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使用3期数据对度普利尤单抗进行的基础和协变量群体药代动力学分析。

Base and Covariate Population Pharmacokinetic Analyses of Dupilumab Using Phase 3 Data.

作者信息

Kovalenko Pavel, Davis John D, Li Meng, Rippley Ronda, Ardeleanu Marius, Shumel Brad, Graham Neil M H, Pirozzi Gianluca, Kamal Mohamed A, DiCioccio A Thomas

机构信息

Regeneron Pharmaceuticals, Inc., Tarrytown, New York, USA.

Sanofi, Bridgewater, New Jersey, USA.

出版信息

Clin Pharmacol Drug Dev. 2020 Aug;9(6):756-767. doi: 10.1002/cpdd.780. Epub 2020 Feb 25.

DOI:10.1002/cpdd.780
PMID:32096596
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7496533/
Abstract

Population pharmacokinetic base and covariate models were developed to study functional dupilumab for regulatory submissions, using data from healthy volunteers and patients with moderate-to-severe atopic dermatitis (AD) receiving intravenous or subcutaneous doses. Sixteen studies were pooled (N = 2115; 202 healthy volunteers, 1913 AD patients). The best model was a 2-compartment model with linear and Michaelis-Menten elimination and 3 transit compartments describing absorption. A stepwise approach to model building, with some parameters estimated using mostly rich data and subsequently fixed, was used to avoid adverse effects of sparse data and a steep target-mediated phase on pharmacokinetic parameters, which require rich sampling for proper estimation. Parameterization of models in terms of rates was a useful alternative to the parameterization in terms of clearances, allowing for a reduced number of covariates while providing accurate predictions. While antidrug antibodies, albumin, race, body mass index, and Eczema Area and Severity Index score were statistically significant covariates, only body weight had a notable effect on central volume, explaining interindividual variability. The model adequately described dupilumab pharmacokinetics in phase 3 trials.

摘要

为了进行监管申报研究度普利尤单抗的功能,利用来自健康志愿者和接受静脉或皮下给药的中度至重度特应性皮炎(AD)患者的数据,建立了群体药代动力学基础模型和协变量模型。汇总了16项研究(N = 2115;202名健康志愿者,1913名AD患者)。最佳模型是一个具有线性和米氏消除的二室模型以及3个描述吸收的转运室。采用逐步构建模型的方法,一些参数主要使用丰富的数据进行估计,随后固定下来,以避免稀疏数据和陡峭的靶点介导阶段对药代动力学参数的不利影响,药代动力学参数需要丰富的采样才能进行准确估计。用速率对模型进行参数化是用清除率进行参数化的一种有用替代方法,它可以减少协变量的数量,同时提供准确的预测。虽然抗药抗体、白蛋白、种族、体重指数和湿疹面积及严重程度指数评分在统计学上是显著的协变量,但只有体重对中央室容积有显著影响,解释了个体间的变异性。该模型充分描述了度普利尤单抗在3期试验中的药代动力学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22dd/7496533/4fb9a2255f79/CPDD-9-756-g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22dd/7496533/ed36a26993fe/CPDD-9-756-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22dd/7496533/8d8702413a2f/CPDD-9-756-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22dd/7496533/4fb9a2255f79/CPDD-9-756-g005.jpg

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