Drug Product Design, Pfizer, Discovery Park, Ramsgate Road, Sandwich, CT13 9ND, UK.
UCL School of Pharmacy, 29-39 Brunswick Square, Bloomsbury, London, WC1N 1AX, UK.
AAPS J. 2022 Jan 4;24(1):17. doi: 10.1208/s12248-021-00663-0.
The present work aimed to differentiate between in vitro dissolution profiles of ibuprofen as input for GastroPlus™ and to see the impact on systemic exposure. In vitro dissolution profiles of ibuprofen obtained under low- and high-buffered dissolution media were used as input using the z-factor approach. In a second step, a customized surface pH calculator was applied to predict the surface pH of ibuprofen under these low- and high-buffered dissolution conditions. These surface pH values were adopted in GastroPlus™ and simulations were performed to predict the systemic outcome. Simulated data were compared with systemic data of ibuprofen obtained under fasted state conditions in healthy subjects. The slower dissolution rate observed when working under low-buffered conditions nicely matched with the slower dissolution rate as observed during the clinical aspiration study and was in line with the systemic exposure of the drug. Finally, a population simulation was performed to explore the impact of z-factor towards bioequivalence (BE) criteria (so-called safe space). Concerning future perspectives, the customized calculator should be developed in such a way to make it possible to predict the dissolution rate (being informed by the particle size distribution) which, in its turn, can be used as a surrogate to predict the USP2 dissolution curve. Subsequently, validation can be done by using this profile as input for PBPK platforms.
本工作旨在区分布洛芬的体外溶出曲线,为 GastroPlus™ 提供输入,并观察其对系统暴露的影响。采用 z 因子法将低缓冲和高缓冲溶出介质下获得的布洛芬体外溶出曲线作为输入。在第二步中,应用定制的表面 pH 计算器预测低缓冲和高缓冲溶出条件下布洛芬的表面 pH 值。采用这些表面 pH 值在 GastroPlus™ 中进行模拟,以预测系统结果。将模拟数据与健康受试者在空腹条件下获得的布洛芬的系统数据进行比较。在低缓冲条件下观察到的较慢溶解速率与临床抽吸研究中观察到的较慢溶解速率非常吻合,与药物的系统暴露一致。最后,进行了群体模拟,以探讨 z 因子对生物等效性(BE)标准(所谓的安全空间)的影响。关于未来的展望,应该以一种能够预测(由粒度分布提供信息)溶解速率的方式来开发定制计算器,而这反过来又可以用作预测 USP2 溶解曲线的替代方法。随后,可以通过将该曲线作为输入用于 PBPK 平台来进行验证。