PeerJ (Jul 2022)

A diagnostic model for overweight and obesity from untargeted urine metabolomics of soldiers

  • Exsal M. Albores-Mendez,
  • Alexis D. Aguilera Hernández,
  • Alejandra Melo-González,
  • Marco A. Vargas-Hernández,
  • Neptalí Gutierrez de la Cruz,
  • Miguel A. Vazquez-Guzman,
  • Melchor Castro-Marín,
  • Pablo Romero-Morelos,
  • Robert Winkler

DOI
https://doi.org/10.7717/peerj.13754
Journal volume & issue
Vol. 10
p. e13754

Abstract

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Soldiers in active military service need optimal physical fitness for successfully carrying out their operations. Therefore, their health status is regularly checked by army doctors. These inspections include physical parameters such as the body-mass index (BMI), functional tests, and biochemical studies. If a medical exam reveals an individual’s excess weight, further examinations are made, and corrective actions for weight lowering are initiated. The collection of urine is non-invasive and therefore attractive for frequent metabolic screening. We compared the chemical profiles of urinary samples of 146 normal weight, excess weight, and obese soldiers of the Mexican Army, using untargeted metabolomics with liquid chromatography coupled to high-resolution mass spectrometry (LC-MS). In combination with data mining, statistical and metabolic pathway analyses suggest increased S-adenosyl-L-methionine (SAM) levels and changes of amino acid metabolites as important variables for overfeeding. We will use these potential biomarkers for the ongoing metabolic monitoring of soldiers in active service. In addition, after validation of our results, we will develop biochemical screening tests that are also suitable for civil applications.

Keywords