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用于舌下运动神经元状态依赖性控制的脑干回路计算模型。

Computational model of brain-stem circuit for state-dependent control of hypoglossal motoneurons.

作者信息

Naji Mohsen, Komarov Maxim, Krishnan Giri P, Malhotra Atul, Powell Frank L, Rukhadze Irma, Fenik Victor B, Bazhenov Maxim

机构信息

Department of Medicine, Division of Pulmonary, Critical Care & Sleep Medicine, University of California, San Diego, La Jolla, California.

Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California.

出版信息

J Neurophysiol. 2018 Jul 1;120(1):296-305. doi: 10.1152/jn.00728.2017. Epub 2018 Apr 4.

Abstract

In patients with obstructive sleep apnea (OSA), the pharyngeal muscles become relaxed during sleep, which leads to a partial or complete closure of upper airway. Experimental studies suggest that withdrawal of noradrenergic and serotonergic drives importantly contributes to depression of hypoglossal motoneurons and, therefore, may contribute to OSA pathophysiology; however, specific cellular and synaptic mechanisms remain unknown. In this new study, we developed a biophysical network model to test the hypothesis that, to explain experimental observations, the neuronal network for monoaminergic control of excitability of hypoglossal motoneurons needs to include excitatory and inhibitory perihypoglossal interneurons that mediate noradrenergic and serotonergic drives to hypoglossal motoneurons. In the model, the state-dependent activation of the hypoglossal motoneurons was in qualitative agreement with in vivo data during simulated rapid eye movement (REM) and non-REM sleep. The model was applied to test the mechanisms of action of noradrenergic and serotonergic drugs during REM sleep as observed in vivo. We conclude that the proposed minimal neuronal circuit is sufficient to explain in vivo data and supports the hypothesis that perihypoglossal interneurons may mediate state-dependent monoaminergic drive to hypoglossal motoneurons. The population of the hypothesized perihypoglossal interneurons may serve as novel targets for pharmacological treatment of OSA. NEW & NOTEWORTHY In vivo studies suggest that during rapid eye movement sleep, withdrawal of noradrenergic and serotonergic drives critically contributes to depression of hypoglossal motoneurons (HMs), which innervate the tongue muscles. By means of a biophysical model, which is consistent with a broad range of empirical data, we demonstrate that the neuronal network controlling the excitability of HMs needs to include excitatory and inhibitory interneurons that mediate noradrenergic and serotonergic drives to HMs.

摘要

在阻塞性睡眠呼吸暂停(OSA)患者中,咽部肌肉在睡眠期间会放松,这会导致上呼吸道部分或完全闭合。实验研究表明,去甲肾上腺素能和5-羟色胺能驱动的减退对舌下运动神经元的抑制有重要作用,因此可能与OSA的病理生理学有关;然而,具体的细胞和突触机制仍不清楚。在这项新研究中,我们开发了一个生物物理网络模型,以检验以下假设:为了解释实验观察结果,控制舌下运动神经元兴奋性的单胺能神经元网络需要包括兴奋性和抑制性舌下周围中间神经元,它们介导去甲肾上腺素能和5-羟色胺能对舌下运动神经元的驱动。在该模型中,舌下运动神经元的状态依赖性激活与模拟快速眼动(REM)和非REM睡眠期间的体内数据在质量上一致。该模型被用于测试体内观察到的REM睡眠期间去甲肾上腺素能和5-羟色胺能药物的作用机制。我们得出结论,所提出的最小神经元回路足以解释体内数据,并支持舌下周围中间神经元可能介导对舌下运动神经元的状态依赖性单胺能驱动这一假设。假设的舌下周围中间神经元群体可能成为OSA药物治疗的新靶点。新的和值得注意的是,体内研究表明,在快速眼动睡眠期间,去甲肾上腺素能和5-羟色胺能驱动的减退对支配舌肌的舌下运动神经元(HMs)的抑制起关键作用。通过一个与广泛的经验数据一致的生物物理模型,我们证明控制HMs兴奋性的神经元网络需要包括介导去甲肾上腺素能和5-羟色胺能对HMs驱动的兴奋性和抑制性中间神经元。

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