A Tobramycin Vector Enhances Synergy and Efficacy of Efflux Pump Inhibitors against Multidrug-Resistant Gram-Negative Bacteria
Bibliographic record
Abstract
Drug efflux mechanisms interact synergistically with the outer membrane permeability barrier of Gram-negative bacteria, leading to intrinsic resistance that presents a major challenge for antibiotic drug development. Efflux pump inhibitors (EPIs) which block the efflux of antibiotics synergize antibiotics, but the clinical development of EPI/antibiotic combination therapy to treat multidrug-resistant (MDR) Gram-negative infections has been challenging. This is in part caused by the inefficiency of current EPIs to penetrate the outer membrane and resist efflux. We demonstrate that conjugation of a tobramycin (TOB) vector to EPIs like NMP, paroxetine, or DBP enhances synergy and efficacy of EPIs in combination with tetracycline antibiotics against MDR Gram-negative bacteria including Pseudomonas aeruginosa. Besides potentiating tetracycline antibiotics, TOB-EPI conjugates can also suppress resistance development to the tetracycline antibiotic minocycline, thereby providing a strategy to develop more effective adjuvants to rescue tetracycline antibiotics from resistance in MDR Gram-negative bacteria.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".