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黑质网状部的状态转变可预测小鼠进行性多巴胺耗竭模型中运动缺陷的发生。

State transitions in the substantia nigra reticulata predict the onset of motor deficits in models of progressive dopamine depletion in mice.

机构信息

Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, United States.

Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, United States.

出版信息

Elife. 2019 Mar 6;8:e42746. doi: 10.7554/eLife.42746.

Abstract

Parkinson's disease (PD) is a progressive neurodegenerative disorder whose cardinal motor symptoms are attributed to dysfunction of basal ganglia circuits under conditions of low dopamine. Despite well-established physiological criteria to define basal ganglia dysfunction, correlations between individual parameters and motor symptoms are often weak, challenging their predictive validity and causal contributions to behavior. One limitation is that basal ganglia pathophysiology is studied only at end-stages of depletion, leaving an impoverished understanding of when deficits emerge and how they evolve over the course of depletion. In this study, we use toxin- and neurodegeneration-induced mouse models of dopamine depletion to establish the physiological trajectory by which the substantia nigra reticulata (SNr) transitions from the healthy to the diseased state. We find that physiological progression in the SNr proceeds in discrete state transitions that are highly stereotyped across models and correlate well with the prodromal and symptomatic stages of behavior.

摘要

帕金森病(PD)是一种进行性神经退行性疾病,其主要运动症状归因于多巴胺水平降低时基底神经节回路的功能障碍。尽管有明确的生理标准来定义基底神经节功能障碍,但个体参数与运动症状之间的相关性通常较弱,这使得它们的预测有效性和对行为的因果贡献受到挑战。一个限制是,基底神经节的病理生理学仅在耗竭的终末期进行研究,这使得我们对缺陷何时出现以及它们在耗竭过程中如何演变的理解非常有限。在这项研究中,我们使用毒素和神经退行性变诱导的多巴胺耗竭小鼠模型,建立了黑质网状部(SNr)从健康状态向疾病状态转变的生理轨迹。我们发现,SNr 的生理进展是通过离散的状态转变进行的,这些转变在不同模型中高度刻板,与行为的前驱期和症状期密切相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f015/6402832/92d8f51952a4/elife-42746-fig1.jpg

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