Zingmark Per-Henrik, Edenius Charlotte, Karlsson Mats O
AstraZeneca R&D Södertälje, Sweden.
Br J Clin Pharmacol. 2004 Oct;58(4):378-89. doi: 10.1111/j.1365-2125.2004.02177.x.
(i) To model the effects of the monoclonal antibody ATM-027 on the number of target cells and on the receptor density on the cell surface as measured by Fluorescence Activated Cell Sorter analysis, (ii) to investigate the effects of categorizing a continuous scale, and (iii) to simulate a phase II trial from phase I data in order to evaluate the predictive performance of the model by comparison with the actual trial results.
Based on the data from one phase I and one phase II study in multiple sclerosis (MS) patients, models were developed to characterize the pharmacokinetics and pharmacodynamics of the monoclonal antibody ATM-027 and its effects on Vbeta5.2/5.3+ T cells. The pharmacodynamic variables were the number of target T cells and the expression of its receptor. The latter was modelled in both a categorical and continuous way. The modelling was performed with a nonlinear mixed effects approach using the software NONMEM. The joint continuous models were used to simulate the phase II trial from the phase I data.
The pharmacokinetics of ATM-027 were characterized by a two-compartment model with a total volume of distribution of 5.9 litres and a terminal half-life of 22.3 days (phase II parameter estimates) in the typical patient. Continuous receptor expression was modelled using an inhibitory sigmoidal Emax-model. Similar results from the phase I and phase II data were obtained, and EC50 was estimated to be 138 and 148 microg litre(-1), respectively. Categorical receptor expression was modelled using a proportional odds model, and the EC50 values obtained were highly correlated with those from the continuous model. The numbers of target T cells were also modelled and treatment with ATM-027 decreased the number of cells to 25.7% and 28.9% of their baseline values in the phase I and II trials, respectively. EC50s for the decrease in the number of T cells were 83 microg litre(-1) and 307 microg litre(-1), respectively. Simulations of the phase II trial from the phase I models gave good predictions of the dosing regimens administered in the phase II study.
All aspects of effects of the monoclonal antibody ATM-027 on Vbeta5.2/5.3+ T cells were modelled and the phase II trial was simulated from phase I data. The effects of categorizing a continuous scale were also evaluated.
(i)通过荧光激活细胞分选分析,建立单克隆抗体ATM - 027对靶细胞数量及细胞表面受体密度影响的模型;(ii)研究对连续量表进行分类的影响;(iii)根据I期数据模拟II期试验,通过与实际试验结果比较评估模型的预测性能。
基于一项针对多发性硬化症(MS)患者的I期和一项II期研究的数据,建立模型以表征单克隆抗体ATM - 027的药代动力学和药效学及其对Vbeta5.2/5.3 + T细胞的影响。药效学变量为靶T细胞数量及其受体表达。后者以分类和连续两种方式建模。使用NONMEM软件采用非线性混合效应方法进行建模。联合连续模型用于根据I期数据模拟II期试验。
在典型患者中,ATM - 027的药代动力学特征为二室模型,分布总体积为5.9升,终末半衰期为22.3天(II期参数估计值)。连续受体表达采用抑制性S型Emax模型建模。从I期和II期数据获得了相似结果,估计EC50分别为138和148微克/升。分类受体表达采用比例优势模型建模,获得的EC50值与连续模型的高度相关。还对靶T细胞数量进行了建模,在I期和II期试验中,用ATM - 027治疗分别使细胞数量降至基线值的25.7%和28.9%。T细胞数量减少的EC50分别为83微克/升和307微克/升。根据I期模型对II期试验的模拟对II期研究中给予的给药方案给出了良好预测。
对单克隆抗体ATM - 027对Vbeta5.2/5.3 + T细胞影响的各个方面进行了建模,并根据I期数据模拟了II期试验。还评估了对连续量表进行分类的影响。