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A generic avian physiologically-based kinetic (PBK) model and its application in three bird species

体内 科里努斯 生物信息学 可靠性 计算机科学 环境科学 毒理 生物 生态学 鹌鹑 生物技术 政治学 生物化学 基因 法学
作者
Vanessa Baier,Alicia Paini,Stephan Schaller,Colin G. Scanes,Audrey J. Bone,Markus Ebeling,Thomas G. Preuss,Johannes Witt,David Heckmann
出处
期刊:Environment International [Elsevier BV]
卷期号:169: 107547-107547 被引量:1
标识
DOI:10.1016/j.envint.2022.107547
摘要

Physiologically-based kinetic (PBK) models are effective tools for designing toxicological studies and conducting extrapolations to inform hazard characterization in risk assessment by filling data gaps and defining safe levels of chemicals. In the present work, a generic avian PBK model for male and female birds was developed using PK-Sim and MoBi from the Open Systems Pharmacology Suite (OSPS). The PBK model includes an ovulation model (egg development) to predict concentrations of chemicals in eggs from dietary exposure. The model was parametrized for chicken (Gallus gallus), bobwhite quail (Colinus virginianus) and mallard duck (Anas platyrhynchos) and was tested with nine chemicals for which in vivo studies were available. Time-concentration profiles of chemicals reaching tissues and egg compartment were simulated and compared to in vivo data. The overall accuracy of the PBK model predictions across the analyzed chemicals was good. Model simulations were found to be in the range of 22-79% within a 3-fold and 41-89% were within 10- fold deviation of the in vivo observed data. However, for some compounds scarcity of in-vivo data and inconsistencies between published studies allowed only a limited goodness of fit evaluation. The generic avian PBK model was developed following a "best practice" workflow describing how to build a PBK model for novel species. The credibility and reproducibility of the avian PBK models were scored by evaluation according to the available guidance documents from WHO (2010), and OECD (2021), to increase applicability, confidence and acceptance of these in silico models in chemical risk assessment.

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