Molecular Analysis of the Accessory Gene Regulator<i>(agr)</i>Locus and Balance of Virulence Factor Expression in Epidemic Methicillin‐Resistant<i>Staphylococcus aureus</i>
Bibliographic record
Abstract
Potential relationships between virulence factor expression and transmissibility were assessed in epidemic methicillin-resistant Staphylococcus aureus (MRSA) clones CMRSA-1 and CMRSA-3. A major subtype of CMRSA-1 exhibited normal transcription of RNAIII, which facilitates the induction of secreted virulence factors and repression of colonization factor expression at high cell density. However, these isolates characteristically did not express alpha-toxin or protease and displayed a limited profile of secreted proteins. CMRSA-1 also expressed a novel cell surface glycoprotein and exhibited a unique polymorphism within the accessory gene regulator (agr) locus. CMRSA-3 displayed attenuated activation of RNAIII transcription, which was consistent with its higher fibronectin-binding and coagulase activity relative to sporadic MRSA or CMRSA-1 (P=.05), low protease activity, and limited profile of secreted proteins. Thus, the balance of virulence factor expression in CMRSA-1 and CMRSA-3 favors the colonization phase of infection, and CMRSA-1 possesses unique genotypic and phenotypic traits.
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.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".