Literature DB >> 7791515

A new extrapolation method from animals to man: application to a metabolized compound, mofarotene.

T Lave1, A H Schmitt-Hoffmann, P Coassolo, B Valles, G Ubeaud, B Ba, R Brandt, R C Chou.   

Abstract

Allometric scaling (a technique which uses data obtained in laboratory animals to predict human pharmacokinetics) works well for drugs that are cleared intact, but is less successful with extensively metabolised compounds. This paper describes a new method to improve the accuracy of such projections, by integrating metabolic data obtained in vitro (e.g. with liver microsomes or hepatocytes) into these calculations. The approach was used prospectively, to predict the clearance of mofarotene (Ro 40-8757) in humans from in vivo kinetic data obtained in mouse, rat and dog. This compound was selected to illustrate this approach because it is exclusively eliminated through metabolism. Without the metabolic correction or using empirical correcting factors, the values predicted for man were 2.7 and 0.6 ml/min/kg. This fell outside the range subsequently obtained in healthy volunteers dosed orally with 300 mg of mofarotene (7.5 +/- 4.0 ml/min/kg, n = 12). However, inclusion of the microsomal or hepatocyte data gave values of 5.1 and 4.2 ml/min/kg, respectively, illustrating that the integration of in vitro metabolic data improves the accuracy of kinetic extrapolations. In contrast to the existing empirical techniques, this approach offers a rational basis to predict clearance of metabolized compounds in human.

Entities:  

Mesh:

Substances:

Year:  1995        PMID: 7791515     DOI: 10.1016/0024-3205(95)00234-w

Source DB:  PubMed          Journal:  Life Sci        ISSN: 0024-3205            Impact factor:   5.037


  10 in total

Review 1.  Common errors of drug administration in infants: causes and avoidance.

Authors:  B J Anderson; J F Ellis
Journal:  Paediatr Drugs       Date:  1999 Apr-Jun       Impact factor: 3.022

Review 2.  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

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

4.  A size standard for pharmacokinetics.

Authors:  N H Holford
Journal:  Clin Pharmacokinet       Date:  1996-05       Impact factor: 6.447

Review 5.  Size, myths and the clinical pharmacokinetics of analgesia in paediatric patients.

Authors:  B J Anderson; A D McKee; N H Holford
Journal:  Clin Pharmacokinet       Date:  1997-11       Impact factor: 6.447

6.  Risk assessment in extrapolation of pharmacokinetics from preclinical data to humans.

Authors:  Zvi Teitelbaum; Thierry Lave; Jan Freijer; Adam F Cohen
Journal:  Clin Pharmacokinet       Date:  2010-09       Impact factor: 6.447

7.  Interspecies scaling of bosentan, a new endothelin receptor antagonist and integration of in vitro data into allometric scaling.

Authors:  T Lave; P Coassolo; G Ubeaud; R Brandt; C Schmitt; S Dupin; D Jaeck; R C Chou
Journal:  Pharm Res       Date:  1996-01       Impact factor: 4.200

8.  Projection of exposure and efficacious dose prior to first-in-human studies: how successful have we been?

Authors:  Christine Huang; Ming Zheng; Zheng Yang; A David Rodrigues; Punit Marathe
Journal:  Pharm Res       Date:  2007-09-25       Impact factor: 4.200

Review 9.  Clinical pharmacology: special safety considerations in drug development and pharmacovigilance.

Authors:  Kwame N Atuah; Dyfrig Hughes; Munir Pirmohamed
Journal:  Drug Saf       Date:  2004       Impact factor: 5.606

10.  Comparison of the stability of some major cytochrome P450 and conjugation reactions in rat, dog and human hepatocyte monolayers.

Authors:  G Ubeaud; C D Schiller; F Hurbin; D Jaeck; P Coassolo
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2001 Jan-Jun       Impact factor: 2.569

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.