Gut microbiota and inflammation patterns for specialized athletes: a multi-cohort study across different types of sports

(Darmmikrobiota und Entzündungsmuster bei spezialisierten Sportlern: eine Multikohortenstudie über verschiedene Sportarten hinweg)

Regular high-intensity exercise can cause changes in athletes` gut microbiota, and the extent and nature of these changes may be affected by the athletes` exercise patterns. However, it is still unclear to what extent different types of athletes have distinct gut microbiome profiles and whether we can effectively monitor an athlete`s inflammatory risk based on their microbiota. To address these questions, we conducted a multi-cohort study of 543 fecal samples from athletes in three different sports: aerobics (n = 316), wrestling (n = 53), and rowing (n = 174). We sought to investigate how athletes` gut microbiota was specialized for different types of sports, and its associations with inflammation, diet, anthropometrics, and anaerobic measurements. We established a microbiota catalog of multi-cohort athletes and found that athletes have specialized gut microbiota specific to the type of sport they engaged in. Using latent Dirichlet allocation, we identified 10 microbial subgroups of athletes` gut microbiota, each of which had specific correlations with inflammation, diet, and anaerobic performance in different types of athletes. Notably, most inflammation indicators were associated with Prevotella-driven subgroup 7. Finally, we found that the effects of sport types and exercise intensity on the gut microbiota were sex-dependent. These findings shed light on the complex associations between physical factors, gut microbiota, and inflammation in athletes of different sports types and could have significant implications for monitoring potential inflammation risk and developing personalized exercise programs.
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Bibliographische Detailangaben
Schlagworte:
Notationen:Biowissenschaften und Sportmedizin
Tagging:Mikrobiotika Bakterium
Veröffentlicht in:mSystems
Sprache:Englisch
Veröffentlicht: 2023
Online-Zugang:https://doi.org/10.1128/msystems.00259-23
Jahrgang:8
Heft:4
Seiten:e00259-23
Dokumentenarten:Artikel
Level:hoch