Induced Pluripotent Stem Cell-Derived Neural Culture Model of Alzheimer’s Disease: A 3D Organoid Approach

2022 ◽  
Vol 12 (5) ◽  
pp. 888-896
Wenjuan Fan ◽  
Chen Xudong ◽  
Sun Yizheng ◽  
Shanshan Wu ◽  
Haili Wang ◽  

Alzheimer’s disease (AD) is a progressive neurologic disorder that impacts a diverse population of older adults. As three-dimensional (3D) models are powerful tools for advancing AD studies, the authors have been developed AD cortical organoids to enable the observation of AD pathology at the cellular, tissue, and organ levels. For creating the model, APPSwe/Ind (APP) and PSEN1 (PS1) mutant genes were transfected into mouse induced pluripotent stem cells (iPSCs) following which the iPSC lines that expressed mutant APP and PS1 proteins were obtained. Then, using modified serum-free suspended embryoid body culture, AD cerebral organoids were made successfully at various ages. The AD model can show AD’s biochemical and pathological alterations, such as overexpressions of Aβ40 and Aβ42 and a decrease of GABAergic interneurons. The proposed model has the potential for implementation in many biomedical applications, including AD drug screening, stem cell transplant, and neuronal tissue engineering.

2020 ◽  
Sally Esmail ◽  
Wayne Danter

Abstract Alzheimer's disease (AD) is the most common type of neurodegenerative diseases. There are over 44 million people living with the disease worldwide. While there are currently no effective treatments for AD, induced pluripotent stem cell-derived brain organoids have the potential to provide a better understanding of Alzheimer’s pathogenesis. Nevertheless, developing brain organoid models is expensive, time consuming and often does not reflect disease progression. Using accurate and inexpensive computer simulations of human brain organoids can overcome the current limitations. Induced whole brain organoids (aiWBO) will greatly expand our ability to model AD and can guide wet lab research. In this study, we have successfully developed and validated artificially induced a whole brain organoid platform (NEUBOrg) using our previously validated machine learning platform, DeepNEU (v6.1). Using NEUBorg platform, we have generated aiWBO simulations of AD and provided a novel approach to test genetic risk factors associated with AD progression and pathogenesis.

2016 ◽  
Vol 17 (1) ◽  
pp. 72-74 ◽  
Anna Ochalek ◽  
Csilla Nemes ◽  
Eszter Varga ◽  
Zsuzsanna Táncos ◽  
Julianna Kobolák ◽  

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