Establishing a quantitative framework for regulatory interpretation of genetic toxicity dose–response data: Margin of exposure case study of 48 compounds with both in vivo mutagenicity and carcinogenicity dose–response data

IF 2.3 4区 医学 Q3 ENVIRONMENTAL SCIENCES Environmental and Molecular Mutagenesis Pub Date : 2022-11-08 DOI:10.1002/em.22517
Nikolai Chepelev, Alexandra S. Long, Marc Beal, Tara Barton-Maclaren, George Johnson, Kerry L. Dearfield, Daniel J. Roberts, Jan van Benthem, Paul White
{"title":"Establishing a quantitative framework for regulatory interpretation of genetic toxicity dose–response data: Margin of exposure case study of 48 compounds with both in vivo mutagenicity and carcinogenicity dose–response data","authors":"Nikolai Chepelev,&nbsp;Alexandra S. Long,&nbsp;Marc Beal,&nbsp;Tara Barton-Maclaren,&nbsp;George Johnson,&nbsp;Kerry L. Dearfield,&nbsp;Daniel J. Roberts,&nbsp;Jan van Benthem,&nbsp;Paul White","doi":"10.1002/em.22517","DOIUrl":null,"url":null,"abstract":"<p>Quantitative relationships between carcinogenic potency and mutagenic potency have been previously examined using a benchmark dose (BMD)-based approach. We extended those analyses by using human exposure data for 48 compounds to calculate carcinogenicity-derived and genotoxicity-derived margin of exposure values (MOEs) that can be used to prioritize substances for risk management. MOEs for 16 of the 48 compounds were below 10,000, and consequently highlighted for regulatory concern. Of these, 15 were highlighted using genotoxicity-derived (micronucleus [MN] dose–response data) MOEs. A total of 13 compounds were highlighted using carcinogenicity-derived MOEs; 12 compounds were overlapping. MOEs were also calculated using transgenic rodent (TGR) mutagenicity data. For 10 of the 12 compounds examined using TGR data, the results similarly revealed that mutagenicity-derived MOEs yield regulatory decisions that correspond with those based on carcinogenicity-derived MOEs. The effect of benchmark response (BMR) on MOE determination was also examined. Reinterpretation of the analyses using a BMR of 50% indicated that four out of 15 compounds prioritized using MN-derived MOEs based on a default BMR of 5% would have been missed. The results indicate that regulatory decisions based on in vivo genotoxicity dose–response data would be consistent with those based on carcinogenicity dose–response data; in some cases, genotoxicity-based decisions would be more conservative. Going forward, and in the absence of carcinogenicity data, in vivo genotoxicity assays (MN and TGR) can be used to effectively prioritize substances for regulatory action. Routine use of the MOE approach necessitates the availability of reliable human exposure estimates, and consensus regarding appropriate BMRs for genotoxicity endpoints.</p>","PeriodicalId":11791,"journal":{"name":"Environmental and Molecular Mutagenesis","volume":"64 1","pages":"4-15"},"PeriodicalIF":2.3000,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/da/0e/EM-64-4.PMC10107494.pdf","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental and Molecular Mutagenesis","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/em.22517","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 4

Abstract

Quantitative relationships between carcinogenic potency and mutagenic potency have been previously examined using a benchmark dose (BMD)-based approach. We extended those analyses by using human exposure data for 48 compounds to calculate carcinogenicity-derived and genotoxicity-derived margin of exposure values (MOEs) that can be used to prioritize substances for risk management. MOEs for 16 of the 48 compounds were below 10,000, and consequently highlighted for regulatory concern. Of these, 15 were highlighted using genotoxicity-derived (micronucleus [MN] dose–response data) MOEs. A total of 13 compounds were highlighted using carcinogenicity-derived MOEs; 12 compounds were overlapping. MOEs were also calculated using transgenic rodent (TGR) mutagenicity data. For 10 of the 12 compounds examined using TGR data, the results similarly revealed that mutagenicity-derived MOEs yield regulatory decisions that correspond with those based on carcinogenicity-derived MOEs. The effect of benchmark response (BMR) on MOE determination was also examined. Reinterpretation of the analyses using a BMR of 50% indicated that four out of 15 compounds prioritized using MN-derived MOEs based on a default BMR of 5% would have been missed. The results indicate that regulatory decisions based on in vivo genotoxicity dose–response data would be consistent with those based on carcinogenicity dose–response data; in some cases, genotoxicity-based decisions would be more conservative. Going forward, and in the absence of carcinogenicity data, in vivo genotoxicity assays (MN and TGR) can be used to effectively prioritize substances for regulatory action. Routine use of the MOE approach necessitates the availability of reliable human exposure estimates, and consensus regarding appropriate BMRs for genotoxicity endpoints.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
为遗传毒性剂量反应数据的监管解释建立定量框架:48种具有体内诱变性和致癌性剂量反应数据的化合物的暴露边际案例研究
致癌效力和致突变效力之间的定量关系以前已经使用基准剂量(BMD)为基础的方法进行了研究。我们通过使用48种化合物的人类暴露数据来扩展这些分析,以计算致癌衍生和遗传毒性衍生的暴露值边际(MOEs),可用于优先考虑风险管理的物质。48种化合物中有16种的moe低于10,000,因此受到监管部门的关注。其中,有15个是用基因毒性衍生的(微核[MN]剂量反应数据)MOEs来强调的。使用致癌性MOEs,共有13种化合物被突出显示;12个化合物重叠。利用转基因啮齿动物(TGR)致突变性数据计算MOEs。对于使用TGR数据检测的12种化合物中的10种,结果类似地显示突变性衍生MOEs产生的监管决策与基于致癌性衍生MOEs的监管决策相对应。还考察了基准反应(BMR)对MOE测定的影响。使用50%的BMR重新解释分析表明,基于默认BMR为5%的mn衍生MOEs优先考虑的15种化合物中有4种会被遗漏。结果表明,基于体内遗传毒性剂量-反应数据的监管决策将与基于致癌性剂量-反应数据的监管决策一致;在某些情况下,基于基因毒性的决定会更加保守。展望未来,在缺乏致癌性数据的情况下,体内遗传毒性试验(MN和TGR)可用于有效地优先考虑物质的监管行动。常规使用MOE方法需要获得可靠的人体暴露估计,并就遗传毒性终点的适当bmr达成共识。
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 去求助
来源期刊
CiteScore
5.40
自引率
10.70%
发文量
52
审稿时长
12-24 weeks
期刊介绍: Environmental and Molecular Mutagenesis publishes original research manuscripts, reviews and commentaries on topics related to six general areas, with an emphasis on subject matter most suited for the readership of EMM as outlined below. The journal is intended for investigators in fields such as molecular biology, biochemistry, microbiology, genetics and epigenetics, genomics and epigenomics, cancer research, neurobiology, heritable mutation, radiation biology, toxicology, and molecular & environmental epidemiology.
期刊最新文献
Assessing the impact of different solvents in the bacterial reverse mutation test. Consensus findings of an International Workshops on Genotoxicity Testing workshop on using transcriptomic biomarkers to predict genotoxicity. Machine learning enhances genotoxicity assessment using MultiFlow® DNA damage assay. Genetic instability of a single exposure to sevoflurane at different concentrations in monitored mice. Outcome of IWGT workshop on transcriptomic biomarkers for genotoxicity: Key considerations for bioinformatics.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1