Simmnacher Katrin, Lanfer Jonas, Rizo Tania, Kaindl Johanna, Winner Beate
Department of Stem Cell Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Front Cell Neurosci. 2020 Jan 17;13:571. doi: 10.3389/fncel.2019.00571. eCollection 2019.
Parkinson's disease (PD) is the most frequently occurring movement disorder, with an increasing incidence due to an aging population. For many years, the post-mortem brain was regarded as the gold standard for the analysis of the human pathology of this disease. However, modern stem cell technologies, including the analysis of patient-specific neurons and glial cells, have opened up new avenues for dissecting the pathologic mechanisms of PD. Most data on morphological changes, such as cell death or changes in neurite complexity, or functional deficits were acquired in 2D and few in 3D models. This review will examine the prerequisites for human disease modeling in PD, covering the generation of midbrain neurons, 3D organoid midbrain models, the selection of controls including genetically engineered lines, and the study of cell-cell interactions. We will present major disease phenotypes in human models of PD, focusing on those phenotypes that have been detected in genetic and sporadic PD models. An additional point covered in this review will be the use of induced pluripotent stem cell (iPSC)-derived technologies to model cell-cell interactions in PD.
帕金森病(PD)是最常见的运动障碍性疾病,随着人口老龄化,其发病率不断上升。多年来,尸检大脑一直被视为分析该疾病人类病理学的金标准。然而,现代干细胞技术,包括对患者特异性神经元和神经胶质细胞的分析,为剖析帕金森病的病理机制开辟了新途径。大多数关于形态学变化的数据,如细胞死亡或神经突复杂性的变化,或功能缺陷,都是在二维模型中获得的,在三维模型中获得的数据很少。本综述将探讨帕金森病人类疾病建模的先决条件,包括中脑神经元的生成、三维类器官中脑模型、包括基因工程系在内的对照的选择,以及细胞间相互作用的研究。我们将展示帕金森病人类模型中的主要疾病表型,重点关注在遗传和散发性帕金森病模型中检测到的那些表型。本综述涵盖的另一个要点将是使用诱导多能干细胞(iPSC)衍生技术对帕金森病中的细胞间相互作用进行建模。