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使用直接神经重编程进行神经退行性疾病建模。

Disease Modeling of Neurodegenerative Disorders Using Direct Neural Reprogramming.

机构信息

Faculty of Pharmacy, Université de Montréal, Montreal, Canada.

出版信息

Cell Reprogram. 2022 Oct;24(5):228-251. doi: 10.1089/cell.2021.0172. Epub 2022 Jun 24.

Abstract

Understanding the pathophysiology of CNS-associated neurological diseases has been hampered by the inaccessibility of patient brain tissue to perform live analyses at the molecular level. To this end, neural cells obtained by differentiation of patient-derived induced pluripotent stem cells (iPSCs) are considerably helpful, especially in the context of monogenic-based disorders. More recently, the use of direct reprogramming to convert somatic cells to neural cells has emerged as an alternative to iPSCs to generate neurons, astrocytes, and oligodendrocytes. This review focuses on the different studies that used direct neural reprogramming to study disease-associated phenotypes in the context of neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis.

摘要

中枢神经系统相关神经疾病的病理生理学一直受到阻碍,因为无法获得患者脑组织来进行分子水平的活体分析。为此,通过分化患者来源的诱导多能干细胞 (iPSC) 获得的神经细胞非常有帮助,特别是在单基因疾病的背景下。最近,使用直接重编程将体细胞转化为神经细胞作为 iPSC 的替代方法来生成神经元、星形胶质细胞和少突胶质细胞已经出现。本综述重点介绍了使用直接神经重编程来研究神经退行性疾病背景下与疾病相关表型的不同研究,包括阿尔茨海默病、帕金森病和肌萎缩侧索硬化症。

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