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彗星试验作为人类生物监测研究的工具:ComNet 项目。

The comet assay as a tool for human biomonitoring studies: the ComNet project.

机构信息

Department of Nutrition, University of Oslo, Oslo, Norway.

Department of Environmental Toxicology, Flemish Institute of Technological Research (VITO) Mol, Belgium.

出版信息

Mutat Res Rev Mutat Res. 2014 Jan-Mar;759:27-39. doi: 10.1016/j.mrrev.2013.10.001. Epub 2013 Oct 31.

Abstract

The comet assay is widely used in human biomonitoring to measure DNA damage as a marker of exposure to genotoxic agents or to investigate genoprotective effects. Studies often involve small numbers of subjects, and design may be sub-optimal in other respects. In addition, comet assay protocols in use in different laboratories vary significantly. In spite of these difficulties, it is appropriate to carry out a pooled analysis of all available comet assay biomonitoring data, in order to establish baseline parameters of DNA damage, and to investigate associations between comet assay measurements and factors such as sex, age, smoking status, nutrition, lifestyle, etc. With this as its major objective, the ComNet project has recruited almost 100 research groups willing to share datasets. Here we provide a background to this project, discussing the history of the comet assay and practical issues that can critically affect its performance. We survey its diverse applications in biomonitoring studies, including environmental and occupational exposure to genotoxic agents, genoprotection by dietary and other factors, DNA damage associated with various diseases, and intrinsic factors that affect DNA damage levels in humans. We examine in depth the quality of data from a random selection of studies, from an epidemiological and statistical point of view.

摘要

彗星试验广泛应用于人体生物监测,以测量 DNA 损伤作为暴露于遗传毒性剂的标志物,或研究遗传保护作用。研究通常涉及少量的对象,并且在其他方面设计可能不理想。此外,不同实验室使用的彗星试验方案差异很大。尽管存在这些困难,但对所有可用的彗星试验生物监测数据进行汇总分析是合适的,以便建立 DNA 损伤的基线参数,并研究彗星试验测量值与性别、年龄、吸烟状况、营养、生活方式等因素之间的关联。ComNet 项目以这一主要目标为基础,已经招募了近 100 个愿意共享数据集的研究小组。在这里,我们提供了该项目的背景,讨论了彗星试验的历史以及可能严重影响其性能的实际问题。我们调查了它在生物监测研究中的多种应用,包括环境和职业接触遗传毒性剂、膳食和其他因素的遗传保护、与各种疾病相关的 DNA 损伤以及影响人类 DNA 损伤水平的内在因素。我们从流行病学和统计学的角度深入研究了随机选择研究的数据集的质量。

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