Guo Wenting, Fumagalli Laura, Prior Robert, Van Den Bosch Ludo
KU Leuven-Department of Neurosciences, Experimental Neurology and Leuven Institute for Neuroscience and Disease, Leuven, Belgium.
Laboratory of Neurobiology, VIB & KU Leuven Center for Brain & Disease Research, Leuven, Belgium.
Front Neurosci. 2017 Dec 13;11:671. doi: 10.3389/fnins.2017.00671. eCollection 2017.
Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are two age-dependent multifactorial neurodegenerative disorders, which are typically characterized by the selective death of motor neurons and cerebral cortex neurons, respectively. These two diseases share many clinical, genetic and pathological aspects. During the past decade, cell reprogramming technologies enabled researchers to generate human induced pluripotent stem cells (iPSCs) from somatic cells. This resulted in the unique opportunity to obtain specific neuronal and non-neuronal cell types from patients which could be used for basic research. Moreover, these models can mimic not only the familial forms of ALS/FTD, but also sporadic cases without known genetic cause. At present, there have been extensive technical advances in the generation of iPSCs, as well as in the differentiation procedures to obtain iPSC-derived motor neurons, cortical neurons and non-neuronal cells. The major challenge at this moment is to determine whether these iPSC-derived cells show relevant phenotypes that recapitulate complex diseases. In this review, we will summarize the work related to iPSC models of ALS and FTD. In addition, we will discuss potential drawbacks and solutions for establishing more trustworthy iPSC models for both ALS and FTD.
肌萎缩侧索硬化症(ALS)和额颞叶痴呆(FTD)是两种与年龄相关的多因素神经退行性疾病,其典型特征分别是运动神经元和大脑皮层神经元的选择性死亡。这两种疾病在临床、遗传和病理方面有许多共同之处。在过去十年中,细胞重编程技术使研究人员能够从体细胞中生成人类诱导多能干细胞(iPSC)。这为从患者身上获取特定的神经元和非神经元细胞类型提供了独特的机会,可用于基础研究。此外,这些模型不仅可以模拟家族性形式的ALS/FTD,还可以模拟无已知遗传病因的散发性病例。目前,在iPSC的生成以及获得iPSC衍生的运动神经元、皮层神经元和非神经元细胞的分化程序方面已经取得了广泛的技术进展。目前的主要挑战是确定这些iPSC衍生的细胞是否表现出能够概括复杂疾病的相关表型。在这篇综述中,我们将总结与ALS和FTD的iPSC模型相关的工作。此外,我们将讨论建立更可靠的ALS和FTD的iPSC模型的潜在缺点和解决方案。