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DNA 损伤生物标志物反应的基准剂量分析为拓扑异构酶 II 抑制剂类化合物提供了化合物效力和不良结局途径信息。

Benchmark Dose Analysis of DNA Damage Biomarker Responses Provides Compound Potency and Adverse Outcome Pathway Information for the Topoisomerase II Inhibitor Class of Compounds.

机构信息

Institute of Life Science, Swansea University Medical School, Swansea University, Wales, United Kingdom.

Litron Laboratories, Rochester, New York.

出版信息

Environ Mol Mutagen. 2020 Apr;61(4):396-407. doi: 10.1002/em.22360. Epub 2020 Feb 10.

Abstract

Genetic toxicology data have traditionally been utilized for hazard identification to provide a binary call for a compound's risk. Recent advances in the scientific field, especially with the development of high-throughput methods to quantify DNA damage, have influenced a change of approach in genotoxicity assessment. The in vitro MultiFlow® DNA Damage Assay is one such method which multiplexes γH2AX, p53, phospho-histone H3 biomarkers into a single-flow cytometric analysis (Bryce et al., [2016]: Environ Mol Mutagen 57:546-558). This assay was used to study human TK6 cells exposed to each of eight topoisomerase II poisons for 4 and 24 hr. Using PROAST v65.5, the Benchmark Dose approach was applied to the resulting flow cytometric datasets. With "compound" serving as covariate, all eight compounds were combined into a single analysis, per time point and endpoint. The resulting 90% confidence intervals, plotted in Log scale, were considered as the potency rank for the eight compounds. The in vitro MultiFlow data showed a maximum confidence interval span of 1Log, which indicates data of good quality. Patterns observed in the compound potency rank were scrutinized by using the expert rule-based software program Derek Nexus, developed by Lhasa Limited. Compound sub-classification and structural alerts were considered contributory to the potencies observed for the topoisomerase II poisons studied herein. The Topo II poison Adverse Outcome Pathway was evaluated with MultiFlow endpoints serving as Key Events. The step-wise approach described herein can be considered as a foundation for risk assessment of compounds within a specific mode of action of interest. Environ. Mol. Mutagen. 2020. © 2020 Wiley Periodicals, Inc.

摘要

遗传毒理学数据传统上被用于危害识别,为化合物的风险提供二元判断。近年来,科学领域的进展,特别是高通量方法在量化 DNA 损伤方面的发展,影响了遗传毒性评估方法的改变。MultiFlow® 体外 DNA 损伤检测就是这样一种方法,它将 γH2AX、p53、磷酸化组蛋白 H3 生物标志物多路复用成单个流式细胞分析(Bryce 等人,[2016]:环境分子突变 57:546-558)。该检测用于研究人类 TK6 细胞暴露于八种拓扑异构酶 II 毒药 4 和 24 小时。使用 PROAST v65.5,应用基准剂量方法对得到的流式细胞数据集进行分析。以“化合物”为协变量,每个时间点和终点将八种化合物组合到单个分析中。结果的 90%置信区间以对数标度绘制,被认为是八种化合物的效力等级。体外 MultiFlow 数据显示最大置信区间跨度为 1Log,表明数据质量良好。通过使用由 Lhasa Limited 开发的基于专家规则的软件程序 Derek Nexus 仔细研究化合物效力等级中的模式。化合物亚类和结构警报被认为是对所研究的拓扑异构酶 II 毒药观察到的效力有贡献的因素。拓扑异构酶 II 毒药不良结局途径用 MultiFlow 终点作为关键事件进行评估。本文所述的逐步方法可被视为对特定作用模式的化合物进行风险评估的基础。环境分子突变。2020. © 2020 Wiley Periodicals, Inc.

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