Caffeic acid phenethyl ester attenuates changes in pancreatic tissue damage biomarkers induced by cisplatin
Bibliographic record
Abstract
Application of cisplatin (CP) for the treatment of different cancers is known to cause pancreatitis through an increase in reactive oxygen species production and promotion of inflammation. Caffeic acid phenethyl ester (CAPE), the main activity carrier of propolis extracts, was previously found to possess numerous beneficial properties. This study aims to determine for the first time the potential of CAPE in preventing CP-induced pancreatic tissue damage by studying the changes occurring on both biochemical and microscopic levels. The levels of serum α-amylase and a panel of pancreatic tissue biomarkers related to tissue injury (reduced glutathione, xanthine oxidase, malondialdehyde, and protein carbonylated concentration) and inflammation (myeloperoxidase, nitric oxide, and umor necrosis factor alpha) were studied in male Wistar rats treated with either CP alone or with CP and CAPE. Additionally, microscopic analysis of pancreatic tissue would be conducted as well. Application of CAPE together with CP statistically significantly prevented the disturbance in all here-studied pancreatic tissue damage and inflammation-related biomarkers. The changes in pancreas biochemical status was followed by morphological disturbance. The results of the present study suggest that CAPE could act as a protective agent in pancreatic damage that arises after CP application.
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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) | 0.002 | 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".