Population pharmacokinetic analysis identifies an absorption process model for mycophenolic acid in patients with renal transplant

IF 3.1 3区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL
Yuki Suzuki, Noriko Matsunaga, Takahiko Aoyama, Chika Ogami, Chihiro Hasegawa, Satofumi Iida, Hideto To, Takashi Kitahara, Yasuhiro Tsuji
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Abstract

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.

Abstract Image

人群药代动力学分析确定了肾移植患者麦考酚酸的吸收过程模型
霉酚酸(MPA)的药代动力学(PKs)表现出相当的复杂性和很大的变异性。我们建立了一个群体药代动力学(popPK)模型,通过检验吸收模型来预测MPA的复合药代动力学。本研究纳入了42例肾移植患者。采用非线性混合效应建模程序NONMEM进行了popPK分析,并结合了几种吸收模型。利用最终模型模拟0-12 h浓度-时间曲线下的MPA面积(AUC0-12),计算推荐剂量。MPA的PK用一个包含有滞后时间的序贯零阶和一阶吸收的双室模型得到了充分的描述。影响MPA PK的协变量包括总体重、肾功能(RF)和移植后天数(PTD)。模型最终估计的表观非肾清除率、表观肾清除率、表观中央分布容积、表观室间清除率、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。模拟结果显示,移植后早期推荐500 - 1000mg的剂量方案,每日两次。然而,随着PTD的增加和RF的减少,可能需要减少剂量。用吸收模型解释了MPA的络合PK。开发的popPK模型可以提供关于基于PTD和RF的个体给药方案的有用信息。
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来源期刊
Cts-Clinical and Translational Science
Cts-Clinical and Translational Science 医学-医学:研究与实验
CiteScore
6.70
自引率
2.60%
发文量
234
审稿时长
6-12 weeks
期刊介绍: Clinical and Translational Science (CTS), an official journal of the American Society for Clinical Pharmacology and Therapeutics, highlights original translational medicine research that helps bridge laboratory discoveries with the diagnosis and treatment of human disease. Translational medicine is a multi-faceted discipline with a focus on translational therapeutics. In a broad sense, translational medicine bridges across the discovery, development, regulation, and utilization spectrum. Research may appear as Full Articles, Brief Reports, Commentaries, Phase Forwards (clinical trials), Reviews, or Tutorials. CTS also includes invited didactic content that covers the connections between clinical pharmacology and translational medicine. Best-in-class methodologies and best practices are also welcomed as Tutorials. These additional features provide context for research articles and facilitate understanding for a wide array of individuals interested in clinical and translational science. CTS welcomes high quality, scientifically sound, original manuscripts focused on clinical pharmacology and translational science, including animal, in vitro, in silico, and clinical studies supporting the breadth of drug discovery, development, regulation and clinical use of both traditional drugs and innovative modalities.
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