Microbiome features associated with performance measures in athletic and non-athletic individuals: A case-control study
Kinga Humińska‐Lisowska, Kinga Zielińska, Jan Mieszkowski, Monika Michałowska‐Sawczyn, Paweł Cięszczyk, Paweł P. Łabaj et al. · 2024 · 25 citationsRead the paper
The influence of human gut microbiota on health and disease is now commonly appreciated. Therefore, it is not surprising that microbiome research has found interest in the sports community, hoping to improve health and optimize performance. Comparative studies found new species or pathways that were more enriched in elites than sedentary controls. In addition, sport-specific and performance-level-specific microbiome features have been identified. However, the results remain inconclusive and indicate the need for further assessment. In this case-control study, we tested two athletic populations (i.e. strength athletes, endurance athletes) and a non-athletic, but physically active, control group across two acute exercise bouts, separated by a 2-week period, that measured explosive and high intensity fitness level (repeated 30-s all-out Wingate test (WT)) and cardiorespiratory fitness level (Bruce Treadmill Test). While we did not identify any group differences in alpha and beta diversity or significant differential abundance of microbiome components at baseline, one-third of the species identified were unique to each group. Longitudinal sample (pre- and post-exercise) analysis revealed an abundance of Alistipes communis in the strength group during the WT and 88 species with notable between-group differences during the Bruce Test. SparCC recognized Bifidobacterium longum and Bifidobacterium adolescentis, short-chain fatty acid producers with probiotic properties, species strongly associated with VO2max. Ultimately, we identified several taxa with different baseline abundances and longitudinal changes when comparing individuals based on their VO2max, average power, and maximal power parameters. Our results confirmed that the health status of individuals are consistent with assumptions about microbiome health. Furthermore, our findings indicate that microbiome features are associated with better performance previously identified in elite athletes.
What the full text shows
Shown in the lab- Positive correlation between Bifidobacterium adolescentis and VO2max — r = 0.18 (SparCC analysis of fitness parameters)
- Positive correlation between Bifidobacterium longum and VO2max — r = 0.14 (SparCC analysis of fitness parameters)
- Positive correlation between Phocaeicola vulgatus and fitness score — r = 0.17 (SparCC analysis of fitness parameters)
- Negative correlation between Roseburia intestinalis and fitness score — r = -0.17 (SparCC analysis of fitness parameters)
- Species unique to each group at baseline — 34% of identified species (Comparison of strength, endurance, and control groups)
- Positive correlation between common SCFA producers (Blautia wexlerae, Eubacterium rectale, Intestinimonas timonensis) and maximal power (Wingate test (WT))
- Setup
- 52 men divided into endurance athletes (n=15), strength athletes (n=16), and physically active controls (n=21).
- How
- Case-control study using shotgun metagenomic sequencing of fecal samples collected before and after two acute exercise bouts (Wingate test and Bruce Treadmill Test). Data were analyzed using Metaphlan4, Humann 3.6, Qiime2, and SparCC for correlation analysis.
- Limitations
- Small sample size · Lack of detailed nutritional analysis to determine diet influence on enterotypes · No strain-level taxonomy determined
Summarized by Gemma 4 from the open-access full text · 8 Oct 2026. Read it