呼吸网络中的不对称神经调节有助于节奏和模式生成
Rishi R Dhingra1,2, Peter M MacFarlane3, Peter J Thomas4
1Present Address: Division of Pulmonary, Critical Care and Sleep, Department of Medicine, Case Western Reserve University, Cleveland, OH, USA.
bioRxiv : the preprint server for biology
|November 28, 2024
概括
神经调节器通过激活受体,微妙地改变呼吸模式. 大脑干呼吸网络中的不对称神经调节是产生节律和多样化的呼吸模式的关键,影响呼吸运动输出.
科学领域:
- 神经科学是一个神经科学.
- 计算生物学 计算生物学
- 呼吸系统生理学 呼吸系统生理学
背景情况:
- 大脑干呼吸系统网络是由神经递质调节的,它们作用于缓慢的代代谢类受体.
- 神经调节器对呼吸模式的影响从微妙的调节到完全停止,以μ-阿片类受体激活为例.
研究的目的:
- 为了测试假设,各种神经调节对呼吸模式的影响取决于受体表达和目标刺激性.
- 研究非对称神经调节传播在呼吸节律和模式生成中的作用.
主要方法:
- 使用高密度多电极阵列 (MEA) 的集体电生理学记录,对Bötzinger前综合体 (pre-BötC) 的综合计算建模.
- 选择性激动剂 (8-OH-DPAT用于5HT1aR,芬太尼用于μ-阿片类受体) 的全身管理,以调节模型和体内神经调节性传播强度.
主要成果:
- 增加缓慢抑制效应的计算模型预测与使用8-OH-DPAT的实验一致.
- 在芬太尼的使用后,模型预测增加缓慢激发的预测得到了实验证实,显示了改变的BötC前组合活动.
- 模型中的不对称神经调节强度与观察到的呼吸机运动模式变化相关.
结论:
- 呼吸网络中的不对称神经调节对产生呼吸节奏和模式作出了重大贡献.
- 这种不对称的信号机制解释了神经调节器对呼吸控制的多种影响.
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