Physiologically Based Pharmacokinetics Modeling in Biopharmaceutics: Case Studies for Establishing the Bioequivalence Safe Space for Innovator and Generic Drugs

生物等效性 生物制药 生物制药分类系统 创新者 溶解试验 药理学 关键质量属性 仿制药 IVIVC公司 互换性 生化工程 计算机科学 生物利用度 医学 风险分析(工程) 新产品开发 药品 工程类 化学 业务 生药学 生物化学 营销 知识产权 生物活性 体外 操作系统 程序设计语言
作者
Di Wu,Maitri Sanghavi,Sivacharan Kollipara,Tausif Ahmed,Anuj K Saini,Tycho Heimbach
出处
期刊:Pharmaceutical Research [Springer Nature]
卷期号:40 (2): 337-357 被引量:28
标识
DOI:10.1007/s11095-022-03319-6
摘要

For successful oral drug development, defining a bioequivalence (BE) safe space is critical for the identification of newer bioequivalent formulations or for setting of clinically relevant in vitro specifications to ensure drug product quality. By definition, the safe space delineates the dissolution profile boundaries or other drug product quality attributes, within which the drug product variants are anticipated to be bioequivalent. Defining a BE safe space with physiologically based biopharmaceutics model (PBBM) allows the establishment of mechanistic in vitro and in vivo relationships (IVIVR) to better understand absorption mechanism and critical bioavailability attributes (CBA). Detailed case studies on how to use PBBM to establish a BE safe space for both innovator and generic drugs are described. New case studies and literature examples demonstrate BE safe space applications such as how to set in vitro dissolution/particle size distribution (PSD) specifications, widen dissolution specification to supersede f2 tests, or application toward a scale-up and post-approval changes (SUPAC) biowaiver. A workflow for detailed PBBM set-up and common clinical study data requirements to establish the safe space and knowledge space are discussed. Approaches to model in vitro dissolution profiles i.e. the diffusion layer model (DLM), Takano and Johnson models or the fitted PSD and Weibull function are described with a decision tree. The conduct of parameter sensitivity analyses on kinetic dissolution parameters for safe space and virtual bioequivalence (VBE) modeling for innovator and generic drugs are shared. The necessity for biopredictive dissolution method development and challenges with PBBM development and acceptance criteria are described.

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