Carolyn Jonas Accardi1, Douglas I Walker, Karan Uppal, Arshed A Quyyumi, Patricia Rohrbeck, Kurt D Pennell, Col Timothy M Mallon, Dean P Jones. 1. Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, Emory School of Medicine, Atlanta, Georgia (Dr Accardi, Mr Walker, Drs Uppal, Jones); Department of Civil and Environmental Engineering, Tufts University, Medford, Massachusetts (Mr Walker, Dr Pennell); Division of Cardiology, Emory School of Medicine, Atlanta, Georgia (Dr Quyyumi); 779th Aerospace Medicine Squadron, 79th Medical Wing, Joint Base Andrews (Dr Rohrbeck); and Professor, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD 20814 (Dr Mallon).
Abstract
OBJECTIVE: The aim of this study was to test the utility of high-resolution metabolomics (HRM) for analysis of nutritional status and health indicators in military personnel. METHODS: Serum samples from 400 military personnel were obtained from the Department of Defense Serum Repository (DoDSR) and analyzed for metabolites related to nutrition and health status. Metabolic profile organization was studied using modulated modularity clustering (MMC). RESULTS: HRM provided quantitative measures of 61 metabolites across chemical classes for use as nutritional and clinical biomarkers. Levels were comparable to reported values except for arginine and glutamine, which were above and below reference ranges, respectively. MMC generated five clusters, three of which were associated and contained amino acids. The others contained lipids and mitochondria-related metabolites. CONCLUSIONS: HRM analysis of serum is suitable for real-time and/or retrospective evaluation of nutrition and health status of specific military cohorts.
OBJECTIVE: The aim of this study was to test the utility of high-resolution metabolomics (HRM) for analysis of nutritional status and health indicators in military personnel. METHODS: Serum samples from 400 military personnel were obtained from the Department of Defense Serum Repository (DoDSR) and analyzed for metabolites related to nutrition and health status. Metabolic profile organization was studied using modulated modularity clustering (MMC). RESULTS: HRM provided quantitative measures of 61 metabolites across chemical classes for use as nutritional and clinical biomarkers. Levels were comparable to reported values except for arginine and glutamine, which were above and below reference ranges, respectively. MMC generated five clusters, three of which were associated and contained amino acids. The others contained lipids and mitochondria-related metabolites. CONCLUSIONS: HRM analysis of serum is suitable for real-time and/or retrospective evaluation of nutrition and health status of specific military cohorts.
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Authors: Atif Khan; Thomas H Thatcher; Collynn F Woeller; Patricia J Sime; Richard P Phipps; Philip K Hopke; Mark J Utell; Pamela L Krahl; Timothy M Mallon; Juilee Thakar Journal: J Occup Environ Med Date: 2019-12 Impact factor: 2.162
Authors: Thomas H Thatcher; 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 Journal: J Occup Environ Med Date: 2019-12 Impact factor: 2.162
Authors: Juilee Thakar; Thomas H Thatcher; Matthew Ryan Smith; Collynn F Woeller; Douglas I Walker; Mark J Utell; Philip K Hopke; Timothy M Mallon; Pamela L Krahl; Patricia Rohrbeck; Young-Mi Go; Dean P Jones; Karan Uppal Journal: J Occup Environ Med Date: 2019-12 Impact factor: 2.162