Literature DB >> 23439429

The OSIRIS Weight of Evidence approach: ITS for the endpoints repeated-dose toxicity (RepDose ITS).

Inga Tluczkiewicz1, Monika Batke, Dinant Kroese, Harrie Buist, Tom Aldenberg, Eduard Pauné, Helvi Grimm, Ralph Kühne, Gerrit Schüürmann, Inge Mangelsdorf, Sylvia E Escher.   

Abstract

In the FP6 European project OSIRIS, Integrated Testing Strategies (ITSs) for relevant toxicological endpoints were developed to avoid new animal testing and thus to reduce time and costs. The present paper describes the development of an ITS for repeated-dose toxicity called RepDose ITS which evaluates the conditions under which in vivo non-guideline studies are reliable. In a tiered approach three aspects of these "non-guideline" studies are assessed: the documentation of the study (reliability), the quality of the study design (adequacy) and the scope of examination (validity). The reliability is addressed by the method "Knock-out criteria", which consists of four essential criteria for repeated-dose toxicity studies. A second tool, termed QUANTOS (Quality Assessment of Non-guideline Toxicity Studies), evaluates and weights the adequacy of the study by using intra-criterion and inter-criteria weighting. Finally, the Coverage approach calculates a probability that the detected Lowest-Observed-Effect-Level (LOEL) is similar to the LOEL of a guideline study dependent on the examined targets and organs of the non-guideline study. If the validity and adequacy of the non-guideline study are insufficient for risk assessment, the ITS proposes to apply category approach or the Threshold of Toxicological Concern (TTC) concept, and only as a last resort new animal-testing.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Keywords:  3R principle; Alternative; ITS; Integrated Testing Strategy; Non-testing method; OSIRIS; Repeated-dose; Risk Assessment; TTC; Weighting

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Year:  2013        PMID: 23439429     DOI: 10.1016/j.yrtph.2013.02.004

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  1 in total

1.  The eTOX data-sharing project to advance in silico drug-induced toxicity prediction.

Authors:  Montserrat Cases; Katharine Briggs; Thomas Steger-Hartmann; François Pognan; Philippe Marc; Thomas Kleinöder; Christof H Schwab; Manuel Pastor; Jörg Wichard; Ferran Sanz
Journal:  Int J Mol Sci       Date:  2014-11-14       Impact factor: 5.923

  1 in total

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