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角质形成细胞基因特征预测皮肤致敏潜能的适用性。

Applicability of a keratinocyte gene signature to predict skin sensitizing potential.

机构信息

Department of Toxicogenomics, Maastricht University, PO Box 616, NL-6200 MD Maastricht, The Netherlands.

出版信息

Toxicol In Vitro. 2013 Feb;27(1):314-22. doi: 10.1016/j.tiv.2012.08.023. Epub 2012 Aug 28.

Abstract

There is a need to replace animal tests for the identification of skin sensitizers and currently many alternative assays are being developed that have very promising results. In this study a gene signature capable of very accurate identification of sensitizers was established in the HaCaT human keratinocyte cell line. This signature was evaluated in a separate study using six chemicals that are either local lymph node (LLNA) false-positive or false-negative chemicals in addition to nine sensitizers and four non-sensitizers. Similar studies do not apply these more difficult to classify chemicals, which show the true potential for human predictions of an assay. Although the gene signature has improved prediction accuracy compared to the LLNA, the misclassified compounds were comparable between the two assays. Gene profiling also showed a sensitizer specific response of the Nrf2-keap1 and Toll-like receptor signaling pathways. After exposure to non-sensitizing chemicals that induce either of the pathways the signature misclassified all Nrf2-inducers, while the Toll-like receptor ligands were correctly classified. In conclusion, we confirm that keratinocyte based prediction assays may provide essential information on the properties of compounds. Furthermore, chemical selection is critical for assessment of the performance of in vitro alternative assays.

摘要

需要用替代动物试验的方法来识别皮肤致敏物,目前正在开发许多具有良好前景的替代方法。在这项研究中,我们在 HaCaT 人角质形成细胞系中建立了一个能够非常准确识别致敏物的基因特征。该基因特征在另一项研究中进行了评估,使用了六种化学物质,这些化学物质除了九种致敏物和四种非致敏物外,还包括局部淋巴结(LLNA)假阳性或假阴性化学物质。类似的研究没有应用这些更难分类的化学物质,这些化学物质显示了该检测方法进行人体预测的真正潜力。虽然基因特征与 LLNA 相比提高了预测准确性,但两种检测方法中的错误分类化合物相当。基因分析还显示 Nrf2-keap1 和 Toll 样受体信号通路的致敏物特异性反应。接触非致敏性化学物质后,诱导其中一种途径的化合物都会使基因特征错误分类所有 Nrf2 诱导剂,而 Toll 样受体配体则被正确分类。总之,我们证实基于角质形成细胞的预测检测方法可能为化合物的特性提供重要信息。此外,化学物质的选择对于评估体外替代检测方法的性能至关重要。

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