Literature DB >> 22659254

Putting the parts together: combining in vitro methods to test for skin sensitizing potentials.

Caroline Bauch1, Susanne N Kolle, Tzutzuy Ramirez, Tobias Eltze, Eric Fabian, Annette Mehling, Wera Teubner, Bennard van Ravenzwaay, Robert Landsiedel.   

Abstract

Allergic contact dermatitis is a common skin disease and is elicited by repeated skin contact with an allergen. In the regulatory context, currently only data from animal experiments are acceptable to assess the skin sensitizing potential of substances. Animal welfare and EU Cosmetic Directive/Regulation call for the implementation of animal-free alternatives for safety assessments. The mechanisms that trigger skin sensitization are complex and various steps are involved. Therefore, a single in vitro method may not be able to accurately assess this endpoint. Non-animal methods are being developed and validated and can be used for testing strategies that ensure a reliable prediction of skin sensitization potentials. In this study, the predictivities of four in vitro assays, one in chemico and one in silico method addressing three different steps in the development of skin sensitization were assessed using 54 test substances of known sensitizing potential. The predictivity of single tests and combinations of these assays were compared. These data were used to develop an in vitro testing scheme and prediction model for the detection of skin sensitizers based on protein reactivity, activation of the Keap-1/Nrf2 signaling pathway and dendritic cell activation.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22659254     DOI: 10.1016/j.yrtph.2012.05.013

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


  23 in total

1.  Tri-culture system for pro-hapten sensitizer identification and potency classification.

Authors:  Serom Lee; Talia Greenstein; Lingting Shi; Tim Maguire; Rene Schloss; Martin Yarmush
Journal:  Technology (Singap World Sci)       Date:  2018-06-29

2.  Probabilistic hazard assessment for skin sensitization potency by dose-response modeling using feature elimination instead of quantitative structure-activity relationships.

Authors:  Thomas Luechtefeld; Alexandra Maertens; James M McKim; Thomas Hartung; Andre Kleensang; Vanessa Sá-Rocha
Journal:  J Appl Toxicol       Date:  2015-06-05       Impact factor: 3.446

3.  Predicting full thickness skin sensitization using a support vector machine.

Authors:  Serom Lee; David Xu Dong; Rohit Jindal; Tim Maguire; Bhaskar Mitra; Rene Schloss; Martin Yarmush
Journal:  Toxicol In Vitro       Date:  2014-07-12       Impact factor: 3.500

4.  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

Review 5.  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

6.  Human-Derived In Vitro Models Used for Skin Toxicity Testing Under REACh.

Authors:  Susanne N Kolle; Robert Landsiedel
Journal:  Handb Exp Pharmacol       Date:  2021

7.  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

Review 8.  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

9.  A dual luciferase assay for evaluation of skin sensitizing potential of medical devices.

Authors:  Elisabeth Mertl; Elisabeth Riegel; Nicole Glück; Gabriele Ettenberger-Bornberg; Grace Lin; Sabrina Auer; Magdalena Haller; Angelika Wlodarczyk; Christoph Steurer; Christian Kirchnawy; Thomas Czerny
Journal:  Mol Biol Rep       Date:  2019-07-30       Impact factor: 2.316

10.  Multivariate models for prediction of human skin sensitization hazard.

Authors:  Judy Strickland; Qingda Zang; Michael Paris; David M Lehmann; David Allen; Neepa Choksi; Joanna Matheson; Abigail Jacobs; Warren Casey; Nicole Kleinstreuer
Journal:  J Appl Toxicol       Date:  2016-08-02       Impact factor: 3.446

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