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利用人 THP-1 单核细胞基因表达变化分析预测化学物质的接触致敏潜能。

Prediction of the contact sensitizing potential of chemicals using analysis of gene expression changes in human THP-1 monocytes.

机构信息

Department of Toxicology and Carcinogenesis, Nofer Institute of Occupational Medicine, 8 Teresy St., 91-348 Łódź, Poland.

出版信息

Toxicol Lett. 2010 Nov 10;199(1):51-9. doi: 10.1016/j.toxlet.2010.08.005. Epub 2010 Aug 14.

Abstract

The aim of this study was to find differentially regulated genes in THP-1 monocytic cells exposed to sensitizers and nonsensitizers and to investigate if such genes could be reliable markers for an in vitro predictive method for the identification of skin sensitizing chemicals. Changes in expression of 35 genes in the THP-1 cell line following treatment with chemicals of different sensitizing potential (from nonsensitizers to extreme sensitizers) were assessed using real-time PCR. Verification of 13 candidate genes by testing a large number of chemicals (an additional 22 sensitizers and 8 nonsensitizers) revealed that prediction of contact sensitization potential was possible based on evaluation of changes in three genes: IL8, HMOX1 and PAIMP1. In total, changes in expression of these genes allowed correct detection of sensitization potential of 21 out of 27 (78%) test sensitizers. The gene expression levels inside potency groups varied and did not allow estimation of sensitization potency of test chemicals. Results of this study indicate that evaluation of changes in expression of proposed biomarkers in THP-1 cells could be a valuable model for preliminary screening of chemicals to discriminate an appreciable majority of sensitizers from nonsensitizers.

摘要

本研究旨在寻找经敏化剂和非敏化剂处理的 THP-1 单核细胞中差异表达的基因,并探讨这些基因是否可作为体外预测方法鉴定皮肤致敏化学品的可靠标志物。采用实时 PCR 法评估 THP-1 细胞系中 35 个基因在接触不同致敏潜能(从非敏化剂到极度敏化剂)的化学物质后的表达变化。通过测试大量化学品(另外 22 个敏化剂和 8 个非敏化剂)对 13 个候选基因进行验证,结果表明,基于对 3 个基因(IL8、HMOX1 和 PAIMP1)变化的评估,可预测接触致敏潜能。这些基因表达变化可正确检测出 27 种(78%)受试敏化剂中的 21 种敏化潜能。这些基因在效价组内的表达变化不同,无法估计受试化学品的致敏效价。本研究结果表明,评价 THP-1 细胞中提出的生物标志物表达变化,可能是初步筛选化学品以区分大多数致敏剂和非致敏剂的有价值的模型。

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