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Deployment-Associated Exposure Surveillance With High-Resolution Metabolomics.
Douglas I Walker1, Col Timothy M Mallon, Philip K Hopke
1Division 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).
High-resolution metabolomics (HRM) is suitable for measuring internal exposure and effect biomarkers from environmental hazards. This approach integrates external exposures, body burden, and biological responses for health outcomes.
Area of Science:
- Environmental Health Sciences
- Metabolomics
- Biomarker Discovery
Background:
- Environmental hazards pose risks during military deployments.
- Assessing internal exposure and biological effects is crucial for occupational health.
- Metabolomics offers a comprehensive approach to understanding biological responses.
Purpose of the Study:
- To evaluate the utility of high-resolution metabolomics (HRM) for assessing internal exposure biomarkers.
- To determine the suitability of HRM for identifying effect biomarkers related to environmental hazards.
- To explore HRM as a tool for environmental exposure surveillance.
Main Methods:
- Review of the analytical platform and workflow for HRM.
- Description of recent applications of HRM in exposure science.
- Integration of external exposure data with internal body burden and biological responses.
Main Results:
- HRM provides extensive coverage of metabolic profiles.
- HRM data is relevant to a wide range of environmental exposures.
- HRM methods can link environmental exposures to health outcomes.
Conclusions:
- HRM is a suitable technology for measuring biomarkers of internal exposure and effect.
- HRM can serve as a prototype for environmental exposure surveillance systems.
- Analysis of serum samples will establish a reference dataset for deployment exposures and support precision medicine.
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