Phenotypic and Genotypic Characterization of Food Animal Isolates of <i>Salmonella</i> with Reduced Sensitivity to Ciprofloxacin
Bibliographic record
Abstract
Reports of nontyphoidal Salmonella enterica subsp. enterica showing reduced sensitivity to ciprofloxacin (RSC) have increased rapidly during the past decade. Infection in humans with Salmonella possessing RSC may compromise the effectiveness of ciprofloxacin therapy. Nineteen among 4,357 Salmonella strains isolated from food animals in Canada from 1998 to 1999 showed RSC; 17 were from turkeys and 2 from chickens. All were resistant to nalidixic acid and sulfisoxazole and possessed RSC at a level of 0.125-0.5 microg/ml. PCR-RFLP of the gyrA quinolone resistance-determining region (QRDR) with Hinfl revealed that S. Bredeney and S. Heidelberg isolates possessed a mutation in this region. Single-strand conformational polymorphism (SSCP) analysis showed that S. Schwarzengrund and S. Senftenberg isolates also possessed a point mutation in the QRDR. DNA sequencing confirmed the findings and showed that all isolates possessed a base substitution in the gyrA QRDR. Sequencing revealed no mutations in the gyrB and silent wobble mutations in the parC QRDR. Reserpine, a known efflux pump inhibitor, did not effect the MICs for ciprofloxacin, nalidixic acid, and tetracycline. The mar operon could be induced in all isolates at 37 degrees C and in 18 of 19 at 30 degrees C; induction resulted in a two- to four-fold increase in the MIC of ciprofloxacin. In 14 of the 19 isolates, the mutation rate was two-fold or higher than in a ciprofloxacin sensitive S. Bredeney and S. Typhimurium LT2 control strain. Examination of clonal relatedness using pulsed-field gel electrophoresis (PFGE) and plasmid profiles indicated that some degree of clonal dispersion may have occurred, but the majority of isolates may have arisen from de novo mutations.
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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 | 0.000 | 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".