Assessment and Confirmation of Species Difference in Nonlinear Pharmacokinetics of Atipamezole with Physiologically Based Pharmacokinetic Modeling

被引:9
|
作者
Li, Zheng [1 ]
Gao, You [1 ]
Yang, Chunmiao [1 ]
Xiang, Yanan [1 ]
Zhang, Wenpeng [1 ]
Zhang, Tianhong [1 ]
Su, Ruibin [1 ]
Lu, Chuang [2 ]
Zhuang, Xiaomei [1 ]
机构
[1] Beijing Inst Pharmacol & Toxicol, State Key Lab Toxicol & Med Countermeasures, Beijing 100850, Peoples R China
[2] Sanofi Co, Dept DMPK, Waltham, MA USA
关键词
ALPHA(2)-ADRENOCEPTOR ANTAGONIST; IN-VITRO; N-GLUCURONIDATION; PREDICTION; KINETICS; MEDETOMIDINE; METABOLISM; ABSORPTION; SIMULATION; CLEARANCE;
D O I
10.1124/dmd.119.089151
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Atipamezole, an alpha(2)-adrenoceptor antagonist, displayed nonlinear pharmacokinetics (PK) in rats. The aim of this study was to understand the underlying mechanisms of nonlinear PK in rats and linear PK in humans and develop physiologically based PK models (PBPK) to capture and validate this phenomenon. In vitro and in vivo data were generated to show that metabolism is the main clearance pathway of atipamezole and species differences exist. Where cytochrome P450 (P450) was responsible for the metabolism in rats with a low Michaelis constant, human-specific UDP-glucuronosyltransferase 2B10- and 1A4-mediated N-glucuronidation was identified as the leading contributor to metabolism in humans with a high V-max capacity. Saturation of metabolism was observed in rats at pharmacologically relevant doses, but not in humans at clinically relevant doses. PBPK models were developed using GastroPlus software to predict the PK profile of atipamezole in rats after intravenous or intramuscular administration of 0.1 to 3 mg/kg doses. The model predicted the nonlinear PK of atipamezole in rats and predicted observed exposures within 2-fold across dose levels. Under the same model structure, a human PBPK model was developed using human in vitro metabolism data. The PBPK model well described human concentration-time profiles at 10-100 mg doses showing dose-proportional increases in exposure. This study demonstrated that PBPK is a useful tool to predict human PK when interspecies extrapolation is not applicable. The nonlinear PK in rat and linear PK in human were characterized in vitro and allowed the prospective human PK via intramuscular dosing to be predicted at the preclinical stage. SIGNIFICANCE STATEMENT This study demonstrated that PBPK is a useful tool for predicting human PK when interspecies extrapolation is not applicable due to species unique metabolism. Atipamezole, for example, is metabolized by P450 in rats and by N-glucuronidation in humans that were hypothesized to be the underlying reasons for a nonlinear PK in rats and linear PK in humans. This was testified by PBPK simulation in this study.
引用
收藏
页码:41 / 51
页数:11
相关论文
共 50 条
  • [1] Use of physiologically based pharmacokinetic modeling for assessment of drug-drug interactions
    Baneyx, Guillaume
    Fukushima, Yumi
    Parrott, Neil
    FUTURE MEDICINAL CHEMISTRY, 2012, 4 (05) : 681 - 693
  • [2] Physiologically Based Pharmacokinetic Modeling of Bosentan Identifies the Saturable Hepatic Uptake As a Major Contributor to Its Nonlinear Pharmacokinetics
    Sato, Masanobu
    Toshimoto, Kota
    Tomaru, Atsuko
    Yoshikado, Takashi
    Tanaka, Yuta
    Hisaka, Akihiro
    Lee, Wooin
    Sugiyama, Yuichi
    DRUG METABOLISM AND DISPOSITION, 2018, 46 (05) : 740 - 748
  • [3] Physiologically Based Pharmacokinetic Modeling to Supplement Nilotinib Pharmacokinetics and Confirm Dose Selection in Pediatric Patients
    Heimbach, Tycho
    Lin, Wen
    Hourcade-Potelleret, Florence
    Tian, Xianbin
    Combes, Francois Pierre
    Horvath, Nicholas
    He, Handan
    JOURNAL OF PHARMACEUTICAL SCIENCES, 2019, 108 (06) : 2191 - 2198
  • [4] Physiologically Based Pharmacokinetic Modeling of Extracellular Vesicles
    Kumar, Prashant
    Mehta, Darshan
    Bissler, John J.
    BIOLOGY-BASEL, 2023, 12 (09):
  • [5] Physiologically Based Pharmacokinetic (PBPK) Modeling in Children
    Barrett, J. S.
    Alberighi, O. Della Casa
    Laeer, S.
    Meibohm, B.
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2012, 92 (01) : 40 - 49
  • [6] Application of Physiologically Based Pharmacokinetic Modeling to Predict Pharmacokinetics in Healthy Japanese Subjects
    Matsumoto, Yuki
    Cabalu, Tamara
    Sandhu, Punam
    Hartmann, Georgy
    Iwasa, Takashi
    Yoshitsugu, Hiroyuki
    Gibson, Christopher
    Uemura, Naoto
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2019, 105 (04) : 1018 - 1030
  • [7] Advances in Physiologically Based Pharmacokinetic (PBPK) Modeling of Nanomaterials
    Ozbek, Ozlem
    Genc, Destina Ekingen
    Ulgen, Kutlu O.
    ACS PHARMACOLOGY & TRANSLATIONAL SCIENCE, 2024, 7 (08) : 2251 - 2279
  • [8] Evaluation of the Impacts of Formulation Parameters on the Pharmacokinetics and Bioequivalence of Risperidone Orodispersible Film: a Physiologically Based Pharmacokinetic Modeling Approach
    Chen, Fang
    Liu, Hongrui
    Wang, Bing
    Yang, Zhou
    Chen, Yusheng
    Yang, Liuliu
    Jiao, Zheng
    Lin, Hai-Shu
    Quan, Yingjun
    Wang, Hao
    Xiang, Xiaoqiang
    AAPS PHARMSCITECH, 2020, 21 (07)
  • [9] Application of Physiologically Based Pharmacokinetic Modeling to Understanding the Clinical Pharmacokinetics of UK-369,003
    Watson, Kenny J.
    Davis, John
    Jones, Hannah M.
    DRUG METABOLISM AND DISPOSITION, 2011, 39 (07) : 1203 - 1213
  • [10] Physiologically Based Pharmacokinetic Modeling in Pediatric Oncology Drug Development
    Rioux, Nathalie
    Waters, Nigel J.
    DRUG METABOLISM AND DISPOSITION, 2016, 44 (07) : 934 - 943