加权
同族
贝叶斯概率
化学
多氯代二苯并呋喃
统计
毒理
环境化学
数学
生物
医学
放射科
作者
Michael J. DeVito,Bas Bokkers,Majorie B.M. van Duursen,Karin van Ede,Mark Feeley,Elsa Antunes Fernandes Gáspár,Laurie C. Haws,Sean W. Kennedy,Richard E. Peterson,L.A.P. Hoogenboom,Keiko Nohara,Karin Dam Petersen,Cynthia V. Rider,Martin Rose,Stephen Safe,Dieter Schrenk,Marcia A. Wheeler,Daniele Wikoff,Bin Zhao,Martin van den Berg
标识
DOI:10.1016/j.yrtph.2023.105525
摘要
In October 2022, the World Health Organization (WHO) convened an expert panel in Lisbon, Portugal in which the 2005 WHO TEFs for chlorinated dioxin-like compounds were reevaluated. In contrast to earlier panels that employed expert judgement and consensus-based assignment of TEF values, the present effort employed an update to the 2006 REP database, a consensus-based weighting scheme, a Bayesian dose response modeling and meta-analysis to derive “Best-Estimate” TEFs. The updated database contains almost double the number of datasets from the earlier version and includes metadata that informs the weighting scheme. The Bayesian analysis of this dataset results in an unbiased quantitative assessment of the congener-specific potencies with uncertainty estimates. The “Best-Estimate” TEF derived from the model was used to assign 2022 WHO-TEFs for almost all congeners and these values were not rounded to half-logs as was done previously. The exception was for the mono-ortho PCBs, for which the panel agreed to retain their 2005 WHO-TEFs due to limited and heterogenous data available for these compounds. Applying these new TEFs to a limited set of dioxin-like chemical concentrations measured in human milk and seafood indicates that the total toxic equivalents will tend to be lower than when using the 2005 TEFs.
科研通智能强力驱动
Strongly Powered by AbleSci AI