Unravelling the Programmed Inflammation and Tissue Repair by a Multipotential Antimicrobial K21 Silane
Bibliographic record
Abstract
AIMS AND OBJECTIVES: To examine if a novel antimicrobial silane K21 can alter macrophage polarisation and affect fibroblast proliferation by deciphering the molecular pathways for programmed healing using a combined in vitro and in vivo (animal) burn model. MATERIALS AND METHODS: An injectable silane-based antimicrobial aimed to modulate macrophage polarisation was manufactured. Experimental analysis included colorimetric cell migration assays on gingival fibroblasts, macrophage phagocytosis characterisation, immunofluorescence staining, triacylglycerol accumulation within macrophages by LCMS, cellular metabolic/proliferation assays, macrophage exposure quantification with morphology assessment using FE-SEM, Raman spectral analysis, RNA isolation for relative gene expression and animal study model to morphometrically and microscopically analyse partial thickness burn wound healing under QAS/K21. RESULTS: M1 and M2 polarisation both appeared exaggerated under QAS/K21 treatment. The wounds treated with K21 had depicted accelerated healing as compared to control (P < .05) in dorsal skin of rabbits. Relative gene expression results demonstrate reduced cytokine and anti-inflammatory response under the influence of K21. While M1 expression, TG accumulation, and associated characterisations demonstrate the programmed inflammatory potential of K21. CONCLUSION: the antimicrobial and reparative efficacy of K21 silane aids in programmed inflammation for enhanced tissue healing and repair.
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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".