Predicted aerosol dosimetry for mouse models of chronic obstructive pulmonary disease, cardiovascular disease and lung cancer

M. Oldham, F. Lucci, A. Kuczaj
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Abstract

For in vivo inhalation studies, aerosol dosimetry links aerosol exposure and deposited dose within the respiratory tract. Aerosol dosimetry programs like the Multiple Path Particle Deposition model utilize respiratory tract geometry, respiratory physiology, and aerosol properties to predict particle deposition within the respiratory tract. A challenge to wider use of these dosimetry programs for in vivo inhalation studies is the lack of species-specific or strain specific respiratory tract anatomy, and in some cases, strain specific respiratory physiology data. The objective of this work was to develop aerosol dosimetry predictions for the in vivo human disease models of chronic obstructive pulmonary disease (COPD; C57BL/6 mice) cardiovascular disease (CVD; ApoE-/- mice), and lung cancer (AJ mice) using the Multiple Path Particle Deposition dosimetry model. Microcomputed tomography derived tracheobronchial geometry data were combined with available pulmonary geometry data for C57BL/6, ApoE-/-, and AJ mice and incorporated into the Multiple Path Particle Deposition dosimetry model. Mouse strain specific respiratory physiology literature values were used as input into the Multiple Path Particle Deposition dosimetry model. The resulting particle deposition predictions compared well with the very limited strain specific experimental particle deposition data. Since multiple tracheobronchial geometries and thus pulmonary anatomies were used for C57BL/6 and ApoE-/- mice, an estimate of intrastrain variability in predicted particle deposition was obtained. The intrastrain variability in predicted particle deposition for C57BL/6 and ApoE-/- mice was always smaller in the tracheobronchial compared to pulmonary airways. The differences in reported respiratory physiology values for C57BL/6 mice resulted in greater intrastrain variability in predicted particle deposition than observed with the different tracheobronchial geometries and pulmonary anatomies. These mouse strain specific aerosol dosimetry predictions can provide insight into the delivered dose to specific respiratory tract regions that can be correlated with in vivo endpoints.
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慢性阻塞性肺疾病、心血管疾病和肺癌小鼠模型的气溶胶剂量学预测
在体内吸入研究中,气溶胶剂量测定法将气溶胶暴露与呼吸道内沉积剂量联系起来。像多路径粒子沉积模型这样的气溶胶剂量测定程序利用呼吸道几何、呼吸生理学和气溶胶特性来预测呼吸道内的粒子沉积。在体内吸入研究中广泛使用这些剂量测定程序的一个挑战是缺乏物种特异性或菌株特异性呼吸道解剖,在某些情况下,缺乏菌株特异性呼吸生理学数据。这项工作的目的是为慢性阻塞性肺疾病(COPD;C57BL/6小鼠)心血管疾病(CVD;ApoE-/-小鼠)和肺癌(AJ小鼠)使用多路径颗粒沉积剂量学模型。将C57BL/6、ApoE-/-和AJ小鼠的微计算机断层扫描所得气管支气管几何数据与肺几何数据相结合,并纳入多径颗粒沉积剂量学模型。小鼠品系特异性呼吸生理学文献值被用作多路径颗粒沉积剂量学模型的输入。所得的颗粒沉积预测与非常有限的应变特定实验颗粒沉积数据相比较。由于对C57BL/6和ApoE-/-小鼠使用了多个气管支气管几何形状和肺部解剖结构,因此获得了预测颗粒沉积的应变内变异性的估计。C57BL/6和ApoE-/-小鼠预测颗粒沉积的应变内变异性在气管支气管中始终小于肺气道。报告的C57BL/6小鼠呼吸生理值的差异导致预测颗粒沉积的应变内变异性比不同气管支气管几何形状和肺解剖结构观察到的更大。这些小鼠品系特异性气溶胶剂量测定预测可以深入了解与体内终点相关的特定呼吸道区域的递送剂量。
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