Centre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Laboratory for Safety Assessment and ADME, Pharmaceuticals Research Center, Asahi Kasei Pharma Corporation, Shizuoka, Japan.
CPT Pharmacometrics Syst Pharmacol. 2021 Feb;10(2):137-147. doi: 10.1002/psp4.12582. Epub 2021 Jan 19.
Coproporphyrin I (CPI) is an endogenous biomarker of OATP1B activity and associated drug-drug interactions. In this study, a minimal physiologically-based pharmacokinetic model was developed to investigate the impact of OATP1B1 genotype (c.521T>C), ethnicity, and sex on CPI pharmacokinetics and interindividual variability in its baseline. The model implemented mechanistic descriptions of CPI hepatic transport between liver blood and liver tissue and renal excretion. Key model parameters (e.g., endogenous CPI synthesis rate, and CPI hepatic uptake clearance) were estimated by fitting the model simultaneously to three independent CPI clinical datasets (plasma and urine data) obtained from white (n = 16, men and women) and Asian-Indian (n = 26, all men) subjects, with c.521 variants (TT, TC, and CC). The optimized CPI model successfully described the observed data using c.521T>C genotype, ethnicity, and sex as covariates. CPI hepatic active was 79% lower in 521CC relative to the wild type and 42% lower in Asian-Indians relative to white subjects, whereas CPI synthesis was 23% higher in male relative to female subjects. Parameter sensitivity analysis showed marginal impact of the assumption of CPI synthesis site (blood or liver), resulting in comparable recovery of plasma and urine CPI data. Lower magnitude of CPI-drug interaction was simulated in 521CC subjects, suggesting the risk of underestimation of CPI-drug interaction without prior OATP1B1 genotyping. The CPI model incorporates key covariates contributing to interindividual variability in its baseline and highlights the utility of the CPI modeling to facilitate the design of prospective clinical studies to maximize the sensitivity of this biomarker.
粪卟啉原 I(CPI)是 OATP1B 活性的内源性生物标志物,与药物-药物相互作用相关。在这项研究中,开发了一个最小的基于生理学的药代动力学模型,以研究 OATP1B1 基因型(c.521T>C)、种族和性别对 CPI 药代动力学和个体间基线变异性的影响。该模型实现了 CPI 肝内转运在肝血液和肝组织之间以及肾排泄的机制描述。关键模型参数(例如,内源性 CPI 合成速率和 CPI 肝摄取清除率)通过同时拟合三个独立的 CPI 临床数据集(来自白种人(n=16,男女)和亚洲印度人(n=26,均为男性)的血浆和尿液数据)进行估计,这些数据集包含 c.521 变体(TT、TC 和 CC)。优化的 CPI 模型成功地使用 c.521T>C 基因型、种族和性别作为协变量来描述观察到的数据。与野生型相比,521CC 中的 CPI 肝活性降低了 79%,与白种人相比,亚洲印度人降低了 42%,而男性的 CPI 合成增加了 23%。参数敏感性分析表明,CPI 合成部位(血液或肝脏)的假设存在微小影响,这导致了对血浆和尿液 CPI 数据的恢复情况相当。在 521CC 受试者中模拟了 CPI-药物相互作用的幅度较小,这表明如果没有事先进行 OATP1B1 基因分型,可能会低估 CPI-药物相互作用的风险。CPI 模型纳入了导致其基线个体间变异性的关键协变量,并强调了 CPI 模型化的实用性,以促进前瞻性临床研究的设计,从而最大限度地提高这种生物标志物的敏感性。