Modulation of human gut microbiota composition and metabolites by arabinogalactan and Bifidobacterium longum subsp. longum BB536 in the Simulator of the Human Intestinal Microbial Ecosystem (SHIME®)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Mucosal-Simulator of the Human Intestinal Microbial Ecosystem (SHIME) was used to differentiate the gut microbial fermentation of arabinogalactan (AG) and starch before (T1), during (T2), and after (T3) one-week Bifidobacterium longum subsp. longum BB536 supplementation. Adding 10 g/L of either AG or starch to the basal medium (T1) promoted short-chain fatty acid (SCFA) production in three successive SHIME colon vessels. AG fermentation (T1) resulted in higher total SCFAs (P < 0.05) and luminal live Faecalibacterium prausnitzii (P < 0.0001) in the transverse colon than starch fermentation (T1). Compared to AG fermentation alone (T1), B. longum supplementation (T2) significantly enhanced butyrate production (P < 0.05) and the abundance of luminal live F. prausnitzii (P < 0.0001) in the transverse colon. The results indicate that combining a potential prebiotic and a probiotic strain increases SCFA production and particular gut commensals which could have a beneficial effect on gut health.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it