ACS Chem Neurosci. 2020 Mar 18;11(6):888-899. doi: 10.1021/acschemneuro.9b00577. Epub 2020 Feb 28.
Recent optical observations of dopamine at axon terminals and kinetic modeling of evoked dopamine responses measured by fast scan cyclic voltammetry (FSCV) support local restriction of dopamine diffusion at synaptic release sites. Yet, how this diffusion barrier affects synaptic and volume transmission is unknown. Here, a deficiency in a previous kinetic model's fitting of stimulus trains is remedied by replacing an earlier assumption that dopamine transporters (DATs) are present only on the outer side of the diffusion barrier with the assumption that they are present on both sides. This is consistent with the known distribution of DATs, which does not show obvious DAT-free zones proximal to dopamine release sites. A simultaneous multifitting strategy is then shown to enable unique model fits to sets of evoked dopamine FSCV responses acquired or in brain slices. This data analysis technique permits, for the first time, the calculation of the fraction of dopamine which spills over from what appears to be the perisynaptic space, as well as other parameters such as dopamine release, release plasticity, and uptake. This analysis shows that dopamine's diffusion away from its release sites is remarkably hindered (τ = 5 s), but dopamine responses are rapid because of DAT activity. Furthermore, the new analysis reveals that uptake inhibitors can inhibit dopamine release during a stimulus train, apparently by depleting the releasable pool. It is suggested that ongoing uptake is critical for maintaining ongoing synaptic dopamine release and that the previously reported and also herein claimed increase of the dopamine release of some uptake inhibitors might be an important mechanism in addiction. Finally, brain mapping data reveal that the diffusion barrier is conserved, but there are variations in perisynaptic uptake, volume transmission, and release plasticity within the rat striatum. Therefore, an analysis paradigm is developed to quantify previously unmeasured features of brain dopaminergic transmission and to reveal regional functional differences among dopamine synapses.
最近对轴突末梢多巴胺的光学观察以及通过快速扫描循环伏安法(FSCV)测量的诱发多巴胺反应的动力学建模支持多巴胺在突触释放位点的扩散受到局部限制。然而,这种扩散障碍如何影响突触和容积传递尚不清楚。在这里,通过用假设多巴胺转运蛋白(DATs)不仅存在于扩散屏障的外侧,而且存在于两侧,来替代先前模型拟合刺激序列的一个假设的不足,从而纠正了先前动力学模型拟合的不足。这与 DATs 的已知分布一致,DATs 的分布在多巴胺释放位点附近没有明显的 DAT 自由区。然后,展示了一种同时的多拟合策略,使独特的模型能够拟合从获得的诱发多巴胺 FSCV 反应或脑切片中获取的一组反应。这种数据分析技术首次允许计算似乎从突触周围空间溢出的多巴胺的分数,以及其他参数,如多巴胺释放、释放可塑性和摄取。该分析表明,多巴胺从其释放位点扩散的速度非常缓慢(τ = 5 s),但由于 DAT 活性,多巴胺反应非常迅速。此外,新的分析表明,摄取抑制剂可以在刺激序列期间抑制多巴胺的释放,这显然是通过耗尽可释放的池来实现的。据推测,持续摄取对于维持持续的突触多巴胺释放至关重要,并且先前报道的和本文声称的一些摄取抑制剂增加多巴胺释放可能是成瘾的一个重要机制。最后,脑图谱数据显示扩散屏障是保守的,但在大鼠纹状体中,突触周围摄取、容积传递和释放可塑性存在差异。因此,开发了一种分析范式来量化脑多巴胺传递中以前无法测量的特征,并揭示多巴胺突触之间的区域功能差异。