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Evidence-based absorption, distribution, metabolism, excretion (ADME) and its interplay with alternative toxicity methods

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Katya Tsaioun 1, Bas J. Blaauboer 2 and Thomas Hartung 1,3
1 Johns Hopkins Bloomberg School of Public Health, Center for Alternatives to Animal Testing (CAAT), Baltimore, USA
2 Institute for Risk Assessment Sciences, Division of Toxicology, Utrecht University, Utrecht, The Netherlands
3 University of Konstanz, CAAT-Europe, Konstanz, Germany

Summary

ADME (absorption, distribution, metabolism, elimination) has rapidly evolved over the past two decades, creating a unique interdisciplinary interface between medicinal chemists, biologists, formulators, toxicologists, clinicians, and regulators across industries, but has advanced most rapidly in the pharmaceutical industry. The implementation of ADME profiling of drug candidates, in conjunction with biological efficacy and safety optimization, has dramatically reduced pharmacokinetic drug failures in clinical trials and has become a lingua franca between disciplines that are involved in drug development. This article briefly reviews the basics and current state-of-the-art of ADME and the major lessons from the pharmaceutical industry on its efficient use, points out the importance of defining ADME properties leading to toxicity across industries for safety and toxicity prediction of chemicals, and raises the issues of quality, reliability, and reproducibility of tests and inclusion of ADME under the umbrella of evidence-based toxicology. Increasingly, in vitro results are used to inform ADME assessments and computer modeling. The aspects of kinetics of substances in cellular models themselves, however, are still too often neglected. ADME information will play a critical role in establishing quantitative in vitro to in vivo extrapolations (QIVIVE), integrated testing strategies, and systems toxicology approaches.

 

Keywords: ADME, pharmacokinetics (PK), physiologically-based pharmacokinetic (PBPK) model, systems toxicology, evidence-based toxicology

 


ALTEX 33(4), 2016: 343-358

doi: 10.14573/altex.1610101



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