Rohatagi Shashank, Zahir Hamim, Moberly James B, Truitt Kenneth E, Inaba Shin-ichi, Shimozato Takaichi, Carrothers T J
Daiichi Sankyo Pharma Development, 399 Thornall Street, Edison, NJ 08837, USA.
J Clin Pharmacol. 2009 Jan;49(1):50-62. doi: 10.1177/0091270008325672. Epub 2008 Oct 23.
Pharmacokinetic (PK) and exposure-response modeling of a selective sphingosine 1-phosphate receptor-1 modulator (CS-0777) was conducted in an iterative process to guide early clinical development decisions. A model based on preclinical data from monkeys was extrapolated to humans to support a single ascending dose (SAD) study. The model was updated after each cohort, providing guidance on both maximal inhibition and time to recovery for lymphocyte counts. A 2-compartment PK model with first-order absorption and elimination was found to describe the monkey and human datasets. The relationship between lymphocyte counts and active metabolite (M-1) concentrations was modeled via an indirect response model, whereby M-1 inhibited the reentry of lymphocytes to the circulation. The indirect-response model based on SAD data had an Imax of approximately 85% and an IC50 of 0.24 ng/mL. Additionally, based on SAD data, similar models were developed for lymphocyte subsets, including CD4 cells. Subsequently, simulations were utilized to design a multiple ascending dose study with adaptive dosing regimens that would meet targeted pharmacodynamic (PD) response thresholds (eg, minimum 40% reduction in lymphocytes) while maintaining CD4 counts above a reasonable safety threshold. In conclusion, model-based development and use of adaptive designs for dose optimization can reduce the time and number of subjects needed in early clinical development.
对一种选择性1-磷酸鞘氨醇受体-1调节剂(CS-0777)进行了药代动力学(PK)和暴露-反应建模,采用迭代过程来指导早期临床开发决策。基于猴子的临床前数据建立的模型被外推至人类,以支持单剂量递增(SAD)研究。每个队列研究后对模型进行更新,为淋巴细胞计数的最大抑制和恢复时间提供指导。发现一个具有一级吸收和消除的二室PK模型可描述猴子和人类数据集。通过间接反应模型对淋巴细胞计数与活性代谢物(M-1)浓度之间的关系进行建模,其中M-1抑制淋巴细胞重新进入循环。基于SAD数据的间接反应模型的Imax约为85%,IC50为0.24 ng/mL。此外,基于SAD数据,还为包括CD4细胞在内的淋巴细胞亚群建立了类似模型。随后,利用模拟设计了具有适应性给药方案的多剂量递增研究,该方案将达到目标药效学(PD)反应阈值(如淋巴细胞至少减少40%),同时将CD4计数维持在合理的安全阈值以上。总之,基于模型的开发和使用适应性设计进行剂量优化可以减少早期临床开发所需的时间和受试者数量。