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将组学方法整合到基于人群的产前和生命早期暴露的人类研究中。

Integrating -Omics Approaches into Human Population-Based Studies of Prenatal and Early-Life Exposures.

机构信息

Departments of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Road, Claudia Nance Rollins Room 2021, Atlanta, GA, 30322, USA.

Departments of Environmental Health and Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Claudia Nance Rollins Room 2021, Atlanta, GA, 30322, USA.

出版信息

Curr Environ Health Rep. 2018 Sep;5(3):328-337. doi: 10.1007/s40572-018-0204-1.

Abstract

PURPOSE OF REVIEW

We present the study design and methodological suggestions for population-based studies that integrate molecular -omics data and highlight recent studies that have used such data to examine the potential impacts of prenatal environmental exposures on fetal health.

RECENT FINDINGS

Epidemiologic studies have observed numerous relationships between prenatal exposures (smoking, toxic metals, endocrine disruptors) and fetal and early-life molecular profiles, though such investigations have so far been dominated by epigenomic association studies. However, recent transcriptomic, proteomic, and metabolomic studies have demonstrated their promise for the identification of exposure and response biomarkers. Molecular -omics have opened new avenues of research in environmental health that can improve our understanding of disease etiology and contribute to the development of exposure and response biomarkers. Studies that incorporate multiple -omics data from different molecular domains in longitudinally collected samples hold particular promise.

摘要

目的综述

我们提出了将分子组学数据整合到基于人群的研究中的研究设计和方法学建议,并强调了最近使用此类数据来研究产前环境暴露对胎儿健康的潜在影响的研究。

最近的发现

流行病学研究已经观察到许多产前暴露(吸烟、有毒金属、内分泌干扰物)与胎儿和生命早期的分子特征之间的关系,尽管此类研究迄今为止主要以表观基因组关联研究为主。然而,最近的转录组学、蛋白质组学和代谢组学研究表明它们在识别暴露和反应生物标志物方面具有潜力。分子组学为环境健康研究开辟了新的途径,可以增进我们对疾病病因的理解,并有助于开发暴露和反应生物标志物。在纵向收集的样本中整合来自不同分子领域的多种组学数据的研究具有特别大的前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2baf/6187081/c550e5930add/nihms-990417-f0001.jpg

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