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在随机 I/II/III 期研究的汇总分析中,阿利西尤单抗、PCSK9 和低密度脂蛋白胆固醇的联合半机械靶介导药物处置和药代动力学药效学模型。

Combined Semi-mechanistic Target-Mediated Drug Disposition and Pharmacokinetic-Pharmacodynamic Models of Alirocumab, PCSK9, and Low-Density Lipoprotein Cholesterol in a Pooled Analysis of Randomized Phase I/II/III Studies.

机构信息

Pharmacokinetics-Pharmacodynamics and Metabolism, Translational Medicine and Early Development, Sanofi R&D, Montpellier, France.

Pharmacokinetics and Pharmacometrics Department, School of Pharmacy, UFR Pharmacie, Montpellier University, 15 Avenue Charles Flahault, 34000, Montpellier, France.

出版信息

Eur J Drug Metab Pharmacokinet. 2022 Nov;47(6):789-802. doi: 10.1007/s13318-022-00787-4. Epub 2022 Aug 16.

DOI:10.1007/s13318-022-00787-4
PMID:35974290
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9633469/
Abstract

BACKGROUND AND OBJECTIVES

Alirocumab is a cholesterol-lowering monoclonal antibody targeting proprotein convertase subtilisin kexin type 9 (PCSK9) indicated in the prevention of cardiovascular risk and exhibiting target-mediated drug disposition (TMDD). The aim of this work was to develop an integrated pharmacokinetic-pharmacodynamic model to describe the interaction of alirocumab with PCSK9 and its impact on the evolution of low-density lipoprotein cholesterol (LDL-C) levels and explore labeling specification for subpopulations.

METHODS

Using data collected from nine phase I/II/III clinical studies (n = 527, subcutaneous or intravenous administration), a TMDD model considering the quasi-steady-state approximation was developed to characterize the interaction dynamics of alirocumab and PCSK9, combined with an indirect pharmacodynamic model describing the inhibition of LDL-C by PCSK9 in a one-step approach using nonlinear-mixed effects modeling. A "full fixed effects modeling" strategy was implemented to quantify parameter-covariate relationships.

RESULTS

The model captures the interaction between alirocumab and its target PCSK9 and how this mechanism drives LDL-C depletion, with an estimation of the associated between-subject variability of model parameters and the quantification of clinically relevant parameter-covariate relationships. Co-administration of statins was found to increase the central volume of distribution of alirocumab by 1.75-fold (5.6 L versus 3.2 L) and allow for a 14% greater maximum lipid-lowering effect (88% versus 74%), highlighting the synergy of action between anti-PCSK9 therapeutic antibodies and statins toward lowering LDL-C plasma levels. Baseline levels of PCSK9 were found to be related to the amplitude of LDL-C variations by increasing the concentration of free PCSK9 necessary to reach half its capacity of inhibition of LDL-C degradation.

CONCLUSION

The maximum effect of alirocumab is achieved when free PCSK9 concentration is close to zero, as seen mostly after 150 mg every 2 weeks (Q2W) or 300 mg every 4 weeks (Q4W), indicating that there would be no additional clinical benefit of increasing the dose higher than these recommended dosing regimens.

摘要

背景和目的

阿利西尤单抗是一种针对前蛋白转化酶枯草溶菌素 9(PCSK9)的降胆固醇单克隆抗体,用于预防心血管风险,并表现出靶向介导的药物处置(TMDD)。本研究旨在开发一个综合药代动力学-药效学模型,以描述阿利西尤单抗与 PCSK9 的相互作用及其对低密度脂蛋白胆固醇(LDL-C)水平演变的影响,并探索亚人群的标签规范。

方法

利用来自 9 项 I/II/III 期临床研究(n=527,皮下或静脉注射)的数据,开发了一个考虑准稳态近似的 TMDD 模型,以描述阿利西尤单抗和 PCSK9 的相互作用动力学,同时结合一个间接药效学模型,以一步法描述 PCSK9 对 LDL-C 的抑制作用,使用非线性混合效应建模。实施了“全固定效应建模”策略来量化参数-协变量关系。

结果

该模型捕获了阿利西尤单抗与其靶标 PCSK9 之间的相互作用,以及这种机制如何驱动 LDL-C 的消耗,同时估计了模型参数的个体间变异性,并量化了临床相关的参数-协变量关系。发现他汀类药物的联合用药使阿利西尤单抗的中心分布容积增加了 1.75 倍(5.6 L 比 3.2 L),并使最大降脂效果增加了 14%(88%比 74%),突出了抗 PCSK9 治疗性抗体与他汀类药物联合降低 LDL-C 血浆水平的协同作用。PCSK9 的基线水平与 LDL-C 变化的幅度有关,通过增加达到其 LDL-C 降解抑制能力一半所需的游离 PCSK9 浓度来提高。

结论

当游离 PCSK9 浓度接近零时,阿利西尤单抗的最大效应得以实现,这主要发生在每 2 周 150mg(Q2W)或每 4 周 300mg(Q4W)的剂量后,表明高于这些推荐剂量方案增加剂量不会带来额外的临床获益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1047/9633469/1464a1ef9ca8/13318_2022_787_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1047/9633469/40f8b17e9e4e/13318_2022_787_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1047/9633469/24be5c7b7981/13318_2022_787_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1047/9633469/0e16629498e7/13318_2022_787_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1047/9633469/1464a1ef9ca8/13318_2022_787_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1047/9633469/40f8b17e9e4e/13318_2022_787_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1047/9633469/24be5c7b7981/13318_2022_787_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1047/9633469/0e16629498e7/13318_2022_787_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1047/9633469/1464a1ef9ca8/13318_2022_787_Fig4_HTML.jpg

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