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制剂预测溶出度(fPD)测试以推进口服药物产品开发:美国 FDA 资助的“21 世纪生物等效性/生物利用度”项目介绍。

Formulation predictive dissolution (fPD) testing to advance oral drug product development: An introduction to the US FDA funded '21st Century BA/BE' project.

机构信息

Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA; Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven 3000, Belgium.

Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA.

出版信息

Int J Pharm. 2018 Sep 5;548(1):120-127. doi: 10.1016/j.ijpharm.2018.06.050. Epub 2018 Jun 23.

Abstract

Over the past decade, formulation predictive dissolution (fPD) testing has gained increasing attention. Another mindset is pushed forward where scientists in our field are more confident to explore the in vivo behavior of an oral drug product by performing predictive in vitro dissolution studies. Similarly, there is an increasing interest in the application of modern computational fluid dynamics (CFD) frameworks and high-performance computing platforms to study the local processes underlying absorption within the gastrointestinal (GI) tract. In that way, CFD and computing platforms both can inform future PBPK-based in silico frameworks and determine the GI-motility-driven hydrodynamic impacts that should be incorporated into in vitro dissolution methods for in vivo relevance. Current compendial dissolution methods are not always reliable to predict the in vivo behavior, especially not for biopharmaceutics classification system (BCS) class 2/4 compounds suffering from a low aqueous solubility. Developing a predictive dissolution test will be more reliable, cost-effective and less time-consuming as long as the predictive power of the test is sufficiently strong. There is a need to develop a biorelevant, predictive dissolution method that can be applied by pharmaceutical drug companies to facilitate marketing access for generic and novel drug products. In 2014, Prof. Gordon L. Amidon and his team initiated a far-ranging research program designed to integrate (1) in vivo studies in humans in order to further improve the understanding of the intraluminal processing of oral dosage forms and dissolved drug along the gastrointestinal (GI) tract, (2) advancement of in vitro methodologies that incorporates higher levels of in vivo relevance and (3) computational experiments to study the local processes underlying dissolution, transport and absorption within the intestines performed with a new unique CFD based framework. Of particular importance is revealing the physiological variables determining the variability in in vivo dissolution and GI absorption from person to person in order to address (potential) in vivo BE failures. This paper provides an introduction to this multidisciplinary project, informs the reader about current achievements and outlines future directions.

摘要

在过去的十年中,制剂预测溶出度(fPD)测试受到了越来越多的关注。另一种思维方式也被推动,我们领域的科学家更有信心通过进行预测性的体外溶出研究来探索口服药物产品的体内行为。同样,人们对应用现代计算流体动力学(CFD)框架和高性能计算平台来研究胃肠道(GI)内吸收的局部过程也越来越感兴趣。通过这种方式,CFD 和计算平台都可以为基于 PBPK 的未来计算框架提供信息,并确定应纳入体外溶出方法以提高体内相关性的 GI 蠕动驱动的流体动力学影响。目前的药典溶出方法并不总是能够可靠地预测体内行为,特别是对于生物药剂学分类系统(BCS)第 2/4 类化合物,这些化合物的水溶性较低。只要测试的预测能力足够强,开发预测性溶出测试将更加可靠、具有成本效益和耗时更少。需要开发一种具有生物相关性的预测性溶出方法,以便制药公司能够将其应用于仿制药和新药产品的营销准入。2014 年,Gordon L. Amidon 教授及其团队启动了一项广泛的研究计划,旨在整合(1)人体体内研究,以进一步提高对口服剂型和胃肠道(GI)中溶解药物的腔内处理的理解,(2)采用更高水平的体内相关性的体外方法学的进步,以及(3)用新的独特 CFD 基础框架研究溶解、转运和吸收的局部过程的计算实验。特别重要的是揭示决定个体间体内溶解和 GI 吸收变异性的生理变量,以解决(潜在)体内 BE 失败的问题。本文介绍了这个多学科项目,让读者了解当前的成就,并概述了未来的方向。

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