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Resistance and Endurance Exercise Training Induce Differential Changes in Gut Microbiota Composition in Murine Models

Jun202022

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.

 

Link: https://www.frontiersin.org/articles/10.3389/fphys.2021.748854/full

 

Authors: Javier Fernández1,2,3†, Manuel Fernández-Sanjurjo2,4†, Eduardo Iglesias-Gutiérrez2,4, Pablo Martínez-Camblor5, Claudio J. Villar1,2,3, Cristina Tomás-Zapico2,4*, Benjamin Fernández-García2,6‡ and Felipe Lombó1,2,3‡

 

Source:

  • 1Department of Functional Biology, Microbiology, University of Oviedo, Oviedo, Spain
  • 2Health Research Institute of the Principality of Asturias (ISPA), Oviedo, Spain
  • 3Instituto Universitario de Oncología del Principado de Asturias (IUOPA), University of Oviedo, Oviedo, Spain
  • 4Department of Functional Biology, Physiology, University of Oviedo, Oviedo, Spain
  • 5Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
  • 6Department of Morphology and Cell Biology, Anatomy, University of Oviedo, Oviedo, Spain

 

Data Availability Statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found at: https://www.ncbi.nlm.nih.gov/, PRJNA558220.

Ethics Statement

The animal study was reviewed and approved by the Research Ethics Committee of the University of Oviedo, Spain (PROAE 10/2016).

Author Contributions

JF and MF-S performed the experiments, analyzed the data, and wrote the manuscript. CT-Z and PM-C analyzed the data, prepared the figures, and wrote the manuscript. CJV analyzed the data. EI-G, FL, and BF-G designed and supervised the study and wrote the manuscript. All authors have read and approved the final version of the manuscript and agree with the order of the presentation of the authors.

Funding

This work was supported by Ministerio de Economía y Competitividad under Grant DEP2015-69980-P to BF-G and by Programa de Ayudas a Grupos de Investigación del Principado de Asturias to FL (FC-GRUPIN-IDI/2018/000120).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

The authors acknowledge the technical support provided by Servicios Científico-Técnicos de la Universidad de Oviedo and the Biostatistics and Epidemiology Unit from ISPA.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphys.2021.748854/full#supplementary-material

References

Allen, J. M., Berg Miller, M. E., Pence, B. D., Whitlock, K., Nehra, V., Gaskins, H. R., et al. (2015). Voluntary and forced exercise differentially alters the gut microbiome in C57BL/6J mice. J. Appl. Physiol. 118, 1059–1066. doi: 10.1152/japplphysiol.01077.2014

PubMed Abstract | CrossRef Full Text | Google Scholar

Allen, J. M., Mailing, L. J., Niemiro, G. M., Moore, R., Cook, M. D., White, B. A., et al. (2018). Exercise alters gut microbiota composition and function in lean and obese humans. Med. Sci. Sports Exerc. 50, 747–757. doi: 10.1249/MSS.0000000000001495

PubMed Abstract | CrossRef Full Text | Google Scholar

Arumugam, M., Raes, J., Pelletier, E., Le Paslier, D., Yamada, T., Mende, D. R., et al. (2011). Enterotypes of the human gut microbiome. Nature 473, 174–180. doi: 10.1038/nature09944

PubMed Abstract | CrossRef Full Text | Google Scholar

Barcena, C., Valdes-Mas, R., Mayoral, P., Garabaya, C., Durand, S., Rodriguez, F., et al. (2019). Healthspan and lifespan extension by fecal microbiota transplantation into progeroid mice. Nat. Med. 25, 1234–1242. doi: 10.1038/s41591-019-0504-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Barton, W., Penney, N. C., Cronin, O., Garcia-Perez, I., Molloy, M. G., Holmes, E., et al. (2018). The microbiome of professional athletes differs from that of more sedentary subjects in composition and particularly at the functional metabolic level. Gut 67, 625–633. doi: 10.1136/gutjnl-2016-313627

PubMed Abstract | CrossRef Full Text | Google Scholar

Boureau, H., Decre, D., Carlier, J. P., Guichet, C., and Bourlioux, P. (1993). Identification of a Clostridium cocleatum strain involved in an anti-Clostridium difficile barrier effect and determination of its mucin-degrading enzymes. Res. Microbiol. 144, 405–410. doi: 10.1016/0923-2508(93)90198-B

