Laboratory of Translational Immunology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.
Model-informed Drug Development Consultant, Pharmetheus AB, Uppsala, Sweden.
Br J Clin Pharmacol. 2020 Aug;86(8):1499-1509. doi: 10.1111/bcp.14256. Epub 2020 Mar 10.
To develop a semi-mechanistic model, based on glutathione depletion and predict a previously identified intra-individual reduction in busulfan clearance to aid in more precise dosing.
Busulfan concentration data, measured as part of regular care for allogeneic hematopoietic cell transplantation (HCT) patients, were used to develop a semi-mechanistic model and compare it to a previously developed empirical model. The latter included an empirically estimated time effect, where the semi-mechanistic model included theoretical glutathione depletion. As older age has been related to lower glutathione levels, this was tested as a covariate in the semi-mechanistic model. Lastly, a therapeutic drug monitoring (TDM) simulation was performed comparing the two models in target attainment.
In both models, a similar clearance decrease of 7% (range -82% to 44%), with a proportionality to busulfan metabolism, was found. After 40 years of age, the time effect increased with 4% per year of age (0.6-8%, P = 0.009), causing the effect to increase more than a 2-fold over the observed age-range (0-73 years). Compared to the empirical model, the final semi-mechanistic model increased target attainment from 74% to 76%, mainly through better predictions for adult patients.
These results suggest that the time-dependent decrease in busulfan clearance may be related to gluthathione depletion. This effect increased with older age (>40 years) and was proportional to busulfan metabolism. The newly constructed semi-mechanistic model could be used to further improve TDM-guided exposure target attainment of busulfan in patients undergoing HCT.
基于谷胱甘肽耗竭,开发一种半机械论模型,预测先前确定的个体内部白消安清除率降低,以帮助更精确地给药。
使用异基因造血细胞移植(HCT)患者常规护理中测量的白消安浓度数据来开发半机械论模型,并将其与先前开发的经验模型进行比较。后者包括一个经验估计的时间效应,其中半机械论模型包括理论谷胱甘肽耗竭。由于年龄较大与谷胱甘肽水平较低有关,因此在半机械论模型中对此进行了协变量测试。最后,进行治疗药物监测(TDM)模拟,比较两种模型在目标实现方面的差异。
在两个模型中,都发现清除率相似下降 7%(范围-82%至 44%),与白消安代谢成比例。40 岁以后,时间效应每年增加 4%(0.6-8%,P=0.009),导致观察到的年龄范围(0-73 岁)内效应增加超过两倍。与经验模型相比,最终的半机械论模型使目标实现从 74%提高到 76%,主要通过对成年患者的更好预测来实现。
这些结果表明,白消安清除率的时间依赖性下降可能与谷胱甘肽耗竭有关。这种效应随着年龄的增长(>40 岁)而增加,并与白消安代谢成比例。新构建的半机械论模型可用于进一步改善接受 HCT 的患者中白消安 TDM 指导的暴露目标实现。