Literature DB >> 9408857

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

V F Cosson1, E Fuseau, C Efthymiopoulos, A Bye.   

Abstract

Allometric scaling is an empirical examination of the relationships between the pharmacokinetic parameters and size (usually body weight), but it can also involve brain weight for metabolized drug. Through all species, the protein binding of sumatriptan is similar (14-16%), and its metabolic pathway undergoes extensive oxidative deamination involving the monoamine oxidase A isoenzyme. These similarities across species suggested the possible relevance of an allometric analysis. Toxicokinetic data were collected from rats, pregnant rabbits, and dogs in animal pharmacokinetic studies where sumatriptan was administered intravenously to the animals at doses of 5 mg/kg. 0.25 mg/kg, and 1 mg/kg, respectively. Animal data were pooled and analyzed in one step using a mixed effect modeling (population) approach. The kinetic parameters predicted in any species were close to the observed values by species: 77 L/hr vs. 80 L/hr in man for total clearance, 137 L vs. 119 L for distribution volume at steady state. The value of the mixed effect modeling approach compared to the two-step method was demonstrated especially with the possibility of including covariates to describe the status of animal (e.g., pregnancy) in the model. Knowledge of the animal kinetics, dynamics, and metabolism of a drug contributes to optimal and expeditious development. Valuable information for the design of the first-dose-in-man study may emerge from more creative data analysis based on all the information collected during the preclinical and ongoing nonclinical evaluation of a new drug.

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Year:  1997        PMID: 9408857     DOI: 10.1023/a:1025728028890

Source DB:  PubMed          Journal:  J Pharmacokinet Biopharm        ISSN: 0090-466X


  23 in total

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Journal:  Drug Metab Dispos       Date:  1993 Sep-Oct       Impact factor: 3.922

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  9 in total

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Authors:  T M Hu; W L Hayton
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Review 2.  Development of translational pharmacokinetic-pharmacodynamic models.

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Authors:  P J Williams; E I Ette
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4.  Interspecies scaling of receptor-mediated pharmacokinetics and pharmacodynamics of type I interferons.

Authors:  Leonid Kagan; Anson K Abraham; John M Harrold; Donald E Mager
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5.  Mixed effect modeling of sumatriptan pharmacokinetics during drug development: II. From healthy subjects to phase 2 dose ranging in patients.

Authors:  V F Cosson; E Fuseau
Journal:  J Pharmacokinet Biopharm       Date:  1999-04

6.  Interspecies modeling and prediction of human exenatide pharmacokinetics.

Authors:  Ting Chen; Donald E Mager; Leonid Kagan
Journal:  Pharm Res       Date:  2012-11-15       Impact factor: 4.200

7.  Non-linear mixed effects modeling of sparse concentration data from rats: application to a glycogen phosphorylase inhibitor.

Authors:  Steen H Ingwersen; Benedicte Kiehr; Lars Iversen; Michael P Andersen; Yvonne Petersen; Klaus A Rytved
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2002 Jul-Sep       Impact factor: 2.441

Review 8.  Scaling pharmacodynamics from in vitro and preclinical animal studies to humans.

Authors:  Donald E Mager; Sukyung Woo; William J Jusko
Journal:  Drug Metab Pharmacokinet       Date:  2009       Impact factor: 3.614

9.  Calculation of a First-In-Man Dose of 7-O-Succinyl Macrolactin A Based on Allometric Scaling of Data from Mice, Rats, and Dogs.

Authors:  Keumhan Noh; Ψ Wonku Kang
Journal:  Biomol Ther (Seoul)       Date:  2017-11-01       Impact factor: 4.634

  9 in total

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