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外核组学有哪些新进展?

What is new in the exposome?

机构信息

MRC Centre for Environment and Health, School of Public Health, Imperial College London, Norfolk Place, W2 1PG London, UK; Italian Institute of Technology, Genova, Italy.

MRC Centre for Environment and Health, School of Public Health, Imperial College London, Norfolk Place, W2 1PG London, UK.

出版信息

Environ Int. 2020 Oct;143:105887. doi: 10.1016/j.envint.2020.105887. Epub 2020 Jun 30.

Abstract

The exposome concept refers to the totality of exposures from a variety of external and internal sources including chemical agents, biological agents, or radiation, from conception onward, over a complete lifetime. It encompasses also "psychosocial components" including the impact of social relations and socio-economic position on health. In this review we provide examples of recent contributions from exposome research, where we believe their application will be of the greatest value for moving forward. So far, environmental epidemiology has mainly focused on hard outcomes, such as mortality, disease exacerbation and hospitalizations. However, there are many subtle outcomes that can be related to environmental exposures, and investigations can be facilitated by an improved understanding of internal biomarkers of exposure and response, through the application of omic technologies. Second, though we have a wealth of studies on environmental pollutants, the assessment of causality is often difficult because of confounding, reverse causation and other uncertainties. Biomarkers and omic technologies may allow better causal attribution, for example using instrumental variables in triangulation, as we discuss here. Even more complex is the understanding of how social relationships (in particular socio-economic differences) influence health and imprint on the fundamental biology of the individual. The identification of molecular changes that are intermediate between social determinants and disease status is a way to fill the gap. Another field in which biomarkers and omics are relevant is the study of mixtures. Epidemiology often deals with complex mixtures (e.g. ambient air pollution, food, smoking) without fully disentangling the compositional complexity of the mixture, or with rudimentary approaches to reflect the overall effect of multiple exposures or components. From the point of view of disease mechanisms, most models hypothesize that several stages need to be transitioned through health to the induction of disease, but very little is known about the characteristics and temporal sequence of such stages. Exposome models reinforce the idea of a biography-to-biology transition, in that everyone's disease is the product of the individual history of exposures, superimposed on their underlying genetic susceptibilities. Finally, exposome research is facilitated by technological developments that complement traditional epidemiological study designs. We describe in depth one such new tools, adductomics. In general, the development of high-resolution and high-throughput technologies interrogating multiple -omics (such as epigenomics, transcriptomics, proteomics, adductomics and metabolomics) yields an unprecedented perspective into the impact of the environment in its widest sense on disease. The world of the exposome is rapidly evolving, though a huge gap still needs to be filled between the original expectations and the concrete achievements. Perhaps the most urgent need is for the establishment of a new generation of cohort studies with appropriately specified biosample collection, improved questionnaire data (including social variables), and the deployment of novel technologies that allow better characterization of individual environmental exposures, ranging from personal monitoring to satellite based observations.

摘要

暴露组学的概念是指从各种外部和内部来源(包括化学物质、生物制剂或辐射)获得的暴露总和,从受孕开始,贯穿整个生命周期。它还包括“社会心理成分”,包括社会关系和社会经济地位对健康的影响。在这篇综述中,我们提供了暴露组学研究的最新贡献的例子,我们相信这些应用将对推动研究向前发展具有最大的价值。到目前为止,环境流行病学主要侧重于硬终点,如死亡率、疾病恶化和住院治疗。然而,有许多微妙的结果可以与环境暴露有关,通过应用组学技术,可以更好地了解内部暴露和反应的生物标志物,从而促进研究。其次,尽管我们有大量关于环境污染物的研究,但由于混杂、反向因果关系和其他不确定性,因果关系的评估往往很困难。生物标志物和组学技术可以更好地归因因果关系,例如,我们在这里讨论的使用工具变量进行三角测量。更复杂的是理解社会关系(特别是社会经济差异)如何影响健康,并对个体的基本生物学产生影响。识别处于社会决定因素和疾病状态之间的分子变化是填补这一空白的一种方式。生物标志物和组学相关的另一个领域是混合物的研究。流行病学通常处理复杂的混合物(例如,环境空气污染、食物、吸烟),而没有完全分解混合物的组成复杂性,或者只是采用基本方法来反映多种暴露或成分的综合影响。从疾病机制的角度来看,大多数模型假设需要通过健康过渡到疾病诱导的几个阶段,但对于这些阶段的特征和时间顺序知之甚少。暴露组学模型强化了从传记学到生物学的转变理念,即每个人的疾病都是个人暴露史的产物,叠加在其潜在的遗传易感性之上。最后,暴露组学研究得益于补充传统流行病学研究设计的技术发展。我们详细描述了一种新工具,加合物组学。总的来说,高分辨率和高通量技术对多种组学(如表观基因组学、转录组学、蛋白质组学、加合物组学和代谢组学)的研究取得了前所未有的进展,使我们能够更全面地了解环境对疾病的影响。暴露组学的世界发展迅速,但在最初的期望和具体的成果之间仍存在巨大的差距。也许最迫切的需要是建立新一代具有适当指定生物样本采集、改进问卷调查数据(包括社会变量)的队列研究,并部署允许更好地描述个人环境暴露的新型技术,范围从个人监测到卫星观测。

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