High-resolution metabolomics for nutrition and health assessment of armed forces personnel

Carolyn Jonas Accardi; Douglas I. Walker; Karan Uppal; Arshed A. Quyyumi; Patricia Rohrbeck; Kurt D. Pennell; Timothy M. Mallon; Dean P. Jones

doi:10.1097/JOM.0000000000000770

High-resolution metabolomics for nutrition and health assessment of armed forces personnel

Carolyn Jonas Accardi, Douglas I. Walker, Karan Uppal, Arshed A. Quyyumi, Patricia Rohrbeck, Kurt D. Pennell, Timothy M. Mallon, Dean P. Jones^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

35 Scopus citations

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.

Original language	English
Pages (from-to)	S80-S88
Journal	Journal of Occupational and Environmental Medicine
Volume	58
Issue number	8S
DOIs	https://doi.org/10.1097/JOM.0000000000000770
State	Published - 1 Aug 2016
Externally published	Yes

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title = "High-resolution metabolomics for nutrition and health assessment of armed forces personnel",

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.",

author = "Accardi, {Carolyn Jonas} and Walker, {Douglas I.} and Karan Uppal and Quyyumi, {Arshed A.} and Patricia Rohrbeck and Pennell, {Kurt D.} and Mallon, {Timothy M.} and Jones, {Dean P.}",

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doi = "10.1097/JOM.0000000000000770",

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T1 - High-resolution metabolomics for nutrition and health assessment of armed forces personnel

AU - Accardi, Carolyn Jonas

AU - Walker, Douglas I.

AU - Uppal, Karan

AU - Quyyumi, Arshed A.

AU - Rohrbeck, Patricia

AU - Pennell, Kurt D.

AU - Mallon, Timothy M.

AU - Jones, Dean P.

PY - 2016/8/1

Y1 - 2016/8/1

N2 - 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.

AB - 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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High-resolution metabolomics for nutrition and health assessment of armed forces personnel

Abstract

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