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Influence of systems biology response and environmental exposure level on between-subject variability in breath and blood biomarkers

机译:系统生物学反应和环境暴露水平对呼吸和血液生物标志物受试者间变异性的影响

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To explain the underlying causes of apparently stochastic disease, current research is focusing on systems biology approaches wherein individual genetic makeup and specific 'gene-environment' interactions are considered. This is an extraordinarily complex task because both the environmental exposure profiles and the specific genetic susceptibilities presumably have large variance components. In this article, the focus is on the initial steps along the path to disease outcome namely environmental uptake, biologically available dose, and preclinical effect. The general approach is to articulate a conceptual model and identify biomarker measurements that could populate the model with hard data. Between-subject variance components from different exposure studies are used to estimate the source and magnitude of the variability of biomarker measurements. The intent is to determine the relative effects of different biological media (breath or blood), environmental compounds and their metabolites, different concentration levels, and levels of environmental exposure control. Examples are drawn from three distinct exposure biomarker studies performed by the US Environmental Protection Agency that studied aliphatic and aromatic hydrocarbons, trichloroethylene and methyl tertiary butyl ether. All results are based on empirical biomarker measurements of breath and blood from human subjects; biological specimens were collected under appropriate Institutional Review Board protocols with informed consent of the subjects. The ultimate goal of this work is to develop a framework for eventually assessing the total susceptibility ranges along the toxicological pathway from exposure to effect. The investigation showed that exposures are a greater contributor to biomarker variance than are internal biological parameters.
机译:为了解释表面随机疾病的根本原因,当前的研究集中在系统生物学方法上,其中考虑了个体的遗传组成和特定的“基因-环境”相互作用。这是一个非常复杂的任务,因为环境暴露概况和特定遗传敏感性都可能具有较大的方差成分。在本文中,重点是疾病结果途径的初始步骤,即环境吸收,生物学上可用的剂量和临床前效果。通用方法是阐明概念模型并确定可以用硬数据填充模型的生物标志物测量值。来自不同暴露研究的受试者之间方差成分用于估计生物标志物测量值变异性的来源和大小。目的是确定不同生物介质(呼吸或血液),环境化合物及其代谢产物,不同浓度水平和环境暴露控制水平的相对影响。实例来自美国环境保护署进行的三项不同的暴露生物标志物研究,该研究对脂族和芳族烃,三氯乙烯和甲基叔丁基醚进行了研究。所有结果均基于对人类受试者的呼吸和血液的经验生物标记测量;在受试者的知情同意下,根据适当的机构审查委员会规程收集生物学标本。这项工作的最终目的是建立一个框架,以最终评估从暴露到影响的整个毒理学途径的总敏感性范围。调查显示,与内部生物学参数相比,暴露对生物标记差异的贡献更大。

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