Strickland Judy, Allen David G, Germolec Dori, Kleinstreuer Nicole, Johnson Victor J, Gulledge Travis, Truax Jim, Lowit Anna, Dole Timothy, McMahon Timothy, Panger Melissa, Facey Judy, Savage Stephen
Inotiv, Inc., Morrisville, North Carolina, USA.
Division of Translational Toxicology, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA.
Appl In Vitro Toxicol. 2022 Dec 1;8(4):117-128. doi: 10.1089/aivt.2022.0014. Epub 2022 Dec 16.
Isothiazolinones (ITs) are widely used as antimicrobial preservatives in cosmetics and as additives for preservation of consumer and industrial products to control bacteria, fungi, and algae. Although they are effective biocides, they have the potential to produce skin irritation and sensitization, which poses a human health hazard. In this project, we evaluated nonanimal defined approaches (DAs) for skin sensitization that can provide point-of-departure estimates for use in quantitative risk assessment for ITs.
The skin sensitization potential of six ITs was evaluated using three internationally harmonized nonanimal test methods: the direct peptide reactivity assay, KeratinoSens™, and the human cell line activation test. Results from these test methods were then applied to two versions of the Shiseido Artificial Neural Network DA.
Sensitization hazard or potency predictions were compared with those of the in vivo murine local lymph node assay (LLNA). The nonanimal methods produced skin sensitization hazard and potency classifications concordant with those of the LLNA. EC3 values (the estimated concentration needed to produce a stimulation index of three, the threshold positive response) generated by the DAs had less variability than LLNA EC3 values, and confidence limits from the DAs overlapped those of the LLNA EC3 for most substances.
The application of models to and in vitro skin sensitization data is a promising data integration procedure for DAs to support hazard and potency classification and quantitative risk assessment.
异噻唑啉酮(ITs)作为抗菌防腐剂广泛应用于化妆品中,并作为消费品和工业产品防腐剂的添加剂,用于控制细菌、真菌和藻类。尽管它们是有效的杀菌剂,但有可能引起皮肤刺激和过敏,对人类健康构成危害。在本项目中,我们评估了用于皮肤过敏的非动物定义方法(DAs),这些方法可为ITs的定量风险评估提供起始点估计值。
使用三种国际协调的非动物测试方法评估六种ITs的皮肤过敏潜力:直接肽反应性测定法、KeratinoSens™ 和人类细胞系激活试验。然后将这些测试方法的结果应用于资生堂人工神经网络DAs的两个版本。
将过敏危害或效力预测结果与体内小鼠局部淋巴结试验(LLNA)的结果进行比较。非动物方法得出的皮肤过敏危害和效力分类与LLNA的结果一致。DAs生成的EC3值(产生刺激指数为3所需的估计浓度,即阈值阳性反应)的变异性小于LLNA的EC3值,并且对于大多数物质,DAs的置信限与LLNA的EC3值的置信限重叠。
将模型应用于体外皮肤过敏数据是一种很有前景的数据整合程序,可用于支持DAs进行危害和效力分类以及定量风险评估。