Clinical level agent-based model of pathological airway remodeling in asthma

The following contains information regarding the uploaded agent-based model capturing asthma pathogenesis in a virtual human airway to make clinical-level predictions. This model was developed considering a Strahler Order 3 airway and is based on interactions between the epithelial, mesenchymal, and inflammatory elements of an airway. Pathological remodeling during asthma in this model, therefore, emerges as a result of dynamic interplay between these elements across multiple spatial and temporal scales. The model was developed to be drug agnostic and used to predict the impact of two drugs, with different pharmacodynamics, on the muscle mass of the virtual airway with severe asthma. Model outcomes were validated by comparing against clinical data and in vitro studies.<br>

下文将介绍本次上传的基于智能体（Agent）的模型，该模型可模拟虚拟人类气道的哮喘发病机制，以实现临床级别的预测。该模型以斯特拉勒分级3级（Strahler Order 3）气道为构建基础，依托气道上皮、间充质与炎症组分间的相互作用搭建而成。因此，该模型中哮喘发病过程中的病理性重塑，正是上述组分在多时空尺度下动态相互作用的产物。本模型具备药物无关性设计初衷，被用于预测两种药效动力学（pharmacodynamics）特征各异的药物，对重度哮喘虚拟气道平滑肌质量的影响。模型的输出结果已通过与临床数据及体外实验结果的对比完成验证。