PubMed Abstract | CrossRef Full Text | Google Scholar

Bycura, D., Santos, A. C., Shiffer, A., Kyman, S., Winfree, K., Sutliffe, J., et al. (2021). Impact of different exercise modalities on the human gut microbiome. Sports 9:14. doi: 10.3390/sports9020014

PubMed Abstract | CrossRef Full Text | Google Scholar

Campbell, S. C., Wisniewski, P. J., Noji, M., Mcguinness, L. R., Haggblom, M. M., Lightfoot, S. A., et al. (2016). The effect of diet and exercise on intestinal integrity and microbial diversity in mice. PLoS One 11:e0150502. doi: 10.1371/journal.pone.0150502

PubMed Abstract | CrossRef Full Text | Google Scholar

Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., et al. (2010). QIIME allows analysis of high-throughput community sequencing data. Nat. Methods 7, 335–336. doi: 10.1038/nmeth.f.303

PubMed Abstract | CrossRef Full Text | Google Scholar

Carbajo-Pescador, S., Porras, D., Garcia-Mediavilla, M. V., Martinez-Florez, S., Juarez-Fernandez, M., Cuevas, M. J., et al. (2019). Beneficial effects of exercise on gut microbiota functionality and barrier integrity, and gut-liver crosstalk in an in vivo model of early obesity and non-alcoholic fatty liver disease. Dis. Model. Mech. 12:dmm039206. doi: 10.1242/dmm.039206

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, H., Shen, L., Liu, Y., Ma, X., Long, L., Ma, X., et al. (2021). Strength exercise confers protection in central nervous system autoimmunity by altering the gut microbiota. Front. Immunol. 12:628629. doi: 10.3389/fimmu.2021.628629

PubMed Abstract | CrossRef Full Text | Google Scholar

Choi, J. J., Eum, S. Y., Rampersaud, E., Daunert, S., Abreu, M. T., and Toborek, M. (2013). Exercise attenuates PCB-induced changes in the mouse gut microbiome. Environ. Health Perspect. 121, 725–730. doi: 10.1289/ehp.1306534

PubMed Abstract | CrossRef Full Text | Google Scholar

Codina-Martinez, H., Fernandez-Garcia, B., Diez-Planelles, C., Fernandez, A. F., Higarza, S. G., Fernandez-Sanjurjo, M., et al. (2020). Autophagy is required for performance adaptive response to resistance training and exercise-induced adult neurogenesis. Scand. J. Med. Sci. Sports 30, 238–253. doi: 10.1111/sms.13586

PubMed Abstract | CrossRef Full Text | Google Scholar

Colston, T. J., and Jackson, C. R. (2016). Microbiome evolution along divergent branches of the vertebrate tree of life: what is known and unknown. Mol. Ecol. 25, 3776–3800. doi: 10.1111/mec.13730

PubMed Abstract | CrossRef Full Text | Google Scholar

Conner, J. D., Wolden-Hanson, T., and Quinn, L. S. (2014). Assessment of murine exercise endurance without the use of a shock grid: an alternative to forced exercise. J. Vis. Exp. 90:e51846. doi: 10.3791/51846

CrossRef Full Text | Google Scholar

Crovesy, L., Masterson, D., and Rosado, E. L. (2020). Profile of the gut microbiota of adults with obesity: a systematic review. Eur. J. Clin. Nutr. 74, 1251–1262. doi: 10.1038/s41430-020-0607-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Das, A., Huang, G. X., Bonkowski, M. S., Longchamp, A., Li, C., Schultz, M. B., et al. (2018). Impairment of an endothelial NAD(+)-H2S signaling network is a reversible cause of vascular aging. Cell 173, 74.e20–89.e20. doi: 10.1016/j.cell.2018.02.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Davidson, R. M., and Epperson, L. E. (2018). Microbiome sequencing methods for studying human diseases. Methods Mol. Biol. 1706, 77–90. doi: 10.1007/978-1-4939-7471-9_5

