<i>Clostridioides difficile</i> phage biology and application
Bibliographic record
Abstract
Clostridium difficile, now reclassified as Clostridioides difficile, is the causative agent of C. difficile infections (CDI). CDI is particularly challenging in healthcare settings because highly resistant spores of the bacterium can persist in the environment, making it difficult to curb outbreaks. Dysbiosis of the microbiota caused by the use of antibiotics is the primary factor that allows C. difficile to colonize the gut and cause diarrhea and colitis. For this reason, antibiotics targeting C. difficile can be ineffective at preventing recurrent episodes because they exacerbate and prolong dysbiosis. The emergence of antibiotic resistance in C. difficile also presents a significant threat. The diverse array of bacteriophages (phages) that infect C. difficile could offer new treatment strategies and greater insight into the biology of the pathogen. In this review, we summarize the current knowledge regarding C. difficile phages and discuss what is understood about their lifestyles and genomics. Then, we examine how phage infection modifies bacterial gene expression and pathogenicity. Finally, we discuss the potential clinical applications of C. difficile phages such as whole phage therapy and phage-derived products, and we highlight the most promising strategies for further development.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".