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

Author:

Albores-Mendez Exsal M.1,Aguilera Hernández Alexis D.1,Melo-González Alejandra1,Vargas-Hernández Marco A.1,Gutierrez de la Cruz Neptalí1,Vazquez-Guzman Miguel A.12,Castro-Marín Melchor1,Romero-Morelos Pablo13,Winkler Robert45

Affiliation:

1. Escuela Militar de Graduados de Sanidad, Universidad del Ejército y Fuerza Aérea Mexicanos, Secretaría de la Defensa Nacional, Mexico City, Mexico

2. Centro de Investigación en Ciencias de la Salud (CICSA), FCS, Universidad Anahuac Mexico, Campus Norte, Mexico City, Mexico

3. Universidad Estatal del Valle de Ecatepec, Ecatepec, Mexico

4. UGA-Langebio, CINVESTAV, Irapuato, Gto., Mexico

5. Biotechnology and Biochemistry, CINVESTAV Unidad Irapuato, Irapuato, Gto., Mexico

Abstract

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.

Funder

The Budget Program A022, Military Research and Development in Coordination with Public Universities, Public Higher Education Institutions

Public Research Centers and the Secretary of National Defense, Mexico

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference50 articles.

1. CHAPTER 6: OpenMS and KNIME for mass spectrometry data processing;Alka,2020

2. KNIME—the Konstanz information miner: version 2.0 and beyond;Berthold;SIGKDD Explorations Newsletter,2009

3. A molecular signature for the metabolic syndrome by urine metabolomics;Bruzzone;Cardiovascular Diabetology,2021

4. Ley del Instituto de Seguridad Social para las Fuerzas Armadas Mexicanas;Cámara de Diputados (MX),2019

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3