Suzuki Yuki, Matsunaga Noriko, Aoyama Takahiko, Ogami Chika, Hasegawa Chihiro, Iida Satofumi, To Hideto, Kitahara Takashi, Tsuji Yasuhiro
Laboratory of Clinical Pharmacometrics, School of Pharmacy, Nihon University, Funabashi, Chiba, Japan.
Department of Hospital Pharmacy, Nagasaki University Hospital, Nagasaki, Nagasaki, Japan.
Clin Transl Sci. 2024 Dec;17(12):e70097. doi: 10.1111/cts.70097.
The pharmacokinetics (PKs) of mycophenolic acid (MPA) exhibit considerable complexity and large variability. We developed a population pharmacokinetic (popPK) model to predict the complex PK of MPA by examining an absorption model. Forty-two patients who had undergone renal transplantation were included in this study. popPK analysis, incorporating several absorption models, was performed using the nonlinear mixed-effects modeling program NONMEM. The MPA area under the concentration-time curve at 0-12 h (AUC0-12) was simulated using the final model to calculate the recommended dose. The PK of MPA was adequately described using a two-compartment model incorporating sequential zero- and first-order absorption with lag time. Total body weight, renal function (RF), and posttransplantation day (PTD) were included as covariates affecting MPA PK. The final model estimates were 7.56, 11.6 L/h, 104.0 L, 17.3 L/h, 169.0 L, 0.0453, 0.283, and 1.95 h for apparent nonrenal clearance, apparent renal clearance, apparent central volume of distribution, apparent intercompartmental clearance, apparent peripheral volume of distribution, absorption half-life, lag time, and duration of zero-order absorption, respectively. Simulation results showed that a dose regimen of 500-1000 mg twice daily is recommended during the early posttransplantation period. However, dose reduction could be required with increased PTD and decreased RF. The complex PK of MPA was explained using an absorption model. The developed popPK model can provide useful information regarding individual dosing regimens based on PTD and RF.
霉酚酸(MPA)的药代动力学(PKs)表现出相当大的复杂性和变异性。我们通过研究吸收模型,开发了一个群体药代动力学(popPK)模型来预测MPA复杂的PK。本研究纳入了42例接受肾移植的患者。使用非线性混合效应建模程序NONMEM进行了包含几种吸收模型的popPK分析。使用最终模型模拟0至12小时浓度-时间曲线下的MPA面积(AUC0-12)以计算推荐剂量。MPA的PK使用包含顺序零级和一级吸收及滞后时间的二室模型得到了充分描述。总体重、肾功能(RF)和移植后天数(PTD)作为影响MPA PK的协变量纳入。最终模型对表观非肾清除率、表观肾清除率、表观中央分布容积、表观隔室间清除率、表观外周分布容积、吸收半衰期、滞后时间和零级吸收持续时间的估计分别为7.56、11.6 L/h、104.0 L、17.3 L/h、169.0 L、0.0453、0.283和1.95 h。模拟结果表明,移植后早期推荐每日两次500 - 1000 mg的给药方案。然而,随着PTD增加和RF降低可能需要减少剂量。通过吸收模型解释了MPA复杂的PK。所开发的popPK模型可以基于PTD和RF提供有关个体给药方案的有用信息。