Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
Environ Sci Technol. 2024 Feb 27;58(8):3677-3689. doi: 10.1021/acs.est.3c08314. Epub 2024 Feb 14.
High-throughput in vitro assays combined with in vitro-in vivo extrapolation (IVIVE) leverage in vitro responses to predict the corresponding in vivo exposures and thresholds of concern. The integrated approach is also expected to offer the potential for efficient tools to provide estimates of chemical toxicity to various wildlife species instead of animal testing. However, developing fish physiologically based toxicokinetic (PBTK) models for IVIVE in ecological applications is challenging, especially for plausible estimation of an internal effective dose, such as fish equivalent concentration (FEC). Here, a fish PBTK model linked with the IVIVE approach was established, with parameter optimization of chemical unbound fraction, pH-dependent ionization and hepatic clearance, and integration of temperature effect and growth dilution. The fish PBTK-IVIVE approach provides not only a more precise estimation of tissue-specific concentrations but also a reasonable approximation of FEC targeting the estrogenic potency of endocrine-disrupting chemicals. Both predictions were compared with in vivo data and were accurate for most indissociable/dissociable chemicals. Furthermore, the model can help determine cross-species variability and sensitivity among the five fish species. Using the available IVIVE-derived FEC with target pathways is helpful to develop predicted no-effect concentration for chemicals with similar mode of action and support screening-level ecological risk assessment.
高通量体外检测与体外-体内外推法(IVIVE)结合使用,可利用体外反应预测相应的体内暴露和关注阈值。该综合方法还有望提供有效的工具,用于估计各种野生动物物种的化学毒性,而无需进行动物测试。然而,为生态应用中的 IVIVE 开发鱼类生理毒代动力学(PBTK)模型具有挑战性,特别是对于内部有效剂量(如鱼类等效浓度,FEC)的合理估计。在这里,建立了一个与 IVIVE 方法相关联的鱼类 PBTK 模型,对化学非结合分数、pH 依赖性离解和肝清除率进行参数优化,并整合了温度效应和生长稀释。鱼类 PBTK-IVIVE 方法不仅提供了更精确的组织特异性浓度估计,还合理地近似了针对内分泌干扰物雌激素效力的 FEC。这两种预测都与体内数据进行了比较,对于大多数不可离解/可离解的化学物质来说,预测结果都很准确。此外,该模型还可以帮助确定五种鱼类之间的种间变异性和敏感性。使用可用的 IVIVE 衍生的 FEC 与目标途径有助于为具有相似作用模式的化学物质开发预测无效应浓度,并支持筛选水平的生态风险评估。