Literature DB >> 30098372

One science-driven approach for the regulatory implementation of alternative methods: A multi-sector perspective.

Gianni Dal Negro1, Chantra Eskes2, Susanne Belz3, Caroline Bertein4, Magda Chlebus5, Marco Corvaro6, Raffaella Corvi3, Stephane Dhalluin7, Marlies Halder3, Jim Harvey1, Martina Hermann8, Simone Hoffmann-Dörr8, Karin Kilian9, Denis Lambrigts10, Charles Laroche11, Susanna Louhimies9, Catherine Mahony12, Irene Manou11, Pauline McNamee12, Pilar Prieto3, Kirsty Reid5, Erwin Roggen13, Katrin Schutte9, Catrina Stirling14, Sylvie Uhlrich15, Renate Weissenhorn16, Maurice Whelan3.   

Abstract

EU regulations call for the use of alternative methods to animal testing. During the last decade, an increasing number of alternative approaches have been formally adopted. In parallel, new 3Rs-relevant technologies and mechanistic approaches have increasingly contributed to hazard identification and risk assessment evolution. In this changing landscape, an EPAA meeting reviewed the challenges that different industry sectors face in the implementation of alternative methods following a science-driven approach. Although clear progress was acknowledged in animal testing reduction and refinement thanks to an integration of scientifically robust approaches, the following challenges were identified: i) further characterization of toxicity pathways; ii) development of assays covering current scientific gaps, iii) better characterization of links between in vitro readouts and outcome in the target species; iv) better definition of alternative method applicability domains, and v) appropriate implementation of the available approaches. For areas having regulatory adopted alternative methods (e.g., vaccine batch testing), harmonised acceptance across geographical regions was considered critical for broader application. Overall, the main constraints to the application of non-animal alternatives are the still existing gaps in scientific knowledge and technological limitations. The science-driven identification of most appropriate methods is key for furthering a multi-sectorial decrease in animal testing.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 30098372     DOI: 10.1016/j.yrtph.2018.08.002

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


  2 in total

1.  The use of Bayesian methodology in the development and validation of a tiered assessment approach towards prediction of rat acute oral toxicity.

Authors:  James W Firman; Mark T D Cronin; Philip H Rowe; Elizaveta Semenova; John E Doe
Journal:  Arch Toxicol       Date:  2022-01-16       Impact factor: 5.153

2.  Molecular Image-Based Prediction Models of Nuclear Receptor Agonists and Antagonists Using the DeepSnap-Deep Learning Approach with the Tox21 10K Library.

Authors:  Yasunari Matsuzaka; Yoshihiro Uesawa
Journal:  Molecules       Date:  2020-06-15       Impact factor: 4.411

  2 in total

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