Literature DB >> 27569201

Can currently available non-animal methods detect pre and pro-haptens relevant for skin sensitization?

Grace Patlewicz1, Silvia Casati2, David A Basketter3, David Asturiol2, David W Roberts4, Jean-Pierre Lepoittevin5, Andrew P Worth2, Karin Aschberger2.   

Abstract

Predictive testing to characterize substances for their skin sensitization potential has historically been based on animal tests such as the Local Lymph Node Assay (LLNA). In recent years, regulations in the cosmetics and chemicals sectors have provided strong impetus to develop non-animal alternatives. Three test methods have undergone OECD validation: the direct peptide reactivity assay (DPRA), the KeratinoSens™ and the human Cell Line Activation Test (h-CLAT). Whilst these methods perform relatively well in predicting LLNA results, a concern raised is their ability to predict chemicals that need activation to be sensitizing (pre- or pro-haptens). This current study reviewed an EURL ECVAM dataset of 127 substances for which information was available in the LLNA and three non-animal test methods. Twenty eight of the sensitizers needed to be activated, with the majority being pre-haptens. These were correctly identified by 1 or more of the test methods. Six substances were categorized exclusively as pro-haptens, but were correctly identified by at least one of the cell-based assays. The analysis here showed that skin metabolism was not likely to be a major consideration for assessing sensitization potential and that sensitizers requiring activation could be identified correctly using one or more of the current non-animal methods. Published by Elsevier Inc.

Entities:  

Keywords:  Adverse Outcome Pathway; DPRA; KeratinoSens™; Pre-hapten; Pro-hapten; Reaction mechanistic domain; Skin sensitization; h-CLAT

Mesh:

Substances:

Year:  2016        PMID: 27569201     DOI: 10.1016/j.yrtph.2016.08.007

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


  7 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.  Application of a combined aggregate exposure pathway and adverse outcome pathway (AEP-AOP) approach to inform a cumulative risk assessment: A case study with phthalates.

Authors:  Rebecca A Clewell; Jeremy A Leonard; Chantel I Nicolas; Jerry L Campbell; Miyoung Yoon; Alina Y Efremenko; Patrick D McMullen; Melvin E Andersen; Harvey J Clewell; Katherine A Phillips; Yu-Mei Tan
Journal:  Toxicol In Vitro       Date:  2020-04-08       Impact factor: 3.500

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

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

5.  Development of a 96-Well Electrophilic Allergen Screening Assay for Skin Sensitization Using a Measurement Science Approach.

Authors:  Elijah J Petersen; Richard Uhl; Blaza Toman; John T Elliott; Judy Strickland; James Truax; John Gordon
Journal:  Toxics       Date:  2022-05-17

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.  Quantitative assessment of sensitizing potency using a dose-response adaptation of GARDskin.

Authors:  Robin Gradin; Andy Forreryd; Ulrika Mattson; Anders Jerre; Henrik Johansson
Journal:  Sci Rep       Date:  2021-09-23       Impact factor: 4.379

  7 in total

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