Literature DB >> 17826864

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

Iftekhar Mahmood1.   

Abstract

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-in-human 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, camels, 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.

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Year:  2007        PMID: 17826864     DOI: 10.1016/j.addr.2007.05.015

Source DB:  PubMed          Journal:  Adv Drug Deliv Rev        ISSN: 0169-409X            Impact factor:   15.470


  36 in total

Review 1.  Applications of human pharmacokinetic prediction in first-in-human dose estimation.

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Review 2.  To scale or not to scale: the principles of dose extrapolation.

Authors:  Vijay Sharma; John H McNeill
Journal:  Br J Pharmacol       Date:  2009-06-05       Impact factor: 8.739

3.  Critical need for appropriate mucosal sample collection to determine relational animal pharmacokinetic-pharmacodynamic models in HIV prevention.

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4.  Prediction of Clearance and Volume of Distribution in the Obese from Normal Weight Subjects : An Allometric Approach.

Authors:  Iftekhar Mahmood
Journal:  Clin Pharmacokinet       Date:  2012-08       Impact factor: 6.447

Review 5.  Merging systems biology with pharmacodynamics.

Authors:  Ravi Iyengar; Shan Zhao; Seung-Wook Chung; Donald E Mager; James M Gallo
Journal:  Sci Transl Med       Date:  2012-03-21       Impact factor: 17.956

6.  Absolute bioavailability of cis-mirincamycin and trans-mirincamycin in healthy rhesus monkeys and ex vivo antimalarial activity against Plasmodium falciparum.

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Journal:  Antimicrob Agents Chemother       Date:  2011-09-26       Impact factor: 5.191

7.  Design and Characterization of a Novel Series of Geometrically Complex Intravaginal Rings with Digital Light Synthesis.

Authors:  Rima Janusziewicz; Sue J Mecham; Kevin R Olson; S Rahima Benhabbour
Journal:  Adv Mater Technol       Date:  2020-06-23

8.  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

9.  Pharmacokinetics and pharmacodynamics of ponesimod, a selective S1P1 receptor modulator, in the first-in-human study.

Authors:  Patrick Brossard; Hartmut Derendorf; Jian Xu; Haidar Maatouk; Atef Halabi; Jasper Dingemanse
Journal:  Br J Clin Pharmacol       Date:  2013-12       Impact factor: 4.335

10.  Liposomal fasudil, a rho-kinase inhibitor, for prolonged pulmonary preferential vasodilation in pulmonary arterial hypertension.

Authors:  Vivek Gupta; Nilesh Gupta; Imam H Shaik; Reza Mehvar; Ivan F McMurtry; Masahiko Oka; Eva Nozik-Grayck; Masanobu Komatsu; Fakhrul Ahsan
Journal:  J Control Release       Date:  2013-01-23       Impact factor: 9.776

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