Literature DB >> 25820135

The Myeloid U937 Skin Sensitization Test (U-SENS) addresses the activation of dendritic cell event in the adverse outcome pathway for skin sensitization.

Cécile Piroird1, Jean-Marc Ovigne1, Françoise Rousset1, Silvia Martinozzi-Teissier1, Charles Gomes1, José Cotovio1, Nathalie Alépée2.   

Abstract

The U-SENS™ assay, formerly known as MUSST (Myeloid U937 Skin Sensitization Test), is an in vitro method to assess skin sensitization. Dendritic cell activation following exposure to sensitizers was modelled in the U937 human myeloid cell line by measuring the induction of the expression of CD86 by flow cytometry. The predictive performance of U-SENS™ was assessed via a comprehensive comparison analysis with the available human and LLNA data of 175 substances. U-SENS™ showed 79% specificity, 90% sensitivity and 88% accuracy. A four laboratory ring study demonstrated the transferability, reliability and reproducibility of U-SENS™, with a reproducibility of 95% within laboratories and 79% between-laboratories, showing that the U-SENS™ assay is a promising tool in a skin sensitization risk assessment testing strategy.
Copyright © 2015. Published by Elsevier Ltd.

Entities:  

Keywords:  CD86 induction; Dendritic cells; MUSST; Predictivity; Skin sensitization; U-SENS™

Mesh:

Substances:

Year:  2015        PMID: 25820135     DOI: 10.1016/j.tiv.2015.03.009

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


  10 in total

1.  Tri-culture system for pro-hapten sensitizer identification and potency classification.

Authors:  Serom Lee; Talia Greenstein; Lingting Shi; Tim Maguire; Rene Schloss; Martin Yarmush
Journal:  Technology (Singap World Sci)       Date:  2018-06-29

Review 2.  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

Review 3.  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

4.  Evaluating Confidence in Toxicity Assessments Based on Experimental Data and In Silico Predictions.

Authors:  Candice Johnson; Lennart T Anger; Romualdo Benigni; David Bower; Frank Bringezu; Kevin M Crofton; Mark T D Cronin; Kevin P Cross; Magdalena Dettwiler; Markus Frericks; Fjodor Melnikov; Scott Miller; David W Roberts; Diana Suarez-Rodriguez; Alessandra Roncaglioni; Elena Lo Piparo; Raymond R Tice; Craig Zwickl; Glenn J Myatt
Journal:  Comput Toxicol       Date:  2021-11-08

Review 5.  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

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.  Integrated Computational Solution for Predicting Skin Sensitization Potential of Molecules.

Authors:  Konda Leela Sarath Kumar; Sujit R Tangadpalliwar; Aarti Desai; Vivek K Singh; Abhay Jere
Journal:  PLoS One       Date:  2016-06-07       Impact factor: 3.240

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.  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

10.  Hepatic Bioactivation of Skin-Sensitizing Drugs to Immunogenic Reactive Metabolites.

Authors:  Lor Huai Chong; Celine Ng; Huan Li; Edmund Feng Tian; Abhishek Ananthanarayanan; Michael McMillian; Yi-Chin Toh
Journal:  ACS Omega       Date:  2019-08-12
  10 in total

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