Wu Di, Sanghavi Maitri, Kollipara Sivacharan, Ahmed Tausif, Saini Anuj K, Heimbach Tycho
Pharmaceutical Sciences, MRL, Merck & Co., Inc., Rahway, New Jersey, 07065, USA.
Pharmacokinetics & Biopharmaceutics Group, Pharmaceutical Technology Center (PTC), Zydus Lifesciences Ltd., NH-8A, Sarkhej-Bavla Highway, Moraiya Ahmedabad, Gujarat, 382210, India.
Pharm Res. 2023 Feb;40(2):337-357. doi: 10.1007/s11095-022-03319-6. Epub 2022 Jul 15.
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.
对于成功的口服药物开发而言,定义生物等效性(BE)安全空间对于识别更新的生物等效制剂或设定临床相关的体外规格以确保药品质量至关重要。根据定义,安全空间划定了溶出曲线边界或其他药品质量属性,预计在此范围内药品变体具有生物等效性。使用基于生理的生物药剂学模型(PBBM)定义BE安全空间能够建立体外和体内的机制关系(IVIVR),从而更好地理解吸收机制和关键生物利用度属性(CBA)。本文描述了关于如何使用PBBM为创新药和仿制药建立BE安全空间的详细案例研究。新的案例研究和文献示例展示了BE安全空间的应用,例如如何设定体外溶出/粒度分布(PSD)规格、拓宽溶出规格以取代f2测试,或应用于放大和批准后变更(SUPAC)生物豁免。讨论了详细的PBBM设置工作流程以及建立安全空间和知识空间所需的常见临床研究数据要求。文中还通过决策树描述了体外溶出曲线建模方法,即扩散层模型(DLM)、Takano模型和Johnson模型,或拟合的PSD和威布尔函数。分享了对创新药和仿制药进行安全空间动力学溶出参数的参数敏感性分析以及虚拟生物等效性(VBE)建模的方法。阐述了生物预测溶出方法开发的必要性以及PBBM开发和验收标准面临的挑战。