Thomas H Thatcher1, Collynn F Woeller, Juilee Thakar, Atif Khan, Philip K Hopke, Matthew Ryan Smith, Karan Uppal, Douglas I Walker, Young-Mi Go, Dean P Jones, Pamela L Krahl, Timothy M Mallon, Patricia J Sime, Richard P Phipps, Mark J Utell. 1. Department of Medicine, University of Rochester Medical Center, Rochester, New York (Dr Thatcher, Dr Sime, Dr Phipps, and Dr Utell); Department of Environmental Medicine, University of Rochester Medical Center, Rochester, New York (Dr Woeller, Dr Sime, Dr Phipps, and Dr Utell); Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York (Dr Thakar, Dr Khan, Dr Sime, and Dr Phipps); Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York (Dr Thakar and Dr Khan); Department of Public Health Sciences, University of Rochester Medical Center, Rochester, New York (Dr Hopke); Center for Air Resources Engineering and Science, Clarkson University, Potsdam, New York (Dr Hopke); Clinical Biomarkers Laboratory, Division of Pulmonary Medicine, Department of Medicine, Emory University, Atlanta, Georgia (Dr Smith, Dr Uppal, Dr Walker, Dr Go, and Dr Jones); Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York (Dr Walker); Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland (Dr Krahl and Dr Mallon); Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia (Dr Thatcher and Dr Sime).
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.
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.
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