Transforming growth factor-β (TGF-β) activation in cutaneous wounds after topical application of aloe vera gel
Bibliographic record
Abstract
Aloe vera is a medicinal plant used to treat various skin diseases. The effects of using aloe vera gel on the healing process were investigated by microscopic methods, cell counting, and TGF-β gene expression in the wound bed. Sixty Wistar rats weighing 200-250 g were placed under anesthesia in sterile conditions. A square 1.5 cm × 1.5 cm wound was made on the back of the neck. The rats were divided into control and 2 experimental groups. Additionally, the control and experimental groups were separated into 3 subgroups corresponding to 4, 7, and 14 days of study. In the first experimental group, aloe vera was used twice on the wound. The second experimental group received aloe vera overtreatment once on the wound. The positive control group received daily application of 1% phenytoein cream following surgical wound creation. The control group did not receive any treatment. This tissue was examined using histological staining (H&E) and Masson's Trichrome. Wound surface and wound healing were evaluated separately. TGF-β gene expression was analyzed by RT-PCR. Results showed that fibroblasts in both experimental groups were significantly increased, thereby acceleration wound healing. Application of aloe vera gel will increase TGF-β gene expression, ultimately accelerating the wound healing process.
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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) | 0.001 | 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 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".