Department of Cell Biology, Emory University School of Medicine, Atlanta, Georgia 30322, and Monell Chemical Senses Center, Philadelphia, Pennsylvania 19104.
J Neurosci. 2014 Feb 5;34(6):2025-36. doi: 10.1523/JNEUROSCI.3736-13.2014.
Odor information is first represented as a spatial activation pattern across the olfactory epithelium, when odor is drawn into the nose through breathing. This epithelial pattern likely results from both the intrinsic olfactory sensory neuron (OSN) sensitivity and the sorptive patterns imposed by the interaction of nasal aerodynamics with physiochemical properties of odorants, although the precise contributions of each are ill defined. Here, we used a computational fluid dynamics (CFD) model of rat nasal cavity to simulate the nasal aerodynamics and sorption patterns for a large number of odorants, and compared the results with the spatial neural activities measured by electro-olfactogram (EOG) under same flow conditions. The computational and experimental results both indicate greater sorption and response to a narrow range odorants as a function of their mucosal solubility, and this range can be further modulated by changes of intranasal flow rates and direction (orthonasal vs retronasal flow). A striking finding is that the profile of intrinsic EOG response measured in surgically opened nose without airflow constraints is similar to the shape of the sorption profile imposed by nasal airflow, strongly indicating a tuning process. As validation, combining the intrinsic response with the mucosal concentration estimated by CFD in nonlinear regression successfully accounts for the measured retronasal and orthonasal EOG response at all flow rates and positions. These observations redefine the role of sorption properties in olfaction and suggest that the peripheral olfactory system, especially the central zone, may be strategically arranged spatially to optimize its functionality, depending on the incoming stimuli.
气味信息首先在嗅上皮中以空间激活模式表示,当气味通过呼吸被吸入鼻腔时。这种上皮模式可能既源于内在的嗅觉感觉神经元(OSN)的敏感性,也源于鼻气流动力学与气味的物理化学性质相互作用所产生的吸附模式,尽管每种模式的精确贡献尚不清楚。在这里,我们使用大鼠鼻腔的计算流体动力学(CFD)模型来模拟大量气味的鼻气流动力学和吸附模式,并在相同的流动条件下将结果与通过电嗅图(EOG)测量的空间神经活动进行比较。计算和实验结果都表明,随着其粘膜溶解度的增加,对狭窄范围的气味的吸附和响应更大,而这种范围可以通过改变鼻内气流速率和方向(嗅入气流与返嗅气流)进一步调节。一个引人注目的发现是,在没有气流限制的手术打开的鼻子中测量的固有 EOG 响应的形态与鼻气流施加的吸附形态相似,强烈表明存在调谐过程。作为验证,将固有响应与 CFD 估计的粘膜浓度结合在非线性回归中,成功地解释了在所有流速和位置下测量的返嗅和嗅入 EOG 响应。这些观察结果重新定义了吸附特性在嗅觉中的作用,并表明外周嗅觉系统,特别是中央区,可能会根据传入的刺激在空间上进行战略性排列,以优化其功能。