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Consensus statement on the need for innovation, transition and implementation of developmental neurotoxicity (DNT) testing for regulatory purposes.
Fritsche, Ellen; Grandjean, Philippe; Crofton, Kevin M; Aschner, Michael; Goldberg, Alan; Heinonen, Tuula; Hessel, Ellen V S; Hogberg, Helena; Bennekou, Susanne Hougaard; Lein, Pamela J; Leist, Marcel; Mundy, William R; Paparella, Martin; Piersma, Aldert H; Sachana, Magdalini; Schmuck, Gabriele; Solecki, Roland; Terron, Andrea; Monnet-Tschudi, Florianne; Wilks, Martin F; Witters, Hilda; Zurich, Marie-Gabrielle; Bal-Price, Anna
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Series / Report no.
Open Access
Type
Article
Language
en
Date
2018-02-12
Research Projects
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Journal Issue
Title
Consensus statement on the need for innovation, transition and implementation of developmental neurotoxicity (DNT) testing for regulatory purposes.
Translated Title
Published in
Toxicol Appl Pharmacol 2018; advance online publication (ahead of print)
Abstract
This consensus statement voices the agreement of scientific stakeholders from regulatory agencies, academia and industry that a new framework needs adopting for assessment of chemicals with the potential to disrupt brain development. An increased prevalence of neurodevelopmental disorders in children has been observed that cannot solely be explained by genetics and recently pre- and postnatal exposure to environmental chemicals has been suspected as a causal factor. There is only very limited information on neurodevelopmental toxicity, leaving thousands of chemicals, that are present in the environment, with high uncertainty concerning their developmental neurotoxicity (DNT) potential. Closing this data gap with the current test guideline approach is not feasible, because the in vivo bioassays are far too resource-intensive concerning time, money and number of animals. A variety of in vitro methods are now available, that have the potential to close this data gap by permitting mode-of-action-based DNT testing employing human stem cells-derived neuronal/glial models. In vitro DNT data together with in silico approaches will in the future allow development of predictive models for DNT effects. The ultimate application goals of these new approach methods for DNT testing are their usage for different regulatory purposes.