Applying New Approach Methods for Toxicokinetics for Chemical Risk Assessment.

IF 3.7 3区 医学 Q2 CHEMISTRY, MEDICINAL
John F Wambaugh, Katie Paul Friedman, Marc A Beal, Ivy Moffat, Michael F Hughes, Andy Nong, Jean-Lou C M Dorne, Muhammad Waqar Ashraf, Tara S Barton-Maclaren, Michael DeVito, Stephen S Ferguson, Richard S Judson, Alexandra S Long, Alicia Paini, Stavroula Sampani, Russell S Thomas, Barbara A Wetmore
{"title":"Applying New Approach Methods for Toxicokinetics for Chemical Risk Assessment.","authors":"John F Wambaugh, Katie Paul Friedman, Marc A Beal, Ivy Moffat, Michael F Hughes, Andy Nong, Jean-Lou C M Dorne, Muhammad Waqar Ashraf, Tara S Barton-Maclaren, Michael DeVito, Stephen S Ferguson, Richard S Judson, Alexandra S Long, Alicia Paini, Stavroula Sampani, Russell S Thomas, Barbara A Wetmore","doi":"10.1021/acs.chemrestox.5c00161","DOIUrl":null,"url":null,"abstract":"<p><p>Toxicokinetic (TK) modeling provides critical information linking chemical exposures to tissue concentrations, predicting persistence in the body and determining the route(s) of elimination. Unfortunately, TK data are not available for most chemicals in commerce and the environment. To better understand and address these important information gaps, researchers and regulatory scientists from the international consortium of Accelerating the Pace of Chemical Risk Assessment herein present a flexible framework for characterizing the suitability of TK new approach methods (NAMs) to address chemical risk questions. High throughput toxicokinetics (HTTK) combines chemical-specific in vitro measures of TK with reproducible transparent and open-source TK models. HTTK supports the interpretation of data from in vitro bioactivity NAMs in a public health risk context and enhances the interpretation of biomonitoring data. A tiered framework has been developed focusing on two key aspects: (1) the regulatory decision context and (2) chemical properties and data. Differing levels of certainty are needed for relative risk prioritization, prospective risk assessment, and for protecting susceptible populations. Here HTTK is described with respect to measurement and modeling applications, relevant decision contexts, applicable chemistry, value of information, and certainty of predictions. In some cases, quantitative structure-property relationship (QSPR) models exist as alternatives to measurement and are discussed when they are appropriate. A series of examples applying the decision trees in specific public health scenarios are provided to illustrate that writing short responses, prompted by the decision trees and supported by the discussion and references collected here, may provide defensible written justification for or against the use of HTTK. The framework is intended to serve as a guide to chemical regulators and risk assessors who are interested to know when and where HTTK might be used for public health safety or risk decision making and when further expert guidance is needed.</p>","PeriodicalId":31,"journal":{"name":"Chemical Research in Toxicology","volume":" ","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Research in Toxicology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1021/acs.chemrestox.5c00161","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
引用次数: 0

Abstract

Toxicokinetic (TK) modeling provides critical information linking chemical exposures to tissue concentrations, predicting persistence in the body and determining the route(s) of elimination. Unfortunately, TK data are not available for most chemicals in commerce and the environment. To better understand and address these important information gaps, researchers and regulatory scientists from the international consortium of Accelerating the Pace of Chemical Risk Assessment herein present a flexible framework for characterizing the suitability of TK new approach methods (NAMs) to address chemical risk questions. High throughput toxicokinetics (HTTK) combines chemical-specific in vitro measures of TK with reproducible transparent and open-source TK models. HTTK supports the interpretation of data from in vitro bioactivity NAMs in a public health risk context and enhances the interpretation of biomonitoring data. A tiered framework has been developed focusing on two key aspects: (1) the regulatory decision context and (2) chemical properties and data. Differing levels of certainty are needed for relative risk prioritization, prospective risk assessment, and for protecting susceptible populations. Here HTTK is described with respect to measurement and modeling applications, relevant decision contexts, applicable chemistry, value of information, and certainty of predictions. In some cases, quantitative structure-property relationship (QSPR) models exist as alternatives to measurement and are discussed when they are appropriate. A series of examples applying the decision trees in specific public health scenarios are provided to illustrate that writing short responses, prompted by the decision trees and supported by the discussion and references collected here, may provide defensible written justification for or against the use of HTTK. The framework is intended to serve as a guide to chemical regulators and risk assessors who are interested to know when and where HTTK might be used for public health safety or risk decision making and when further expert guidance is needed.

毒物动力学新方法在化学品风险评估中的应用。
毒物动力学(TK)模型提供了将化学物质暴露与组织浓度联系起来的关键信息,预测了体内的持久性,并确定了消除途径。不幸的是,商业和环境中的大多数化学品都没有传统知识数据。为了更好地理解和解决这些重要的信息缺口,加速化学品风险评估国际联盟的研究人员和监管科学家在此提出了一个灵活的框架,用于表征TK新方法(NAMs)解决化学品风险问题的适用性。高通量毒物动力学(HTTK)将TK的化学特异性体外测量与可重复的透明和开源TK模型相结合。HTTK支持在公共卫生风险背景下解释体外生物活性NAMs数据,并加强对生物监测数据的解释。已经开发了一个分层框架,重点关注两个关键方面:(1)监管决策背景和(2)化学性质和数据。相对风险优先排序、前瞻性风险评估和保护易感人群需要不同程度的确定性。在这里,HTTK描述了测量和建模应用、相关决策上下文、适用化学、信息价值和预测的确定性。在某些情况下,定量结构-属性关系(QSPR)模型作为测量的替代方案存在,并在适当的时候进行讨论。本文提供了一系列在特定公共卫生情景中应用决策树的例子,以说明在决策树的推动下,在本文收集的讨论和参考文献的支持下,撰写简短的答复,可以为支持或反对使用HTTK提供可辩护的书面理由。该框架旨在作为化学品监管机构和风险评估人员的指南,他们有兴趣知道何时何地可以将HTTK用于公共卫生安全或风险决策,以及何时需要进一步的专家指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
7.90
自引率
7.30%
发文量
215
审稿时长
3.5 months
期刊介绍: Chemical Research in Toxicology publishes Articles, Rapid Reports, Chemical Profiles, Reviews, Perspectives, Letters to the Editor, and ToxWatch on a wide range of topics in Toxicology that inform a chemical and molecular understanding and capacity to predict biological outcomes on the basis of structures and processes. The overarching goal of activities reported in the Journal are to provide knowledge and innovative approaches needed to promote intelligent solutions for human safety and ecosystem preservation. The journal emphasizes insight concerning mechanisms of toxicity over phenomenological observations. It upholds rigorous chemical, physical and mathematical standards for characterization and application of modern techniques.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信