Transcriptome analysis of the <i>Clostridioides difficile</i> response to a specific lactobacilli probiotic formulation: explanations for its mechanisms of action
Bibliographic record
Abstract
AIMS: Clostridioides difficile infections (CDI) are a major cause of morbidity and mortality in hospitalized patients. A probiotic formulation (Bio-K+) comprised of Lactobacillus acidophilus CL1285, Lacticaseibacillus casei LBC80R, and Lacti. rhamnosus CLR2 strains have been shown to reduce the incidence of CDI and antibiotic-associated diarrhea (AAD). This research aims to therefore elucidate the mechanism of action of the three probiotic strained against C. difficile R20291, independently of the acidification of the environment. . METHODS AND RESULTS: Antitoxin activity was evaluated using ELISA method and the expression of C. difficile genes was evaluated using transcriptomic analysis in co-culture assays conducted in a bioreactor allowing precise control of the pH. The fermentation results demonstrated a decrease for toxin A and many genes directly related to C. difficile virulence were underexpressed in the co-cultures. CONCLUSIONS: The lactobacilli tested could have a role in the motility, the quorum sensing (QS), the survival of the spores, and the germination potential of the spores, which are essential elements for the virulence of C. difficile. .
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".