PubMed Abstract | CrossRef Full Text | Google Scholar

Evans, C. C., Lepard, K. J., Kwak, J. W., Stancukas, M. C., Laskowski, S., Dougherty, J., et al. (2014). Exercise prevents weight gain and alters the gut microbiota in a mouse model of high fat diet-induced obesity. PLoS One 9:e92193. doi: 10.1371/journal.pone.0092193

PubMed Abstract | CrossRef Full Text | Google Scholar

Fernandez, J., Garcia, L., Monte, J., Villar, C. J., and Lombo, F. (2018). Functional anthocyanin-rich sausages diminish colorectal cancer in an animal model and reduce pro-inflammatory bacteria in the intestinal microbiota. Genes (Basel) 9:133. doi: 10.3390/genes9030133

PubMed Abstract | CrossRef Full Text | Google Scholar

Fernandez-Sanjurjo, M., Fernandez, J., Tomas-Zapico, C., Fernandez-Garcia, B., Villar, C. J., Lombo, F., et al. (2020). Is physical performance (in mice) increased by Veillonella atypica or decreased by Lactobacillus bulgaricus? J. Sport Health Sci. 9, 197–200. doi: 10.1016/j.jshs.2020.02.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Figueiredo, V. C., De Salles, B. F., and Trajano, G. S. (2018). Volume for muscle hypertrophy and health outcomes: the most effective variable in resistance training. Sports Med. 48, 499–505. doi: 10.1007/s40279-017-0793-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Fiuza-Luces, C., Garatachea, N., Berger, N. A., and Lucia, A. (2013). Exercise is the real polypill. Physiology 28, 330–358. doi: 10.1152/physiol.00019.2013

PubMed Abstract | CrossRef Full Text | Google Scholar

Flint, H. J., Duncan, S. H., Scott, K. P., and Louis, P. (2015). Links between diet, gut microbiota composition and gut metabolism. Proc. Nutr. Soc. 74, 13–22. doi: 10.1017/S0029665114001463

PubMed Abstract | CrossRef Full Text | Google Scholar

Gentil, P., Marques, V. A., Neto, J. P. P., Santos, A. C. G., Steele, J., Fisher, J., et al. (2018). Using velocity loss for monitoring resistance training effort in a real-world setting. Appl. Physiol. Nutr. Metab. 43, 833–837. doi: 10.1139/apnm-2018-0011

CrossRef Full Text | Google Scholar

Goodrich, J. K., Waters, J. L., Poole, A. C., Sutter, J. L., Koren, O., Blekhman, R., et al. (2014). Human genetics shape the gut microbiome. Cell 159, 789–799. doi: 10.1016/j.cell.2014.09.053

PubMed Abstract | CrossRef Full Text | Google Scholar

Grogan, M. D., Bartow-Mckenney, C., Flowers, L., Knight, S. A. B., Uberoi, A., and Grice, E. A. (2019). Research techniques made simple: profiling the skin microbiota. J. Invest. Dermatol. 139, 747.e1–752.e1. doi: 10.1016/j.jid.2019.01.024

PubMed Abstract | CrossRef Full Text | Google Scholar

Hawley, J. A., Hargreaves, M., Joyner, M. J., and Zierath, J. R. (2014). Integrative biology of exercise. Cell 159, 738–749. doi: 10.1016/j.cell.2014.10.029

CrossRef Full Text | Google Scholar

Hildebrand, F., Nguyen, T. L., Brinkman, B., Yunta, R. G., Cauwe, B., Vandenabeele, P., et al. (2013). Inflammation-associated enterotypes, host genotype, cage and inter-individual effects drive gut microbiota variation in common laboratory mice. Genome Biol. 14:R4. doi: 10.1186/gb-2013-14-1-r4

PubMed Abstract | CrossRef Full Text | Google Scholar

Hsu, Y. J., Chiu, C. C., Li, Y. P., Huang, W. C., Huang, Y. T., Huang, C. C., et al. (2015). Effect of intestinal microbiota on exercise performance in mice. J. Strength Cond. Res. 29, 552–558. doi: 10.1519/JSC.0000000000000644

