Macroscopic Models for Human Circadian Rhythms
Macroscopic Models for Human Circadian Rhythms
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DOI：
10.1177/0748730419878298
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发表时间：
2019-10-16
影响因子：
3.5
通讯作者：
Forger, Daniel B.
中科院分区：
文献类型：
--
作者：
Hannay, Kevin M.;Booth, Victoria;Forger, Daniel B.
数学模型在人类昼夜节律的研究中有着悠久而有影响力的历史。人类昼夜光响应的精确预测模型已被用于研究大量光暴露对昼夜系统的影响。然而，一般来说，这些模型不考虑这些节奏的生理基础。我们说明了一个新的范例，用于推导出人类昼夜光响应模型。从一个高维度的昼夜神经网络模型开始，我们系统地推导出低维模型的方法，实验测量的昼夜神经元的动机。这种系统性的减少允许在生理背景下解释导出的模型的变量和参数。我们拟合和验证所得到的模型的实验测量库。最后，我们比较模型预测的光水平的实验测量，并讨论我们的模型的预测和以前的模型之间的差异。我们的建模范式允许跨单细胞，组织和行为尺度的实验测量的集成，从而能够为人类昼夜节律开发准确的低维模型。
Mathematical models have a long and influential history in the study of human circadian rhythms. Accurate predictive models for the human circadian light response have been used to study the impact of a host of light exposures on the circadian system. However, generally, these models do not account for the physiological basis of these rhythms. We illustrate a new paradigm for deriving models of the human circadian light response. Beginning from a high-dimensional model of the circadian neural network, we systematically derive low-dimensional models using an approach motivated by experimental measurements of circadian neurons. This systematic reduction allows for the variables and parameters of the derived model to be interpreted in a physiological context. We fit and validate the resulting models to a library of experimental measurements. Finally, we compare model predictions for experimental measurements of light levels and discuss the differences between our model's predictions and previous models. Our modeling paradigm allows for the integration of experimental measurements across the single-cell, tissue, and behavioral scales, thereby enabling the development of accurate low-dimensional models for human circadian rhythms.