Antibiotic-Loaded Calcium Crosslinked Alginate Wound Dressings Fabricated via Pressurized Gas eXpanded Liquids Technology in Combination with Supercritical Adsorptive Precipitation for Treating Methicillin-Resistant <i>Staphylococcus</i> Infections
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
Antibiotic resistance is a major healthcare challenge globally, and the development of antimicrobial therapies and modes for their targeted delivery is not keeping pace. Many promising antimicrobial candidates are abandoned early in discovery because of their high hydrophobicity and low bioavailability, limiting their evaluation in preclinical models. Therefore, developing drug delivery technologies compatible with potent yet hydrophobic antimicrobial candidates could revitalize a stagnant antibiotic pipeline. Herein, we combined Pressurized Gas eXpanded liquid technology (PGX TEC ) with supercritical adsorptive precipitation to load and subsequently deliver poorly water-soluble antimicrobial compounds directly to an infected wound. PGX TEC -processed cross-linked sodium alginate compressed into disks exhibits extremely high specific surface area (∼160 m 2 /g) to enable drug impregnation and effective exudate absorption. As proof of concept, PGX TEC alginate disks loaded with fusidic acid (FA) suppressed bacterial growth in full thickness wounds infected with methicillin-resistant Staphylococcus aureus (MRSA); furthermore, PGX TEC disks loaded with tigecycline (TIG), typically considered a bacteriostatic antibiotic when used conventionally against MRSA, sterilized wounds with bactericidal activity even at low overall drug doses relative to the conventionally used therapeutic doses for intravenous TIG. PGX TEC combined with adsorptive precipitation is thus a flexible platform technology to deliver hydrophobic antibiotics in a bioavailable format, offering the potential to revive classes of antimicrobial compounds that are excluded early in the discovery process due to low water solubility and incompatible modes of delivery.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it