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The Contrasting Effects of Two Distinct Exercise Training Modalities on Exhaustive Exercise-Induced Muscle Damage in Mice May Be Associated with Alterations in the Gut Microbiota

Overview
Journal Int J Mol Sci
Publisher MDPI
Date 2024 Jul 27
PMID 39063080
Authors
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Abstract

Exhaustive exercise is known to induce muscle damage characterized by inflammation and oxidative stress. Although "regular" and "weekend warrior" exercise regimens have been shown to confer comparable health benefits in human studies, such as reduced risks of all-cause, cardiovascular disease (CVD), and cancer mortality, their differential impacts on muscle damage post-exhaustive exercise remain unclear. This study aimed to compare the effects of long-term, moderate-intensity (LTMI) and short-term, high-intensity (STHI) training modalities, matched for total exercise volume, on gut microbiota, short-chain fatty acids (SCFAs), and exhaustive exercise-induced muscle damage in mice, as well as to evaluate the correlation between these factors. LTMI is considered a regular exercise regimen, while STHI shares some similarities with the "weekend warrior" pattern, such as promoting exercise intensity and condensing training sessions into a short period. Our findings indicate that LTMI training significantly enhanced the abundance of SCFA-producing bacteria, including , , , , and , thereby increasing SCFA levels and attenuating muscle damage following exhaustive swimming. In contrast, STHI training increased the abundance of opportunistic pathogens such as and , without altering SCFA levels, and was associated with exacerbated muscle damage. Moreover, we observed a significant negative correlation between the abundance of SCFA-producing bacteria and SCFA levels with the expression of inflammatory cytokines in the muscle of mice post-exhaustive exercise. Conversely, the abundance of and showed a notable positive correlation with these cytokines. Additionally, the effects of LTMI and STHI on exhaustive exercise-induced muscle damage were transmissible to untrained mice via fecal microbiota transplantation, suggesting that gut microbiota changes induced by these training modalities may contribute to their contrasting impacts on muscle damage. These results underscore the significance of selecting an appropriate training modality prior to engaging in exhaustive exercise, with implications for athletic training and injury prevention.

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References
1.
Ridaura V, Faith J, Rey F, Cheng J, Duncan A, Kau A . Gut microbiota from twins discordant for obesity modulate metabolism in mice. Science. 2013; 341(6150):1241214. PMC: 3829625. DOI: 10.1126/science.1241214. View

2.
Liang J, Huang S, Pu Y, Zhao Y, Chen Y, Jiang N . Whether weekend warrior activity and other leisure-time physical activity pattern reduce the risk of depression symptom in the representative adults? A population-based analysis of NHANES 2007-2020. J Affect Disord. 2023; 340:329-339. DOI: 10.1016/j.jad.2023.07.113. View

3.
Olson C, Iniguez A, Yang G, Fang P, Pronovost G, Jameson K . Alterations in the gut microbiota contribute to cognitive impairment induced by the ketogenic diet and hypoxia. Cell Host Microbe. 2021; 29(9):1378-1392.e6. PMC: 8429275. DOI: 10.1016/j.chom.2021.07.004. View

4.
Wegierska A, Charitos I, Topi S, Potenza M, Montagnani M, Santacroce L . The Connection Between Physical Exercise and Gut Microbiota: Implications for Competitive Sports Athletes. Sports Med. 2022; 52(10):2355-2369. PMC: 9474385. DOI: 10.1007/s40279-022-01696-x. View

5.
Chen S, Zhou Y, Chen Y, Gu J . fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics. 2018; 34(17):i884-i890. PMC: 6129281. DOI: 10.1093/bioinformatics/bty560. View