Behavior-based discovery of small-molecule modulators of neurochemical signaling pathways that underlie addiction

基于行为的成瘾神经化学信号通路小分子调节剂的发现

基本信息

项目摘要

PROJECT SUMMARY Addiction is a complex pathology of neural circuits that function in reward-processing, impulse control, and goal-directed behaviors. Small molecules targeting neuromodulator signaling pathways that function in these circuits are important therapeutics for the treatment of addiction. There is an urgent need to improve the pharmacology used to treat addiction. To address this need, we have developed methods that uses behavior- based screens to interrogate a novel source of natural products for effects on neuromodulator signaling in the nervous system of a microscopic animal - the nematode C. elegans. The natural products that we will screen are microbial metabolites that have eluded detection because they are not expressed under basal conditions but can only be elicited by environmental triggers. This microbial 'dark metabolome' contains small molecules with a wide variety of biological activities. These compounds have not yet been assayed for effects on the animal nervous system, and they constitute a rich and untapped resource for novel psychopharmacology. Through screens designed to demonstrate proof-of-concept, we have already identified compounds that strongly and specifically act on a circuit that uses neuropeptides and serotonin to generate behavior. We have also designed behavior-based screens for novel modulators of dopamine signaling. In addition to providing the opportunity to perform high-throughput behavior-based screens, the powerful genetics of the C. elegans model allows assignment of neuroactive compounds to specific neuromodulator signaling pathways. Successful completion of the aims of this project will generate enhanced and expanded libraries of novel natural products never before assayed for effects on the nervous system, identify novel small-molecule regulators of neural circuits, and match those compounds to specific neuromodulator signaling systems integral to the pathology of addiction.
项目总结 成瘾是一种复杂的神经回路病理,它在奖赏处理、冲动控制和 目标导向型行为。小分子靶向在这些细胞中起作用的神经调节器信号通路 电路是治疗成瘾的重要疗法。目前迫切需要改善 用来治疗成瘾的药理学。为了满足这一需求,我们开发了使用行为的方法- 基于筛选来询问一种新的天然产品来源对神经调节剂信号转导的影响 一种微小动物--线虫的神经系统。我们将筛选的天然产品 是微生物代谢物,因为它们在基础条件下不表达,所以没有被检测到 但只能由环境触发因素引发。这种微生物的“暗代谢体”含有小分子。 具有广泛的生物活性。这些化合物还没有被检测出对 动物神经系统,它们构成了新的精神药理学的丰富和未开发的资源。 通过设计用于演示概念验证的屏幕,我们已经识别出 强烈而特异地作用于使用神经肽和5-羟色胺来产生行为的回路。我们有 还为多巴胺信号的新型调节器设计了基于行为的屏幕。除了提供 有机会进行基于行为的高通量筛查,这是线虫模型的强大遗传学 允许将神经活性化合物分配给特定的神经调节器信号通路。成功 该项目目标的完成将产生增强和扩大的新型天然产品库 以前从未测试过对神经系统的影响,识别新的神经小分子调节剂 电路,并将这些化合物与特定的神经调节器信号系统进行匹配,这些信号系统是高血压病病理过程中不可或缺的组成部分 上瘾。

项目成果

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Christopher Fang-Yen其他文献

Christopher Fang-Yen的其他文献

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{{ truncateString('Christopher Fang-Yen', 18)}}的其他基金

Automated platform for high-throughput genetic analyses in C. elegans
用于线虫高通量遗传分析的自动化平台
  • 批准号:
    10382437
  • 财政年份:
    2020
  • 资助金额:
    $ 60.5万
  • 项目类别:
Automated platform for high-throughput genetic analyses in C. elegans
用于线虫高通量遗传分析的自动化平台
  • 批准号:
    10599857
  • 财政年份:
    2020
  • 资助金额:
    $ 60.5万
  • 项目类别:
Automated platform for high-throughput genetic analyses in C. elegans
用于线虫高通量遗传分析的自动化平台
  • 批准号:
    10161875
  • 财政年份:
    2020
  • 资助金额:
    $ 60.5万
  • 项目类别:
Identification neurons controlling sleep/wake in the nematode C. elegans
识别控制线虫睡眠/觉醒的神经元 秀丽隐杆线虫
  • 批准号:
    8868312
  • 财政年份:
    2015
  • 资助金额:
    $ 60.5万
  • 项目类别:
Controlling neural circuits with single-cell resolution in behaving animals
以单细胞分辨率控制行为动物的神经回路
  • 批准号:
    9275048
  • 财政年份:
    2013
  • 资助金额:
    $ 60.5万
  • 项目类别:
Controlling neural circuits with single-cell resolution in behaving animals
以单细胞分辨率控制行为动物的神经回路
  • 批准号:
    8559985
  • 财政年份:
    2013
  • 资助金额:
    $ 60.5万
  • 项目类别:

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