Protective effects of caffeic acid phenethyl ester on radiation induced lung injury in rats
Bibliographic record
Abstract
PURPOSE: The prevention of radiation-induced pulmonary toxicity may help to improve radiation therapy in the cancer patient. The aim of this study was to investigate the pulmonary protective effects of caffeic acid phenethyl ester (CAPE), an antioxidant, on radiation-induced lung injury in rats. METHODS: 30 Wistar albino rats were divided into three groups and treated with saline, Radiation (RT) and RT + CAPE respectively. All rats were treated with CAPE (50 ?mol/kg i.p.) or saline. The first dose of CAPE was injected 24 h before radiation and application continued daily, with radiation in second day and 2 days more after the radiation treatment. Radiation dose was 800 cGy for total body. At 72 hr after the last radiation application, under general anesthesia using ip ketamine, the lungs were removed immediately after decapitation. After sacrification, antioxidant enzymes catalase (CAT), superoxide dismutase (SOD) activities and malondiadehyde (MDA) levels were evaluated in lung tissue. RESULTS: The level of malondialdehyde (MDA) was higher in the RT group (233.4+/-1.5 nmol/g protein) than in both the control (131.8+/-0.92) and the RT + CAPE (151.4+/-1.8) groups (P < 0.001). However, CAT activity was decreased in the RT group (7.26+/-0.27 U mg protein) compared with control (8.49+/-0.51) and increased again in the RT + CAPE group (8.31+/-0.56; P < 0.001). In accord with CAT activity, SOD activity in the RT group (0.42+/-0.07 nmol MDA/g wet tissue) was different from the control (0.78+/-0.02) and RT + CAPE (0.86+/-0.06) groups (P < 0.001). CONCLUSION: CAPE application with radiation therapy attenuated radiation induced pulmonary injury in vivo, possibly by its antioxidant effect.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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".