Gut microbiome and blood biomarkers reveal differential responses to aerobic and anaerobic exercise in collegiate men of diverse training backgroundsOriginal paper
What was studied?
This study asked whether exercise type and training background produce different blood biomarker and gut microbiome responses to maximal effort. Participants completed two maximal tests: the anaerobic Wingate cycling test and the aerobic Bruce treadmill test. Blood was drawn at five time points and stool at three around each test. Serum markers were measured by Luminex assay, and gut bacteria by shotgun metagenomics, then serum and microbiome data were correlated to find modality-specific patterns.
Who was studied?
The cohort was 52 male collegiate participants in Gdansk, Poland: 15 endurance athletes, 16 strength athletes, and 21 physically active controls. Endurance and strength athletes each had at least 5 years of training in their discipline. This was a human, repeated-measures, case-control study. The two exercise tests were separated by a 14-day break. A key limitation is the small, relatively homogeneous sample and no formal dietary tracking.
What were the most important findings?
Most biochemical markers, including oncostatin M, IL-15, FSTL1, and leptin, changed similarly across all groups after exercise. SPARC and adiponectin were the exceptions, responding differently by exercise modality; adiponectin fell after the Wingate test but stayed steady after the Bruce test. Strength athletes showed unique microbiome-biomarker links after the anaerobic Wingate test. Baseline enrichment of two specific gut bacterial species marked strength athletes with a blunted response to the aerobic Bruce test.
What are the greatest implications of this study?
The findings suggest that exercise type and training history, together with baseline gut microbiome makeup, may shape how the body recovers from intense exercise. Butyrate producers in endurance athletes correlated with muscle-recovery and iron-metabolism markers, hinting at a gut-muscle axis. Because the cohort was small and diet was not tracked, these are preliminary associations, not causal links. The authors call for larger, longitudinal studies before any microbiome-targeted training strategies are considered.