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Quantitative global sensitivity analysis of a biologically based dose-response pregnancy model for the thyroid endocrine system

机译:基于生物学的甲状腺内分泌系统剂量反应妊娠模型的定量整体敏感性分析

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A deterministic biologically based dose-response model for the thyroidal system in a near-term pregnant woman and the fetus was recently developed to evaluate quantitatively thyroid hormone perturbations. The current work focuses on conducting a quantitative global sensitivity analysis on this complex model to identify and characterize the sources and contributions of uncertainties in the predicted model output. The workflow and methodologies suitable for computationally expensive models, such as the Morris screening method and Gaussian Emulation processes, were used for the implementation of the global sensitivity analysis. Sensitivity indices, such as main, total and interaction effects, were computed for a screened set of the total thyroidal system descriptive model input parameters. Furthermore, a narrower sub-set of the most influential parameters affecting the model output of maternal thyroid hormone levels were identified in addition to the characterization of their overall and pair-wise parameter interaction quotients. The characteristic trends of influence in model output for each of these individual model input parameters over their plausible ranges were elucidated using Gaussian Emulation processes. Through global sensitivity analysis we have gained a better understanding of the model behavior and performance beyond the domains of observation by the simultaneous variation in model inputs over their range of plausible uncertainties. The sensitivity analysis helped identify parameters that determine the driving mechanisms of the maternal and fetal iodide kinetics, thyroid function and their interactions, and contributed to an improved understanding of the system modeled. We have thus demonstrated the use and application of global sensitivity analysis for a biologically based dose-response model for sensitive life-stages such as pregnancy that provides richer information on the model and the thyroidal system modeled compared to local sensitivity analysis.
机译:最近开发了确定性生物学基础的近期孕妇和胎儿甲状腺系统的剂量反应模型,以定量评估甲状腺激素的摄动。当前的工作重点是对该复杂模型进行定量的全球敏感性分析,以识别和表征预测模型输出中不确定性的来源和贡献。适用于计算成本较高的模型的工作流程和方法,例如莫里斯筛选方法和高斯仿真过程,被用于实现全局敏感性分析。针对总甲状腺系统描述性模型输入参数的一组筛选出的敏感指数,例如主要,总体和相互作用效应,进行了计算。此外,除了表征其总体和成对参数相互作用商的特征外,还确定了影响母亲甲状腺激素水平模型输出的最有影响力的参数的较窄子集。使用高斯仿真过程阐明了这些单个模型输入参数在合理范围内对模型输出的影响的特征趋势。通过全局敏感性分析,通过模型输入在其可能的不确定性范围内的同时变化,我们已经获得了对模型行为和性能的更好理解,超出了观察范围。敏感性分析有助于确定确定母体和胎儿碘化物动力学,甲状腺功能及其相互作用的驱动机制的参数,并有助于增进对建模系统的了解。因此,我们已经证明了针对敏感性生命阶段(例如怀孕)的基于生物学的剂量反应模型的全局敏感性分析的应用和应用,与局部敏感性分析相比,该模型提供了关于模型和甲状腺系统的更丰富的信息。

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