Chou PoChung, Shannar Ahmad, Pan Yuxin, Dave Parv Dushyant, Xu Jiawei, Kong Ah-Ng Tony
Graduate Program in Pharmaceutical Science, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, NJ 08854 USA.
Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, NJ 08854 USA.
Curr Pharmacol Rep. 2025;11(1):45. doi: 10.1007/s40495-025-00427-w. Epub 2025 Aug 8.
Physiologically-based pharmacokinetic (PBPK) modeling is a powerful tool to understand drug movements throughout the human body. Unlike classical PK methods that often lack sufficient physiological detail, PBPK integrates drug-specific properties with organism-specific physiological parameters to predict drug behavior in major body compartments, particularly site of action and providing high physiological realism. The aim of the review is to summarize application of PBPK modeling in drug development and in dietary phytochemicals.
PBPK modeling is a versatile tool in drug development and phytochemical research. It predicts human PK from preclinical data, aiding lead optimization and candidate evaluation. The model mechanistically predicts drug-drug interactions (DDIs), supporting dose adjustments and reducing clinical trials. PBPK also enables formulation simulation for oral and modified-release drugs, optimizing bioavailability and predicting performance from in vitro data, thus reducing costly in vivo studies. Importantly, it extends drug knowledge to pediatric and special populations via virtual group simulations, enabling efficient, cost-effective dosage determination and less clinical trials. For dietary phytochemicals, PBPK modeling is well-suited for their complex mixture and variability. PBPK studies of phytochemicals demonstrate their utility for single components, mixtures, cross-species extrapolation, and complex metabolic processes, although challenges exist.
PBPK modeling is a dynamic and quantitative tool offering comprehensive pharmacokinetic integration across various populations and regimens. Its importance is growing due to its application at diverse stages of drug development and its ability to adapt to complex substances, including natural products. Ultimately, PBPK modeling is significant for enhancing scientific rigor, expediting drug development and ensuring patient safety.
基于生理的药代动力学(PBPK)建模是了解药物在人体中转运情况的有力工具。与通常缺乏足够生理细节的经典药代动力学方法不同,PBPK将药物特异性特性与机体特异性生理参数相结合,以预测药物在主要身体隔室中的行为,特别是作用部位,并具有较高的生理真实性。本综述的目的是总结PBPK建模在药物研发和膳食植物化学物方面的应用。
PBPK建模是药物研发和植物化学物研究中的一种多功能工具。它可根据临床前数据预测人体药代动力学,有助于先导化合物优化和候选药物评估。该模型能从机制上预测药物-药物相互作用(DDIs),支持剂量调整并减少临床试验。PBPK还可对口服和缓释药物进行制剂模拟,优化生物利用度并根据体外数据预测性能,从而减少成本高昂的体内研究。重要的是,它通过虚拟群体模拟将药物知识扩展到儿科和特殊人群,实现高效、经济有效的剂量确定并减少临床试验。对于膳食植物化学物,PBPK建模非常适合其复杂的混合物和变异性。尽管存在挑战,但植物化学物的PBPK研究证明了其在单一成分、混合物、跨物种外推和复杂代谢过程中的实用性。
PBPK建模是一种动态的定量工具,可在不同人群和给药方案中提供全面的药代动力学整合。由于其在药物研发的不同阶段的应用以及适应包括天然产物在内的复杂物质的能力,其重要性日益增加。最终,PBPK建模对于提高科学严谨性、加速药物研发和确保患者安全具有重要意义。