通过结合肠道毒动力学来完善高吞吐量在体外-体内抽取模型的模型
Evgenia Korol-Bexell1, Anna S Jarnagin1, Amanda Brennan2
1Oak Ridge Institute for Science and Education, Oak Ridge, TN, 37830, USA.
概括
新方法方法 (NAMs) 通过结合高通量毒性和毒动力学数据来改善化学品安全评估. 这项研究通过包括肠道新陈代谢来完善模型,从而更准确地预测人类等效剂量,以便更安全地进行化学评估.
科学领域:
- 毒理学 毒理学 毒理学
- 药理动力学 药理动力学
- 计算化学的计算化学
背景情况:
- 新方法方法 (NAM) 对于评估许多商业化学品至关重要.
- 当前的高通量毒动力学 (HTTK) 模型经常使用保守的假设,比如仅肝脏代谢.
- 这导致与体内数据相比,人体等效剂量估计过高 (10-100倍).
研究的目的:
- 评估将肠道新陈代谢纳入HTTK模型的影响.
- 量化CYP3A4对肠道清除的贡献.
- 为了更准确地进行化学风险评估,改进体外-体内抽取 (IVIVE) 过程.
主要方法:
- 在人类肝脏和肠道显微体中测量了11种化学物质的内在清除率.
- 使用CYP3A4抑制来确定其对清除的相对贡献.
- 使用Simcyp模拟器进行了基于生理学的毒动力学 (PBTK) 模拟.
主要成果:
- 在所有测试化学品中,CYP3A4对肠道清除的贡献从0%到71%不等.
- 纳入CYP3A4显著影响了口服生物利用率和脱离肠道新陈代谢的部分.
- 改进后的模型显示了PODNAM的增加,这表明预测准确度有所提高.
结论:
- 包括肠道新陈代谢,特别是CYP3A4活性,完善了HTTK模型.
- 这种方法提高了NAM用于化学风险优先级的预测能力.
- 更准确的PODNAM可以促进更好的化学安全监管决策.
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