CFD Research Corporation, Computational Biology Division, 6820 Moquin Dr NW, Huntsville, AL, 35806, USA.
Division of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD, 20993, USA.
Pharm Res. 2023 Apr;40(4):961-975. doi: 10.1007/s11095-023-03480-6. Epub 2023 Mar 23.
Although the eye is directly accessible on the surface of the human body, drug delivery can be extremely challenging due to the presence of multiple protective barriers in eye tissues. Researchers have developed complex formulation strategies to overcome these barriers to ophthalmic drug delivery. Current development strategies rely heavily on in vitro experiments and animal testing to predict human pharmacokinetics (PK) and pharmacodynamics (PD).
The primary objective of the study was to develop a high-fidelity PK/PD model of the anterior eye for topical application of ophthalmic drug products.
Here, we present a physiologically-based in silico approach to predicting PK and PD in rabbits after topical administration of ophthalmic products. A first-principles based approach was used to describe timolol dissolution, transport, and distribution, including consideration of ionized transport, following topical instillation of a timolol suspension.
Using literature transport and response parameters, the computational model described well the concentration-time and response-time profiles in rabbit. Comparison of validated rabbit model results and extrapolated human model results demonstrate observable differences in the distribution of timolol at multiple time points.
This modeling framework provides a tool for model-based prediction of PK in eye tissues and PD after topical ophthalmic drug administration to the eyes.
尽管眼睛位于人体表面,直接可见,但由于眼组织中存在多种保护屏障,药物输送可能极具挑战性。研究人员已经开发出复杂的配方策略来克服这些眼部药物输送的障碍。当前的开发策略严重依赖于体外实验和动物测试来预测人体药代动力学(PK)和药效动力学(PD)。
本研究的主要目的是为眼部药物产品的局部应用开发一种高保真的前眼部 PK/PD 模型。
在这里,我们提出了一种基于生理的计算方法,用于预测眼部产品局部给药后兔子的 PK 和 PD。采用基于第一原理的方法来描述噻吗洛尔混悬液局部滴注后的噻吗洛尔溶解、转运和分布,包括考虑离子转运。
使用文献中的转运和反应参数,该计算模型很好地描述了兔子的浓度-时间和反应-时间曲线。经过验证的兔子模型结果和外推的人类模型结果的比较表明,在多个时间点上,噻吗洛尔的分布存在可观察到的差异。
该建模框架为基于模型的眼部组织 PK 预测以及局部眼部药物给药后的 PD 预测提供了一种工具。