Thymidine phosphorylase as a molecular target for quercetin-incorporated collagen matrix in the prevention of hand–foot syndrome induced by capecitabine in rats
Bibliographic record
Abstract
Hand-foot syndrome (HFS) is a common adverse effect of capecitabine affecting the quality of life of cancer patients. To enhance the tolerability of capecitabine, this work evaluated the incorporation of quercetin into topical collagen matrix formula to target thymidine phosphorylase enzyme, oxidative stress, and apoptosis underlying HFS. Forty Sprague Dawley rats were allocated to four equal groups. The control group received distilled water orally. HFS was induced by oral capecitabine (200 mg/kg/day) for 21 days. The untreated HFS group received no treatment. In the treated groups, topical collagen and quercetin-incorporated collagen matrix formula were administered concomitantly with the HFS induction protocol. Treatment with quercetin-incorporated collagen matrix showed a significant decrease in thymidine phosphorylase level compared with the untreated and collagen-treated groups. Treatment with quercetin-incorporated collagen matrix showed a significant decrease in malondialdehyde and caspase-3 levels, and a significant increase in the total antioxidant capacity of the skin and B cell lymphoma/leukemia 2 levels compared with the untreated group. Additionally, a significant improvement in the gross picture and histopathological score of HFS was observed. In conclusion, the quercetin-incorporated collagen matrix is a promising formula for the prevention of HFS, due to the targeted effect on thymidine phosphorylase and subsequent antioxidant and antiapoptotic effects.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".