A Subtype of a<i>Pseudomonas aeruginosa</i>Cystic Fibrosis Epidemic Strain Exhibits Enhanced Virulence in a Murine Model of Acute Respiratory Infection
Bibliographic record
Abstract
BACKGROUND: The Liverpool epidemic strain (LES) of Pseudomonas aeruginosa is a particularly successful cystic fibrosis (CF) pathogen associated with transmissibility, increased patient morbidity, and, unusually, infection of the non-CF parents of a patient with CF. METHODS: Using assays for virulence-associated exoproducts, biofilm formation, Caenorhabditis elegans killing, and a murine model of acute respiratory infection, we compared the pathogenic behavior of representatives of 4 subtypes of the LES, including LES431, an isolate associated with the infection of a parent without CF. RESULTS: The quorum-sensing-defective lasR mutant LES400 produced less exoproduct and had less C. elegans killing activity than the other LES subtypes, which were represented by LES431, LESB58, and LESB65. LES431 was deficient in biofilm formation, compared with the other LES sub-types. The LES subtypes displayed a range of virulence in the mouse model, with LES431 being by far the most virulent. The genome-sequenced isolate LESB58, effective at establishing infections in a rat model of chronic infection, was the least virulent subtype in the murine acute infection model. CONCLUSIONS: LES isolates display widely variable pathogenic characteristics. LES431, associated with transmission to the non-CF parent of a CF patient, represents a "hypervirulent" subtype more adapted to acute infections than chronic infections.
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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) | 0.000 | 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 | 0.001 |
| 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".