风险评估
不良结局途径
毒物动力学
风险分析(工程)
基于生理学的药代动力学模型
生化工程
暴露评估
人类健康
生物监测
计算机科学
危害
危害分析
计算生物学
工程类
生物
环境卫生
生物信息学
医学
可靠性工程
生态学
药代动力学
计算机安全
作者
Elena Reale,Maryam Zare Jeddi,Alicia Paini,Alison Connolly,Radu Corneliu Duca,Francesco Cubadda,Emilio Benfenati,Jos Bessems,Karen S. Galea,Hubert Dirven,Tiina Santonen,Holger M. Koch,Kate Jones,Craig Sams,Susana Viegas,Machera Kyriaki,Luca Campisi,Arthur David,Jean‐Philippe Antignac,Nancy B. Hopf
标识
DOI:10.1016/j.envint.2024.108474
摘要
Human health risk assessment is historically built upon animal testing, often following Organisation for Economic Co-operation and Development (OECD) test guidelines and exposure assessments. Using combinations of human relevant in vitro models, chemical analysis and computational (in silico) approaches bring advantages compared to animal studies. These include a greater focus on the human species and on molecular mechanisms and kinetics, identification of Adverse Outcome Pathways and downstream Key Events as well as the possibility of addressing susceptible populations and additional endpoints. Much of the advancement and progress made in the Next Generation Risk Assessment (NGRA) have been primarily focused on new approach methodologies (NAMs) and physiologically based kinetic (PBK) modelling without incorporating human biomonitoring (HBM). The integration of toxicokinetics (TK) and PBK modelling is an essential component of NGRA. PBK models are essential for describing in quantitative terms the TK processes with a focus on the effective dose at the expected target site. Furthermore, the need for PBK models is amplified by the increasing scientific and regulatory interest in aggregate and cumulative exposure as well as interactions of chemicals in mixtures. Since incorporating HBM data strengthens approaches and reduces uncertainties in risk assessment, here we elaborate on the integrated use of TK, PBK modelling and HBM in chemical risk assessment highlighting opportunities as well as challenges and limitations. Examples are provided where HBM and TK/PBK modelling can be used in both exposure assessment and hazard characterization shifting from external exposure and animal dose/response assays to animal-free, internal exposure-based NGRA.
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