Xiong Yulan, Yu Jianzhong
Department of Anatomy and Physiology, Kansas State University College of Veterinary Medicine, Manhattan, KS, United States.
Front Neurol. 2018 Apr 9;9:228. doi: 10.3389/fneur.2018.00228. eCollection 2018.
Parkinson's disease (PD) is recognized as the second most common neurodegenerative disorder after Alzheimer's disease. Unfortunately, there is no cure or proven disease modifying therapy for PD. The recent discovery of a number of genes involved in both sporadic and familial forms of PD has enabled disease modeling in easily manipulable model systems. Various model systems have been developed to study the pathobiology of PD and provided tremendous insights into the molecular mechanisms underlying dopaminergic neurodegeneration. Among all the model systems, the power of has revealed many genetic factors involved in the various pathways, and provided potential therapeutic targets. This review focuses on models of PD, with emphasis on how models have provided new insights into the mutations of dominant genes causing PD and what are the convergent mechanisms.
帕金森病（PD）被认为是仅次于阿尔茨海默病的第二常见神经退行性疾病。不幸的是，目前尚无治愈方法或经证实的疾病修饰疗法用于治疗PD。最近发现了许多与散发性和家族性PD相关的基因，这使得在易于操作的模型系统中进行疾病建模成为可能。已经开发了各种模型系统来研究PD的病理生物学，并为多巴胺能神经变性的分子机制提供了深刻见解。在所有模型系统中，[具体模型系统名称]的作用揭示了许多参与各种途径的遗传因素，并提供了潜在的治疗靶点。本综述重点关注PD的[具体模型系统名称]模型，重点阐述[具体模型系统名称]模型如何为导致PD的显性基因突变提供新见解以及有哪些共同机制。
