DNA adducts: biological markers of exposure and potential applications to risk assessment

David K. La, James A. Swenberg
{"title":"DNA adducts: biological markers of exposure and potential applications to risk assessment","authors":"David K. La,&nbsp;James A. Swenberg","doi":"10.1016/S0165-1110(96)90017-2","DOIUrl":null,"url":null,"abstract":"<div><p>DNA adducts have been investigated extensively during the past decade. This research has been advanced, in part, by the development of ultrasensitive analytical methods, such as <sup>32</sup>P-postlabeling and mass spectrometry, that enable detection of DNA adducts at concentrations as low as one adduct per 10<sup>9</sup> to 10<sup>10</sup> normal nucleotides. Studies of mutations in activated oncogenes such as <em>ras</em>, inactivated tumor suppressor genes such as <em>p53</em>, and surrogate genes such as <em>hprt</em> provide linkage between DNA adducts and carcinogenesis. The measurement of DNA adducts, or molecular dosimetry, has important applications for cancer risk assessment. Cancer risk assessment currently involves estimating the probable effects of carcinogens in humans based on results of animal bioassays. Estimates of risk are then derived from mathematical models that fit data of tumor incidence at the high animal exposures and extrapolate to probable human exposures that may be orders of magnitude lower. Molecular dosimetry could extend the observable range of mechanistic data several orders of magnitude lower than can be achieved in carcinogenesis bioassays. This measurement also compensates automatically for individual and species differences in toxicokinetic factors, as well as any nonlinearities that affect the quantitative relationships between exposure and molecular dose. As a result, molecular dosimetry can provide a basis for conducting high- to low-dose, route-to-route, and interspecies extrapolations. The incorporation of such data into risk assessment promises to reduce uncertainties and produce more accurate estimates of risk compared to current methods.</p></div>","PeriodicalId":100940,"journal":{"name":"Mutation Research/Reviews in Genetic Toxicology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0165-1110(96)90017-2","citationCount":"137","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mutation Research/Reviews in Genetic Toxicology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165111096900172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 137

Abstract

DNA adducts have been investigated extensively during the past decade. This research has been advanced, in part, by the development of ultrasensitive analytical methods, such as 32P-postlabeling and mass spectrometry, that enable detection of DNA adducts at concentrations as low as one adduct per 109 to 1010 normal nucleotides. Studies of mutations in activated oncogenes such as ras, inactivated tumor suppressor genes such as p53, and surrogate genes such as hprt provide linkage between DNA adducts and carcinogenesis. The measurement of DNA adducts, or molecular dosimetry, has important applications for cancer risk assessment. Cancer risk assessment currently involves estimating the probable effects of carcinogens in humans based on results of animal bioassays. Estimates of risk are then derived from mathematical models that fit data of tumor incidence at the high animal exposures and extrapolate to probable human exposures that may be orders of magnitude lower. Molecular dosimetry could extend the observable range of mechanistic data several orders of magnitude lower than can be achieved in carcinogenesis bioassays. This measurement also compensates automatically for individual and species differences in toxicokinetic factors, as well as any nonlinearities that affect the quantitative relationships between exposure and molecular dose. As a result, molecular dosimetry can provide a basis for conducting high- to low-dose, route-to-route, and interspecies extrapolations. The incorporation of such data into risk assessment promises to reduce uncertainties and produce more accurate estimates of risk compared to current methods.

DNA加合物:暴露的生物学标记及其在风险评估中的潜在应用
DNA加合物在过去的十年中得到了广泛的研究。这项研究的进展,部分是由于超灵敏分析方法的发展,如32p后标记和质谱,可以检测DNA加合物的浓度低至每109到1010个正常核苷酸一个加合物。对活化癌基因(如ras)、灭活肿瘤抑制基因(如p53)和替代基因(如hprt)突变的研究提供了DNA加合物与致癌之间的联系。DNA加合物的测量或分子剂量法在癌症风险评估中有重要的应用。目前的癌症风险评估包括根据动物生物测定的结果估计致癌物对人类的可能影响。然后根据数学模型得出风险估计值,该模型拟合高动物暴露时肿瘤发病率的数据,并推断可能低几个数量级的人类暴露。分子剂量法可以将机制数据的观察范围扩大到比致癌生物测定法低几个数量级的范围。该测量还自动补偿了个体和物种在毒性动力学因素方面的差异,以及影响暴露与分子剂量之间定量关系的任何非线性。因此,分子剂量学可以为进行高剂量到低剂量、路线到路线和种间外推提供基础。与目前的方法相比,将这些数据纳入风险评估有望减少不确定性,并产生更准确的风险估计。
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
自引率
0.00%
发文量
0
×
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:481959085
Book学术官方微信