Aggarwal Manu, Lewis Owen, Jarrett Angela, Hussaini M Y, Cogan N G
Department of Mathematics, Florida State University, Tallahassee, USA.
Department of Mathematics & Statistics, University of New Mexico, Albuquerque, New Mexico, USA.
Bull Math Biol. 2024 May 22;86(7):77. doi: 10.1007/s11538-024-01308-x.
Several recent theoretical studies have indicated that a relatively simple secretion control mechanism in the epithelial cells lining the stomach may be responsible for maintaining a neutral (healthy) pH adjacent to the stomach wall, even in the face of enormous electrodiffusive acid transport from the interior of the stomach. Subsequent work used Sobol' Indices (SIs) to quantify the degree to which this secretion mechanism is "self-regulating" i.e. the degree to which the wall pH is held neutral as mathematical parameters vary. However, questions remain regarding the nature of the control that specific parameters exert over the maintenance of a healthy stomach wall pH. Studying the sensitivity of higher moments of the statistical distribution of a model output can provide useful information, for example, how one parameter may skew the distribution towards or away from a physiologically advantageous regime. In this work, we prove a relationship between SIs and the higher moments and show how it can potentially reduce the cost of computing sensitivity of said moments. We define -indices to quantify sensitivity of variance, skewness, and kurtosis to the choice of value of a parameter, and we propose an efficient strategy that uses both SIs and -indices for a more comprehensive sensitivity analysis. Our analysis uncovers a control parameter which governs the "tightness of control" that the secretion mechanism exerts on wall pH. Finally, we discuss how uncertainty in this parameter can be reduced using expert information about higher moments, and speculate about the physiological advantage conferred by this control mechanism.
最近的几项理论研究表明,胃内壁上皮细胞中一种相对简单的分泌控制机制可能负责维持胃壁附近的中性(健康)pH值,即使面对来自胃内部巨大的电扩散性酸转运。随后的工作使用索伯尔指数(SIs)来量化这种分泌机制的“自我调节”程度,即当数学参数变化时,壁pH值保持中性的程度。然而,关于特定参数对维持健康胃壁pH值所施加控制的性质,仍存在问题。例如,研究模型输出统计分布的高阶矩的敏感性可以提供有用信息,即一个参数如何使分布向生理有利状态或远离该状态倾斜。在这项工作中,我们证明了索伯尔指数与高阶矩之间的关系,并展示了它如何有可能降低计算所述矩敏感性的成本。我们定义γ指数来量化方差、偏度和峰度对参数值选择的敏感性,并提出一种有效的策略,该策略同时使用索伯尔指数和γ指数进行更全面的敏感性分析。我们的分析揭示了一个控制参数,该参数决定了分泌机制对壁pH值施加的“控制紧密度”。最后,我们讨论了如何利用关于高阶矩的专家信息来降低该参数的不确定性,并推测了这种控制机制所赋予的生理优势。