Drug Metabolism and Pharmacokinetics, Drug Safety and Pharmacokinetics Laboratories, Research Headquarters, Taisho Pharmaceutical Co., Ltd., Saitama, Japan.
Development Headquarters, Taisho Pharmaceutical Co., Ltd., Tokyo, Japan.
Biopharm Drug Dispos. 2021 May;42(5):204-217. doi: 10.1002/bdd.2273. Epub 2021 Apr 3.
THY1773 is a novel arginine vasopressin 1B (V ) receptor antagonist that is under development as an oral drug for the treatment of major depressive disorder (MDD). Here we report our strategy to predict a clinically effective dose of THY1773 for MDD in the preclinical stage, and discuss the important insights gained by retrospective analysis of prediction accuracy. To predict human pharmacokinetic (PK) parameters, several extrapolation methods from animal or in vitro data to humans were investigated. The f correction intercept method and two-species-based allometry were used to extrapolate clearance from rats and dogs to humans. The physiologically based pharmacokinetics (PBPK)/receptor occupancy (RO) model was developed by linking free plasma concentration with pituitary V RO by the E model. As a result, the predicted clinically effective dose of THY1773 associated with 50% V RO was low enough (10 mg/day, or at maximum 110 mg/day) to warrant entering phase 1 clinical trials. In the phase 1 single ascending dose study, TS-121 capsule (active ingredient: THY1773) showed favorable PKs for THY1773 as expected, and in the separately conducted phase 1 RO study using positron emission tomography, the observed pituitary V RO was comparable to our prediction. Retrospective analysis of the prediction accuracy suggested that the prediction methods considering plasma protein binding, and avoiding having to apply unknown scaling factors obtained in animals to humans, would lead to better prediction. Selecting mechanism-based methods with reasonable assumptions would be critical for the successful prediction of a clinically effective dose in the preclinical stage of drug development.
THY1773 是一种新型精氨酸加压素 1B(V )受体拮抗剂,目前正在开发为治疗重度抑郁症(MDD)的口服药物。在这里,我们报告了在临床前阶段预测 THY1773 治疗 MDD 的临床有效剂量的策略,并讨论了通过对预测准确性的回顾性分析获得的重要见解。为了预测人体药代动力学(PK)参数,我们研究了几种从动物或体外数据外推到人体的方法。使用 f 校正截距法和双物种变异性方法,从大鼠和狗外推清除率到人体。通过 E 模型,将生理相关的药代动力学(PBPK)/受体占有率(RO)模型与垂体 V RO 相关联。结果表明,THY1773 与 50% V RO 相关的临床有效剂量足够低(10mg/天,或最高 110mg/天),足以进入 1 期临床试验。在 1 期单递增剂量研究中,TS-121 胶囊(有效成分:THY1773)表现出与预期一致的良好 PKs,而在单独进行的使用正电子发射断层扫描的 1 期 RO 研究中,观察到的垂体 V RO 与我们的预测相符。对预测准确性的回顾性分析表明,考虑血浆蛋白结合的预测方法,并避免将动物中获得的未知缩放因子应用于人体,将导致更好的预测。选择具有合理假设的基于机制的方法对于成功预测药物开发临床前阶段的临床有效剂量至关重要。