Orion Corporation, Orion Pharma, Finland.
Triskelion B.V., the Netherlands.
Eur J Pharm Biopharm. 2020 Nov;156:75-83. doi: 10.1016/j.ejpb.2020.08.011. Epub 2020 Aug 19.
The prediction of absorption properties plays a key role in formulation development when the compound under development shows poor solubility and its absorption is therefore presumed to be solubility limited. In our work, we combined and compared data obtained from in vitro dissolution tests, transit intestinal model studies (TIM-1) and physiologically based pharmacokinetic modelling. Our aim was to determine the ability of these methods to predict performance of poorly soluble lipophilic weak base in vivo. The validity of the predictive methods was evaluated against the in vivo clinical pharmacokinetic (PK) data obtained after administration of the first test formulation, T1. The aim of our study was to utilize the models in evaluating absorption properties of the second test formulation, T2, which has not yet been clinically administered. The compound in the studies was ODM-204, which is a novel, orally administered, investigational, nonsteroidal dual inhibitor of CYP17A1 and androgen receptor. Owing to its physicochemical properties ODM-204 is prone to low or variable bioavailability. The models examined provided congruent data on dose dependent absorption, food effect at a dose of 200 mg and on the effect of API (active pharmaceutical ingredient) particle size on absorption. Our study shows that the predictive tools of in vitro dissolution, TIM-1 system and the PBPK (physiologically based pharmacokinetic) simulation, showed predictive power of different mechanisms of bioavailability and together provided valuable information for decision making.
在开发化合物时,如果该化合物溶解度较差,吸收被认为是受溶解度限制的,那么预测吸收性质对于配方开发就起着关键作用。在我们的工作中,我们结合并比较了体外溶出试验、转运肠道模型研究 (TIM-1) 和基于生理学的药代动力学模型的数据。我们的目的是确定这些方法预测体内难溶性亲脂性弱碱性化合物性能的能力。预测方法的有效性是通过在给予第一个测试配方 T1 后获得的体内临床药代动力学 (PK) 数据进行评估的。我们研究的目的是利用这些模型来评估尚未进行临床给药的第二个测试配方 T2 的吸收特性。研究中的化合物是 ODM-204,这是一种新型的口服、研究性、非甾体类 CYP17A1 和雄激素受体双重抑制剂。由于其物理化学性质,ODM-204 容易出现低或可变的生物利用度。所检查的模型提供了关于剂量依赖性吸收、200mg 剂量下的食物效应以及 API(活性药物成分)粒径对吸收影响的一致数据。我们的研究表明,体外溶出度、TIM-1 系统和 PBPK(基于生理学的药代动力学)模拟等预测工具,对不同的生物利用度机制具有预测能力,共同为决策提供了有价值的信息。