Identification of a novel metallo-β-lactamase, CAM-1, in clinical Pseudomonas aeruginosa isolates from Canada
Bibliographic record
Abstract
OBJECTIVES: To identify the β-lactamase responsible for the positive detection of carbapenemase production in four clinical isolates of Pseudomonas aeruginosa that were negative by PCR for KPC, OXA-48, NDM, VIM, IMP, GES and NMC/IMI carbapenemase genes. METHODS: WGS using short-read and long-read methods was used to characterize the isolates. Bioinformatic analysis was used to identify the potential gene encoding a carbapenemase. Cloning, antimicrobial susceptibility testing and biochemical and phenotypic characterization were used to determine metallo-enzyme activity. Single-nucleotide variant (SNV) typing was used to determine strain relatedness. Conjugation experiments were used to determine transmissibility of the novel carbapenemase-encoding gene. RESULTS: WGS analysis revealed a novel class B β-lactamase gene, blaCAM-1 (Central Alberta Metallo-β-lactamase), located in a 73 kb integrative element, named IMEPaCAM-1, in the chromosome of four clinical isolates of P. aeruginosa. The cloned blaCAM-1 gene conferred carbapenem resistance to Escherichia coli TOP10. The four isolates, which were all closely related, were from three patients, all of whom spent time in the same hospital in 2008 and/or 2009. IMEPaCAM-1 could not be transferred by conjugation. CONCLUSIONS: A novel metallo-enzyme, CAM-1, is encoded on an integrative element, IMEPaCAM-1, located in the chromosome of clinical isolates of P. aeruginosa. No additional isolates harbouring CAM-1 have been identified in Alberta since 2007.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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".