Lyophilized Bryndza cheese capsules increase butyrate-producing gut bacteria in recreational athletes: A randomized controlled trial
Bibliographic record
Abstract
Bryndza, a traditional sheep cheese from Eastern Europe, is a natural source of probiotic lactic acid bacteria (LAB). This study investigated the effects of encapsulated bryndza probiotic capsules on the gut microbiome and metabolome of young athletes. Recreational runners ( n = 26 experimental; n = 18 control) completed an 8-week intervention. Participants in the experimental group consumed Bryndza capsules. Stool samples and body composition were collected before and after intervention. Microbiota composition was analyzed by 16S rRNA gene sequencing, and fecal metabolites were measured using nuclear magnetic resonance spectroscopy. Bryndza capsules contained viable LAB, including Lacticaseibacillus paracasei , Lactococcus lactis , Leuconostoc mesenteroides , and Enterococcus species. No changes in body composition were observed. In the experimental group, butyrate-producing bacteria, such as Anaerostipes hadrus , Eubacterium ventriosum , and Faecalibacterium prausnitzii , increased significantly. Our findings indicate that lyophilized and encapsulated Bryndza retains probiotic activity and positively modulates the gut microbiome, particularly by enhancing butyrate-producing bacteria. • Encapsulated Bryndza preserved viability of traditional probiotic strains. • Bryndza capsules increased butyrate-producing gut bacteria in recreational runners. • Probiotic effect observed without increasing lactic acid bacteria in stool. • No coliform overgrowth confirmed microbiological safety of Bryndza capsules.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".