Identification of hypoglycemia-specific neural signals by decoding murine vagus nerve activity.
Identification of hypoglycemia-specific neural signals by decoding murine vagus nerve activity.
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DOI：
10.1186/s42234-019-0025-z
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发表时间：
2019-01-01
影响因子：
--
通讯作者：
Zanos, Theodoros P
中科院分区：
文献类型：
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作者：
Masi, Emily Battinelli;Levy, Todd;Zanos, Theodoros P
背景：葡萄糖是一种重要的能量来源。在人类中，它是大脑，肌肉和外周神经元中高能量需求细胞的主要糖。血糖水平长期偏离正常水平是危险的，甚至是致命的，因此血糖水平的调节是生物学上的必要条件。迷走神经由感觉和运动纤维组成，为调节代谢提供了主要的解剖学基础。虽然以前的研究已经牵连迷走神经的neurometabolic接口，其特定的作用，无论是传入或传出弧的反射仍然hailey.METHODS：在这里，我们使用最近开发的方法来分离和解码特定的神经信号从表面获得的迷走神经在BALB/c野生型小鼠，以确定那些反应强烈低血糖。我们还试图解码与高血糖相关的神经信号。除野生型小鼠外，我们还分析了瞬时受体电位阳离子通道亚家族V成员1（TRPV 1）细胞耗竭小鼠对急性低血糖和高血糖的反应。解码算法使用神经信号作为输入，重建血糖水平。结果：我们的算法能够以较高的精度重建血糖水平（中位误差为18.6mg/dl）。高血压并没有引起强大的迷走神经反应，和TRPV 1伤害性感受器的删除衰减的hypoglycemia依赖的迷走神经signals.CONCLUSION：这些结果提供了洞察的感觉迷走神经信号，编码低血糖状态，并建议一种方法来测量血糖水平通过解码神经signals.TRIAL注册：不适用。
BACKGROUND: Glucose is a crucial energy source. In humans, it is the primary sugar for high energy demanding cells in brain, muscle and peripheral neurons. Deviations of blood glucose levels from normal levels for an extended period of time is dangerous or even fatal, so regulation of blood glucose levels is a biological imperative. The vagus nerve, comprised of sensory and motor fibres, provides a major anatomical substrate for regulating metabolism. While prior studies have implicated the vagus nerve in the neurometabolic interface, its specific role in either the afferent or efferent arc of this reflex remains elusive.METHODS: Here we use recently developed methods to isolate and decode specific neural signals acquired from the surface of the vagus nerve in BALB/c wild type mice to identify those that respond robustly to hypoglycemia. We also attempted to decode neural signals related to hyperglycemia. In addition to wild type mice, we analyzed the responses to acute hypo- and hyperglycemia in transient receptor potential cation channel subfamily V member 1 (TRPV1) cell depleted mice. The decoding algorithm uses neural signals as input and reconstructs blood glucose levels.RESULTS: Our algorithm was able to reconstruct the blood glucose levels with high accuracy (median error 18.6mg/dl). Hyperglycemia did not induce robust vagus nerve responses, and deletion of TRPV1 nociceptors attenuated the hypoglycemia-dependent vagus nerve signals.CONCLUSION: These results provide insight to the sensory vagal signaling that encodes hypoglycemic states and suggest a method to measure blood glucose levels by decoding nerve signals.TRIAL REGISTRATION: Not applicable.