A Model of Gastric Mucosal pH Regulation: Extending Sensitivity Analysis Using Sobol' Indices to Understand Higher Moments.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-05-22 DOI:10.1007/s11538-024-01308-x
Manu Aggarwal, Owen Lewis, Angela Jarrett, M Y Hussaini, N G Cogan
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Abstract

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 γ -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 γ -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.

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胃黏膜 pH 值调节模型:利用索博尔指数扩展敏感性分析,以了解高阶矩。
最近的几项理论研究表明,胃黏膜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,即使面对胃内部巨大的电扩散酸输送也是如此。随后的研究使用索博尔指数(SIs)来量化这种分泌机制的 "自我调节 "程度,即随着数学参数的变化,胃壁 pH 值保持中性的程度。然而,特定参数对维持健康胃壁 pH 值的控制性质仍然存在疑问。研究模型输出统计分布的高阶矩的敏感性可以提供有用的信息,例如一个参数如何使分布偏向或偏离生理上有利的机制。在这项工作中,我们证明了 SI 与高阶矩之间的关系,并展示了如何降低计算上述矩敏感性的潜在成本。我们定义了 γ 指数来量化方差、偏度和峰度对参数值选择的敏感性,并提出了一种同时使用 SIs 和 γ 指数进行更全面敏感性分析的有效策略。我们的分析发现了一个控制参数,该参数控制着分泌机制对壁 pH 值的 "控制松紧度"。最后,我们讨论了如何利用有关高时刻的专家信息来减少该参数的不确定性,并推测了这种控制机制所带来的生理优势。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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