Baltazar Maria T, Cable Sophie, Carmichael Paul L, Cubberley Richard, Cull Tom, Delagrange Mona, Dent Matthew P, Hatherell Sarah, Houghton Jade, Kukic Predrag, Li Hequn, Lee Mi-Young, Malcomber Sophie, Middleton Alistair M, Moxon Thomas E, Nathanail Alexis V, Nicol Beate, Pendlington Ruth, Reynolds Georgia, Reynolds Joe, White Andrew, Westmoreland Carl
Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire MK44 1LQ, UK.
Toxicol Sci. 2020 Jul 1;176(1):236-252. doi: 10.1093/toxsci/kfaa048.
Next-Generation Risk Assessment is defined as an exposure-led, hypothesis-driven risk assessment approach that integrates new approach methodologies (NAMs) to assure safety without the use of animal testing. These principles were applied to a hypothetical safety assessment of 0.1% coumarin in face cream and body lotion. For the purpose of evaluating the use of NAMs, existing animal and human data on coumarin were excluded. Internal concentrations (plasma Cmax) were estimated using a physiologically based kinetic model for dermally applied coumarin. Systemic toxicity was assessed using a battery of in vitro NAMs to identify points of departure (PoDs) for a variety of biological effects such as receptor-mediated and immunomodulatory effects (Eurofins SafetyScreen44 and BioMap Diversity 8 Panel, respectively), and general bioactivity (ToxCast data, an in vitro cell stress panel and high-throughput transcriptomics). In addition, in silico alerts for genotoxicity were followed up with the ToxTracker tool. The PoDs from the in vitro assays were plotted against the calculated in vivo exposure to calculate a margin of safety with associated uncertainty. The predicted Cmax values for face cream and body lotion were lower than all PoDs with margin of safety higher than 100. Furthermore, coumarin was not genotoxic, did not bind to any of the 44 receptors tested and did not show any immunomodulatory effects at consumer-relevant exposures. In conclusion, this case study demonstrated the value of integrating exposure science, computational modeling and in vitro bioactivity data, to reach a safety decision without animal data.
下一代风险评估被定义为一种以暴露为导向、以假设为驱动的风险评估方法,该方法整合了新方法学(NAMs),以在不使用动物试验的情况下确保安全性。这些原则被应用于对面霜和身体乳液中0.1%香豆素的假设性安全评估。为了评估NAMs的使用情况,排除了现有的关于香豆素的动物和人类数据。使用基于生理学的动力学模型来估计经皮肤施用香豆素后的体内浓度(血浆Cmax)。使用一系列体外NAMs评估全身毒性,以确定各种生物学效应(如受体介导效应和免疫调节效应,分别采用欧陆科技集团安全筛选44和生物图谱多样性8检测板)以及一般生物活性(ToxCast数据、体外细胞应激检测板和高通量转录组学)的起始点(PoDs)。此外,使用ToxTracker工具对遗传毒性的计算机警报进行跟进。将体外试验的PoDs与计算出的体内暴露量进行绘制,以计算具有相关不确定性的安全边际。面霜和身体乳液的预测Cmax值低于所有PoDs,安全边际高于100。此外,香豆素没有遗传毒性,未与所测试的44种受体中的任何一种结合,并且在与消费者相关的暴露水平下未显示任何免疫调节作用。总之,本案例研究证明了整合暴露科学、计算模型和体外生物活性数据以在无动物数据的情况下做出安全决策的价值。