Najjar Abdulkarim, Kühnl Jochen, Lange Daniela, Géniès Camille, Jacques Carine, Fabian Eric, Zifle Anne, Hewitt Nicola J, Schepky Andreas
Beiersdorf AG, Hamburg, Germany.
Pierre Fabre Dermo-Cosmétique and Personal CareToulouse, Toulouse, France.
Front Pharmacol. 2024 Jun 19;15:1421601. doi: 10.3389/fphar.2024.1421601. eCollection 2024.
We performed an exposure-based Next Generation Risk Assessment case read-across study using New Approach Methodologies (NAMs) to determine the highest safe concentration of daidzein in a body lotion, based on its similarities with its structural analogue, genistein. Two assumptions were: (1) daidzein is a new chemical and its dietary intake omitted; (2) only data were used for daidzein, while and legacy data for genistein were considered. The 10-step tiered approach evaluating systemic toxicity included toxicokinetics NAMs: PBPK models and biokinetics measurements in cells used for toxicogenomics and toxicodynamic NAMs: pharmacology profiling (i.e., interaction with molecular targets), toxicogenomics and EATS assays (endocrine disruption endpoints). Whole body rat and human PBPK models were used to convert external doses of genistein to plasma concentrations and Points of Departure (PoD) to external doses. The PBPK human dermal module was refined using human skin metabolism and penetration data. The most relevant endpoint for daidzein was from the ERα assay (Lowest Observed Effective Concentration was 100 ± 0.0 nM), which was converted to an PoD of 33 nM. After application of a safety factor of 3.3 for intra-individual variability, the safe concentration of daidzein was estimated to be 10 nM. This was extrapolated to an external dose of 0.5 μg/cm2 for a body lotion and face cream, equating to a concentration of 0.1%. When PoD of 33 nM for daidzein was converted to an external oral dose in rats, the value correlated with the NOAEL. This increased confidence that the rat oral PBPK model provided accurate estimates of internal and external exposure and that the PoD was relevant in the safety assessment of both chemicals. When plasma concentrations estimated from applications of 0.1% and 0.02% daidzein were used to calculate bioactivity exposure ratios, values were >1, indicating a good margin between exposure and concentrations causing adverse effects. In conclusion, this case study highlights the use of NAMs in a 10-step tiered workflow to conclude that the highest safe concentration of daidzein in a body lotion is 0.1%.
我们采用新方法(NAMs)开展了一项基于暴露的下一代风险评估案例类推研究,以确定大豆苷元在身体乳液中的最高安全浓度,该研究基于大豆苷元与其结构类似物染料木黄酮的相似性。有两个假设:(1)大豆苷元是一种新化学物质,忽略其膳食摄入量;(2)仅使用大豆苷元的数据,而考虑染料木黄酮的体外和遗留数据。评估全身毒性的10步分层方法包括毒代动力学NAMs:生理药代动力学(PBPK)模型和用于毒理基因组学的细胞中的生物动力学测量,以及毒效动力学NAMs:药理学分析(即与分子靶点的相互作用)、毒理基因组学和内分泌干扰效应试验(EATS分析,内分泌干扰终点)。使用大鼠和人体全身PBPK模型将染料木黄酮的外部剂量转换为血浆浓度,并将出发剂量(PoD)转换为外部剂量。利用人体皮肤代谢和渗透数据对PBPK人体皮肤模块进行了优化。大豆苷元最相关的终点来自雌激素受体α(ERα)分析(最低观察到的有效浓度为100±0.0 nM),该浓度被转换为33 nM的PoD。在应用3.3的安全系数以考虑个体内变异性后,大豆苷元的安全浓度估计为10 nM。这被外推至身体乳液和面霜的0.5μg/cm2外部剂量,相当于0.1%的浓度。当大豆苷元33 nM的PoD转换为大鼠的外部口服剂量时,该值与无观察到有害作用水平(NOAEL)相关。这增加了对大鼠口服PBPK模型能够准确估计内部和外部暴露以及PoD在两种化学物质安全性评估中具有相关性的信心。当使用0.1%和0.02%大豆苷元应用估计的血浆浓度来计算生物活性暴露比时,值>1,表明暴露与引起不良反应的浓度之间有良好的安全边际。总之,本案例研究突出了在10步分层工作流程中使用NAMs得出身体乳液中大豆苷元的最高安全浓度为0.1%的结论。