Literature DB >> 20127826

Theoretical versus empirical allometry: Facts behind theories and application to pharmacokinetics.

Iftekhar Mahmood1.   

Abstract

Although, no credible data are available, it is widely believed that the pharmacokinetic parameters such as clearance, volume of distribution, and elimination half-life can be scaled with a fixed exponent of 0.75, 1.0, and 0.25, respectively. However, logically it is difficult to perceive that the exponents of allometry for a given parameter will revolve around a fixed number. Over the last 80 years, theoretical biologists and physiologists are entangled in an argument whether the exponent of basal metabolic rate against body weight is 0.67 or 0.75. There are evidence for and against these two exponents. However, in-depth investigative works suggest that there is not really any universal exponent for any allometrically related parameter and the exponent of allometry depends on several factors. The main focus of this report is to show the readers that there is enough evidence from experimental data that negate the notion of fixed exponents in biology, physiology, and pharmacokinetics. In short, the notion of a fixed exponent is theoretical and there is no evidence that the exponent of a physiological or pharmacokinetic parameter revolves around a fixed number. (c) 2010 Wiley-Liss, Inc. and the American Pharmacists Association

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Year:  2010        PMID: 20127826     DOI: 10.1002/jps.22073

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  25 in total

1.  Allometric or lean body mass scaling of propofol pharmacokinetics: towards simplifying parameter sets for target-controlled infusions.

Authors:  Johan Francois Coetzee
Journal:  Clin Pharmacokinet       Date:  2012-03-01       Impact factor: 6.447

2.  Population Pharmacokinetics and Safety of Piperacillin-Tazobactam Extended Infusions in Infants and Children.

Authors:  Céline Thibault; Jean Lavigne; Catherine Litalien; Nastya Kassir; Yves Théorêt; Julie Autmizguine
Journal:  Antimicrob Agents Chemother       Date:  2019-10-22       Impact factor: 5.191

3.  Population Pharmacokinetics: Some Observations in Pediatric Modeling for Drug Clearance.

Authors:  Iftekhar Mahmood; Million A Tegenge
Journal:  Clin Pharmacokinet       Date:  2017-12       Impact factor: 6.447

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.  Optimizing drug development of anti-cancer drugs in children using modelling and simulation.

Authors:  Johan G C van Hasselt; Natasha K A van Eijkelenburg; Jos H Beijnen; Jan H M Schellens; Alwin D R Huitema
Journal:  Br J Clin Pharmacol       Date:  2013-07       Impact factor: 4.335

6.  Prediction of drug clearance in children: an evaluation of the predictive performance of several models.

Authors:  Iftekhar Mahmood; Carl-Michael Staschen; Kosalaram Goteti
Journal:  AAPS J       Date:  2014-10-02       Impact factor: 4.009

7.  Prediction of Clearance, Volume of distribution, and Half-life of Drugs in Extremely Low to Low Birth Weight Neonates: An Allometric Approach.

Authors:  Iftekhar Mahmood
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2017-08       Impact factor: 2.441

8.  Dried blood spots and sparse sampling: a practical approach to estimating pharmacokinetic parameters of caffeine in preterm infants.

Authors:  Parul Patel; Hussain Mulla; Venkatesh Kairamkonda; Neil Spooner; Sonya Gade; Oscar Della Pasqua; David J Field; Hitesh C Pandya
Journal:  Br J Clin Pharmacol       Date:  2013-03       Impact factor: 4.335

9.  Scaling adult doses of antifungal and antibacterial agents to children.

Authors:  Thomas H Dawson
Journal:  Antimicrob Agents Chemother       Date:  2012-03-26       Impact factor: 5.191

10.  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

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