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[生物监测在暴露组评估中的应用]

[Biomonitoring application in the exposome assessment].

作者信息

Hu G P, Chen Z J, Tang S C, Jia G

机构信息

Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China.

出版信息

Zhonghua Yu Fang Yi Xue Za Zhi. 2018 Feb 6;52(2):201-205. doi: 10.3760/cma.j.issn.0253-9624.2018.02.017.

DOI:10.3760/cma.j.issn.0253-9624.2018.02.017
PMID:29429279
Abstract

Biomonitoring can be applied to assess internal exposure and environmental exposure by exposure markers with providing internal exposure to biological characterization and individual exposure information, which is a key tool to evaluate the risk exposure to disease by biological alternation information. With the development of high throughput, broad spectrum and high efficiency screening and detection technology, biomonitoring is defined as traditional biological monitoring (targeted monitoring) and non targeted monitoring analysis (exposomic approaches). An exposomic approach differs from traditional biomonitoring in that it can theoretically include all exposures of potential health significance, whether they are derived from exogenous sources. Both traditional and nontraditional biomonitoring methods should be used to understand the complexity of exposures faced throughout the lifespan. Through hybrid approaches, emerging techniques and the integration of bioinformatics, and developing the detection methods for low abundance chemicals, improving the differentiation ability between endogenous and exogenous chemical, the health outcomes and exposures can be widely recognized and characterized, which can finally contribute to improving the precise prevention and intervention for diseases under the new exposomic model.

摘要

生物监测可通过暴露标志物用于评估体内暴露和环境暴露,提供体内暴露的生物学特征和个体暴露信息,这是通过生物学改变信息评估疾病风险暴露的关键工具。随着高通量、广谱和高效筛选检测技术的发展,生物监测被定义为传统生物监测(靶向监测)和非靶向监测分析(暴露组学方法)。暴露组学方法与传统生物监测的不同之处在于,理论上它可以包括所有具有潜在健康意义的暴露,无论其来源是外源性的。应同时使用传统和非传统生物监测方法,以了解整个生命周期中所面临暴露的复杂性。通过混合方法、新兴技术以及生物信息学的整合,开发低丰度化学物质的检测方法,提高对内源性和外源性化学物质的区分能力,健康结果和暴露情况能够得到广泛识别和表征,最终有助于在新的暴露组学模型下改善疾病的精准预防和干预。

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