Literature DB >> 26795242

SENS-IS, a 3D reconstituted epidermis based model for quantifying chemical sensitization potency: Reproducibility and predictivity results from an inter-laboratory study.

Françoise Cottrez1, Elodie Boitel1, Jean-Claude Ourlin2, Jean-Luc Peiffer2, Isabelle Fabre2, Imène-Sarah Henaoui3, Bernard Mari3, Ambre Vallauri3, Agnes Paquet3, Pascal Barbry3, Claude Auriault1, Pierre Aeby4, Hervé Groux5.   

Abstract

The SENS-IS test protocol for the in vitro detection of sensitizers is based on a reconstructed human skin model (Episkin) as the test system and on the analysis of the expression of a large panel of genes. Its excellent performance was initially demonstrated with a limited set of test chemicals. Further studies (described here) were organized to confirm these preliminary results and to obtain a detailed statistical analysis of the predictive capacity of the assay. A ring-study was thus organized and performed within three laboratories, using a test set of 19 blind coded chemicals. Data analysis indicated that the assay is robust, easily transferable and offers high predictivity and excellent within- and between-laboratories reproducibility. To further evaluate the predictivity of the test protocol according to Cooper statistics a comprehensive test set of 150 chemicals was then analyzed. Again, data analysis confirmed the excellent capacity of the SENS-IS assay for predicting both hazard and potency characteristics, confirming that this assay should be considered as a serious alternative to the available in vivo sensitization tests.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Alternatives to animal tests; Reconstituted epidermis; SENS-IS; Skin sensitization; Toxicogenomics

Mesh:

Substances:

Year:  2016        PMID: 26795242     DOI: 10.1016/j.tiv.2016.01.007

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


  9 in total

Review 1.  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

2.  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

3.  Progress on Reconstructed Human Skin Models for Allergy Research and Identifying Contact Sensitizers.

Authors:  Charlotte Rodrigues Neves; Susan Gibbs
Journal:  Curr Top Microbiol Immunol       Date:  2021       Impact factor: 4.291

Review 4.  Skin Sensitization Testing-What's Next?

Authors:  Gunilla Grundström; Carl A K Borrebaeck
Journal:  Int J Mol Sci       Date:  2019-02-04       Impact factor: 5.923

5.  Determination of Chemical Irritation Potential Using a Defined Gene Signature Set on Tissue-Engineered Human Skin Equivalents.

Authors:  Amy L Harding; Craig Murdoch; Simon Danby; Md Zobaer Hasan; Hirofumi Nakanishi; Tetsuo Furuno; Sirwan Hadad; Robert Turner; Helen E Colley
Journal:  JID Innov       Date:  2021-03-15

6.  Weight of Evidence Approach for Skin Sensitization Potency Categorization of Fragrance Ingredients.

Authors:  Mihwa Na; Devin O'Brien; Maura Lavelle; Isabelle Lee; G Frank Gerberick; Anne Marie Api
Journal:  Dermatitis       Date:  2022 Mar-Apr 01       Impact factor: 4.867

Review 7.  A Multi-Organ-on-Chip Approach to Investigate How Oral Exposure to Metals Can Cause Systemic Toxicity Leading to Langerhans Cell Activation in Skin.

Authors:  Jasper J Koning; Charlotte T Rodrigues Neves; Katharina Schimek; Maria Thon; Sander W Spiekstra; Taco Waaijman; Tanja D de Gruijl; Susan Gibbs
Journal:  Front Toxicol       Date:  2022-02-15

8.  Qualitative and quantitative analysis of Arnebiae Radix and Dictamni Cortex and efficacy study of herbal extracts on allergic contact dermatitis using 3D human reconstructed epidermis.

Authors:  Huan Li; Esther Lim; Gladys Ang; Zhi-Qing Lim; Martin Hui Cai; Jo-Anne Loh; Celine Ng; Peijia Seetoh; Edmund Tian; Lay Beng Goh
Journal:  Chin Herb Med       Date:  2021-10-11

9.  Interpretation of murine local lymph node assay (LLNA) data for skin sensitization: Overload effects, danger signals and chemistry-based read-across.

Authors:  David W Roberts
Journal:  Curr Res Toxicol       Date:  2021-01-21
  9 in total

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