稳定的肾移植患者全血和外周血单核细胞中他克莫司浓度的群体药代动力学。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-10-10 DOI:10.1111/bcp.16277
Katrine Agergaard, Helle C Thiesson, Jan Carstens, Christine E Staatz, Erkka Järvinen, Flemming Nielsen, Heidi Dahl Christensen, Rikke Juhl-Sandberg, Kim Brøsen, Tore Bjerregaard Stage, Dorte Terp Andersen, Maria C Kjellsson, Troels K Bergmann
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引用次数: 0

摘要

目的:根据全血药物浓度对他克莫司进行治疗药物监测是常规做法。外周血单核细胞(PMBCs)中的他克莫司浓度可能能更好地反映治疗目标部位的药物暴露情况。我们的目的是通过建立群体药代动力学模型,描述他克莫司全血和外周血单核细胞浓度之间的关系,以及患者特征对这种关系的影响:方法:我们前瞻性地招募了 63 名病情稳定的成年肾移植患者,并收集了他克莫司的高密度(12 小时,18 人)或低密度(4 小时,45 人)药代动力学曲线。从全血中分离出 PBMC(Ficoll 密度梯度离心法),使用液相色谱-质谱法分析全血和 PBMC 中的药物浓度。患者基因型(CYP3A4/5、ABCB1、NR1I2)通过 PCR 进行评估。使用 NONMEM 进行了群体药代动力学建模和统计评估:结果:他克莫司的全血药物动力学模型采用滞后时间和一阶吸收与消除的两室药代动力学模型进行了很好的描述。根据全血浓度估算他克莫司 PBMC 浓度的最佳方法是使用一个比例因子,即全血与 PBMC 浓度之比(RC:PBMC),该比例因子表示他克莫司在 PBMC 中的分布程度。CYP3A5*1 非表达者和 NR1I2-25 385T 等位基因表达者的 RC:PBMC 比率较高,分别为 42.4% 和 60.7%:由于他克莫司在 PBMCs 中的分布存在大量无法解释的残留变异,因此无法根据全血浓度和协变量准确预测他克莫司在 PBMCs 中的浓度。
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Population pharmacokinetics of tacrolimus whole blood and peripheral blood mononuclear cell concentrations in stable kidney-transplanted patients.

Aim: Therapeutic drug monitoring of tacrolimus based on whole blood drug concentrations is routinely performed. The concentration of tacrolimus in peripheral blood mononuclear cells (PMBCs) is likely to better reflect drug exposure at the treatment target site. We aimed to describe the relationship between tacrolimus whole blood and PBMC concentrations, and the influence of patient characteristics on this relationship by developing a population pharmacokinetic model.

Methods: We prospectively enrolled 63 stable adult kidney-transplanted patients and collected dense (12-h, n = 18) or sparse (4-h, n = 45) pharmacokinetic profiles of tacrolimus. PBMCs were isolated from whole blood (Ficoll density gradient centrifugation), and drug concentrations in whole blood and PBMCs were analysed using liquid chromatography-mass spectrometry. Patient genotype (CYP3A4/5, ABCB1, NR1I2) was assessed with PCR. Population pharmacokinetic modelling and statistical evaluation was performed using NONMEM.

Results: Tacrolimus whole blood concentrations were well described using a two-compartment pharmacokinetic model with a lag-time and first-order absorption and elimination. Tacrolimus PBMC concentrations were best estimated from whole blood concentrations with the use of a scaling factor, the ratio of whole blood to PBMC concentrations (RC:PBMC), which was the extent of tacrolimus distribution into PBMC. CYP3A5*1 non-expressors and NR1I2-25 385T allele expressors demonstrated higher RC:PBMC ratios of 42.4% and 60.7%, respectively.

Conclusion: Tacrolimus PBMC concentration could not be accurately predicted from whole blood concentrations and covariates because of significant residual unexplained variability in the distribution of tacrolimus into PBMCs and may need to be measured directly if required for future studies.

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