Literature DB >> 17559315

Proposed integrated decision-tree testing strategies for mutagenicity and carcinogenicity in relation to the EU REACH legislation.

Robert Combes1, Christina Grindon, Mark T D Cronin, David W Roberts, John Garrod.   

Abstract

Liverpool John Moores University and FRAME recently conducted a research project sponsored by Defra, on the status of alternatives to animal testing with regard to the European Union REACH (Registration, Evaluation and Authorisation of Chemicals) system for the safety testing and risk assessment of chemicals. The project covered all the main toxicity endpoints associated with the REACH system. This paper focuses on the prospects for using alternative methods (both in vitro and in silico) for mutagenicity (genotoxicity) and carcinogenicity testing - two toxicity endpoints, which, together with reproductive toxicity, are of pivotal importance for the REACH system. The manuscript critically discusses well-established testing approaches, and in particular, the requirement for short-term in vivo tests for confirming positive mutagenicity, and the need for the rodent bioassay for detecting non-genotoxic carcinogens. Recently-proposed testing strategies focusing on non-animal approaches are also considered, and our own testing scheme is presented and supported with background information. This scheme makes maximum use of pre-existing data, computer (in silico) and in vitro methods, with weight-of-evidence assessments at each major stage. The need for the improvement of in vitro methods, to reduce the generation of false-positive results, is also discussed. Lastly, ways in which reduction and refinement measures can be used are also considered, and some recommendations are made for future research to facilitate the implementation of the proposed testing scheme.

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Year:  2007        PMID: 17559315     DOI: 10.1177/026119290703500201

Source DB:  PubMed          Journal:  Altern Lab Anim        ISSN: 0261-1929            Impact factor:   1.303


  4 in total

1.  Quantitative and qualitative models for carcinogenicity prediction for non-congeneric chemicals using CP ANN method for regulatory uses.

Authors:  Natalja Fjodorova; Marjan Vračko; Marjan Tušar; Aneta Jezierska; Marjana Novič; Ralph Kühne; Gerrit Schüürmann
Journal:  Mol Divers       Date:  2009-08-15       Impact factor: 2.943

Review 2.  Antimutagenic compounds and their possible mechanisms of action.

Authors:  Karolina Słoczyńska; Beata Powroźnik; Elżbieta Pękala; Anna M Waszkielewicz
Journal:  J Appl Genet       Date:  2014-03-11       Impact factor: 3.240

Review 3.  The use of integrated and intelligent testing strategies in the prediction of toxic hazard and in risk assessment.

Authors:  Michael Balls; Robert D Combes; Nirmala Bhogal
Journal:  Adv Exp Med Biol       Date:  2012       Impact factor: 2.622

4.  The transformics assay: first steps for the development of an integrated approach to investigate the malignant cell transformation in vitro.

Authors:  Maria Grazia Mascolo; Stefania Perdichizzi; Monica Vaccari; Francesca Rotondo; Cristina Zanzi; Sandro Grilli; Martin Paparella; Miriam N Jacobs; Annamaria Colacci
Journal:  Carcinogenesis       Date:  2018-07-03       Impact factor: 4.944

  4 in total

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