Fluoroquinolone resistance of Serratia marcescens: involvement of a proton gradient-dependent efflux pump
Bibliographic record
Abstract
OBJECTIVE: To determine the presence of a proton gradient-dependent efflux of fluoroquinolone drugs in Serratia marcescens. METHODS: Thirteen clinical isolates of S. marcescens were screened for resistance to four fluoroquinolones: ofloxacin, ciprofloxacin, norfloxacin and nalidixic acid by determining MICs. The presence of a proton gradient-dependent efflux mechanism was assessed using ethidium bromide accumulation assays. Drug accumulation studies for norfloxacin, ciprofloxacin and ofloxacin were performed to determine the drug specificity of efflux. Western transfer of cellular proteins, followed by immunodetection using anti-AcrA (Escherichia coli) antibodies were used to demonstrate the presence of a resistance-nodulation-cell division (RND) pump protein. PCR was used to identify a RND pump-encoding gene using primers for two conserved motifs within inner membrane components of RND proteins. A mutant strain of S. marcescens, UOC-67WL, was isolated by culturing the wild-type strain in the presence of ciprofloxacin in T-soy media and was subjected to the same studies as described above for the clinical isolates. RESULTS: Ethidium bromide accumulation assays confirmed the presence of a proton gradient-dependent efflux mechanism in S. marcescens. One clinical isolate, T-861, and the mutant strain, UOC-67WL, were found to efflux ciprofloxacin and ofloxacin. Western immunoblot results confirmed overexpression of an AcrA-like protein in T-861 and UOC-67WL. Sequencing of the PCR product showed the presence of a mexF-like gene, which is overexpressed in nfxC mutants of Pseudomonas aeruginosa. CONCLUSION: This study reports the presence of a proton gradient-dependent efflux mechanism in S. marcescens.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".