Cottrez Françoise, Boitel Elodie, Ourlin Jean-Claude, Peiffer Jean-Luc, Fabre Isabelle, Henaoui Imène-Sarah, Mari Bernard, Vallauri Ambre, Paquet Agnes, Barbry Pascal, Auriault Claude, Aeby Pierre, Groux Hervé
ImmunoSearch, Grasse, France.
Agence nationale de sécurité du médicament, Vendargues, France.
Toxicol In Vitro. 2016 Apr;32:248-60. doi: 10.1016/j.tiv.2016.01.007. Epub 2016 Jan 18.
The SENS-IS test protocol for the in vitro detection of sensitizers is based on a reconstructed human skin model (Episkin) as the test system and on the analysis of the expression of a large panel of genes. Its excellent performance was initially demonstrated with a limited set of test chemicals. Further studies (described here) were organized to confirm these preliminary results and to obtain a detailed statistical analysis of the predictive capacity of the assay. A ring-study was thus organized and performed within three laboratories, using a test set of 19 blind coded chemicals. Data analysis indicated that the assay is robust, easily transferable and offers high predictivity and excellent within- and between-laboratories reproducibility. To further evaluate the predictivity of the test protocol according to Cooper statistics a comprehensive test set of 150 chemicals was then analyzed. Again, data analysis confirmed the excellent capacity of the SENS-IS assay for predicting both hazard and potency characteristics, confirming that this assay should be considered as a serious alternative to the available in vivo sensitization tests.
用于体外检测致敏剂的SENS-IS测试方案基于重建的人体皮肤模型(Episkin)作为测试系统,并基于对大量基因表达的分析。其卓越性能最初在一组有限的测试化学品中得到证明。随后组织了进一步的研究(在此描述)以证实这些初步结果,并对该检测方法的预测能力进行详细的统计分析。因此,在三个实验室中组织并进行了一项环式研究,使用一组由19种盲编码化学品组成的测试集。数据分析表明,该检测方法稳健、易于转移,具有高预测性以及出色的实验室内部和实验室之间的重现性。为了根据库珀统计数据进一步评估测试方案的预测性,随后分析了一组由150种化学品组成的综合测试集。数据分析再次证实了SENS-IS检测方法在预测危害和效力特征方面的卓越能力,确认该检测方法应被视为现有体内致敏测试的一种可靠替代方法。