Liposomal tobramycin against pulmonary infections of Pseudomonas aeruginosa: a pharmacokinetic and efficacy study following single and multiple intratracheal administrations in rats
Bibliographic record
Abstract
OBJECTIVE: To determine the pharmacokinetics and efficacy of tobramycin against pulmonary infections of Pseudomonas aeruginosa in rats after intratracheal administration of conventional and liposomal formulations. METHODS: Male Sprague-Dawley rats were inoculated with 10(6) cfu of a mucoid variant of P. aeruginosa (MIC of tobramycin for PA 508 = 1 mg/l) and tobramycin (conventional or liposomal formulations) was administered in single (490 microg) and multiple dose (490 microg during 4 days) experiments. Rats were killed at multiple time points to determine the residual cfu of P. aeruginosa and tobramycin amounts in lungs. Pharmacokinetic parameters were calculated using a two-compartment model with NONMEM. RESULTS: Mean (+/-S.D.) elimination half-life (t(1/2beta)) and pulmonary exposure (AUC) of the conventional formulation were 14.0 +/-4.0 h and 663 +/-89 microg x h/lungs, respectively. The pharmacokinetic profile of liposomal tobramycin was markedly different, with a longer t(1/2beta) (34.4 +/-5 h, P < 0.05), resulting in an increased AUC (3890 +/-560 microg x h/lungs, P < 0.05). chi(2) analyses were carried out on cfu data distributed in the following categories: below 10(3), 10(3)-10(5), and above 10(5) cfu. In the single dose experiments, approximately 90% of the observations were above 10(5) cfu for both formulations. Significant differences in cfu distribution were observed after multiple treatments, with approximately 10% of the observations falling below 10(3) cfu of P. aeruginosa for the conventional formulation versus 30% for the liposomal formulation. CONCLUSION: The liposomal formulation of tobramycin promoted drug retention in lungs and improved its efficacy after multiple treatments.
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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".