Literature DB >> 25448812

Systematic evaluation of non-animal test methods for skin sensitisation safety assessment.

Kerstin Reisinger1, Sebastian Hoffmann, Nathalie Alépée, Takao Ashikaga, Joao Barroso, Cliff Elcombe, Nicola Gellatly, Valentina Galbiati, Susan Gibbs, Hervé Groux, Jalila Hibatallah, Donald Keller, Petra Kern, Martina Klaric, Susanne Kolle, Jochen Kuehnl, Nathalie Lambrechts, Malin Lindstedt, Marion Millet, Silvia Martinozzi-Teissier, Andreas Natsch, Dirk Petersohn, Ian Pike, Hitoshi Sakaguchi, Andreas Schepky, Magalie Tailhardat, Marie Templier, Erwin van Vliet, Gavin Maxwell.   

Abstract

The need for non-animal data to assess skin sensitisation properties of substances, especially cosmetics ingredients, has spawned the development of many in vitro methods. As it is widely believed that no single method can provide a solution, the Cosmetics Europe Skin Tolerance Task Force has defined a three-phase framework for the development of a non-animal testing strategy for skin sensitization potency prediction. The results of the first phase – systematic evaluation of 16 test methods – are presented here. This evaluation involved generation of data on a common set of ten substances in all methods and systematic collation of information including the level of standardisation, existing test data,potential for throughput, transferability and accessibility in cooperation with the test method developers.A workshop was held with the test method developers to review the outcome of this evaluation and to discuss the results. The evaluation informed the prioritisation of test methods for the next phase of the non-animal testing strategy development framework. Ultimately, the testing strategy – combined with bioavailability and skin metabolism data and exposure consideration – is envisaged to allow establishment of a data integration approach for skin sensitisation safety assessment of cosmetic ingredients.

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Year:  2015        PMID: 25448812     DOI: 10.1016/j.tiv.2014.10.018

Source DB:  PubMed          Journal:  Toxicol In Vitro        ISSN: 0887-2333            Impact factor:   3.500


  16 in total

Review 1.  Application of proteomics in the elucidation of chemical-mediated allergic contact dermatitis.

Authors:  Tessa Höper; Franz Mussotter; Andrea Haase; Andreas Luch; Tewes Tralau
Journal:  Toxicol Res (Camb)       Date:  2017-06-13       Impact factor: 3.524

2.  Prediction of skin sensitization potency using machine learning approaches.

Authors:  Qingda Zang; Michael Paris; David M Lehmann; Shannon Bell; Nicole Kleinstreuer; David Allen; Joanna Matheson; Abigail Jacobs; Warren Casey; Judy Strickland
Journal:  J Appl Toxicol       Date:  2017-01-10       Impact factor: 3.446

3.  An evaluation of selected (Q)SARs/expert systems for predicting skin sensitisation potential.

Authors:  J M Fitzpatrick; D W Roberts; G Patlewicz
Journal:  SAR QSAR Environ Res       Date:  2018-04-20       Impact factor: 3.000

4.  Integrated decision strategies for skin sensitization hazard.

Authors:  Judy Strickland; Qingda Zang; Nicole Kleinstreuer; Michael Paris; David M Lehmann; Neepa Choksi; Joanna Matheson; Abigail Jacobs; Anna Lowit; David Allen; Warren Casey
Journal:  J Appl Toxicol       Date:  2016-02-06       Impact factor: 3.446

5.  Immunotoxicology: A brief history, current status and strategies for future immunotoxicity assessment.

Authors:  Dori Germolec; Robert Luebke; Andrew Rooney; Kelly Shipkowski; Rob Vandebriel; Henk van Loveren
Journal:  Curr Opin Toxicol       Date:  2017-08

Review 6.  Non-animal methods to predict skin sensitization (II): an assessment of defined approaches *.

Authors:  Nicole C Kleinstreuer; Sebastian Hoffmann; Nathalie Alépée; David Allen; Takao Ashikaga; Warren Casey; Elodie Clouet; Magalie Cluzel; Bertrand Desprez; Nichola Gellatly; Carsten Göbel; Petra S Kern; Martina Klaric; Jochen Kühnl; Silvia Martinozzi-Teissier; Karsten Mewes; Masaaki Miyazawa; Judy Strickland; Erwin van Vliet; Qingda Zang; Dirk Petersohn
Journal:  Crit Rev Toxicol       Date:  2018-02-23       Impact factor: 5.635

7.  Analysis of publically available skin sensitization data from REACH registrations 2008-2014.

Authors:  Thomas Luechtefeld; Alexandra Maertens; Daniel P Russo; Costanza Rovida; Hao Zhu; Thomas Hartung
Journal:  ALTEX       Date:  2016-02-11       Impact factor: 6.043

Review 8.  Testing Human Skin and Respiratory Sensitizers-What Is Good Enough?

Authors:  Anki Malmborg; Carl A K Borrebaeck
Journal:  Int J Mol Sci       Date:  2017-01-24       Impact factor: 5.923

9.  How Adverse Outcome Pathways Can Aid the Development and Use of Computational Prediction Models for Regulatory Toxicology.

Authors:  Clemens Wittwehr; Hristo Aladjov; Gerald Ankley; Hugh J Byrne; Joop de Knecht; Elmar Heinzle; Günter Klambauer; Brigitte Landesmann; Mirjam Luijten; Cameron MacKay; Gavin Maxwell; M E Bette Meek; Alicia Paini; Edward Perkins; Tomasz Sobanski; Dan Villeneuve; Katrina M Waters; Maurice Whelan
Journal:  Toxicol Sci       Date:  2016-12-19       Impact factor: 4.849

10.  QSAR models of human data can enrich or replace LLNA testing for human skin sensitization.

Authors:  Vinicius M Alves; Stephen J Capuzzi; Eugene Muratov; Rodolpho C Braga; Thomas Thornton; Denis Fourches; Judy Strickland; Nicole Kleinstreuer; Carolina H Andrade; Alexander Tropsha
Journal:  Green Chem       Date:  2016-10-06       Impact factor: 10.182

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