Application of allometric principles for the prediction of pharmacokinetics in human and veterinary drug development

被引:115
|
作者
Mahmood, Iftekhar [1 ]
机构
[1] US FDA, Ctr Biol Evaluat & Res, Off Blood Revie & Res, Rockville, MD 20857 USA
关键词
pharmacokinetic interspecies scaling; clearance; volume of distribution; elimination half-life; first-in-human dose; veterinary medicine; large animals;
D O I
10.1016/j.addr.2007.05.015
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
The concept of correlating pharmacokinetic parameters with body weight (termed as pharmacokinetic interspecies scaling) from different animal species has become a useful tool in drug development. Interspecies scaling is based on the power function, where the body weight of the species is plotted against the pharmacokinetic parameter of interest. Clearance, volume of distribution, and elimination half-life are the three most frequently extrapolated pharmacokinetic parameters. The predicted pharmacokinetic parameter clearance can be used for estimating a first-inhuman dose. Over the years, many approaches have been suggested to improve the prediction of aforementioned pharmacokinetic parameters in humans from animal data. A literature review indicates that there are different degrees of success with different methods for different drugs. Interspecies scaling is also a very useful tool in veterinary medicine. The knowledge of pharmacokinetics in veterinary medicine is important for dosage selection, particularly in the treatment of large animals such as horses, carrels, elephants, or other large zoo animals. Despite the potential for extrapolation error, the reality is that interspecies scaling is needed across many veterinary practice situations, and therefore will be used. For this reason, it is important to consider mechanisms for reducing the risk of extrapolation errors that can seriously affect animal safety and therapeutic response. Overall, although interspecies scaling requires continuous refinement and better understanding, the rationale approach of interspecies scaling has a lot of potential during the drug development process. Published by Elsevier B.V.
引用
收藏
页码:1177 / 1192
页数:16
相关论文
共 50 条
  • [31] Chimeric mice transplanted with human hepatocytes as a model for prediction of human drug metabolism and pharmacokinetics
    Sanoh, Seigo
    Ohta, Shigeru
    BIOPHARMACEUTICS & DRUG DISPOSITION, 2014, 35 (02) : 71 - 86
  • [32] Application of PK/PD Modeling in Veterinary Field: Dose Optimization and Drug Resistance Prediction
    Ahmad, Ijaz
    Huang, Lingli
    Hao, Haihong
    Sanders, Pascal
    Yuan, Zonghui
    BIOMED RESEARCH INTERNATIONAL, 2016, 2016
  • [33] Development of a Physiologically Based Pharmacokinetic Model for Itraconazole Pharmacokinetics and Drug-Drug Interaction Prediction
    Chen, Yuan
    Ma, Fang
    Lu, Tong
    Budha, Nageshwar
    Jin, Jin Yan
    Kenny, Jane R.
    Wong, Harvey
    Hop, Cornelis E. C. A.
    Mao, Jialin
    CLINICAL PHARMACOKINETICS, 2016, 55 (06) : 735 - 749
  • [34] GENERAL-PRINCIPLES OF PHARMACOKINETICS AND DRUG DISTRIBUTION
    HUG, CC
    ANAESTHESIA, 1981, 36 (05) : 547 - 547
  • [35] The application of organ-on-chip models for the prediction of human pharmacokinetic profiles during drug development
    Keuper-Navis, Marit
    Walles, Markus
    Poller, Birk
    Myszczyszyn, Adam
    van der Made, Thomas K.
    Donkers, Joanne
    Amirabadi, Hossein Eslami
    Wilmer, Martijn J.
    Aan, Saskia
    Spee, Bart
    Masereeuw, Rosalinde
    van de Steeg, Evita
    PHARMACOLOGICAL RESEARCH, 2023, 195
  • [36] Projecting human pharmacokinetics of monoclonal antibodies from nonclinical data: comparative evaluation of prediction approaches in early drug development
    Wang, Jing
    Iyer, Suhasini
    Fielder, Paul J.
    Davis, John D.
    Deng, Rong
    BIOPHARMACEUTICS & DRUG DISPOSITION, 2016, 37 (02) : 51 - 65
  • [37] Prediction of Human Pharmacokinetics of Antibody-Drug Conjugates From Nonclinical Data
    Li, Chunze
    Zhang, Cindy
    Deng, Rong
    Leipold, Douglas
    Li, Dongwei
    Latifi, Brandon
    Gao, Yuying
    Zhang, Crystal
    Li, Zao
    Miles, Dale
    Chen, Shang-Chiung
    Samineni, Divya
    Wang, Bei
    Agarwal, Priya
    Lu, Dan
    Prabhu, Saileta
    Girish, Sandhya
    Kamath, Amrita V.
    CTS-CLINICAL AND TRANSLATIONAL SCIENCE, 2019, 12 (05): : 534 - 544
  • [38] The application of allometric scaling principles to predict pharmacokinetic parameters across species
    Huang, Qingbiao
    Riviere, Jim E.
    EXPERT OPINION ON DRUG METABOLISM & TOXICOLOGY, 2014, 10 (09) : 1241 - 1253
  • [39] Accurate prediction of human drug toxicity: a major challenge in drug development
    Li, AP
    CHEMICO-BIOLOGICAL INTERACTIONS, 2004, 150 (01) : 3 - 7
  • [40] The application of human tissue for drug discovery and development
    Clotworthy, Margaret
    EXPERT OPINION ON DRUG DISCOVERY, 2012, 7 (07) : 543 - 547