Deployment-Associated Exposure Surveillance With High-Resolution Metabolomics

• Type of Material: Article
• Authors: Douglas I. Walker, Emory University; Timothy M. Mallon, Uniformed Services University of the Health Sciences; Philip K. Hopke, Clarkson University; Karan Uppal, Emory University; Young-Mi Go Kang, Emory University; Patricia Rohrbeck, Armed Forces Health Surveillance Center; Kurt D. Pennell, Tufts University; Dean Jones, Emory University
• Language: English
• Date: 2016-08-01
• Publisher: Lippincott, Williams & Wilkins
• Publication Version: Author Accepted Manuscript (After Peer Review)
• Copyright Statement: © 2016 American College of Occupational and Environmental Medicine.
• Final Published Version (URL): http://dx.doi.org/10.1097/JOM.0000000000000768
• Title of Journal or Parent Work: Journal of Occupational and Environmental Medicine
• ISSN: 1076-2752
• Volume: 58
• Issue: 8
• Start Page: S12
• End Page: S21
• Grant/Funding Information: This public health surveillance project was supported with funding from the Department of Defense (306889-1.00-64239) and the National Institute of Health (P30 ES019776).
• Keywords: ENVIRONMENTAL EXPOSURE; EXPOSOME; Life Sciences & Biomedicine; HEALTH SURVEILLANCE; Public, Environmental & Occupational Health; PLASMA; PESTICIDES; TRICHLOROETHYLENE; ULTRAFINE PARTICLES; MASS-SPECTROMETRY; SERUM REPOSITORY; STANDARDIZATION; Science & Technology
• Research Categories: Health Sciences, Medicine and Surgery

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.