Literature DB >> 22796097

Prediction of skin sensitization potency of chemicals by human Cell Line Activation Test (h-CLAT) and an attempt at classifying skin sensitization potency.

Yuko Nukada1, Takao Ashikaga, Masaaki Miyazawa, Morihiko Hirota, Hitoshi Sakaguchi, Hitoshi Sasa, Naohiro Nishiyama.   

Abstract

The human Cell Line Activation Test (h-CLAT), an in vitro skin sensitization test, is based on the augmentation of CD86 and CD54 expression in THP-1 cells following exposure to chemicals. The h-CLAT was found to be capable of determining the hazard of skin sensitization. In contrast, the local lymph node assay (LLNA), widely used as a stand-alone method in Europe and US, identifies the same hazard, but also classifies the potency by using the estimated concentration of SI=3 (EC3). In this study, several values calculated from the h-CLAT data were evaluated for its correlation to the LLNA EC3 determination. A statistically significant correlation was observed between h-CLAT concentration providing a cell viability of 75% (CV75), h-CLAT estimated concentration of RFI=150 for CD86 (EC150), and for CD54 (EC200) with LLNA's EC3. From EC150 and EC200, a minimum induction threshold (MIT) was determined as the smaller of either EC150 or EC200. MIT showed a correlation with EC3 (R=0.638). Also, MIT had an approximate 80% accuracy for sub-categories of the globally harmonized system (GHS) when a tentative threshold of 13 μg/mL was used. From these data, the h-CLAT values may be one of the useful tools to predict the allergic potency of chemicals.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22796097     DOI: 10.1016/j.tiv.2012.07.001

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


  10 in total

1.  Predicting the future: opportunities and challenges for the chemical industry to apply 21st-century toxicity testing.

Authors:  Raja S Settivari; Nicholas Ball; Lynea Murphy; Reza Rasoulpour; Darrell R Boverhof; Edward W Carney
Journal:  J Am Assoc Lab Anim Sci       Date:  2015-03       Impact factor: 1.232

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

Review 3.  Metal nanomaterials: Immune effects and implications of physicochemical properties on sensitization, elicitation, and exacerbation of allergic disease.

Authors:  Katherine A Roach; Aleksandr B Stefaniak; Jenny R Roberts
Journal:  J Immunotoxicol       Date:  2019-12       Impact factor: 3.000

4.  Integrated decision strategies for skin sensitization hazard.

Authors:  Judy Strickland; Qingda Zang; Nicole Kleinstreuer; Michael Paris; David M Lehmann; Neepa Choksi; Joanna Matheson; Abigail Jacobs; Anna Lowit; David Allen; Warren Casey
Journal:  J Appl Toxicol       Date:  2016-02-06       Impact factor: 3.446

5.  In vitro assessment of skin sensitization, irritability and toxicity of bacteriocins and reuterin for possible topical applications.

Authors:  Samira Soltani; Yvan Boutin; Frédéric Couture; Eric Biron; Muriel Subirade; Ismail Fliss
Journal:  Sci Rep       Date:  2022-03-17       Impact factor: 4.379

6.  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 7.  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

8.  Multivariate models for prediction of human skin sensitization hazard.

Authors:  Judy Strickland; Qingda Zang; Michael Paris; David M Lehmann; David Allen; Neepa Choksi; Joanna Matheson; Abigail Jacobs; Warren Casey; Nicole Kleinstreuer
Journal:  J Appl Toxicol       Date:  2016-08-02       Impact factor: 3.446

Review 9.  In vitro Models to Evaluate Drug-Induced Hypersensitivity: Potential Test Based on Activation of Dendritic Cells.

Authors:  Valentina Galbiati; Angela Papale; Elena Kummer; Emanuela Corsini
Journal:  Front Pharmacol       Date:  2016-07-12       Impact factor: 5.810

10.  Evaluation of the Skin-Sensitizing Potential of Brazilian Green Propolis.

Authors:  Erina Shiraishi; Keishi Ishida; Daisuke Matsumaru; Akiko Ido; Youhei Hiromori; Hisamitsu Nagase; Tsuyoshi Nakanishi
Journal:  Int J Mol Sci       Date:  2021-12-17       Impact factor: 5.923

  10 in total

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