Have physiologically-based pharmacokinetic models delivered?

被引:9
|
作者
Edginton, Andrea N. [1 ]
Joshi, Ghanashyam [1 ]
机构
[1] Univ Waterloo, Sch Pharm, Waterloo, ON N2L 3G1, Canada
关键词
drug development; human health risk assessment; pharmacokinetics; physiologically-based pharmacokinetic model; DRUG DEVELOPMENT; RISK-ASSESSMENT; SIMULATION; PREDICTION; DISCOVERY;
D O I
10.1517/17425255.2011.585968
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The application of in silico methods for predicting internal dosimetry of a compound has gained attention in the past few years from academia, government and industry. One such method based on both compound- and organism-specific information is physiologically-based pharmacokinetic (PBPK) modeling. Numerous promises surrounding the potential of PBPK models to guide drug development (DD) and human health risk assessment (HHRA) have been made with primary areas of application being incorporation of in vitro data for pharmacokinetic prediction in early drug development, interspecies scaling, intra-human scaling and, of special interest, prediction of drug--drug interaction potential. This article addresses the question ''Have physiologically-based pharmacokinetic models delivered?' through analysis of its promises and accomplishments in real-world situations. Progress on PBPK model use in DD and HHRA has been demonstrated, especially in the area of interspecies and adult-to-children scaling, although its actual application is not reflected in the number of published works. Future advances will depend on continued model development as well as integration of PBPK models with models of response and/or disease. More importantly, increased training along with managerial and regulatory support is imperative to the continued integration of PBPK modeling in both HHRA and DD.</.
引用
收藏
页码:929 / 934
页数:6
相关论文
共 50 条
  • [1] An introduction to physiologically-based pharmacokinetic models
    Upton, Richard N.
    Foster, David J. R.
    Abuhelwa, Ahmad Y.
    PEDIATRIC ANESTHESIA, 2016, 26 (11) : 1036 - 1046
  • [2] Examination of Physiologically-Based Pharmacokinetic Models of Rosuvastatin
    Bowman, Christine M.
    Ma, Fang
    Mao, Jialin
    Chen, Yuan
    CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY, 2021, 10 (01): : 5 - 17
  • [3] Applications of minimal physiologically-based pharmacokinetic models
    Yanguang Cao
    William J. Jusko
    Journal of Pharmacokinetics and Pharmacodynamics, 2012, 39 : 711 - 723
  • [4] Applications of minimal physiologically-based pharmacokinetic models
    Cao, Yanguang
    Jusko, William J.
    JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS, 2012, 39 (06) : 711 - 723
  • [5] PHYSIOLOGICALLY-BASED PHARMACOKINETIC MODELS IN DEVELOPMENTAL TOXICOLOGY
    FLAHERTY, EJ
    RISK ANALYSIS, 1994, 14 (04) : 605 - 611
  • [7] An Overview of Physiologically-Based Pharmacokinetic Models for Forensic Science
    Fairman, Kiara
    Choi, Me-Kyoung
    Gonnabathula, Pavani
    Lumen, Annie
    Worth, Andrew
    Paini, Alicia
    Li, Miao
    TOXICS, 2023, 11 (02)
  • [8] Investigation of simplified physiologically-based pharmacokinetic models in rat and human
    Yau, Estelle
    Olivares-Morales, Andres
    Ogungbenro, Kayode
    Aarons, Leon
    Gertz, Michael
    CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY, 2023, 12 (03): : 333 - 345
  • [9] Physiologically-based pharmacokinetic and toxicokinetic models in cancer risk assessment
    Krishnan, K
    Johanson, G
    JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH PART C-ENVIRONMENTAL CARCINOGENESIS & ECOTOXICOLOGY REVIEWS, 2005, 23 (01): : 31 - 53
  • [10] Adapting physiologically-based pharmacokinetic models for machine learning applications
    Sohaib Habiballah
    Brad Reisfeld
    Scientific Reports, 13