Institute of Human Genetics, Julius Maximilian University, Wuerzburg, Germany; Department of Psychiatry & Neuropsychology, Graduate School MHeNS (School for Mental Health and Neuroscience), allocated with the Faculty Health Medicine and Life Sciences of Maastricht University, Maastricht, the Netherlands.
Department of Psychiatry & Neuropsychology, Graduate School MHeNS (School for Mental Health and Neuroscience), allocated with the Faculty Health Medicine and Life Sciences of Maastricht University, Maastricht, the Netherlands.
Neurobiol Learn Mem. 2020 Nov;175:107318. doi: 10.1016/j.nlm.2020.107318. Epub 2020 Sep 22.
The discovery of induced pluripotent stem cell (iPSC) technology has the potential to accelerate scientific research for Alzheimer's disease (AD). iPSCs are therefore increasingly considered for AD modeling and drug development. Nevertheless, most of the work conducted so far has mainly focused on iPSC models from patients with familial AD (fAD), while actually sporadic AD (sAD) is more prevalent and represents over 90% of the AD cases in the population. The development of more sAD models is therefore key for studying this multifactorial disorder. In fact, probing the unique genomes of sAD patients and their interaction with AD-associated environmental factors could contribute to a better understanding of this disease. However, initial iPSC-based models for sAD have shown a high degree of variability and inconsistencies in terms of AD hallmarks. In this review, we provide an overview of the studies that have been conducted for sAD so far. In addition, we critically assess important sources of variability related to the model in addition to those that might be explained by the heterogeneous nature of sAD. These considerations might aid in developing more consistent iPSC models of sAD, which could help in developing a better understanding of the molecular mechanisms underlying the disease.
诱导多能干细胞(iPSC)技术的发现有可能加速阿尔茨海默病(AD)的科学研究。因此,iPSC 越来越多地被用于 AD 模型的建立和药物的开发。然而,迄今为止,大多数工作主要集中在家族性 AD(fAD)患者的 iPSC 模型上,而实际上散发性 AD(sAD)更为普遍,占人群中 AD 病例的 90%以上。因此,开发更多的 sAD 模型对于研究这种多因素疾病至关重要。事实上,探究 sAD 患者的独特基因组及其与 AD 相关环境因素的相互作用,有助于我们更好地理解这种疾病。然而,最初基于 iPSC 的 sAD 模型在 AD 特征方面表现出高度的可变性和不一致性。在这篇综述中,我们概述了迄今为止针对 sAD 所进行的研究。此外,我们还批判性地评估了与模型相关的重要变异性来源,除了那些可能由 sAD 的异质性所解释的变异性来源。这些考虑因素可能有助于开发更一致的 sAD iPSC 模型,从而有助于更好地理解疾病的分子机制。