Bernhofer L P, Seiberg M, Martin K M
Skin Research Center, Johnson & Johnson Consumer Products Worldwide, 199 Grandview Road, Skillman, NJ 08558, USA.
Toxicol In Vitro. 1999 Apr;13(2):219-29. doi: 10.1016/s0887-2333(98)00087-3.
A number of diverse in vitro model systems have been employed for the prediction of irritation potential of test articles. Monolayer systems have proven to be useful for preliminary screening but are not always capable of distinguishing mild effects or adaptable to fully formulated product. Three-dimensional reconstructed skin equivalents integrate cellular toxicity with the kinetics of exposure and absorption, serving as more realistic models; however, it is not obvious which of the three-dimensional models will give the most predictive response, and which biomarker should be used for an endpoint measurement for different groups of irritants. While evaluating these variables, we have shown that different irritants modulate various cytokine mRNA levels and secretion patterns in a time- and concentration-dependent manner that is unique to each product category. These profiles are also dependent on keratinocyte-fibroblast interactions. The most predictive combinations of model systems and biomarkers for each product category were identified following comparison to preclinical data and human in vivo skin responses. Using a panel of representative consumer products, we identified IL-1alpha, IL-1ra, IL-8 and GM-CSF release from skin equivalents as being the best indicators of irritation.
许多不同的体外模型系统已被用于预测测试物品的刺激潜力。单层系统已被证明对初步筛选有用,但并不总是能够区分轻微影响或适应完全配方的产品。三维重建皮肤等效物将细胞毒性与暴露和吸收动力学相结合,作为更现实的模型;然而,尚不清楚哪种三维模型将给出最具预测性的反应,以及对于不同组的刺激物应使用哪种生物标志物进行终点测量。在评估这些变量时,我们已经表明,不同的刺激物以时间和浓度依赖性方式调节各种细胞因子mRNA水平和分泌模式,这对于每个产品类别都是独特的。这些特征也依赖于角质形成细胞-成纤维细胞相互作用。在与临床前数据和人体体内皮肤反应进行比较之后,确定了每个产品类别最具预测性的模型系统和生物标志物组合。使用一组代表性的消费品,我们确定从皮肤等效物中释放的IL-1α、IL-1ra、IL-8和GM-CSF是刺激的最佳指标。