کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5737411 | 1614720 | 2017 | 39 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
FGF18 protects against 6-hydroxydopamine-induced nigrostriatal damage in a rat 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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![عکس صفحه اول مقاله: FGF18 protects against 6-hydroxydopamine-induced nigrostriatal damage in a rat model of Parkinson's disease FGF18 protects against 6-hydroxydopamine-induced nigrostriatal damage in a rat model of Parkinson's disease](/preview/png/5737411.png)
چکیده انگلیسی
Dopaminergic neuronal injury in the substantia nigra (SN) is a pathological hallmark of Parkinson's disease (PD). However, the underlying mechanism of this injury remains elusive. Since fibroblast growth factor 18 (FGF18) is involved in midbrain development and has been reported to protect neurons from ischemic injury, we investigated whether FGF18 exerted a protective effect on dopaminergic neurons in the SN. In vitro data showed that FGF18 significantly ameliorated the neurotoxicity of 6-hydroxydopamine (6-OHDA) through the AKT/GSK3β signaling pathway. Further study of the 6-OHDA-induced PD rat model indicated that FGF18 improved the behavioral dysfunction in PD rats and reduced the tyrosine hydroxylase (TH)-positive neuronal loss in the SN. In addition, 6-OHDA induced a loss of TH-positive fibers that was reversed by pretreatment with FGF18. Taken together, these data suggest that FGF18 plays a protective role against parkinsonian neurodegeneration in the nigrostriatal system in a 6-OHDA-induced PD rat model and that further drug discovery based on FGF18 has a potential role for PD therapy.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neuroscience - Volume 356, 25 July 2017, Pages 229-241
Journal: Neuroscience - Volume 356, 25 July 2017, Pages 229-241
نویسندگان
Xingzhi Guo, Tingting Liu, Diandian Zhao, Xiaofeng Wang, Dongmei Liu, Yang He, Chang Shan, Yingying Kong, Weiwei Hu, Bei Tao, Lihao Sun, Hongyan Zhao, Shengtian Li, Jianmin Liu,