<i>Clostridioides difficile</i> phage biology and application
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
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it