Literature DB >> 25061899

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

Marcel Leist1, 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.   

Abstract

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.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25061899     DOI: 10.14573/altex.1406091

Source DB:  PubMed          Journal:  ALTEX        ISSN: 1868-596X            Impact factor:   6.043


  38 in total

Review 1.  Biology-inspired microphysiological system approaches to solve the prediction dilemma of substance testing.

Authors:  Uwe Marx; Tommy B Andersson; Anthony Bahinski; Mario Beilmann; Sonja Beken; Flemming R Cassee; Murat Cirit; Mardas Daneshian; Susan Fitzpatrick; Olivier Frey; Claudia Gaertner; Christoph Giese; Linda Griffith; Thomas Hartung; Minne B Heringa; Julia Hoeng; Wim H de Jong; Hajime Kojima; Jochen Kuehnl; Marcel Leist; Andreas Luch; Ilka Maschmeyer; Dmitry Sakharov; Adrienne J A M Sips; Thomas Steger-Hartmann; Danilo A Tagle; Alexander Tonevitsky; Tewes Tralau; Sergej Tsyb; Anja van de Stolpe; Rob Vandebriel; Paul Vulto; Jufeng Wang; Joachim Wiest; Marleen Rodenburg; Adrian Roth
Journal:  ALTEX       Date:  2016-05-15       Impact factor: 6.043

2.  The Threshold of Toxicological Concern for prenatal developmental toxicity in rats and rabbits.

Authors:  B van Ravenzwaay; X Jiang; T Luechtefeld; T Hartung
Journal:  Regul Toxicol Pharmacol       Date:  2017-06-20       Impact factor: 3.271

3.  What Kinds of Dogs Are Used in Clinical and Experimental Research?

Authors:  Evelyn Schulte; Sebastian P Arlt
Journal:  Animals (Basel)       Date:  2022-06-08       Impact factor: 3.231

Review 4.  Perspectives on In Vitro to In Vivo Extrapolations.

Authors:  Thomas Hartung
Journal:  Appl In Vitro Toxicol       Date:  2018-12-08

5.  Internationalization of read-across as a validated new approach method (NAM) for regulatory toxicology.

Authors:  Costanza Rovida; Tara Barton-Maclaren; Emilio Benfenati; Francesca Caloni; P. Charukeshi Chandrasekera; Christophe Chesné; Mark T D Cronin; Joop De Knecht; Daniel R Dietrich; Sylvia E Escher; Suzanne Fitzpatrick; Brenna Flannery; Matthias Herzler; Susanne Hougaard Bennekou; Bruno Hubesch; Hennicke Kamp; Jaffar Kisitu; Nicole Kleinstreuer; Simona Kovarich; Marcel Leist; Alexandra Maertens; Kerry Nugent; Giorgia Pallocca; Manuel Pastor; Grace Patlewicz; Manuela Pavan; Octavio Presgrave; Lena Smirnova; Michael Schwarz; Takashi Yamada; Thomas Hartung
Journal:  ALTEX       Date:  2020-04-30       Impact factor: 6.250

6.  International STakeholder NETwork (ISTNET): creating a developmental neurotoxicity (DNT) testing road map for regulatory purposes.

Authors:  Anna Bal-Price; Kevin M Crofton; Marcel Leist; Sandra Allen; Michael Arand; Timo Buetler; Nathalie Delrue; Rex E FitzGerald; Thomas Hartung; Tuula Heinonen; Helena Hogberg; Susanne Hougaard Bennekou; Walter Lichtensteiger; Daniela Oggier; Martin Paparella; Marta Axelstad; Aldert Piersma; Eva Rached; Benoît Schilter; Gabriele Schmuck; Luc Stoppini; Enrico Tongiorgi; Manuela Tiramani; Florianne Monnet-Tschudi; Martin F Wilks; Timo Ylikomi; Ellen Fritsche
Journal:  Arch Toxicol       Date:  2015-01-25       Impact factor: 5.153

7.  From smoking guns to footprints: mining for critical events of toxicity pathways in transcriptome data.

Authors:  Jörg Rahnenführer; Marcel Leist
Journal:  Arch Toxicol       Date:  2015-04-08       Impact factor: 5.153

8.  A transcriptome-based classifier to identify developmental toxicants by stem cell testing: design, validation and optimization for histone deacetylase inhibitors.

Authors:  Eugen Rempel; Lisa Hoelting; Tanja Waldmann; Nina V Balmer; Stefan Schildknecht; Marianna Grinberg; John Antony Das Gaspar; Vaibhav Shinde; Regina Stöber; Rosemarie Marchan; Christoph van Thriel; Julia Liebing; Johannes Meisig; Nils Blüthgen; Agapios Sachinidis; Jörg Rahnenführer; Jan G Hengstler; Marcel Leist
Journal:  Arch Toxicol       Date:  2015-08-14       Impact factor: 5.153

9.  Highlight report: Launch of a large integrated European in vitro toxicology project: EU-ToxRisk.

Authors:  Mardas Daneshian; Hennicke Kamp; Jan Hengstler; Marcel Leist; Bob van de Water
Journal:  Arch Toxicol       Date:  2016-03-26       Impact factor: 5.153

10.  Supporting read-across using biological data.

Authors:  Hao Zhu; Mounir Bouhifd; Elizabeth Donley; Laura Egnash; Nicole Kleinstreuer; E Dinant Kroese; Zhichao Liu; Thomas Luechtefeld; Jessica Palmer; David Pamies; Jie Shen; Volker Strauss; Shengde Wu; Thomas Hartung
Journal:  ALTEX       Date:  2016-02-11       Impact factor: 6.043

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.