Literature DB >> 23576290

A dataset on 145 chemicals tested in alternative assays for skin sensitization undergoing prevalidation.

Andreas Natsch1, Cindy A Ryan, Leslie Foertsch, Roger Emter, Joanna Jaworska, Frank Gerberick, Petra Kern.   

Abstract

Skin sensitization is a key endpoint for cosmetic ingredients, with a forthcoming ban for animal testing in Europe. Four alternative tests have so far been submitted to ECVAM prevalidation: (i) MUSST and (ii) h-Clat assess surface markers on dendritic cell lines, (iii) the direct peptide reactivity assay (DPRA) measures reactivity with model peptides and (iv) the KeratinoSens(TM) assay which is based on detection of Nrf2-induced luciferase. It is anticipated that only an integrated testing strategy (ITS) based on a battery of tests might give a full replacement providing also a sensitization potency assessment, but this concept should be tested with a data-driven analysis. Here we report a database on 145 chemicals reporting the quantitative endpoints measured in a U937- test, the DPRA and KeratinoSens(TM) . It can serve to develop data-driven ITS approaches as we show in a parallel paper and provides a view as to the current ability to predict with in vitro tests as we are entering 2013. It may also serve as reference database when benchmarking new molecules with in vitro based read-across and find use as a reference database when evaluating new tests. The tests and combinations thereof were evaluated for predictivity, and overall a similar predictivity was found as before on three-fold smaller datasets. Analysis of the dose-response parameters of the individual tests indicates a correlation to sensitization potency. Detailed analysis of chemicals false-negative and false-positive in two tests helped to define limitations in the tests but also in the database derived from animal studies.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  CD86; DPRA; KeratinoSens™; U937; database; dendritic cells; direct peptide reactivity; integrated testing strategy; prevalidation; skin sensitization

Mesh:

Substances:

Year:  2013        PMID: 23576290     DOI: 10.1002/jat.2868

Source DB:  PubMed          Journal:  J Appl Toxicol        ISSN: 0260-437X            Impact factor:   3.446


  24 in total

1.  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

2.  Predicting the future: opportunities and challenges for the chemical industry to apply 21st-century toxicity testing.

Authors:  Raja S Settivari; Nicholas Ball; Lynea Murphy; Reza Rasoulpour; Darrell R Boverhof; Edward W Carney
Journal:  J Am Assoc Lab Anim Sci       Date:  2015-03       Impact factor: 1.232

3.  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 4.  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

5.  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 6.  Laboratory Techniques for Identifying Causes of Allergic Dermatitis.

Authors:  Itai Chipinda; Stacey E Anderson; Paul D Siegel
Journal:  Immunol Allergy Clin North Am       Date:  2021-06-05       Impact factor: 3.479

7.  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

8.  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

9.  Evaluation of the skin sensitization potential of metal oxide nanoparticles using the ARE-Nrf2 Luciferase KeratinoSensTM assay.

Authors:  Sung-Hyun Kim; DongHan Lee; JinHee Lee; Jun-Young Yang; JiHyun Seok; Kikyung Jung; JongKwon Lee
Journal:  Toxicol Res       Date:  2021-01-01

Review 10.  State-of-the-art of 3D cultures (organs-on-a-chip) in safety testing and pathophysiology.

Authors:  Natalie Alépée; Anthony Bahinski; Mardas Daneshian; Bart De Wever; Ellen Fritsche; Alan Goldberg; Jan Hansmann; Thomas Hartung; John Haycock; Helena Hogberg; Lisa Hoelting; Jens M Kelm; Suzanne Kadereit; Emily McVey; Robert Landsiedel; Marcel Leist; Marc Lübberstedt; Fozia Noor; Christian Pellevoisin; Dirk Petersohn; Uwe Pfannenbecker; Kerstin Reisinger; Tzutzuy Ramirez; Barbara Rothen-Rutishauser; Monika Schäfer-Korting; Katrin Zeilinger; Marie-Gabriele Zurich
Journal:  ALTEX       Date:  2014-07-14       Impact factor: 6.043

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