School of Pharmacy, University of Eastern Finland, Kuopio, Finland.
Invest Ophthalmol Vis Sci. 2024 Sep 3;65(11):28. doi: 10.1167/iovs.65.11.28.
Drug delivery is an important factor for the success of ocular drug treatment. However, several physical, biochemical, and flow-related barriers limit drug exposure of anterior and posterior ocular target tissues during drug treatment via topical, subconjunctival, intravitreal, or systemic routes. Mathematical models encompass various barriers so that their joint influence on pharmacokinetics (PKs) can be simulated in an integrated fashion. The models are useful in predicting PKs and even pharmacodynamics (PDs) of administered drugs thereby fostering development of new drug molecules and drug delivery systems. Furthermore, the models are potentially useful in interspecies translation and probing of disease effects on PKs. In this review article, we introduce current modeling methods (noncompartmental analyses, compartmental and physiologically based PK models, and finite element models) in ocular PKs and related drug delivery. The roles of top-down models and bottom-up simulations are discussed. Furthermore, we present some future challenges, such as modeling of intra-tissue distribution, prediction of drug responses, quantitative systems pharmacology, and possibilities of artificial intelligence.
药物输送是眼部药物治疗成功的一个重要因素。然而,在通过局部、结膜下、玻璃体内或全身途径进行药物治疗时,有几种物理、生化和流动相关的障碍限制了药物在前部和后部眼部靶组织中的暴露。数学模型涵盖了各种障碍,以便以综合的方式模拟它们对药代动力学(PKs)的联合影响。这些模型可用于预测给予药物的 PKs,甚至药效动力学(PDs),从而促进新的药物分子和药物输送系统的开发。此外,这些模型有可能用于物种间的转化,并探测疾病对 PKs 的影响。在这篇综述文章中,我们介绍了眼部 PKs 和相关药物输送中的当前建模方法(非房室分析、房室和基于生理的 PK 模型以及有限元模型)。讨论了自上而下模型和自下而上模拟的作用。此外,我们还提出了一些未来的挑战,例如组织内分布的建模、药物反应的预测、定量系统药理学以及人工智能的可能性。