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Analysis of Postdeployment Serum Samples Identifies Potential Biomarkers of Exposure to Burn Pits and Other Environmental Hazards.

ABSTRACT: OBJECTIVE:The potential health risks of deployment to sites with open burn pits remain poorly understood, in part, because personal exposure monitoring was not performed. Here, we investigated whether postdeployment serum samples contain biomarkers associated with exposure to burn pits. METHODS:A total of 237 biomarkers were measured in 800 serum samples from deployed and never-deployed subjects. We used a regression model and a supervised vector machine to identify serum biomarkers with significant associations with exposures and deployment. RESULTS:We identified 101 serum biomarkers associated with polycyclic aromatic hydrocarbons, dioxins or furans, and 54 biomarkers associated with deployment. Twenty-six of these biomarkers were shared in common by the exposure and deployment groups. CONCLUSIONS:We identify a potential signature of exposure to open burn pits, and provide a framework for using postexposure sera to identify exposures when contemporaneous monitoring was inadequate.

SUBMITTER: Thatcher TH 

PROVIDER: S-EPMC6901100 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Analysis of Postdeployment Serum Samples Identifies Potential Biomarkers of Exposure to Burn Pits and Other Environmental Hazards.

Thatcher Thomas H TH   Woeller Collynn F CF   Thakar Juilee J   Khan Atif A   Hopke Philip K PK   Smith Matthew Ryan MR   Uppal Karan K   Walker Douglas I DI   Go Young-Mi YM   Jones Dean P DP   Krahl Pamela L PL   Mallon Timothy M TM   Sime Patricia J PJ   Phipps Richard P RP   Utell Mark J MJ  

Journal of occupational and environmental medicine 20191201

<h4>Objective</h4>The potential health risks of deployment to sites with open burn pits remain poorly understood, in part, because personal exposure monitoring was not performed. Here, we investigated whether postdeployment serum samples contain biomarkers associated with exposure to burn pits.<h4>Methods</h4>A total of 237 biomarkers were measured in 800 serum samples from deployed and never-deployed subjects. We used a regression model and a supervised vector machine to identify serum biomarke  ...[more]