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Resistance and Endurance Exercise Training Induce Differential Changes in Gut Microbiota Composition in Murine Models
Background: The effect of resistance training on gut microbiota composition has not been explored, despite the evidence about endurance exercise. The aim of this study was to compare the effect of resistance and endurance training on gut microbiota composition in mice. Methods: Cecal samples were co...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739997/ https://www.ncbi.nlm.nih.gov/pubmed/35002754 http://dx.doi.org/10.3389/fphys.2021.748854 |
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author | Fernández, Javier Fernández-Sanjurjo, Manuel Iglesias-Gutiérrez, Eduardo Martínez-Camblor, Pablo Villar, Claudio J. Tomás-Zapico, Cristina Fernández-García, Benjamin Lombó, Felipe |
author_facet | Fernández, Javier Fernández-Sanjurjo, Manuel Iglesias-Gutiérrez, Eduardo Martínez-Camblor, Pablo Villar, Claudio J. Tomás-Zapico, Cristina Fernández-García, Benjamin Lombó, Felipe |
author_sort | Fernández, Javier |
collection | PubMed |
description | Background: The effect of resistance training on gut microbiota composition has not been explored, despite the evidence about endurance exercise. The aim of this study was to compare the effect of resistance and endurance training on gut microbiota composition in mice. Methods: Cecal samples were collected from 26 C57BL/6N mice, divided into three groups: sedentary (CTL), endurance training on a treadmill (END), and resistance training on a vertical ladder (RES). After 2 weeks of adaption, mice were trained for 4 weeks, 5 days/week. Maximal endurance and resistance capacity test were performed before and after training. Genomic DNA was extracted and 16S Ribosomal RNA sequenced for metagenomics analysis. The percentages for each phylum, class, order, family, or genus/species were obtained using an open-source bioinformatics pipeline. Results: END showed higher diversity and evenness. Significant differences among groups in microbiota composition were only observed at genera and species level. END showed a significantly higher relative abundance of Desulfovibrio and Desulfovibrio sp., while Clostridium and C. cocleatum where higher for RES. Trained mice showed significantly lower relative abundance of Ruminococcus gnavus and higher of the genus Parabacteroides compared to CTL. We explored the relationship between relative taxa abundance and maximal endurance and resistance capacities after the training period. Lachnospiraceae and Lactobacillaceae families were negatively associated with endurance performance, while several taxa, including Prevotellaceae family, Prevotella genus, and Akkermansia muciniphila, were positively correlated. About resistance performance, Desulfovibrio sp. was negatively correlated, while Alistipes showed a positive correlation. Conclusion: Resistance and endurance training differentially modify gut microbiota composition in mice, under a high-controlled environment. Interestingly, taxa associated with anti- and proinflammatory responses presented the same pattern after both models of exercise. Furthermore, the abundance of several taxa was differently related to maximal endurance or resistance performance, most of them did not respond to training. |
format | Online Article Text |
id | pubmed-8739997 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87399972022-01-08 Resistance and Endurance Exercise Training Induce Differential Changes in Gut Microbiota Composition in Murine Models Fernández, Javier Fernández-Sanjurjo, Manuel Iglesias-Gutiérrez, Eduardo Martínez-Camblor, Pablo Villar, Claudio J. Tomás-Zapico, Cristina Fernández-García, Benjamin Lombó, Felipe Front Physiol Physiology Background: The effect of resistance training on gut microbiota composition has not been explored, despite the evidence about endurance exercise. The aim of this study was to compare the effect of resistance and endurance training on gut microbiota composition in mice. Methods: Cecal samples were collected from 26 C57BL/6N mice, divided into three groups: sedentary (CTL), endurance training on a treadmill (END), and resistance training on a vertical ladder (RES). After 2 weeks of adaption, mice were trained for 4 weeks, 5 days/week. Maximal endurance and resistance capacity test were performed before and after training. Genomic DNA was extracted and 16S Ribosomal RNA sequenced for metagenomics analysis. The percentages for each phylum, class, order, family, or genus/species were obtained using an open-source bioinformatics pipeline. Results: END showed higher diversity and evenness. Significant differences among groups in microbiota composition were only observed at genera and species level. END showed a significantly higher relative abundance of Desulfovibrio and Desulfovibrio sp., while Clostridium and C. cocleatum where higher for RES. Trained mice showed significantly lower relative abundance of Ruminococcus gnavus and higher of the genus Parabacteroides compared to CTL. We explored the relationship between relative taxa abundance and maximal endurance and resistance capacities after the training period. Lachnospiraceae and Lactobacillaceae families were negatively associated with endurance performance, while several taxa, including Prevotellaceae family, Prevotella genus, and Akkermansia muciniphila, were positively correlated. About resistance performance, Desulfovibrio sp. was negatively correlated, while Alistipes showed a positive correlation. Conclusion: Resistance and endurance training differentially modify gut microbiota composition in mice, under a high-controlled environment. Interestingly, taxa associated with anti- and proinflammatory responses presented the same pattern after both models of exercise. Furthermore, the abundance of several taxa was differently related to maximal endurance or resistance performance, most of them did not respond to training. Frontiers Media S.A. 2021-12-24 /pmc/articles/PMC8739997/ /pubmed/35002754 http://dx.doi.org/10.3389/fphys.2021.748854 Text en Copyright © 2021 Fernández, Fernández-Sanjurjo, Iglesias-Gutiérrez, Martínez-Camblor, Villar, Tomás-Zapico, Fernández-García and Lombó. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Fernández, Javier Fernández-Sanjurjo, Manuel Iglesias-Gutiérrez, Eduardo Martínez-Camblor, Pablo Villar, Claudio J. Tomás-Zapico, Cristina Fernández-García, Benjamin Lombó, Felipe Resistance and Endurance Exercise Training Induce Differential Changes in Gut Microbiota Composition in Murine Models |
title | Resistance and Endurance Exercise Training Induce Differential Changes in Gut Microbiota Composition in Murine Models |
title_full | Resistance and Endurance Exercise Training Induce Differential Changes in Gut Microbiota Composition in Murine Models |
title_fullStr | Resistance and Endurance Exercise Training Induce Differential Changes in Gut Microbiota Composition in Murine Models |
title_full_unstemmed | Resistance and Endurance Exercise Training Induce Differential Changes in Gut Microbiota Composition in Murine Models |
title_short | Resistance and Endurance Exercise Training Induce Differential Changes in Gut Microbiota Composition in Murine Models |
title_sort | resistance and endurance exercise training induce differential changes in gut microbiota composition in murine models |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739997/ https://www.ncbi.nlm.nih.gov/pubmed/35002754 http://dx.doi.org/10.3389/fphys.2021.748854 |
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