Agergaard Katrine, Thiesson Helle C, Carstens Jan, Staatz Christine E, Järvinen Erkka, Nielsen Flemming, Christensen Heidi Dahl, Juhl-Sandberg Rikke, Brøsen Kim, Stage Tore Bjerregaard, Andersen Dorte Terp, Kjellsson Maria C, Bergmann Troels K
Department of Regional Health Research, University of Southern Denmark, Esbjerg, Denmark.
Department of Nephrology, Odense University Hospital, Odense, Denmark.
Br J Clin Pharmacol. 2025 Mar;91(3):761-773. doi: 10.1111/bcp.16277. Epub 2024 Oct 10.
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.
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.
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 (R), which was the extent of tacrolimus distribution into PBMC. CYP3A5*1 non-expressors and NR1I2-25 385T allele expressors demonstrated higher R ratios of 42.4% and 60.7%, respectively.
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.
基于全血药物浓度进行他克莫司的治疗药物监测是常规操作。外周血单个核细胞(PMBCs)中他克莫司的浓度可能能更好地反映治疗靶点部位的药物暴露情况。我们旨在通过建立群体药代动力学模型来描述他克莫司全血浓度与PBMC浓度之间的关系,以及患者特征对这种关系的影响。
我们前瞻性纳入了63例稳定的成年肾移植患者,并收集了他克莫司密集(12小时,n = 18)或稀疏(4小时,n = 45)的药代动力学数据。从全血中分离出PBMCs(Ficoll密度梯度离心法),并使用液相色谱 - 质谱法分析全血和PBMCs中的药物浓度。通过PCR评估患者基因型(CYP3A4/5、ABCB1、NR1I2)。使用NONMEM进行群体药代动力学建模和统计评估。
使用具有滞后时间和一级吸收与消除的二室药代动力学模型可以很好地描述他克莫司全血浓度。他克莫司PBMC浓度最好通过使用一个比例因子,即全血与PBMC浓度之比(R),从全血浓度中进行估算,R是他克莫司在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R比值分别较高,为42.4%和60.7%。
由于他克莫司在PBMCs中的分布存在显著的无法解释的残余变异性,无法从全血浓度和协变量准确预测他克莫司PBMC浓度,如果未来研究需要,可能需要直接进行测量。