Jamei Masoud
Simcyp Limited (a Certara Company), Blades Enterprise Centre, John Street, Sheffield, S2 4SU UK.
Curr Pharmacol Rep. 2016;2(3):161-169. doi: 10.1007/s40495-016-0059-9. Epub 2016 Apr 14.
There is a renewed surge of interest in applications of physiologically-based pharmacokinetic (PBPK) models by the pharmaceutical industry and regulatory agencies. Developing PBPK models within a systems pharmacology context allows separation of the parameters pertaining to the animal or human body (the system) from that of the drug and the study design which is essential to develop generic drug-independent models used to extrapolate PK/PD properties in various healthy and patient populations. This has expanded the classical paradigm to a 'predict-learn-confirm-apply' concept. Recently, a number of drug labels are informed by simulation results generated using PBPK models. These cases show that either the simulations are used in lieu of conducting clinical studies or have informed the drug label that otherwise would have been silent in some specific situations. It will not be surprising to see applications of these models in implementing precision dosing at the point of care in the near future.
制药行业和监管机构对基于生理的药代动力学(PBPK)模型应用的兴趣再度高涨。在系统药理学背景下开发PBPK模型,能够将与动物或人体(系统)相关的参数与药物参数以及研究设计区分开来,这对于开发用于推断各种健康和患者群体中药代动力学/药效学(PK/PD)特性的通用药物独立模型至关重要。这已将经典范式扩展为“预测-学习-确认-应用”概念。最近,一些药品标签参考了使用PBPK模型生成的模拟结果。这些案例表明,要么模拟被用于替代进行临床研究,要么为药品标签提供了信息,否则在某些特定情况下药品标签可能会保持沉默。在不久的将来,看到这些模型在即时护理中实施精准给药方面的应用并不奇怪。