Accelerated healing of cutaneous wounds using phytochemically stabilized gold nanoparticle deposited hydrocolloid membranes
Why this work is in the frame
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Bibliographic record
Abstract
Rapid healing of dermatological wounds is of vital importance in preventing infection and reducing post-treatment side-effects. Here we report the therapeutic effects of phytochemically stabilized gold nanoparticles (pAuNPs) coated on a hydrocolloid membrane (HCM) for curing cutaneous wounds. Furthermore, the remedial effects of pAuNPs on skin regeneration and angiogenesis were examined using Sprague Dawley® (SD) rats with skin injuries after a pAuNP-deposited hydrocolloid membrane (pAuNP-HCM) had been applied for 15 days. The rate of wound closure was 4 times faster in the pAuNP-HCM-treated group than in the gauze (GZ)- or HCM-treated groups in the first 5 days. Moreover, wound widths in the pAuNP-HCM-treated group were significantly reduced after 5-15 days of treatment following the injury, compared with the other groups. In addition, a significant increase in collagen expression and a decrease in matrix metalloproteinase (MMP)-1 expression and transforming growth factor (TGF-β1) concentration were observed in the pAuNP-HCM-treated group on day 5. Wound tissue applied with the pAuNP-HCM showed enhancement of vascular endothelial growth factor (VEGF), angiopoietin 1 (Ang-1), and angiopoietin 2 (Ang-2) expression. Furthermore, the activity of superoxide dismutases (SODs) was significantly increased in the skin tissue of the pAuNP-HCM-treated group, compared with the GZ- or HCM-treated groups. It is probable that the accelerated process of wound healing in the injured skin of SD rats via pAuNP-HCM results from the synergistic regulation of angiogenesis and connective tissue formation, as well as the stimulation of antioxidant effects.
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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 | 0.001 |
| 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 it