Indole-3-carbinol loaded-nanocapsules modulated inflammatory and oxidative damages and increase skin wound healing in rats
Why this work is in the frame
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Bibliographic record
Abstract
This study evaluated the effects of topically applied hydrogels (HG) containing nanoencapsulated indol-3-carbinol (I3C) and its free form in a rat model of skin wounds. Formulations were topically applied twice a day for five days to the wounds. On days 1, 3, and 6, the wound area was measured to verify the % of regression. On the sixth day, the animals were euthanized for the analysis of the inflammatory and oxidative profile in wounds. The nanocapsules (NC) exhibited physicochemical characteristics compatible with this kind of suspension. After five hours of exposure to ultraviolet C, more than 78% of I3C content in the suspensions was still observed. The NC-I3C did not modify the physicochemical characteristics of HG when compared to the HG base. In the in vivo study, an increase in the size of the wound was observed on the 3rd experimental day, which was lower in the treated groups (mainly in HG-NC-I3C) compared to the control. On the 6th day, HG-I3C, HG-NC-B, and HG-NC-I3C showed lower regression of the wound compared to the control. Additionally, HG-NC-I3C exhibited an anti-inflammatory effect (as observed by decreased levels of interleukin-1B and myeloperoxidase), reduced oxidative damage (by decreased reactive species, lipid peroxidation, and protein carbonylation levels), and increased antioxidant defense (by improved catalase activity and vitamin C levels) compared to the control. The current study showed more satisfactory results in the HG-NC-I3C group than in the free form of I3C in decreasing acute inflammation and oxidative damage in wounds.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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