Literature DB >> 7569672

Concomitant toxicokinetics: techniques for and interpretation of exposure data obtained during the conduct of toxicology studies.

A M Dahlem1, S R Allerheiligen, M J Vodicnik.   

Abstract

Toxicokinetic analyses have become a routine component of preclinical toxicology studies with pharmaceutical candidates. Evaluation of plasma and/or tissue samples from animals used in toxicology studies (or concurrent satellite groups) provides information on dose proportionality, the potential for dose accumulation, and the sex and species differences in distribution and elimination. Toxicokinetic information is used by toxicologists, toxicology management, clinicians, institutional review boards, regulatory agencies to ensure that exposure has occurred in animal species to a sufficient extent to minimize the potential risk of toxicities in humans. The requirements for descriptive toxicokinetics change depending on the stage of development of new drug candidates. Early in development, documentation of exposure in 1 species and sex of laboratory animal might be enough to justify preliminary development costs and initiation of product development. Later in development, it becomes necessary to know how new drug candidates are distributed and eliminated following subchronic and chronic administration in multiple species and both sexes. Finally, knowledge of toxicokinetics is used to help establish doses in long-term oncogenicity studies. Scientific, public, and regulatory pressures have recently dictated that the number of animals used in toxicology studies be closely monitored and minimized. Toxicokinetic evaluation of new drug candidates by a staggered sampling design is now routinely performed in our laboratories to maximize information obtained while reducing animal use.

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Year:  1995        PMID: 7569672     DOI: 10.1177/019262339502300211

Source DB:  PubMed          Journal:  Toxicol Pathol        ISSN: 0192-6233            Impact factor:   1.902


  3 in total

1.  A population approach to enzyme characterization and identification: application to phenacetin O-deethylation.

Authors:  D J Belle; B J Ring; S R Allerheiligen; M A Heathman; L M O'Brien; V Sinha; L K Roskos; S A Wrighton
Journal:  Pharm Res       Date:  2000-12       Impact factor: 4.200

2.  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

3.  The impact of composite AUC estimates on the prediction of systemic exposure in toxicology experiments.

Authors:  Tarjinder Sahota; Meindert Danhof; Oscar Della Pasqua
Journal:  J Pharmacokinet Pharmacodyn       Date:  2015-04-14       Impact factor: 2.745

  3 in total

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