Samaranayake Srimal, Abdalla Aya, Robke Rhiannon, Wood Kevin M, Zeqja Anisa, Hashemi Parastoo
Department of Chemistry, Wayne State University, Detroit, USA.
Analyst. 2015 Jun 7;140(11):3759-65. doi: 10.1039/c5an00313j.
Histamine plays a major role in the mediation of allergic reactions such as peripheral inflammation. This classical monoamine is also a neurotransmitter involved in the central nervous system but its role in this context is poorly understood. Studying histamine neurotransmission is important due to its implications in many neurological disorders. The sensitivity, selectivity and high temporal resolution of fast scan cyclic voltammetry (FSCV) offer many advantages for studying electroactive neurotransmitters. Histamine has previously been studied with FSCV; however, the lack of a robust Faradaic electrochemical signal makes it difficult to selectively identify histamine in complex media, as found in vivo. In this work, we optimize an electrochemical waveform that provides a stimulation-locked and unique electrochemical signal towards histamine. We describe in vitro waveform optimization and a novel in vivo physiological model for stimulating histamine release in the mouse premammillary nucleus via stimulation of the medial forebrain bundle. We demonstrate that a robust signal can be used to effectively identify histamine and characterize its in vivo kinetics.
组胺在介导诸如外周炎症等过敏反应中起主要作用。这种经典的单胺也是一种参与中枢神经系统的神经递质,但其在这种情况下的作用却知之甚少。由于组胺神经传递与许多神经系统疾病有关,因此对其进行研究具有重要意义。快速扫描循环伏安法(FSCV)的灵敏度、选择性和高时间分辨率为研究电活性神经递质提供了许多优势。此前已使用FSCV对组胺进行过研究;然而,由于缺乏强大的法拉第电化学信号,在体内复杂介质中难以选择性地识别组胺。在这项工作中,我们优化了一种电化学波形,该波形可提供针对组胺的刺激锁定且独特的电化学信号。我们描述了体外波形优化以及一种通过刺激内侧前脑束来刺激小鼠乳头前核中组胺释放的新型体内生理模型。我们证明,一个强大的信号可用于有效识别组胺并表征其体内动力学。