Literature DB >> 25424538

Successful validation of genomic biomarkers for human immunotoxicity in Jurkat T cells in vitro.

Peter C J Schmeits1,2, Jia Shao1,2, Danique A van der Krieken1, Oscar L Volger1, Henk van Loveren2,3, Ad A C M Peijnenburg1, Peter J M Hendriksen1.   

Abstract

Previously, we identified 25 classifier genes that were able to assess immunotoxicity using human Jurkat T cells. The present study aimed to validate these classifiers. For that purpose, Jurkat cells were exposed for 6 h to subcytotoxic doses of nine immunotoxicants, five non-immunotoxicants and four compounds for which human immunotoxicity has not yet been fully established. RNA was isolated and subjected to Fluidigm quantitative real time (qRT)-PCR analysis. The sensitivity, specificity and accuracy of the screening assay as based on the nine immunotoxicants and five non-immunotoxicants used in this study were 100%, 80% and 93%, respectively, which is better than the performance in our previous study. Only one compound was classified as false positive (benzo-e-pyrene). Of the four potential (non-)immunotoxicants, chlorantraniliprole and Hidrasec were classified immunotoxic and Sunset yellow and imidacloprid as non-immunotoxic. ToxPi analysis of the PCR data provided insight in the molecular pathways that were affected by the compounds. The immunotoxicants 2,3-dichloro-propanol and cypermethrin, although structurally different, affected protein metabolism and cholesterol biosynthesis and transport. In addition, four compounds, i.e. chlorpyrifos, aldicarb, benzo-e-pyrene and anti-CD3, affected genes in cholesterol metabolism and transport, protein metabolism and transcription regulation. qRT-PCR on eight additional genes coding for similar processes as defined in ToxPi analyzes, supported these results. In conclusion, the 25 immunotoxic classifiers performed very well in a screening with new non-immunotoxic and immunotoxic compounds. Therefore, the Jurkat screening assay has great promise to be applied within a tiered approach for animal free testing of human immunotoxicity.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Fluidigm; Jurkat; ToxPi; biomarker; classifier; genomic; high throughput; immunotoxicity; prediction; qRT-PCR

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Year:  2014        PMID: 25424538     DOI: 10.1002/jat.3079

Source DB:  PubMed          Journal:  J Appl Toxicol        ISSN: 0260-437X            Impact factor:   3.446


  4 in total

1.  Identification of p53 Activators in a Human Microarray Compendium.

Authors:  J Christopher Corton; Kristine L Witt; Carole L Yauk
Journal:  Chem Res Toxicol       Date:  2019-09-03       Impact factor: 3.973

2.  ToxPi Graphical User Interface 2.0: Dynamic exploration, visualization, and sharing of integrated data models.

Authors:  Skylar W Marvel; Kimberly To; Fabian A Grimm; Fred A Wright; Ivan Rusyn; David M Reif
Journal:  BMC Bioinformatics       Date:  2018-03-05       Impact factor: 3.169

3.  Optimization of the IL-2 Luc assay for immunosuppressive drugs: a novel in vitro immunotoxicity test with high sensitivity and predictivity.

Authors:  Yutaka Kimura; Hitoshi Terui; Chizu Fujimura; Ryo Amagai; Toshiya Takahashi; Setsuya Aiba
Journal:  Arch Toxicol       Date:  2021-06-27       Impact factor: 5.153

4.  Application of the TGx-28.65 transcriptomic biomarker to classify genotoxic and non-genotoxic chemicals in human TK6 cells in the presence of rat liver S9.

Authors:  Carole L Yauk; Julie K Buick; Andrew Williams; Carol D Swartz; Leslie Recio; Heng-Hong Li; Albert J Fornace; Errol M Thomson; Jiri Aubrecht
Journal:  Environ Mol Mutagen       Date:  2016-03-04       Impact factor: 3.216

  4 in total

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