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Comparison of the Serum Metabolic Fingerprint of Different Exercise Modes in Men with and without Metabolic Syndrome

Exercise plays a beneficial role in the treatment of metabolic syndrome (MetS). Metabolomics can provide new insights and facilitate the optimization of exercise prescription. This study aimed to investigate whether the response of the human serum metabolic fingerprint to exercise depends on exercis...

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Autores principales: Siopi, Aikaterina, Deda, Olga, Manou, Vasiliki, Kosmidis, Ioannis, Komninou, Despina, Raikos, Nikolaos, Theodoridis, Georgios A., Mougios, Vassilis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631338/
https://www.ncbi.nlm.nih.gov/pubmed/31208054
http://dx.doi.org/10.3390/metabo9060116
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author Siopi, Aikaterina
Deda, Olga
Manou, Vasiliki
Kosmidis, Ioannis
Komninou, Despina
Raikos, Nikolaos
Theodoridis, Georgios A.
Mougios, Vassilis
author_facet Siopi, Aikaterina
Deda, Olga
Manou, Vasiliki
Kosmidis, Ioannis
Komninou, Despina
Raikos, Nikolaos
Theodoridis, Georgios A.
Mougios, Vassilis
author_sort Siopi, Aikaterina
collection PubMed
description Exercise plays a beneficial role in the treatment of metabolic syndrome (MetS). Metabolomics can provide new insights and facilitate the optimization of exercise prescription. This study aimed to investigate whether the response of the human serum metabolic fingerprint to exercise depends on exercise mode or the presence of MetS. Twenty-three sedentary men (nine with MetS and fourteen healthy) completed four trials: Resting, high-intensity interval exercise (HIIE), continuous moderate-intensity exercise (CME), and resistance exercise (RE). Blood samples were collected pre-exercise, immediately after exercise, and 1 h post-exercise for targeted metabolomic analysis in serum by liquid chromatography–mass spectrometry. Time exerted the strongest differentiating effect, followed by exercise mode. The largest changes from baseline were found in the immediate post-exercise samples. RE caused the strongest responses overall, followed by HIIE, while CME had minimal effect. Unlike previous results in urine, no valid model could separate the two groups in serum. Exercise exerted a beneficial effect on prominent serum biomarkers of metabolic risks, such as branched-chain amino acids, alanine, acetylcarnitine, choline, and betaine. These findings contribute to the ongoing research efforts to map the molecular responses to exercise and to optimize exercise guidelines for individuals at cardiometabolic risk.
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spelling pubmed-66313382019-08-19 Comparison of the Serum Metabolic Fingerprint of Different Exercise Modes in Men with and without Metabolic Syndrome Siopi, Aikaterina Deda, Olga Manou, Vasiliki Kosmidis, Ioannis Komninou, Despina Raikos, Nikolaos Theodoridis, Georgios A. Mougios, Vassilis Metabolites Article Exercise plays a beneficial role in the treatment of metabolic syndrome (MetS). Metabolomics can provide new insights and facilitate the optimization of exercise prescription. This study aimed to investigate whether the response of the human serum metabolic fingerprint to exercise depends on exercise mode or the presence of MetS. Twenty-three sedentary men (nine with MetS and fourteen healthy) completed four trials: Resting, high-intensity interval exercise (HIIE), continuous moderate-intensity exercise (CME), and resistance exercise (RE). Blood samples were collected pre-exercise, immediately after exercise, and 1 h post-exercise for targeted metabolomic analysis in serum by liquid chromatography–mass spectrometry. Time exerted the strongest differentiating effect, followed by exercise mode. The largest changes from baseline were found in the immediate post-exercise samples. RE caused the strongest responses overall, followed by HIIE, while CME had minimal effect. Unlike previous results in urine, no valid model could separate the two groups in serum. Exercise exerted a beneficial effect on prominent serum biomarkers of metabolic risks, such as branched-chain amino acids, alanine, acetylcarnitine, choline, and betaine. These findings contribute to the ongoing research efforts to map the molecular responses to exercise and to optimize exercise guidelines for individuals at cardiometabolic risk. MDPI 2019-06-15 /pmc/articles/PMC6631338/ /pubmed/31208054 http://dx.doi.org/10.3390/metabo9060116 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Siopi, Aikaterina
Deda, Olga
Manou, Vasiliki
Kosmidis, Ioannis
Komninou, Despina
Raikos, Nikolaos
Theodoridis, Georgios A.
Mougios, Vassilis
Comparison of the Serum Metabolic Fingerprint of Different Exercise Modes in Men with and without Metabolic Syndrome
title Comparison of the Serum Metabolic Fingerprint of Different Exercise Modes in Men with and without Metabolic Syndrome
title_full Comparison of the Serum Metabolic Fingerprint of Different Exercise Modes in Men with and without Metabolic Syndrome
title_fullStr Comparison of the Serum Metabolic Fingerprint of Different Exercise Modes in Men with and without Metabolic Syndrome
title_full_unstemmed Comparison of the Serum Metabolic Fingerprint of Different Exercise Modes in Men with and without Metabolic Syndrome
title_short Comparison of the Serum Metabolic Fingerprint of Different Exercise Modes in Men with and without Metabolic Syndrome
title_sort comparison of the serum metabolic fingerprint of different exercise modes in men with and without metabolic syndrome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631338/
https://www.ncbi.nlm.nih.gov/pubmed/31208054
http://dx.doi.org/10.3390/metabo9060116
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