The ChemScreen project to design a pragmatic alternative approach to predict reproductive toxicity of chemicals |
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Affiliation: | 1. BioDetection Systems BV, Amsterdam, The Netherlands;2. Danish Technical University, Lyngby, Denmark;3. University of Konstanz, Konstanz, Germany;4. Procter & Gamble, Brussels, Belgium;5. Fraunhofer-ITEM, Hannover, Germany;6. Simpple, Tarragona, Spain;7. University of Tübingen, Tübingen, Germany;8. National Institute for Public Health and the Environment, Bilthoven, The Netherlands;9. Utrecht University, Utrecht, The Netherlands;10. TNO, Zeist, The Netherlands;1. Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Argentina;2. Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Argentina;3. IQUIBICEN Institute, Consejo Nacional de Investigaciones Científicas, CONICET, Argentina;1. The Procter & Gamble Company, 1853 Strombeek-Bever, Belgium;2. The Procter & Gamble Company, Cincinnati, OH 45253, USA;1. School of Pharmacy and Chemistry, Liverpool John Moores University, Byrom Street, L3 3AF Liverpool, England, United Kingdom;2. The University of Tennessee, College of Veterinary Medicine, 2407 River Drive, Knoxville, TN 37996-4543, USA;3. Fraunhofer ITEM, Nikolai-Fuchs-Str. 1, 30625 Hannover, Germany |
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Abstract: | There is a great need for rapid testing strategies for reproductive toxicity testing, avoiding animal use. The EU Framework program 7 project ChemScreen aimed to fill this gap in a pragmatic manner preferably using validated existing tools and place them in an innovative alternative testing strategy. In our approach we combined knowledge on critical processes affected by reproductive toxicants with knowledge on the mechanistic basis of such effects. We used in silico methods for prescreening chemicals for relevant toxic effects aiming at reduced testing needs. For those chemicals that need testing we have set up an in vitro screening panel that includes mechanistic high throughput methods and lower throughput assays that measure more integrative endpoints. In silico pharmacokinetic modules were developed for rapid exposure predictions via diverse exposure routes. These modules to match in vitro and in vivo exposure levels greatly improved predictivity of the in vitro tests. As a further step, we have generated examples how to predict reproductive toxicity of chemicals using available data. We have executed formal validations of panel constituents and also used more innovative manners to validate the test panel using mechanistic approaches. We are actively engaged in promoting regulatory acceptance of the tools developed as an essential step towards practical application, including case studies for read-across purposes. With this approach, a significant saving in animal use and associated costs seems very feasible. |
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Keywords: | Integrated testing Read accross Reproductive toxicity Endocrine disruption |
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