Clinical Pharmacology & Bioanalytics, Pfizer Inc., New York, New York, USA.
Clinical Pharmacology & Bioanalytics, Pfizer Inc., Groton, Connecticut, USA.
CPT Pharmacometrics Syst Pharmacol. 2023 Dec;12(12):2013-2026. doi: 10.1002/psp4.13050. Epub 2023 Nov 22.
We sought to characterize the population pharmacokinetic/pharmacodynamic (PK/PD) relationship of bococizumab (RN316/PF-04950615), a humanized IgG2Δa monoclonal antibody that binds to secreted human proprotein convertase subtilisin kexin type 9 (PCSK9), using data derived from 16 phase I, II, and III clinical studies (36,066 bococizumab observations, 46,790 low-density lipoprotein cholesterol [LDL-C] measurements, 3499 participants). A two-compartment disposition model with parallel linear and Michaelis-Menten elimination and an indirect response model was used to characterize the population PK and LDL-C response of bococizumab. Potential model parameters and covariate relationships were explored, and visual predictive checks were used for model assessment and validation. Key covariates included the effect of anti-drug antibodies (ADAs) on exposure through impact on clearance and bioavailability; impact of statins on bococizumab elimination (maximal rate of metabolism); and impact of statins, Asian race, and male sex on LDL-C efficacy (maximum effect). ADAs and neutralizing ADAs did not have additional effects on LDL-C beyond the influence on bococizumab exposure. In conclusion, the population PK/PD model adequately describes bococizumab concentration and LDL-C efficacy. The covariate effects are consistent with the presumed mechanism of action of PCSK9 inhibitors. With increasing availability of antibody-based therapeutics, improved understanding of the effect of ADAs and statins on bococizumab PK/PD adds to the literature and enhances our pharmacological understanding of how immunogenicity and concomitant medications may impact the PK/PD of biotherapeutics.
我们旨在描述 bococizumab(RN316/PF-04950615)的群体药代动力学/药效学(PK/PD)关系,bococizumab 是一种与人源化 IgG2Δa 单克隆抗体,可结合分泌型人蛋白原转化酶枯草溶菌素 9(PCSK9)。该研究使用了来自 16 项 I、II 和 III 期临床研究的数据(36066 个 bococizumab 观察值,46790 个低密度脂蛋白胆固醇 [LDL-C] 测量值,3499 名参与者)。采用双室分布模型,具有平行线性和米氏消除以及间接反应模型,用于描述 bococizumab 的群体 PK 和 LDL-C 反应。探索了潜在的模型参数和协变量关系,并使用视觉预测检查进行了模型评估和验证。关键协变量包括抗药物抗体(ADA)对清除率和生物利用度的影响,从而影响暴露量;他汀类药物对 bococizumab 消除的影响(最大代谢速率);他汀类药物、亚洲种族和男性对 LDL-C 疗效的影响(最大效应)。ADA 和中和 ADA 对 LDL-C 的影响除了对 bococizumab 暴露的影响外,没有其他影响。总之,群体 PK/PD 模型充分描述了 bococizumab 浓度和 LDL-C 疗效。协变量的影响与 PCSK9 抑制剂的作用机制一致。随着基于抗体的治疗药物的日益普及,对 ADA 和他汀类药物对 bococizumab PK/PD 的影响的认识的提高,增加了文献的内容,并增强了我们对免疫原性和伴随药物如何影响生物治疗药物 PK/PD 的药理学理解。