Wang Mengqi, Xiao Linglong, Shi Yifeng, Wu Yaping, Huang Xinyuejia, Wu Yang, Xu Yangyang, Bai Lin, Pan Wei, Zhang Jie, Wang Wei
Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Department of Neurosurgery, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Front Aging Neurosci. 2025 Mar 25;17:1503168. doi: 10.3389/fnagi.2025.1503168. eCollection 2025.
Parkinson's disease (PD) is the second most common neurodegenerative disease. Current understanding of the abnormal neural network in PD is limited, which may be one of the reasons for the lack of effective treatments. Tissue-clearing techniques allow visualization of neurons and gliocytes that form the structural basis of the abnormal neuronal network, thus enabling a deeper understanding of the pathological neuronal network in PD and contributing to the study of therapeutic strategies. The aim of this study was to create pathological maps of PD and perform 3D visualization of the neural network.
We induced the PD model using 6-OHDA and a predesigned rotation test. We then performed tissue-clearing and 3D imaging of the whole-brain and brain slices of the mice using SHIELD and CUBIC.
The rotation test showed that the 6-OHDA group had a significant increase than the sham group. SHIELD results showed a significant reduction in tyrosine hydroxylase (TH) signals in the substantia nigra (SN) + ventral tegmental area (VTA) and caudate putamen (CPu) regions in the 6-OHDA group compared to the sham group. Additionally, we performed 3D imaging and reconstruction of astrocytes, microglia, dopaminergic neurons, and blood vessels in the SN + VTA to visualize the neuronal network.
This study performed 3D imaging of the composition and spatial arrangement of neuronal vascular units at both macroscopic and microscopic levels, laying the foundation for the creation of a whole-brain pathological map of PD. It also provides a basis for exploring unknown neural circuits and visualizing them.
帕金森病(PD)是第二常见的神经退行性疾病。目前对PD中异常神经网络的理解有限,这可能是缺乏有效治疗方法的原因之一。组织透明技术能够使构成异常神经网络结构基础的神经元和神经胶质细胞可视化,从而有助于更深入地了解PD中的病理性神经网络,并为治疗策略的研究提供帮助。本研究的目的是创建PD的病理图谱并对神经网络进行三维可视化。
我们使用6-羟基多巴胺(6-OHDA)和预先设计的旋转试验诱导建立PD模型。然后,我们使用SHIELD和CUBIC对小鼠的全脑和脑切片进行组织透明和三维成像。
旋转试验表明,6-OHDA组的旋转次数比假手术组显著增加。SHIELD结果显示,与假手术组相比,6-OHDA组黑质(SN)+腹侧被盖区(VTA)和尾状核壳核(CPu)区域的酪氨酸羟化酶(TH)信号显著减少。此外,我们对SN + VTA中的星形胶质细胞、小胶质细胞、多巴胺能神经元和血管进行了三维成像和重建,以可视化神经网络。
本研究在宏观和微观层面上对神经元血管单元的组成和空间排列进行了三维成像,为创建PD的全脑病理图谱奠定了基础。它还为探索未知神经回路并使其可视化提供了依据。