Characterization of clonal strains of<i>Pseudomonas aeruginosa</i>isolated from cystic fibrosis patients in Ontario, Canada
Bibliographic record
Abstract
Pseudomonas aeruginosa is an opportunistic pathogen that can form biofilms in the lungs and airways of cystic fibrosis (CF) patients, resulting in chronic endobronchial infection. Two clonal strains of P. aeruginosa, named type A and type B, have recently been identified and have been found to infect more than 20% of CF patients in Ontario, Canada. In this study, 4 type A and 4 type B isolates retrieved from 8 CF patients in Ontario, Canada, were characterized. All 8 isolates grew well in rich medium and formed biofilms in vitro. Antibiotic resistance profiles of bacteria grown in biofilms and planktonic culture were studied via minimal bactericidal concentration assays for tobramycin, gentamicin, and ciprofloxacin. Compared to laboratory strains of P. aeruginosa, all 8 isolates showed increased resistance to all antibiotics studied in both biofilm and planktonic assays. Gene expression analysis of mexX, representing the MexXY-OprM efflux pump, and mexA, representing MexAB-OprM, revealed that these genes were up-regulated in the 8 clinical isolates. These results suggest clonal type A and type B isolates of P. aeruginosa isolated from CF patients in Ontario, Canada, show a multidrug resistance pattern that can be partially explained as being due to the increased expression of common antibiotic efflux systems.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".