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnson, K. V., and Burnet, P. W. (2016). Microbiome: should we diversify from diversity? Gut Microbes 7, 455–458. doi: 10.1080/19490976.2016.1241933

PubMed Abstract | CrossRef Full Text | Google Scholar

Kemi, O. J., Loennechen, J. P., Wisloff, U., and Ellingsen, O. (2002). Intensity-controlled treadmill running in mice: cardiac and skeletal muscle hypertrophy. J. Appl. Physiol. 93, 1301–1309. doi: 10.1152/japplphysiol.00231.2002

PubMed Abstract | CrossRef Full Text | Google Scholar

Knab, A. M., Bowen, R. S., Moore-Harrison, T., Hamilton, A. T., Turner, M. J., and Lightfoot, J. T. (2009). Repeatability of exercise behaviors in mice. Physiol. Behav. 98, 433–440. doi: 10.1016/j.physbeh.2009.07.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Kregel, K. C., Allen, D. L., Booth, F. W., Fleshner, M. R., Henriksen, E. J., Musch, T. I., et al. (2006). Resource book for the design of animal exercise protocols. Am. J. Vet. Res. 68:583. doi: 10.2460/ajvr.68.6.583

CrossRef Full Text | Google Scholar

Lamoureux, E. V., Grandy, S. A., and Langille, M. G. I. (2017). Moderate exercise has limited but distinguishable effects on the mouse microbiome. mSystems 2, e00006–e00017. doi: 10.1128/mSystems.00006-17

PubMed Abstract | CrossRef Full Text | Google Scholar

Le Chatelier, E., Nielsen, T., Qin, J., Prifti, E., Hildebrand, F., Falony, G., et al. (2013). Richness of human gut microbiome correlates with metabolic markers. Nature 500, 541–546. doi: 10.1038/nature12506

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, H., and Ko, G. (2014). Effect of metformin on metabolic improvement and gut microbiota. Appl. Environ. Microbiol. 80, 5935–5943. doi: 10.1128/AEM.01357-14

PubMed Abstract | CrossRef Full Text | Google Scholar

Ley, R. E., Backhed, F., Turnbaugh, P., Lozupone, C. A., Knight, R. D., and Gordon, J. I. (2005). Obesity alters gut microbial ecology. Proc. Natl. Acad. Sci. U. S. A. 102, 11070–11075. doi: 10.1073/pnas.0504978102

PubMed Abstract | CrossRef Full Text | Google Scholar

Marteau, P., Pochart, P., Dore, J., Bera-Maillet, C., Bernalier, A., and Corthier, G. (2001). Comparative study of bacterial groups within the human cecal and fecal microbiota. Appl. Environ. Microbiol. 67, 4939–4942. doi: 10.1128/AEM.67.10.4939-4942.2001

PubMed Abstract | CrossRef Full Text | Google Scholar

McKenna, C. F., Salvador, A. F., Hughes, R. L., Scaroni, S. E., Alamilla, R. A., Askow, A. T., et al. (2021). Higher protein intake during resistance training does not potentiate strength, but modulates gut microbiota, in middle-aged adults: a randomized control trial. Am. J. Physiol. Endocrinol. Metab. 320, E900–E913. doi: 10.1152/ajpendo.00574.2020

CrossRef Full Text | Google Scholar

Mohr, A. E., Jager, R., Carpenter, K. C., Kerksick, C. M., Purpura, M., Townsend, J. R., et al. (2020). The athletic gut microbiota. J. Int. Soc. Sports Nutr. 17:24. doi: 10.1186/s12970-020-00353-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Myers, J., Prakash, M., Froelicher, V., Do, D., Partington, S., and Atwood, J. E. (2002). Exercise capacity and mortality among men referred for exercise testing. N. Engl. J. Med. 346, 793–801. doi: 10.1056/NEJMoa011858

CrossRef Full Text | Google Scholar

Nguyen, T. L., Vieira-Silva, S., Liston, A., and Raes, J. (2015). How informative is the mouse for human gut microbiota research? Dis. Model. Mech. 8, 1–16. doi: 10.1242/dmm.017400

PubMed Abstract | CrossRef Full Text | Google Scholar

O’toole, P. W., and Jeffery, I. B. (2015). Gut microbiota and aging. Science 350, 1214–1215. doi: 10.1126/science.aac8469

