Multi Floral Honey Has a Protective Effect against Mammary Cancer Induced by 7,12-Dimethylbenz(a)anthracene in Sprague Dawley Rats
Bibliographic record
Abstract
This research was conducted to study the protective effect of bee honey on the 7,12-dimethylbenz(a)anthracene (DMBA)- induced breast cancer in rat model. The study consisted of three groups: honey group, positive control group (PC), and negative control group (NC) to which the carcinogen was not administered. All rats were fed the diet recommended by the American Institute of Nutrition for growing rats (AIN-93G), with addition of honey (50 g/kg diet) to the honey group. All Rats were fed their diets ad libitum on 12 hours dark/light cycle. At the age of 50 days all rats in the honey and PC groups were gavaged once by the carcinogen DMBA with a dose of 80 mg/kg body Wt. After three weeks of carcinogen administration, rats were palpated weekly to detect any tumor growth. After 18 weeks, all rats were sacrificed. The palpable structures and the mammary glands along with associated lymph nodes were removed and fixed in saline formalin and prepared for histopathological examination. The results revealed that the honey group diet significantly (p < 0.05) reduced the incidence rate of mammary cancer, palpable tumor multiplicity, tumor size and weight compared to the PC group. In conclusion, multi floral honey has a protective effect against DMBA- induced mammary cancer in the initiation, promotion, and progression stages of DMBA-induced mammary carcinogenesis. However, further research is needed to reveal the mechanisms that might have contributed to the preventive effect of honey against mammary cancer.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 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 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".