Hatherell Sarah, Baltazar Maria T, Reynolds Joe, Carmichael Paul L, Dent Matthew, Li Hequn, Ryder Stephanie, White Andrew, Walker Paul, Middleton Alistair M
Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire MK44 1LQ, UK.
Cyprotex Discovery Ltd, Macclesfield, Cheshire SK10 4TG, UK.
Toxicol Sci. 2020 Jul 1;176(1):11-33. doi: 10.1093/toxsci/kfaa054.
Many substances for which consumer safety risk assessments need to be conducted are not associated with specific toxicity modes of action, but rather exhibit nonspecific toxicity leading to cell stress. In this work, a cellular stress panel is described, consisting of 36 biomarkers representing mitochondrial toxicity, cell stress, and cell health, measured predominantly using high content imaging. To evaluate the panel, data were generated for 13 substances at exposures consistent with typical use-case scenarios. These included some that have been shown to cause adverse effects in a proportion of exposed humans and have a toxicological mode-of-action associated with cellular stress (eg, doxorubicin, troglitazone, and diclofenac), and some that are not associated with adverse effects due to cellular stress at human-relevant exposures (eg, caffeine, niacinamide, and phenoxyethanol). For each substance, concentration response data were generated for each biomarker at 3 timepoints. A Bayesian model was then developed to quantify the evidence for a biological response, and if present, a credibility range for the estimated point of departure (PoD) was determined. PoDs were compared with the plasma Cmax associated with the typical substance exposures, and indicated a clear differentiation between "low" risk and "high" risk chemical exposure scenarios. Developing robust methods to characterize the in vitro bioactivity of xenobiotics is an important part of non-animal safety assessment. The results presented in this work show that the cellular stress panel can be used, together with other new approach methodologies, to identify chemical exposures that are protective of consumer health.
许多需要进行消费者安全风险评估的物质并非与特定的毒性作用模式相关,而是表现出导致细胞应激的非特异性毒性。在这项工作中,描述了一个细胞应激检测组,它由36种生物标志物组成,代表线粒体毒性、细胞应激和细胞健康,主要通过高内涵成像进行测量。为了评估该检测组,针对13种物质在与典型使用场景一致的暴露条件下生成了数据。这些物质包括一些已被证明会在一定比例的暴露人群中引起不良反应且具有与细胞应激相关的毒理学作用模式的物质(如阿霉素、曲格列酮和双氯芬酸),以及一些在与人类相关的暴露水平下与细胞应激导致的不良反应无关的物质(如咖啡因、烟酰胺和苯氧乙醇)。对于每种物质,在3个时间点针对每种生物标志物生成浓度响应数据。然后开发了一个贝叶斯模型来量化生物学反应的证据,如果存在的话,确定估计的出发剂量(PoD)的可信区间。将PoD与与典型物质暴露相关联的血浆Cmax进行比较,结果表明“低”风险和“高”风险化学暴露场景之间存在明显差异。开发强大的方法来表征异生物素的体外生物活性是非动物安全评估的重要组成部分。这项工作中呈现的结果表明,细胞应激检测组可以与其他新方法一起用于识别对消费者健康有保护作用的化学暴露情况。