PubMed Abstract | CrossRef Full Text | Google Scholar

Parker, B. J., Wearsch, P. A., Veloo, A. C. M., and Rodriguez-Palacios, A. (2020). The genus Alistipes: gut bacteria with emerging implications to inflammation, cancer, and mental health. Front. Immunol. 11:906. doi: 10.3389/fimmu.2020.00906

PubMed Abstract | CrossRef Full Text | Google Scholar

Pedersen, B. K., and Saltin, B. (2015). Exercise as medicine – evidence for prescribing exercise as therapy in 26 different chronic diseases. Scand. J. Med. Sci. Sports 25(Suppl. 3), 1–72. doi: 10.1111/sms.12581

PubMed Abstract | CrossRef Full Text | Google Scholar

Qin, J., Li, Y., Cai, Z., Li, S., Zhu, J., Zhang, F., et al. (2012). A metagenome-wide association study of gut microbiota in type 2 diabetes. Nature 490, 55–60. doi: 10.1038/nature11450

PubMed Abstract | CrossRef Full Text | Google Scholar

Rothschild, D., Weissbrod, O., Barkan, E., Kurilshikov, A., Korem, T., Zeevi, D., et al. (2018). Environment dominates over host genetics in shaping human gut microbiota. Nature 555, 210–215. doi: 10.1038/nature25973

PubMed Abstract | CrossRef Full Text | Google Scholar

Scheiman, J., Luber, J. M., Chavkin, T. A., Macdonald, T., Tung, A., Pham, L. D., et al. (2019). Meta-omics analysis of elite athletes identifies a performance-enhancing microbe that functions via lactate metabolism. Nat. Med. 25, 1104–1109. doi: 10.1038/s41591-019-0485-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Tang, W. H. W., Li, D. Y., and Hazen, S. L. (2019). Dietary metabolism, the gut microbiome, and heart failure. Nat. Rev. Cardiol. 16, 137–154. doi: 10.1038/s41569-018-0108-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Westcott, W. L. (2012). Resistance training is medicine: effects of strength training on health. Curr. Sports Med. Rep. 11, 209–216. doi: 10.1249/JSR.0b013e31825dabb8

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, G. D., Chen, J., Hoffmann, C., Bittinger, K., Chen, Y. Y., Keilbaugh, S. A., et al. (2011). Linking long-term dietary patterns with gut microbial enterotypes. Science 334, 105–108. doi: 10.1126/science.1208344

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, X., Zhang, Z., Hu, B., Huang, W., Yuan, C., and Zou, L. (2018). Response of gut microbiota to metabolite changes induced by endurance exercise. Front. Microbiol. 9:765. doi: 10.3389/fmicb.2018.00765

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: resistance exercise, endurance exercise, murine models, metagenomics, physical performance

Citation: Fernández J, Fernández-Sanjurjo M, Iglesias-Gutiérrez E, Martínez-Camblor P, Villar CJ, Tomás-Zapico C, Fernández-García B and Lombó F (2021) Resistance and Endurance Exercise Training Induce Differential Changes in Gut Microbiota Composition in Murine Models. Front. Physiol. 12:748854. doi: 10.3389/fphys.2021.748854

Received: 09 August 2021; Accepted: 01 December 2021;
Published: 24 December 2021.

Edited by:

Silvia Turroni, University of Bologna, Italy

Reviewed by:

Jing Li, Shandong University, China
Monica Barone, University of Bologna, Italy

Copyright © 2021 Fernández, Fernández-Sanjurjo, Iglesias-Gutiérrez, Martínez-Camblor, Villar, Tomás-Zapico, Fernández-García and Lombó. 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.

*Correspondence: Cristina Tomás-Zapico, tomascristina@uniovi.es

†These authors have contributed equally to this work and share first authorship

‡These authors have contributed equally to this work and share senior authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

 

 

 

Nutrigenomics Institute is not responsible for the comments and opinions included in this article

 

Category: NewsJune 20, 2022Leave a comment
Tags: microbiome effects sportsmicrobiome sportsmicrobiota physical activitymicrobiota physical exercisemicrobiota sports

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