Beiersdorf AG, Beiersdorfstr. 1-9, 20245, Hamburg, Germany.
L'Oreal Research & Innovation, Aulnay-Sous-Bois, France.
Arch Toxicol. 2024 Jul;98(7):2199-2211. doi: 10.1007/s00204-024-03749-8. Epub 2024 Apr 24.
As part of the safety assessment of salicylate esters in cosmetics, we developed a metabolism factor based on in vitro to in vivo extrapolation (IVIVE) to provide a better estimation of the aggregate internal exposure to the common metabolite, salicylic acid. Optimal incubation conditions using human liver S9 were identified before measuring salicylic acid formation from 31 substances. Four control substances, not defined as salicylic esters but which could be mistaken as such due to their nomenclature, did not form salicylic acid. For the remaining substances, higher in vitro intrinsic clearance (CL) values generally correlated with lower LogP values. A "High-Throughput Pharmacokinetic" (HTPK) model was used to extrapolate CL values to human in vivo clearance and half-lives. The latter were used to calculate the percentage of substance metabolised to salicylic acid in 24 h in vivo following human exposure to the ester, i.e. the "metabolism factor". The IVIVE model correctly reproduced the observed elimination rate of 3 substances using in silico or in vitro input parameters. For other substances, in silico only-based predictions generally resulted in lower metabolism factors than when in vitro values for plasma binding and liver S9 CL were used. Therefore, in vitro data input provides the more conservative metabolism factors compared to those derived using on in silico input. In conclusion, these results indicate that not all substances contribute equally (or at all) to the systemic exposure to salicylic acid. Therefore, we propose a realistic metabolism correction factor by which the potential contribution of salicylate esters to the aggregate consumer exposure to salicylic acid from cosmetic use can be estimated.
作为化妆品中水杨酸酯类安全评估的一部分,我们开发了一种基于体外到体内外推法(IVIVE)的代谢因子,以更好地估计常见代谢物水杨酸的总体内部暴露量。在测量 31 种物质的水杨酸形成之前,确定了使用人肝 S9 的最佳孵育条件。四种对照物质(由于其命名法,未被定义为水杨酸酯,但可能被误认为是水杨酸酯)未形成水杨酸。对于其余物质,较高的体外固有清除率(CL)值通常与较低的 LogP 值相关。使用“高通量药代动力学”(HTPK)模型将 CL 值外推至人体体内清除率和半衰期。后者用于计算人体暴露于酯后 24 小时内物质转化为水杨酸的百分比,即“代谢因子”。该 IVIVE 模型使用体内输入参数正确再现了 3 种物质的观察到的消除率。对于其他物质,仅使用计算机输入的预测通常导致代谢因子低于使用血浆结合和肝 S9 CL 的体外值时的预测值。因此,与使用计算机输入相比,体外数据输入提供了更保守的代谢因子。总之,这些结果表明,并非所有物质都同等(或根本)对水杨酸的系统暴露产生影响。因此,我们提出了一个现实的代谢修正因子,可以估计化妆品使用中水杨酸酯对消费者总体暴露于水杨酸的潜在贡献。