling the pathology of the disease to gain a greater understanding of the cause and progression. This review will discuss the current experimental models employed for the study of AD with the aim of providing an overview of how they are used and discuss their benefits and drawbacks as model systems, as well as highlighting the potential future of the experimental modelling of AD.


BLAIKIE, L., KAY, G., MACIEL, P. and KONG THOO LIN, P. 2022. Experimental modelling of Alzheimer’s disease for therapeutic screening. European journal of medicinal chemistry reports [online], 5, article 100044. Available from:

Journal Article Type Review
Acceptance Date Apr 1, 2022
Online Publication Date Apr 22, 2022
Publication Date Aug 31, 2022
Deposit Date Apr 15, 2022
Publicly Available Date Apr 15, 2022
Journal European journal of medicinal chemistry reports
Print ISSN 2772-4174
Electronic ISSN 2772-4174
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 5
Article Number 100044
Keywords Alzheimer’s disease; Neurodegenerative; Model; Drug development; Treatment
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