Literature DB >> 28543848

Non-animal assessment of skin sensitization hazard: Is an integrated testing strategy needed, and if so what should be integrated?

David W Roberts1, Grace Patlewicz2.   

Abstract

There is an expectation that to meet regulatory requirements, and avoid or minimize animal testing, integrated approaches to testing and assessment will be needed that rely on assays representing key events (KEs) in the skin sensitization adverse outcome pathway. Three non-animal assays have been formally validated and regulatory adopted: the direct peptide reactivity assay (DPRA), the KeratinoSens™ assay and the human cell line activation test (h-CLAT). There have been many efforts to develop integrated approaches to testing and assessment with the "two out of three" approach attracting much attention. Here a set of 271 chemicals with mouse, human and non-animal sensitization test data was evaluated to compare the predictive performances of the three individual non-animal assays, their binary combinations and the "two out of three" approach in predicting skin sensitization potential. The most predictive approach was to use both the DPRA and h-CLAT as follows: (1) perform DPRA - if positive, classify as sensitizing, and (2) if negative, perform h-CLAT - a positive outcome denotes a sensitizer, a negative, a non-sensitizer. With this approach, 85% (local lymph node assay) and 93% (human) of non-sensitizer predictions were correct, whereas the "two out of three" approach had 69% (local lymph node assay) and 79% (human) of non-sensitizer predictions correct. The findings are consistent with the argument, supported by published quantitative mechanistic models that only the first KE needs to be modeled. All three assays model this KE to an extent. The value of using more than one assay depends on how the different assays compensate for each other's technical limitations.
Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  KeratinoSens™; adverse outcome pathway (AOP); direct peptide reactivity assay (DPRA); human cell line activation test (h-CLAT); integrated approaches to testing and assessment (IATA); local lymph node assay (LLNA); quantitative mechanistic models (QMMs); skin sensitization

Mesh:

Substances:

Year:  2017        PMID: 28543848     DOI: 10.1002/jat.3479

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


  9 in total

Review 1.  Progress in data interoperability to support computational toxicology and chemical safety evaluation.

Authors:  Sean Watford; Stephen Edwards; Michelle Angrish; Richard S Judson; Katie Paul Friedman
Journal:  Toxicol Appl Pharmacol       Date:  2019-08-09       Impact factor: 4.219

2.  The modified IL-8 Luc assay, an in vitro skin sensitisation test, can significantly improve the false-negative judgment of lipophilic sensitizers with logKow values > 3.5.

Authors:  Yutaka Kimura; Chizu Fujimura; Setsuya Aiba
Journal:  Arch Toxicol       Date:  2020-10-17       Impact factor: 5.153

Review 3.  Skin and respiratory chemical allergy: confluence and divergence in a hybrid adverse outcome pathway.

Authors:  Ian Kimber; Alan Poole; David A Basketter
Journal:  Toxicol Res (Camb)       Date:  2018-01-26       Impact factor: 3.524

4.  Evaluation of 2-methoxy-4-nitroaniline (MNA) in hypersensitivity, 14-day subacute, reproductive, and genotoxicity studies.

Authors:  Rachel P Frawley; Kristine L Witt; Helen Cunny; Dori R Germolec; Daven Jackson-Humbles; David Malarkey; Keith R Shockley; Matthew Stout; Greg Travlos; Matthew Buccellato; Dawn Fallacara; Shawn Harris; Grace E Kissling; Wimolnut Manheng; Irene Inok Surh; Kimber White; Scott S Auerbach
Journal:  Toxicology       Date:  2020-05-05       Impact factor: 4.221

5.  Skin sensitization in silico protocol.

Authors:  Candice Johnson; Ernst Ahlberg; Lennart T Anger; Lisa Beilke; Romualdo Benigni; Joel Bercu; Sol Bobst; David Bower; Alessandro Brigo; Sarah Campbell; Mark T D Cronin; Ian Crooks; Kevin P Cross; Tatyana Doktorova; Thomas Exner; David Faulkner; Ian M Fearon; Markus Fehr; Shayne C Gad; Véronique Gervais; Amanda Giddings; Susanne Glowienke; Barry Hardy; Catrin Hasselgren; Jedd Hillegass; Robert Jolly; Eckart Krupp; Liat Lomnitski; Jason Magby; Jordi Mestres; Lawrence Milchak; Scott Miller; Wolfgang Muster; Louise Neilson; Rahul Parakhia; Alexis Parenty; Patricia Parris; Alexandre Paulino; Ana Theresa Paulino; David W Roberts; Harald Schlecker; Reinhard Stidl; Diana Suarez-Rodrigez; David T Szabo; Raymond R Tice; Daniel Urbisch; Anna Vuorinen; Brian Wall; Thibaud Weiler; Angela T White; Jessica Whritenour; Joerg Wichard; David Woolley; Craig Zwickl; Glenn J Myatt
Journal:  Regul Toxicol Pharmacol       Date:  2020-07-01       Impact factor: 3.271

6.  An Evaluation of the Occupational Health Hazards of Peptide Couplers.

Authors:  Jessica C Graham; Alejandra Trejo-Martin; Martyn L Chilton; Jakub Kostal; Joel Bercu; Gregory L Beutner; Uma S Bruen; David G Dolan; Stephen Gomez; Jedd Hillegass; John Nicolette; Matthew Schmitz
Journal:  Chem Res Toxicol       Date:  2022-05-09       Impact factor: 3.973

7.  The IL-1 promoter-driven luciferase reporter cell line THP-G1b can efficiently predict skin-sensitising chemicals.

Authors:  Hitoshi Terui; Yutaka Kimura; Chizu Fujimura; Setsuya Aiba
Journal:  Arch Toxicol       Date:  2021-03-13       Impact factor: 5.153

8.  Skin sensitization: Uncertainties, challenges, and opportunities for improved risk assessment.

Authors:  Nicola Gilmour; Ian Kimber; Jason Williams; Gavin Maxwell
Journal:  Contact Dermatitis       Date:  2018-12-07       Impact factor: 6.600

9.  SkinSensPred as a Promising in Silico Tool for Integrated Testing Strategy on Skin Sensitization.

Authors:  Shan-Shan Wang; Chia-Chi Wang; Chun-Wei Tung
Journal:  Int J Environ Res Public Health       Date:  2022-10-07       Impact factor: 4.614

  9 in total

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