Center of Clinical Pharmacology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Clin Transl Sci. 2023 Jan;16(1):85-91. doi: 10.1111/cts.13426. Epub 2022 Oct 17.
In vitro-in vivo correlation (IVIVC) allows prediction of the in vivo performance of a pharmaceutical product based on its in vitro drug release profiles and can be used to reduce the number of bioequivalence (BE) studies during product development, and facilitate certain regulatory decisions. Here, we developed an IVIVC model for pitavastatin calcium, a basic Biopharmaceutics Classification System (BCS) II lipid-lowering drug, which was then used to predict the BE outcome of formulations manufactured at two manufacturers. In addition, virtual trials using the IVIVC model using pH 4.0 acetate buffer dissolution showed similarity in areas under the curves and maximum plasma concentration (C ) for test and reference tablets under fasting condition. These predicted results were verified in definitive BE study. In conclusion, we demonstrated that for certain BCS II molecules, IVIVC modeling could be used as a priori to predict the BE outcome.
体外-体内相关性 (IVIVC) 允许基于药物释放曲线预测药物产品的体内性能,并可用于减少产品开发过程中的生物等效性 (BE) 研究数量,并促进某些监管决策。在这里,我们开发了一种用于匹伐他汀钙的 IVIVC 模型,匹伐他汀钙是一种基本的生物药剂学分类系统 (BCS) II 类降脂药物,然后使用该模型预测了在两家制造商制造的制剂的 BE 结果。此外,使用 IVIVC 模型进行的虚拟试验表明,在空腹条件下,使用 pH 4.0 醋酸盐缓冲液溶解时,测试和参比片剂的曲线下面积和最大血浆浓度 (C ) 具有相似性。这些预测结果在确证性 BE 研究中得到了验证。总之,我们证明了对于某些 BCS II 类分子,IVIVC 建模可以用作预测 BE 结果的先验方法。