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基于高分辨率代谢组学的部署相关暴露监测

Deployment-Associated Exposure Surveillance With High-Resolution Metabolomics.

作者信息

Walker Douglas I, Mallon Col Timothy M, Hopke Philip K, Uppal Karan, Go Young-Mi, Rohrbeck Patricia, Pennell Kurt D, Jones Dean P

机构信息

Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Emory University, Atlanta, Georgia (Mr Walker, Drs Uppal, Go, Jones); Department of Civil and Environmental Engineering, Tufts University, Medford, Massachusetts (Mr Walker, Dr Pennell); Professor, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD 20814 (Dr Mallon); Center for Air Resources Engineering and Science, Clarkson University, Potsdam, New York (Dr Hopke); and 779th Aerospace Medicine Squadron, 79th Medical Wing, Joint Base Andrews, MD (Dr Rohrbeck).

出版信息

J Occup Environ Med. 2016 Aug;58(8 Suppl 1):S12-21. doi: 10.1097/JOM.0000000000000768.

DOI:10.1097/JOM.0000000000000768
PMID:27501099
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4978191/
Abstract

OBJECTIVE

The aim of this study was to assess the suitability of high-resolution metabolomics (HRM) for measure of internal exposure and effect biomarkers from deployment-related environmental hazards.

METHODS

HRM provides extensive coverage of metabolism and data relevant to a broad spectrum of environmental exposures. This review briefly describes the analytic platform, workflow, and recent applications of HRM as a prototype environmental exposure surveillance system.

RESULTS

Building upon techniques available for contemporary occupational medicine and exposure sciences, HRM methods are able to integrate external exposures, internal body burden of environmental agents, and relevant biological responses with health outcomes.

CONCLUSIONS

Systematic analysis of existing Department of Defense Serum Repository samples will provide a high-quality, cross-sectional reference dataset for deployment-associated exposures while at the same time establishing a foundation for precision medicine.

摘要

目的

本研究的目的是评估高分辨率代谢组学（HRM）用于测量与部署相关的环境危害所导致的体内暴露和效应生物标志物的适用性。

方法

HRM可广泛涵盖代谢情况以及与广泛环境暴露相关的数据。本综述简要描述了作为原型环境暴露监测系统的HRM的分析平台、工作流程和近期应用。

结果

基于当代职业医学和暴露科学可用的技术，HRM方法能够将外部暴露、环境因子的体内负荷以及相关生物反应与健康结果整合起来。

结论

对美国国防部血清储存库现有样本进行系统分析，将为与部署相关的暴露提供一个高质量的横断面参考数据集，同时为精准医学奠定基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf63/4978191/02e811a29a41/nihms779562f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf63/4978191/f5d2828840c3/nihms779562f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf63/4978191/57b1f82a26fa/nihms779562f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf63/4978191/7bf417071f78/nihms779562f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf63/4978191/63abd8662787/nihms779562f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf63/4978191/231e72f82306/nihms779562f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf63/4978191/b8eca7518f71/nihms779562f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf63/4978191/02e811a29a41/nihms779562f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf63/4978191/f5d2828840c3/nihms779562f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf63/4978191/57b1f82a26fa/nihms779562f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf63/4978191/7bf417071f78/nihms779562f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf63/4978191/63abd8662787/nihms779562f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf63/4978191/231e72f82306/nihms779562f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf63/4978191/b8eca7518f71/nihms779562f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf63/4978191/02e811a29a41/nihms779562f7.jpg

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