Impact of Heyndrickxia (Bacillus) coagulans GBI-30, 6086 (BC30) probiotic on gastrointestinal function in healthy adults: a randomised controlled trial
Bibliographic record
Abstract
Many healthy people complain of functional gastrointestinal (GI) tract symptoms that do not fit diagnostic criteria for established diseases. Disrupted intestinal microbiomes are associated with these functional conditions, thus the use of beneficial bacteria shown to restore the protective microbiome may be useful. Our aims were to determine if Heyndrickxia (Bacillus) coagulans GBI-30, 6086 (BC30) would improve GI functions in healthy adults living in China and to determine its effect on the GI microbiome. Healthy adults ( n = 111, 18-65 years old) with functional GI complaints were enrolled in a prospective, double-blind trial and randomised (by random number table) to either BC30 (1 × 109/day) or placebo for four weeks. Outcomes were analysed by ANOVA or the Wilcoxon tests or with mixed regression models. Functional GI symptoms improved significantly in adults given BC30 compared to placebo: increase in number of stools/week ( P = 0.036), improved fecal consistency ( P < 0.001) and fewer participants had constipation ( P < 0.001). Four weeks of BC30 increased intestinal Bacteroides levels and reduced Clostridium, Blautia, Ruminococcus levels but did not otherwise alter the general microbiome. BC30 significantly improved GI functions in healthy adults in China, with minor modifications of the fecal microbiome and was well-tolerated. The trial was registered at ClinicalTrials.gov (NCT06644001).
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".