Literature DB >> 27638055

From genome-wide arrays to tailor-made biomarker readout - Progress towards routine analysis of skin sensitizing chemicals with GARD.

Andy Forreryd1, Kathrin S Zeller2, Tim Lindberg3, Henrik Johansson4, Malin Lindstedt5.   

Abstract

Allergic contact dermatitis (ACD) initiated by chemical sensitizers is an important public health concern. To prevent ACD, it is important to identify chemical allergens to limit the use of such compounds in various products. EU legislations, as well as increased mechanistic knowledge of skin sensitization have promoted development of non-animal based approaches for hazard classification of chemicals. GARD is an in vitro testing strategy based on measurements of a genomic biomarker signature. However, current GARD protocols are optimized for identification of predictive biomarker signatures, and not suitable for standardized screening. This study describes improvements to GARD to progress from biomarker discovery into a reliable and cost-effective assay for routine testing. Gene expression measurements were transferred to NanoString nCounter platform, normalization strategy was adjusted to fit serial arrival of testing substances, and a novel strategy to correct batch variations was presented. When challenging GARD with 29 compounds, sensitivity, specificity and accuracy could be estimated to 94%, 83% and 90%, respectively. In conclusion, we present a GARD workflow with improved sample capacity, retained predictive performance, and in a format adapted to standardized screening. We propose that GARD is ready to be considered as part of an integrated testing strategy for skin sensitization.
Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  GARD; In vitro assay; Predictive genomic biomarker signature; Skin sensitization

Mesh:

Substances:

Year:  2016        PMID: 27638055     DOI: 10.1016/j.tiv.2016.09.013

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


  5 in total

Review 1.  Artificial intelligence in dermatology and healthcare: An overview.

Authors:  Varadraj Vasant Pai; Rohini Bhat Pai
Journal:  Indian J Dermatol Venereol Leprol       Date:  2021 [SEASON]       Impact factor: 2.545

2.  Validation of the GARD™skin Assay for Assessment of Chemical Skin Sensitizers: Ring Trial Results of Predictive Performance and Reproducibility.

Authors:  Henrik Johansson; Robin Gradin; Angelica Johansson; Els Adriaens; Amber Edwards; Veronika Zuckerstätter; Anders Jerre; Florence Burleson; Helge Gehrke; Erwin L Roggen
Journal:  Toxicol Sci       Date:  2019-08-01       Impact factor: 4.849

3.  The GARDpotency Assay for Potency-Associated Subclassification of Chemical Skin Sensitizers-Rationale, Method Development, and Ring Trial Results of Predictive Performance and Reproducibility.

Authors:  Robin Gradin; Angelica Johansson; Andy Forreryd; Emil Aaltonen; Anders Jerre; Olivia Larne; Ulrika Mattson; Henrik Johansson
Journal:  Toxicol Sci       Date:  2020-08-01       Impact factor: 4.849

4.  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

Review 5.  Artificial Intelligence Applications in Dermatology: Where Do We Stand?

Authors:  Arieh Gomolin; Elena Netchiporouk; Robert Gniadecki; Ivan V Litvinov
Journal:  Front Med (Lausanne)       Date:  2020-03-31
  5 in total

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