کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8841178 | 1614707 | 2018 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Long-term Changes in the Nigrostriatal Pathway in the MPTP Mouse Model of Parkinson's Disease
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب (عمومی)
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چکیده انگلیسی
Parkinson's disease (PD) is a common and progressive neurodegenerative disorder. The 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) mouse model of PD is widely used to study the progression of this disease. Behavior impairment is closely related to the damage of the dopaminergic system in the basal ganglia. Here, MPTP-induced changes in mouse behavior and glial activation were evaluated at different time points after the treatment and the long-term changes in the nigrostriatal pathway were analyzed. We found that mice exposed to MPTP displayed a full recovery in the rotarod test and the pole test but not in the wire hanging test at 65â¯days post-injection. A biphasic activation of microglial cells was revealed in the nigrostriatal pathway of MPTP-treated mice. However, activation of astrocytes displayed an approximately bell-shaped kinetics and an approximately S-shaped kinetics in the striatum and the substantia nigra, respectively. In addition, the numbers of complement component 3 (C3)-positive neurotoxic astrocytes in the substantia nigra of MPTP-treated mice increased with time and reached a maximum at 42â¯days, and declined at 74â¯days, after the treatment. Three months later, the dopaminergic system was partially recovered from the lesion of MPTP. The time course of pathophysiological events has important implications for the interventions or treatment of PD.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neuroscience - Volume 369, 15 January 2018, Pages 303-313
Journal: Neuroscience - Volume 369, 15 January 2018, Pages 303-313
نویسندگان
Dongping Huang, Zishan Wang, Jiabin Tong, Mo Wang, Jinghui Wang, Jing Xu, Xiaochen Bai, Heng Li, Yulu Huang, Yufei Wu, Yuanyuan Ma, Mei Yu, Fang Huang,