Dickinson Harri, Jiang Zhixin, Dickinson Paul A, Wilding Ian R, Elliott Geraldine A
Seda Pharmaceutical Development Services, Oakfield Road Cheadle Royal Business Park, Cheadle, Stockport SK8 3GX, UK.
Ian Wilding Associates Limited, 10 Glebe Street, Nottingham NG9 1BZ, UK.
Pharmaceutics. 2025 May 28;17(6):708. doi: 10.3390/pharmaceutics17060708.
This paper describes the use of physiologically based biopharmaceutics modelling (PBBM) to predict the effect of food on diclofenac and ibuprofen absorption from ultra-rapid-release Surge Dose tablets. Fasted-state diclofenac pharmacokinetics (PK) were used with published IV data and biorelevant dissolution data for the diclofenac tablets to develop a mechanistic PBBM model which could be used to predict absorption. The resultant model that best fitted the PK data showed that, in vivo, the ultra-rapid-release tablets behaved like a solution with a median time to peak plasma concentration (T) of 20 min. Incorporating a well-established model for gastric emptying in the fed state, the fed T for these tablets was predicted to be 21 min, similar to that seen in fasted subjects. Use of a PBBM model to predict absorption of ibuprofen in the fasted and fed states again showed that ultra-rapid-release tablets produced fast and consistent absorption independent of the presence of food. Predicted mean T values were 31.8 and 35.4 min in the fasted and fed states, respectively. Therefore, even if Surge Dose formulations are taken after food, as frequently recommended for NSAIDs, the speed of absorption and subsequent onset of action should not be impacted.
本文描述了使用基于生理学的生物药剂学建模(PBBM)来预测食物对双氯芬酸和布洛芬从超快速释放速冲剂量片剂中吸收的影响。使用空腹状态下双氯芬酸的药代动力学(PK)数据以及已发表的双氯芬酸片剂的静脉注射数据和生物相关溶出数据,建立了一个可用于预测吸收的机理PBBM模型。最符合PK数据的最终模型表明,在体内,超快速释放片剂的行为类似于溶液,血浆浓度达峰中位时间(T)为20分钟。将一个成熟的进食状态下胃排空模型纳入其中,预测这些片剂在进食状态下的T为21分钟,与空腹受试者的情况相似。使用PBBM模型预测布洛芬在空腹和进食状态下的吸收情况,再次表明超快速释放片剂产生快速且一致的吸收,与食物的存在无关。预测的空腹和进食状态下的平均T值分别为31.8分钟和35.4分钟。因此,即使按照非甾体抗炎药常用的建议在进食后服用速冲剂量制剂,吸收速度和随后的起效时间也不应受到影响。