Preserving the Efficacy of Glycopeptide Antibiotics during Nanoencapsulation in Liposomes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Liposome nanovesicles are attractive vehicles for encapsulation and localized delivery of antibiotics. Most liposomal batch preparation processes involve numerous freeze–thaw cycles and heating or sonication steps, all of which can potentially deactivate or degrade antibiotics. We investigated the extent of antibiotic deactivation during various liposomal preparation methods using two glycopeptide antibiotics clinically administered for Staphylococcus infections, namely, vancomycin hydrochloride and teicoplanin. Both antibiotics, in the nonencapsulated state, were found to be highly sensitive to the freeze–thaw/sonication; vancomycin completely lost efficacy after only three cycles of freeze–thaw, and teicoplanin lost efficacy after 20 min of sonication. When the antibiotics were encapsulated in liposomes, vancomycin retained full potency against bacterial cultures of Staphylococcus aureus but encapsulated teicoplanin suffered a decrease in activity. Differential scanning calorimetry and mass spectrometry suggest that liposomes have a protective effect on the encapsulated antibiotic, the extent of which was found to differ on the basis of the processing conditions.
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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) | 0.001 | 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 it