Literature DB >> 16311011

Development of an in vitro skin sensitization test using human cell lines: the human Cell Line Activation Test (h-CLAT). I. Optimization of the h-CLAT protocol.

T Ashikaga1, Y Yoshida, M Hirota, K Yoneyama, H Itagaki, H Sakaguchi, M Miyazawa, Y Ito, H Suzuki, H Toyoda.   

Abstract

The aim of this study is to optimize the experimental conditions for an in vitro skin sensitization test using the human cell lines THP-1 and U-937. As regards pre-culturing time, the expression of CD86 on DNCB-treated THP-1 cells tended to be higher after 48h and 72h pre-culture compared with other time points evaluated. Next, we investigated the effect of chemical treatment time, and found that induction of CD86 expression on THP-1 cells by DNCB reached a plateau after 24h. Augmentation of CD86 expression is often observed when cells are treated with a subtoxic dose of allergens. To determine the appropriate dose of test samples, the cytotoxicity of test samples to THP-1 and U-937 cells was assessed with MTT assay, and the 50% inhibitory concentration (IC50) of each test sample was calculated. Based on the cytotoxicity assay data, four concentrations in the range between toxic and non-toxic were selected (0.1x, 0.5x, 1x and 2x IC50). Several kinds of antibodies were tested for staining THP-1 and U-937 cells treated with allergens/non-allergens (e.g., DNCB, Ni/SLS), and suitable antibodies for staining CD86 and CD54 were selected. We confirmed that the working dilutions of the selected CD86 and CD54 antibodies were appropriate for use in our method. The effect of an FcR blocking procedure was also evaluated. The mean fluorescence intensity (MFI value) was decreased by the FcR blocking procedure, which indicated that non-specific staining was blocked. Therefore, this procedure should be included in the method. Based on our findings, the protocol for this assay was optimized and the experimental conditions to be used in a future validation study were identified. We propose to call this kind of in vitro skin sensitization test h-CLAT, which is short for human Cell Line Activation Test.

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Year:  2005        PMID: 16311011     DOI: 10.1016/j.tiv.2005.10.012

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


  35 in total

1.  Probabilistic hazard assessment for skin sensitization potency by dose-response modeling using feature elimination instead of quantitative structure-activity relationships.

Authors:  Thomas Luechtefeld; Alexandra Maertens; James M McKim; Thomas Hartung; Andre Kleensang; Vanessa Sá-Rocha
Journal:  J Appl Toxicol       Date:  2015-06-05       Impact factor: 3.446

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

3.  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

4.  Adenosine diphosphate involvement in THP-1 maturation triggered by the contact allergen 1-fluoro-2,4-dinitrobenzene.

Authors:  J D Martins; A Silva; I Ferreira; M Gonçalo; J B A Custódio; M C Lopes; M R M Domingues; B M Neves; M T Cruz
Journal:  Toxicol Res (Camb)       Date:  2016-08-04       Impact factor: 3.524

Review 5.  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

Review 6.  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

7.  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

8.  Acute and subacute oral administration of mycotoxin deoxynivalenol exacerbates the pro-inflammatory and pro-pruritic responses in a mouse model of allergic dermatitis.

Authors:  Ryota Aihara; Toa Ookawara; Ai Morimoto; Naoki Iwashita; Yoshiichi Takagi; Atsushi Miyasaka; Masayo Kushiro; Shiro Miyake; Tomoki Fukuyama
Journal:  Arch Toxicol       Date:  2020-08-19       Impact factor: 5.153

9.  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 10.  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

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