Landis Award

兰迪斯奖

基本信息

项目摘要

Project Summary Levodopa-induced dyskinesia (LID) commonly develops during long-term treatment of Parkinson's Disease, affecting most patients after 5-10 years of treatment. The abnormal involuntary movements eventually limit the levodopa dose, and often patients require deep brain stimulation (DBS). The neural mechanisms of LID are not fully understood, but the leading hypothesis is that levodopa triggers aberrant activity in the input nucleus of the basal ganglia, the striatum. Even in the advanced stages of disease, however, levodopa continues to have both therapeutic and pathological effects, promoting normal movement and abnormal involuntary movements. This clinical observation led us to hypothesize that within the striatum, distinct populations of neurons correlate with dyskinetic versus prokinetic (therapeutic) effects of levodopa. Our pilot studies indicate that a substantial fraction of striatal neurons show strong correlations in their activity with either increased normal movement, or dyskinesia, and few neurons correlate with both responses. By understanding the intrinsic and synaptic properties that distinguish these two groups of striatal neurons, subsequent drug development might be able to selectively target movement neurons, relieving motor symptoms of Parkinson's Disease, without affecting dyskinetic neurons and avoiding dyskinesia. Using a combination of awake-behaving single-unit recordings, optogenetics, and ex vivo slice recordings in a mouse model of LID, this proposal aims to (1) characterize striatal direct pathway neuronal responses to levodopa, including identifying units whose firing correlates with dyskinesia, (2) determine whether these neurons cause dyskinesia, and (3) identify the underlying cellular mechanisms (alterations in intrinsic excitability and/or excitatory inputs) that distinguish them. To test the causal role of dyskinesia-correlated striatal units in dyskinesia, we will use the novel transgenic tool, Targeted Recombination in Active Populations (TRAP), which allows capture and subsequent manipulation of previously activated neurons. These studies will provide the first detailed look at whether levodopa triggers therapeutic and dyskinetic effects through two different striatal effector populations, and begin to dissect the underlying cellular and synaptic mechanisms.
项目总结

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Alexandra Nelson其他文献

Alexandra Nelson的其他文献

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{{ truncateString('Alexandra Nelson', 18)}}的其他基金

Striatal Microcircuit Mechanisms of Tardive Dyskinesia
迟发性运动障碍的纹状体微电路机制
  • 批准号:
    10634474
  • 财政年份:
    2023
  • 资助金额:
    $ 16.15万
  • 项目类别:
Striatal Mechanisms of Levodopa-Induced Dyskinesia
左旋多巴引起的运动障碍的纹状体机制
  • 批准号:
    9975924
  • 财政年份:
    2018
  • 资助金额:
    $ 16.15万
  • 项目类别:
Striatal Mechanisms of Levodopa-Induced Dyskinesia
左旋多巴引起的运动障碍的纹状体机制
  • 批准号:
    10161518
  • 财政年份:
    2018
  • 资助金额:
    $ 16.15万
  • 项目类别:
Striatal Mechanisms of Levodopa-Induced Dyskinesia
左旋多巴引起的运动障碍的纹状体机制
  • 批准号:
    10181085
  • 财政年份:
    2018
  • 资助金额:
    $ 16.15万
  • 项目类别:
Striatal Mechanisms of Dyskinesia and Impulse Control in Parkinson’s Disease
帕金森病运动障碍和冲动控制的纹状体机制
  • 批准号:
    10735816
  • 财政年份:
    2018
  • 资助金额:
    $ 16.15万
  • 项目类别:
Striatal Mechanisms of Levodopa-Induced Dyskinesia
左旋多巴引起的运动障碍的纹状体机制
  • 批准号:
    10408107
  • 财政年份:
    2018
  • 资助金额:
    $ 16.15万
  • 项目类别:
Optogenetic dissection of striatal circuits in a mouse model of human dystonia
人类肌张力障碍小鼠模型纹状体回路的光遗传学解剖
  • 批准号:
    8924030
  • 财政年份:
    2014
  • 资助金额:
    $ 16.15万
  • 项目类别:
Optogenetic dissection of striatal circuits in a mouse model of human dystonia
人类肌张力障碍小鼠模型纹状体回路的光遗传学解剖
  • 批准号:
    9114179
  • 财政年份:
    2014
  • 资助金额:
    $ 16.15万
  • 项目类别:
Optogenetic dissection of striatal circuits in a mouse model of human dystonia
人类肌张力障碍小鼠模型纹状体回路的光遗传学解剖
  • 批准号:
    8535857
  • 财政年份:
    2012
  • 资助金额:
    $ 16.15万
  • 项目类别:
Optogenetic dissection of striatal circuits in a mouse model of human dystonia
人类肌张力障碍小鼠模型纹状体回路的光遗传学解剖
  • 批准号:
    8425906
  • 财政年份:
    2012
  • 资助金额:
    $ 16.15万
  • 项目类别:

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