微观随机模型能解释患者疼痛周期的出现吗？
Can a microscopic stochastic model explain the emergence of pain cycles in patients?
摘要：
本文引入一个随机模型来研究引起疼痛感知的分子机制。镇痛药物化合物的行动进行了讨论，在动态的背景下，明确占与非活性物种的竞争。有限的尺寸效应不可避免地扰乱了平均场动力学：受系统内在噪声的驱动，束缚受体数量的振荡自发地显现出来。这些影响进行了调查，通过随机模拟和分析，通过一个大尺寸的扩展。我们的研究结果可以提供一个一致的解释框架来解释镇痛治疗后循环行为的出现，这一说法得到了证实。
英文摘要：
A stochastic model is here introduced to investigate the molecular mechanisms which trigger the perception of pain. The action of analgesic drug compounds is discussed in a dynamical context, where the competition with inactive species is explicitly accounted for. Finite size effects inevitably perturb the mean-field dynamics: Oscillations in the amount of bound receptors spontaneously manifest, driven by the noise which is intrinsic to the system under scrutiny. These effects are investigated both numerically, via stochastic simulations and analytically, through a large-size expansion. The claim that our findings could provide a consistent interpretative framework to explain the emergence of cyclic behaviors in response to analgesic treatments, is substantiated.
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