Impact of<i>Bifidobacterium bifidum</i>MIMBb75 on mouse intestinal microorganisms
Bibliographic record
Abstract
Bifidobacterium bifidum MIMBb75 is a recently identified probiotic. However, its distribution along the intestine and impact on resident microbiota is unknown. Herein, we established a quantitative real-time polymerase chain reaction assay targeting the B. bifidum-specific BopA region for the quantification of B. bifidum in feces and used this assay to investigate transit of B. bifidum MIMBb75 through the murine intestine. We also analyzed the consequential impact on resident microbial cohorts. C57BL/6J mice were daily gavaged with 0.2 mL of either sterile PBS or PBS containing 10(8) colony-forming units of B. bifidum MIMBb75 for 2 weeks, after which intestinal contents and fecal samples were analyzed for microbial compositional changes. Bifidobacterium bifidum MIMBb75 was able to transiently colonize the murine intestine, with the predominant niche being the ceco-proximal colonic region. Region-specific effects on host microbiota were observed including decreased levels of Clostridium coccoides in the cecum, increased levels of bifidobacteria in the proximal and distal colon, total bacteria and Clostridium leptum in the proximal colon, and of C. coccoides in the feces. These findings suggest that probiotic properties of B. bifidum MIMBb75 may partially depend on its ability to at least transiently colonize the intestine and impact on the resident microbial communities at various intestinal loci.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".