Edward A, Prausnitz M R
Department of Chemical and Biological Engineering, Tufts University, Medford, Massachusetts 02155, USA.
Pharm Res. 2001 Nov;18(11):1497-508. doi: 10.1023/a:1013061926851.
To develop a theoretical model to predict the passive, steady-state permeability of cornea and its component layers (epithelium, stroma, and endothelium) as a function of drug size and distribution coefficient (phi). The parameters of the model should represent physical properties that can be independently estimated and have physically interpretable meaning.
A model was developed to predict corneal permeability using 1) a newly developed composite porous-medium approach to model transport through the transcellular and paracellular pathways across the epithelium and endothelium and 2) previous work on modeling corneal stroma using a fiber-matrix approach.
The model, which predicts corneal permeability for molecules having a broad range of size and lipophilicity, was validated by comparison with over 150 different experimental data points and showed agreement with a mean absolute fractional error of 2.43, which is within the confidence interval of the data. In addition to overall corneal permeability, the model permitted independent analysis of transcellular and paracellular pathways in epithelium, stroma and endothelium. This yielded strategies to enhance corneal permeability by targeting epithelial paracellular pathways for hydrophilic compounds (phi < 0.1 - 1), epithelial transcellular pathways for intermediate compounds, and stromal pathways for hydrophobic compounds (phi > 10 - 100). The effects of changing corneal physical properties (e.g., to mimic disease states or animals models) were also examined.
A model based on physicochemical properties of the cornea and drug molecules can be broadly applied to predict corneal permeability and suggest strategies to enhance that permeability.
建立一个理论模型,以预测角膜及其各组成层(上皮层、基质层和内皮层)的被动稳态渗透率,该渗透率是药物大小和分配系数(φ)的函数。模型参数应代表可独立估算且具有物理可解释意义的物理性质。
开发了一个模型来预测角膜渗透率,该模型使用1)一种新开发的复合多孔介质方法来模拟药物通过上皮层和内皮层的跨细胞和细胞旁途径的转运,以及2)先前使用纤维基质方法对角膜基质进行建模的工作。
该模型可预测具有广泛大小和脂溶性的分子的角膜渗透率,通过与150多个不同的实验数据点进行比较得到验证,平均绝对分数误差为2.43,与数据的置信区间相符。除了整体角膜渗透率外,该模型还允许对上皮层、基质层和内皮层中的跨细胞和细胞旁途径进行独立分析。这产生了一些策略,通过针对亲水性化合物(φ < 0.1 - 1)的上皮细胞旁途径、中等化合物的上皮跨细胞途径以及疏水性化合物(φ > 10 - 100)的基质途径来提高角膜渗透率。还研究了改变角膜物理性质(例如模拟疾病状态或动物模型)的影响。
基于角膜和药物分子物理化学性质的模型可广泛应用于预测角膜渗透率,并提出提高该渗透率的策略。