Consensus report on the future of animal-free systemic toxicity testing

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Marcel Leist , Nina Hasiwa, Costanza Rovida, Mardas Daneshian, David Basketter, Ian Kimber, Harvey Clewell, Tilman Gocht, Alan Goldberg, Francois Busquet, Anna-Maria Rossi, Michael Schwarz, Martin Stephens, Rob Taalman, Thomas B. Knudsen, James McKim, Georgina Harris, David Pamies, Thomas Hartung
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Since March 2013, animal use for cosmetics testing for the European market has been banned. This requires a renewed view on risk assessment in this field. However, in other fields as well, traditional animal experimentation does not always satisfy require­ments in safety testing, as the need for human-relevant information is ever increasing. A general strategy for animal-free test approaches was outlined by the US National Research Council’s vision document for Toxicity Testing in the 21st Century in 2007. It is now possible to provide a more defined roadmap on how to implement this vision for the four principal areas of systemic toxicity evaluation: repeat dose organ toxicity, carcinogenicity, reproductive toxicity and allergy induction (skin sensitization), as well as for the evaluation of toxicant metabolism (toxicokinetics) (Fig. 1). CAAT-Europe assembled experts from Europe, America and Asia to design a scientific roadmap for future risk assessment approaches and the outcome was then further discussed and refined in two consensus meetings with over 200 stakeholders. The key recommendations include: focusing on improving existing methods rather than favoring de novo design; combining hazard testing with toxicokinetics predictions; developing integrated test strategies; incorporating new high content endpoints to classical assays; evolving test validation procedures; promoting collaboration and data-sharing of different industrial sectors; integrating new disciplines, such as systems biology and high throughput screening; and involving regulators early on in the test development process. A focus on data quality, combined with increased attention to the scientific background of a test method, will be important drivers. Information from each test system should be mapped along adverse outcome pathways. Finally, quantitative information on all factors and key events will be fed into systems biology models that allow a probabilistic risk assessment with flexible adaptation to exposure scenarios and individual risk factors.

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Leist, M. (2014) “Consensus report on the future of animal-free systemic toxicity testing”, ALTEX - Alternatives to animal experimentation, 31(3), pp. 341–356. doi: 10.14573/altex.1406091.

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