Please use this identifier to cite or link to this item: https://doi.org/10.1002/term.2728
Title: Modelling Alzheimer's disease: Insights from in vivo to in vitro three-dimensional culture platforms
Authors: Ranjan V.D.
Qiu L. 
Tan E.K. 
Zeng L. 
Zhang Y.
Keywords: 3D culture models
Alzheimer's disease
animal models
biomaterials
disease models
in vitro models
microfluidics
organoid
Issue Date: 2018
Publisher: John Wiley and Sons Ltd
Citation: Ranjan V.D., Qiu L., Tan E.K., Zeng L., Zhang Y. (2018). Modelling Alzheimer's disease: Insights from in vivo to in vitro three-dimensional culture platforms. Journal of Tissue Engineering and Regenerative Medicine 12 (9) : 1944-1958. ScholarBank@NUS Repository. https://doi.org/10.1002/term.2728
Abstract: Alzheimer's disease (AD) is the most common form of dementia and is characterized by progressive memory loss, impairment of other cognitive functions, and inability to perform activities of daily life. The key to understanding AD aetiology lies in the development of effective disease models, which should ideally recapitulate all aspects pertaining to the disease. A plethora of techniques including in vivo, in vitro, and in silico platforms have been utilized in developing disease models of AD over the years. Each of these approaches has revealed certain essential characteristics of AD; however, none have managed to fully mimic the pathological hallmarks observed in the AD human brain. In this review, we will provide details into the genesis, evolution, and significance of the principal methods currently employed in modelling AD, the advantages and limitations faced in their application, including the headways made by each approach. This review will focus primarily on two-dimensional and three-dimensional in vitro modelling of AD, which during the last few years has made significant breakthroughs in the areas of AD pathology and therapeutic screening. In addition, a glimpse into state-of-the-art neural tissue engineering techniques incorporating biomaterials and microfluidics technologies is provided, which could pave the way for the development of more accurate and comprehensive AD models in the future. � 2018 John Wiley & Sons, Ltd.
Source Title: Journal of Tissue Engineering and Regenerative Medicine
URI: http://scholarbank.nus.edu.sg/handle/10635/148928
ISSN: 19326254
DOI: 10.1002/term.2728
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