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Changes of Differential Urinary Metabolites after High-Intensive Training in Teenage Football Players

OBJECTIVE: The mechanism underlying the fatigue of football players is closely related to the energy depletion and accumulation of metabolites; the present study tries to explore the metabolic mechanism in teenage football players during exercise-induced fatigue. METHODS: 12 teenage football players...

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Autores principales: Cao, Ben, Liu, Shuojia, Yang, Lin, Chi, Aiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7109581/
https://www.ncbi.nlm.nih.gov/pubmed/32258106
http://dx.doi.org/10.1155/2020/2073803
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author Cao, Ben
Liu, Shuojia
Yang, Lin
Chi, Aiping
author_facet Cao, Ben
Liu, Shuojia
Yang, Lin
Chi, Aiping
author_sort Cao, Ben
collection PubMed
description OBJECTIVE: The mechanism underlying the fatigue of football players is closely related to the energy depletion and accumulation of metabolites; the present study tries to explore the metabolic mechanism in teenage football players during exercise-induced fatigue. METHODS: 12 teenage football players were subjected to three groups of combined training by using a cycle ergometer, with the subjective Rating of Perceived Exertion (RPE) as a fatigue criterion. The following indicators were measured in each group after training: maximum oxygen uptake (VO(2max)), anaerobic power, and average anaerobic power. Urine samples were collected before and after the training. Gas chromatography-mass spectrometry (GC-MS) was performed for the metabonomics analysis of the samples. The metabolism data was analyzed by using principal component analysis (PCA) and orthogonal partial least squares analysis (OPLS-DA), through the Kyoto Encyclopedia of Genes and Genomes (KEGG) database to confirm the potential differences between metabolites, and the MetPA database was used to analyze the related metabolic pathways. RESULTS: There was no significant difference between the maximal oxygen uptakes among the three groups. Compared with group 1, the maximum and average anaerobic power in group 3 significantly decreased (p < 0.05) at the end of training. GC-MS detected 635 metabolites in the urine samples. Through PCA, OPLS-DA analysis, and KEGG matching, 25 different metabolites (3↑22↓) that met the conditions were finally selected. These different metabolites belonged to 5 metabolic pathways: glycine-serine-threonine metabolism, citrate cycle, tyrosine metabolism, nitrogen metabolism, and glycerophospholipid metabolism. CONCLUSIONS: During the combined exercise of aerobic and anaerobic metabolism, teenage football players show a significant decrease in anaerobic capacity after fatigue. The metabolic mechanism of exercise fatigue was related to disorders in amino acid and energy metabolism.
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spelling pubmed-71095812020-04-04 Changes of Differential Urinary Metabolites after High-Intensive Training in Teenage Football Players Cao, Ben Liu, Shuojia Yang, Lin Chi, Aiping Biomed Res Int Research Article OBJECTIVE: The mechanism underlying the fatigue of football players is closely related to the energy depletion and accumulation of metabolites; the present study tries to explore the metabolic mechanism in teenage football players during exercise-induced fatigue. METHODS: 12 teenage football players were subjected to three groups of combined training by using a cycle ergometer, with the subjective Rating of Perceived Exertion (RPE) as a fatigue criterion. The following indicators were measured in each group after training: maximum oxygen uptake (VO(2max)), anaerobic power, and average anaerobic power. Urine samples were collected before and after the training. Gas chromatography-mass spectrometry (GC-MS) was performed for the metabonomics analysis of the samples. The metabolism data was analyzed by using principal component analysis (PCA) and orthogonal partial least squares analysis (OPLS-DA), through the Kyoto Encyclopedia of Genes and Genomes (KEGG) database to confirm the potential differences between metabolites, and the MetPA database was used to analyze the related metabolic pathways. RESULTS: There was no significant difference between the maximal oxygen uptakes among the three groups. Compared with group 1, the maximum and average anaerobic power in group 3 significantly decreased (p < 0.05) at the end of training. GC-MS detected 635 metabolites in the urine samples. Through PCA, OPLS-DA analysis, and KEGG matching, 25 different metabolites (3↑22↓) that met the conditions were finally selected. These different metabolites belonged to 5 metabolic pathways: glycine-serine-threonine metabolism, citrate cycle, tyrosine metabolism, nitrogen metabolism, and glycerophospholipid metabolism. CONCLUSIONS: During the combined exercise of aerobic and anaerobic metabolism, teenage football players show a significant decrease in anaerobic capacity after fatigue. The metabolic mechanism of exercise fatigue was related to disorders in amino acid and energy metabolism. Hindawi 2020-03-18 /pmc/articles/PMC7109581/ /pubmed/32258106 http://dx.doi.org/10.1155/2020/2073803 Text en Copyright © 2020 Ben Cao et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Cao, Ben
Liu, Shuojia
Yang, Lin
Chi, Aiping
Changes of Differential Urinary Metabolites after High-Intensive Training in Teenage Football Players
title Changes of Differential Urinary Metabolites after High-Intensive Training in Teenage Football Players
title_full Changes of Differential Urinary Metabolites after High-Intensive Training in Teenage Football Players
title_fullStr Changes of Differential Urinary Metabolites after High-Intensive Training in Teenage Football Players
title_full_unstemmed Changes of Differential Urinary Metabolites after High-Intensive Training in Teenage Football Players
title_short Changes of Differential Urinary Metabolites after High-Intensive Training in Teenage Football Players
title_sort changes of differential urinary metabolites after high-intensive training in teenage football players
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7109581/
https://www.ncbi.nlm.nih.gov/pubmed/32258106
http://dx.doi.org/10.1155/2020/2073803
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