Modular, in-situ probes of brain chemistry

大脑化学的模块化原位探针

基本信息

项目摘要

Summary. While the established electrochemical and microdialysis-based techniques for measuring drugs and neurotransmitters in the brain have unimpeachably contributed to our understanding of brain function, they are not without limitations. For example, when the same dose of cocaine is infused over 5 s versus 90 s the behavioral, metabolic, and even genetic outcomes vary dramatically, suggesting that the 2 min resolution of the most highly resolved of prior in-brain cocaine measurements are poorly matched to timescale of the drug's psychobiology. More generally, no drugs and only a small number of neurotransmitters have been measured to date in the brain with the most behaviorally relevant seconds time resolution. In response, our vision is to adapt electrochemical aptamer-based (E-AB) sensors, an in-vivo measurement platform that does not rely on the chemical or enzymatic reactivity of its targets (thus ensuring generality), to the problem of simultaneously monitoring drugs of abuse and the neurotransmitters they modulate in situ in the brains of freely moving, normally behaving rodents. To this end, we have already demonstrated feasibility by performing the high frequency, multi-hour measurement of more than a half dozen molecules in the blood and brains of live rats. Leveraging these preliminary results we propose here the adaptation of E-AB sensors to the problem of studying of brain chemistry. If successful, the proposed work will greatly expand the number of neurochemically relevant molecules that can be measured in real time and with second resolution in the living brain, thus creating a new window into brain chemistry that provides unique capabilities for closed-loop study and intervention.
总结。同时建立了基于电化学和微透析的药物测定技术

项目成果

期刊论文数量(0)
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Tod Edward Kippin其他文献

Estradiol increases choice of cocaine over food in male rats: The effect of estradiol on cocaine choice generalizes to both sexes
  • DOI:
    10.1016/j.drugalcdep.2016.08.050
  • 发表时间:
    2017-02-01
  • 期刊:
  • 影响因子:
  • 作者:
    Jared Robert Bagley;Tod Edward Kippin
  • 通讯作者:
    Tod Edward Kippin
Real-time, continuous electrochemical monitoring of drugs in vivo
  • DOI:
    10.1016/j.drugalcdep.2016.08.568
  • 发表时间:
    2017-02-01
  • 期刊:
  • 影响因子:
  • 作者:
    Philip Vieira;Netzahualcóyotl Arroyo Currás;Jacob Somerson;Kyle Ploense;Kevin Plaxco;Tod Edward Kippin
  • 通讯作者:
    Tod Edward Kippin

Tod Edward Kippin的其他文献

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{{ truncateString('Tod Edward Kippin', 18)}}的其他基金

Metal-free, genetically encoded reporters for calcium recording with MRI
用于 MRI 钙记录的无金属基因编码报告基因
  • 批准号:
    10660042
  • 财政年份:
    2023
  • 资助金额:
    $ 52.34万
  • 项目类别:
Comprehensive, Real Time Monitoring of the Accumulation and Clearance of Small Molecules in Kidney Disease
全面、实时监测肾脏疾病中小分子的积累和清除
  • 批准号:
    10863011
  • 财政年份:
    2023
  • 资助金额:
    $ 52.34万
  • 项目类别:
Harnessing cooperativity to achieve high-precision in vivo measurements
利用协作性实现高精度体内测量
  • 批准号:
    10745250
  • 财政年份:
    2023
  • 资助金额:
    $ 52.34万
  • 项目类别:
Modular, in-situ probes of brain chemistry
大脑化学的模块化原位探针
  • 批准号:
    10398217
  • 财政年份:
    2020
  • 资助金额:
    $ 52.34万
  • 项目类别:
Modular, in-situ probes of brain chemistry
大脑化学的模块化原位探针
  • 批准号:
    10058192
  • 财政年份:
    2020
  • 资助金额:
    $ 52.34万
  • 项目类别:
Modular, in-situ probes of brain chemistry
大脑化学的模块化原位探针
  • 批准号:
    10612396
  • 财政年份:
    2020
  • 资助金额:
    $ 52.34万
  • 项目类别:
Bio-electrochemical detectors for in vivo continuous monitoring
用于体内连续监测的生物电化学检测器
  • 批准号:
    10394638
  • 财政年份:
    2017
  • 资助金额:
    $ 52.34万
  • 项目类别:
Bio-electrochemical detectors for in vivo continuous monitoring
用于体内连续监测的生物电化学检测器
  • 批准号:
    10625978
  • 财政年份:
    2017
  • 资助金额:
    $ 52.34万
  • 项目类别:
Interactions between prenatal stress and genetics in cocaine responsiveness.
产前应激与可卡因反应性遗传之间的相互作用。
  • 批准号:
    8037211
  • 财政年份:
    2010
  • 资助金额:
    $ 52.34万
  • 项目类别:
Chromatin Remodeling in the Prefrontal Cortex in Cocaine Addiction
可卡因成瘾中前额皮质的染色质重塑
  • 批准号:
    8037810
  • 财政年份:
    2010
  • 资助金额:
    $ 52.34万
  • 项目类别:

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