Department of Neurobiology and Collaborative Innovation Center for Brain Science, Fourth Military Medical University, Xi'an 710032, China.
Int J Mol Sci. 2018 Jan 5;19(1):161. doi: 10.3390/ijms19010161.
Sensory neuron types have been distinguished by distinct morphological and transcriptional characteristics. Excitability is the most fundamental functional feature of neurons. Mathematical models described by Hodgkin have revealed three types of neuronal excitability based on the relationship between firing frequency and applied current intensity. However, whether natural sensory neurons display different functional characteristics in terms of excitability and whether this excitability type undergoes plastic changes under pathological pain states have remained elusive. Here, by utilizing whole-cell patch clamp recordings, behavioral and pharmacological assays, we demonstrated that large dorsal root ganglion (DRG) neurons can be classified into three classes and four subclasses based on their excitability patterns, which is similar to mathematical models raised by Hodgkin. Analysis of hyperpolarization-activated cation current () revealed different magnitude of in different excitability types of large DRG neurons, with higher in Class 2-1 than that in Class 1, 2-2 and 3. This indicates a crucial role of in the determination of excitability type of large DRG neurons. More importantly, this pattern of excitability displays plastic changes and transition under pathological pain states caused by peripheral nerve injury. This study sheds new light on the functional characteristics of large DRG neurons and extends functional classification of large DRG neurons by integration of transcriptomic and morphological characteristics.
感觉神经元类型通过独特的形态和转录特征来区分。兴奋性是神经元最基本的功能特征。Hodgkin 提出的数学模型根据放电频率和施加电流强度之间的关系,揭示了三种类型的神经元兴奋性。然而,天然感觉神经元在兴奋性方面是否表现出不同的功能特性,以及这种兴奋性类型在病理性疼痛状态下是否发生可塑性变化,仍然难以捉摸。在这里,我们利用全细胞膜片钳记录、行为学和药理学测定,证明大背根神经节 (DRG) 神经元可根据其兴奋性模式分为三类和四类亚类,这与 Hodgkin 提出的数学模型相似。超极化激活阳离子电流 () 的分析表明,不同兴奋性类型的大 DRG 神经元中 的大小不同,Class 2-1 中的 大于 Class 1、2-2 和 3。这表明 在决定大 DRG 神经元的兴奋性类型中起着关键作用。更重要的是,这种兴奋性模式在由周围神经损伤引起的病理性疼痛状态下发生了可塑性变化和转变。这项研究为大 DRG 神经元的功能特性提供了新的认识,并通过整合转录组和形态特征扩展了大 DRG 神经元的功能分类。