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首页> 外文期刊>Analytical chemistry >In Vivo Ambient Serotonin Measurements at Carbon-Fiber Microelectrodes
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In Vivo Ambient Serotonin Measurements at Carbon-Fiber Microelectrodes

机译:在碳纤维微电极的体内环境中血清素测量

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src="http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/ancham/2017/ancham.2017.89.issue-18/acs.analchem.7b01257/20170913/images/medium/ac-2017-01257j_0009.gif">The mechanisms that control extracellular serotonin levels in vivo are not well-defined. This shortcoming makes it very challenging to diagnose and treat the many psychiatric disorders in which serotonin is implicated. Fast-scan cyclic voltammetry (FSCV) can measure rapid serotonin release and reuptake events but cannot report critically important ambient serotonin levels. In this Article, we use fast-scan controlled adsorption voltammetry (FSCAV), to measure serotonin’s steady-state, extracellular chemistry. We characterize the “Jackson” voltammetric waveform for FSCAV and show highly stable, selective, and sensitive ambient serotonin measurements in vitro. In vivo, we report basal serotonin levels in the CA2 region of the hippocampus as 64.9 ± 2.3 nM (n = 15 mice, weighted average ± standard error). We electrochemically and pharmacologically verify the selectivity of the serotonin signal. Finally, we develop a statistical model that incorporates the uncertainty in in vivo measurements, in addition to electrode variability, to more critically analyze the time course of pharmacological data. Our novel method is a uniquely powerful analysis tool that can provide deeper insights into the mechanisms that control serotonin’s extracellular levels.
机译:src =“http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/ancham/2017/acham.2017.89.issue-18/acs.analchem.7b01257/20170913/images/medium / cap-2017-01257j_0009.gif">控制体内细胞外血红素水平的机制不是明确定义的。这种缺点使得诊断和治疗许多精神病疾病的缺点非常具有挑战性。快速扫描循环伏安法(FSCV)可以测量快速的血清素释放和再摄取事件,但不能报告至关重要的环境血清素水平。在本文中,我们使用快速扫描控制吸附伏安法(FSCAV),测量血清素的稳态,细胞外化学。我们在体外表征了FSCAV的“杰克逊”伏安波形,表现出高度稳定,选择性和敏感的环境中血清素测量。在体内,我们在海马的Ca2区报告基底血清素水平为64.9±2.3nm( n = 15只小鼠,加权平均±标准误差)。我们在电化学和药理学上验证了血清酮信号的选择性。最后,我们开发一种统计模型,除了电极可变性之外,还包括体内测量中的不确定性,更为严重分析药理数据的时间过程。我们的新方法是一种独特的强大的分析工具,可以对控制血清素细胞外水平的机制来提供更深入的洞察力。

著录项

  • 来源
    《Analytical chemistry》 |2017年第18期|共9页
  • 作者单位

    Department of Chemistry and Biochemistry University of South Carolina 631 Sumter Street Columbia South Carolina 29208 United States;

    Department of Research Mayo Clinic Scottsdale Arizona 85453 United States;

    Department of Chemistry and Biochemistry University of South Carolina 631 Sumter Street Columbia South Carolina 29208 United States;

    Department of Chemistry and Biochemistry University of South Carolina 631 Sumter Street Columbia South Carolina 29208 United States;

    Department of Statistics University of South Carolina 1523 Greene Street Columbia South Carolina 29208 United States;

    Department of Statistics University of South Carolina 1523 Greene Street Columbia South Carolina 29208 United States;

    Department of Chemistry and Biochemistry University of South Carolina 631 Sumter Street Columbia South Carolina 29208 United States;

    Department of Chemistry and Biochemistry University of Arizona 1306 East University Blvd. Tucson Arizona 85721 United States;

    Department of Chemistry and Biochemistry University of South Carolina 631 Sumter Street Columbia South Carolina 29208 United States;

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  • 正文语种 eng
  • 中图分类 分析化学;
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