Prediction of the pharmacokinetics and pharmacodynamics of topiroxostat in humans by integrating the physiologically based pharmacokinetic model with the drug-target residence time model

被引:17
作者
Luo, Zhiqiang [1 ,2 ]
Yu, Guohua [2 ]
Han, Xing [1 ]
Yang, Tingting [1 ]
Ji, Yanhua [1 ]
Huang, Huating [1 ]
Wang, Guopeng [3 ]
Liu, Yang [1 ]
Sun, Wenyan [1 ]
机构
[1] Beijing Univ Chinese Med, Sch Chinese Mat Med, Northeast Corner Intersect Yangguang South St, Beijing 102488, Peoples R China
[2] Beijing Univ Chinese Med, Sch Life Sci, Beijing 102488, Peoples R China
[3] Zhongcai Hlth Beijing Biol Technol Dev Co Ltd, Bldg 2,8,Xingsheng South Rd, Beijing 101500, Peoples R China
基金
中国国家自然科学基金;
关键词
Topiroxostat; PBPK model; Residence time; GastroPlus; Target occupancy; XANTHINE OXIDOREDUCTASE INHIBITOR; ABSORPTION; FEBUXOSTAT; FYX-051;
D O I
10.1016/j.biopha.2019.109660
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Topiroxostat is a selective xanthine oxidoreductase (XOR) inhibitor for the management of hyperuricemia in patients with or without gout. In this work, we aim to employ the physiologically based pharmacokinetic (PBPK) model with the drug-target residence time model to predict and characterize both the pharmacokinetics (PK) and pharmacodynamics (PD) of topiroxostat in humans. The plasma concentration-time profile of topiroxostat was simulated based on drug properties and human physiology parameters. The predictive power of this PBPK model was then demonstrated by comparison of stimulated to observed pharmacokinetic parameters. The utility of the model was further demonstrated through predicting the oral absorption and disposition characteristics of topiroxostat in humans. Finally, by combining the PBPK model and the drug-target residence time model, we successfully predicted the target occupancy and built the relationship between PK and PD using in vitro, in vivo and in silico information. The results showed that topiroxostat exhibited significant in vivo pharmacological activity even after the complete clearance of this drug from the liver (target site), which may be due to the long residence time of the binary topiroxostat-XOR complex. This work may be helpful to guide future investigations of topiroxostat and also provides a novel strategy for PK/PD studies.
引用
收藏
页数:7
相关论文
共 32 条
  • [1] The use of formulation technology to assess regional gastrointestinal drug absorption in humans
    Basit, AW
    Podczeck, F
    Newton, JM
    Waddington, WA
    Ell, PJ
    Lacey, LF
    [J]. EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2004, 21 (2-3) : 179 - 189
  • [2] Physiologically-Based Pharmacokinetic Models for CYP1A2 Drug-Drug Interaction Prediction: A Modeling Network of Fluvoxamine, Theophylline, Caffeine, Rifampicin, and Midazolam
    Britz, Hannah
    Hanke, Nina
    Volz, Anke-Katrin
    Spigset, Olav
    Schwab, Matthias
    Eissing, Thomas
    Wendl, Thomas
    Frechen, Sebastian
    Lehr, Thorsten
    [J]. CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY, 2019, 8 (05): : 296 - 307
  • [3] A physiologically-based model to predict individual pharmacokinetics and pharmacodynamics of remifentanil
    Cascone, Sara
    Lamberti, Gaetano
    Piazza, Ornella
    Abbiati, Roberto Andrea
    Manca, Davide
    [J]. EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2018, 111 : 20 - 28
  • [4] Development and application of a physiologically based pharmacokinetic model for HPPH in rats and extrapolate to humans
    Chen, Lin
    Zhang, Xian
    Cao, Qingqing
    Wu, Yanqing
    Zhang, Ting
    Tong, Huan
    Wang, Xin
    Yang, Jin
    [J]. EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2019, 129 : 68 - 78
  • [5] Opinion - Drug-target residence time and its implications for lead optimization
    Copeland, Robert A.
    Pompliano, David L.
    Meek, Thomas D.
    [J]. NATURE REVIEWS DRUG DISCOVERY, 2006, 5 (09) : 730 - 739
  • [6] The drug-target residence time model: a 10-year retrospective
    Copeland, Robert A.
    [J]. NATURE REVIEWS DRUG DISCOVERY, 2016, 15 (02) : 87 - 95
  • [7] Evaluation of the GastroPlus™ Advanced Compartmental and Transit (ACAT) Model in Early Discovery
    Gobeau, N.
    Stringer, R.
    De Buck, S.
    Tuntland, T.
    Faller, B.
    [J]. PHARMACEUTICAL RESEARCH, 2016, 33 (09) : 2126 - 2139
  • [8] Target site occupancy: Emerging generalizations from clinical and preclinical studies
    Grimwood, Sarah
    Hartig, Paul R.
    [J]. PHARMACOLOGY & THERAPEUTICS, 2009, 122 (03) : 281 - 301
  • [9] Guo D., 2019, TRENDS BIOCH SCI
  • [10] Forecasting oral absorption across biopharmaceutics classification system classes with physiologically based pharmacokinetic models
    Hansmann, Simone
    Darwich, Adam
    Margolskee, Alison
    Aarons, Leon
    Dressman, Jennifer
    [J]. JOURNAL OF PHARMACY AND PHARMACOLOGY, 2016, 68 (12) : 1501 - 1515