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A Partial Differential Equation Approach to Inhalation Physiologically Based Pharmacokinetic Modeling

机译:偏微分方程法基于生理学的药物代谢动力学模型

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摘要

The heterogeneous nature of the lungs and the range of processes affecting pulmonary drug disposition make prediction of inhaled drugs challenging. These predictions are critical, as the local exposure cannot be measured and current inhalation physiologically based pharmacokinetic (PBPK) models do not capture all necessary features. Utilizing partial differential equations, we present an inhalation PBPK model to describe the heterogeneity in both lung physiology and particle size. The model mechanistically describes important processes, such as deposition, mucociliary clearance, and dissolution. In addition, simplifications are introduced to reduce computational cost without loss of accuracy. Three case studies exemplify how the model can enhance our understanding of pulmonary drug disposition. Specific findings include that most small airways can be targeted by inhalation, and overdosing may eradicate the advantage of inhalation. The presented model can guide the design of inhaled molecules, formulations, as well as clinical trials, providing opportunities to explore regional targeting.
机译:肺的异质性和影响肺部药物处置的过程范围使对吸入药物的预测具有挑战性。这些预测至关重要,因为无法测量局部暴露,并且当前基于生理吸入的药代动力学(PBPK)模型无法捕获所有必要的特征。利用偏微分方程,我们提出了一个吸入性PBPK模型来描述肺生理和颗粒大小的异质性。该模型以机械方式描述了重要的过程,例如沉积,粘膜纤毛清除和溶解。另外,引入了简化以减少计算成本而不损失准确性。三个案例研究说明了该模型如何增强我们对肺部药物处置的了解。具体发现包括大多数小气道可被吸入作为目标,而过量服用可能会消除吸入的优势。提出的模型可以指导吸入分子,制剂的设计以及临床试验,从而提供探索区域靶向的机会。

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