使用新一代风险评估对防晒活性成分进行安全决策:二苯甲酮-4案例研究。

ALTEX Pub Date : 2025-01-01 Epub Date: 2025-05-19 DOI:10.14573/altex.2501201
Maria T Baltazar, Sophie Cable, Richard Cubberley, Nicola J Hewitt, Jade Houghton, Predrag Kukic, Hequn Li, Sophie Malcomber, Beate Nicol, Ruth Pendlington, Ans Punt, Joe Reynolds, Sharon Scott, Sandrine Spriggs, Matthew P Dent
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引用次数: 0

摘要

二苯甲酮-4 (BP-4)是一种紫外线过滤剂,在一种沐浴露中含量为5%,我们进行了下一代风险评估,以评估其安全性,并将非动物方法与基于历史动物数据的传统安全性评估进行比较。暴露特征表明,BP-4通过皮肤吸收较差,被肝脏代谢较差,是流入和流出转运体的底物,并由肾脏排出。由此建立的基于生理学的动力学模型预测血浆Cmax上限(第95百分位数)为1.27µM,肝脏和肾脏浓度分别为0.32µM和0.44µM。为了表征生物活性,采用了硅片和体外的新方法。起始点(pod)来自四个生物活性平台,包括体外药理学分析、CALUX测定、高通量转录组学和细胞应激面板。通过将这些试验的体外pod (PoDNAM)除以第95百分位血浆Cmax值,计算出所谓的生物活性:暴露比(ber)。最低的PoD来自单一基因表达变化,最高的PoD来自表型生物标志物,使用原代肾细胞模型。除HepG2和MCF-7细胞中基因水平PoDNAM的ber值分别为3.3和4.3外,大部分ber值均在11以上。这些最低的PoDNAMs与基因转录变化有关,可能表明适应性生物活性,而不是不利的健康影响。这项工作证明了下一代风险评估在不使用动物的情况下解决紧迫的相关监管问题的有用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Making safety decisions for a sunscreen active ingredient using next-generation risk assessment: Benzophenone-4 case study.

A next generation risk assessment was carried out to evaluate the safety of benzophenone-4 (BP-4), a UV filter present at 5% in a body lotion, to compare a non-animal approach with a traditional safety assessment based on historical animal data. Exposure characterization indicated that BP-4 is poorly absorbed through the skin, poorly metabolized by the liver, a substrate of influx and efflux transporters, and excreted by the kidney. The resulting physiologically-based kinetic model predicted an upper bound (95th percentile) plasma Cmax of 1.27 μM, and liver and kidney concentrations of 0.32 μM and 0.44 μM, respectively. To characterize bioactivity, in silico and in vitro new approach methodologies were used. Points of departure (PoDs) were derived from four bioactivity platforms, including in vitro pharmacological profiling, CALUX assays, high-throughput transcriptomics, and a cell stress panel. By dividing the in vitro PoDs (PoDNAM) from these assays by the 95th percentile plasma Cmax value, bioactivity exposure ratios (BERs) were calculated. The lowest PoD was from a single gene expression change, and the highest PoD from phenotypic biomarkers using a primary renal cell model. Most BERs were above 11, except for those from gene-level PoDNAM in HepG2 and MCF-7 cells, which were 3.3 and 4.3. These lowest PoDNAM values are linked to gene transcription changes and are likely indicative of adaptive biological activity rather than adverse health effects. This work demonstrates the usefulness of next generation risk assessment in addressing pressing rel­evant regulatory questions without using animals.

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