Literature DB >> 2275215

Interspecies scaling and comparisons in drug development and toxicokinetics.

R M Ings1.   

Abstract

1. Methods of interspecies extrapolation using physiological models and allometric scaling have been reviewed with their possible application to drug development, both for candidate drug selection and the interpretation of toxicokinetic data. 2. Physiological models offer a mechanistic approach to extrapolation from one species to another, examining individual components which interrelate to produce the characteristics of the whole system. Tissues of interest are arranged in anatomical order based on blood circulation, and the disposition of a drug can be simulated with knowledge of tissue size (volume), tissue perfusion (blood flow), drug permeability, binding of the drug between the tissue and blood (partition), as well as elimination. Using this approach the behaviour of the drug under different conditions, such as dose route, disease state or animal species, can be predicted. 3. The alternative approach of allometric scaling is an empirical examination of relationships between size, time and its consequences. A regression of the logarithm of the pharmacokinetic parameter and the logarithm of the body weight of the animal species produces a linear relationship which enables the value of pharmacokinetic parameters in any animal species to be calculated from the product of an allometric coefficient and the body weight to a power function. 4. Whilst this technique gives acceptable predictions for the pharmacokinetics of those drugs eliminated renally, or which are blood flow-dependent, there is poor prediction for humans for low clearance drugs primarily eliminated by the mixed-function oxidase system. This appears to be a result of differences in maturation, and can be corrected for by including a brain weight or maximum life-span potential term into the allometric equation. 5. Of the two approaches described for extrapolation of pharmacokinetics between animal species, physiological models tend to be resource-demanding and costly, with more frequent failures, but can be invaluable for examining target organ exposure and for the targeting of drugs as in cancer chemotherapy. For routine drug development, however, allometric scaling is potentially more useful since it uses data which are routinely obtained and the calculations are relatively simple. 6. The problems of intraspecies scaling from high-dose data to low-dose predictions are discussed with respect to current models of dose levels. A new approach is proposed using a modified Hill equation based on drug exposure, which should allow for a more meaningful determination of the toxicity of a compound with different drug exposures.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1990        PMID: 2275215     DOI: 10.3109/00498259009046839

Source DB:  PubMed          Journal:  Xenobiotica        ISSN: 0049-8254            Impact factor:   1.908


  23 in total

Review 1.  Prediction of hepatic metabolic clearance based on interspecies allometric scaling techniques and in vitro-in vivo correlations.

Authors:  T Lavé; P Coassolo; B Reigner
Journal:  Clin Pharmacokinet       Date:  1999-03       Impact factor: 6.447

Review 2.  Whole body pharmacokinetic models.

Authors:  Ivan Nestorov
Journal:  Clin Pharmacokinet       Date:  2003       Impact factor: 6.447

3.  Mixed effect modeling of sumatriptan pharmacokinetics during drug development. I: Interspecies allometric scaling.

Authors:  V F Cosson; E Fuseau; C Efthymiopoulos; A Bye
Journal:  J Pharmacokinet Biopharm       Date:  1997-04

Review 4.  Perspectives in pharmacokinetics. Physiologically based pharmacokinetic modeling as a tool for drug development.

Authors:  S B Charnick; R Kawai; J R Nedelman; M Lemaire; W Niederberger; H Sato
Journal:  J Pharmacokinet Biopharm       Date:  1995-04

5.  Challenges and Opportunities for Translation of Therapies to Improve Cognition in Down Syndrome.

Authors:  Sarah E Lee; Monica Duran-Martinez; Sabina Khantsis; Diana W Bianchi; Faycal Guedj
Journal:  Trends Mol Med       Date:  2019-11-07       Impact factor: 11.951

6.  Prediction of a potentially effective dose in humans for BAY 60-5521, a potent inhibitor of cholesteryl ester transfer protein (CETP) by allometric species scaling and combined pharmacodynamic and physiologically-based pharmacokinetic modelling.

Authors:  Olaf Weber; Stefan Willmann; Hilmar Bischoff; Volkhart Li; Alexandros Vakalopoulos; Klemens Lustig; Frank-Thorsten Hafner; Roland Heinig; Carsten Schmeck; Klaus Buehner
Journal:  Br J Clin Pharmacol       Date:  2012-02       Impact factor: 4.335

7.  The pharmacokinetics and metabolism of SC-53228, a specific leukotriene B4 receptor antagonist.

Authors:  S Paulson; Y Readus; S Bulik; G Schoenhard; J Stolzenbach; D Fretland
Journal:  Inflamm Res       Date:  1995-08       Impact factor: 4.575

8.  Design and characterization of MP0250, a tri-specific anti-HGF/anti-VEGF DARPin® drug candidate.

Authors:  H Kaspar Binz; Talitha R Bakker; Douglas J Phillips; Andreas Cornelius; Christof Zitt; Thomas Göttler; Gabriel Sigrist; Ulrike Fiedler; Savira Ekawardhani; Ignacio Dolado; Johan Abram Saliba; Gaby Tresch; Karl Proba; Michael T Stumpp
Journal:  MAbs       Date:  2017 Nov/Dec       Impact factor: 5.857

9.  Interspecies allometric scaling of antimalarial drugs and potential application to pediatric dosing.

Authors:  S M D K Ganga Senarathna; Kevin T Batty
Journal:  Antimicrob Agents Chemother       Date:  2014-08-04       Impact factor: 5.191

10.  Preclinical pharmacokinetics and interspecies scaling of ragaglitazar, a novel biliary excreted PPAR dual activator.

Authors:  Venkata V Pavankuamr; C A Vinu; Ramesh Mullangi; Nuggehally R Srinivas
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2007 Jan-Mar       Impact factor: 2.441

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