The effect of pomegranate fruit extract on testosterone‐induced BPH in rats
Bibliographic record
Abstract
BACKGROUND: Benign prostatic hyperplasia (BPH) affects many men after the age of 50 years. Inflammation and oxidative stress along with apoptotic changes are thought to play an important role in the pathology of BPH. Pomegranate contains a variety of polyphenolic compounds that have been studied in a medley of diseases for their anti-oxidant, anti-inflammatory and pro-apoptotic properties. Therefore, this study examined the effect of Pomegranate Fruit Extract (PFE) on the development of BPH using a testosterone-induced BPH model in rats. METHODS: A total of 48 rats were randomly divided into six groups of eight, one group served as the control, BPH was induced by testosterone 3 mg/kg S.C. daily in four groups, three of them received PFE by oral gavage daily at doses of 25, 50, and 100 mg/kg respectively, while one group received PFE at a dose of 50 mg/kg without induction of BPH. RESULTS: PFE at a dose of 100 mg/kg was the most effective in decreasing testosterone-induced increase in prostate weight, prostate weight/body weight ratio, and PAP levels by 30.8%, 55%, and 68% respectively and in preventing the accompanying histological changes. In the BPH model, testosterone significantly decreased GSH, SOD, and CAT to 0.45, 0.64, and 0.88 of the control group values respectively, and significantly increased MDA by >6-fold. In combination with testosterone, PFE dosed at 100 mg/kg significantly increased GSH, SOD, and CAT to 0.83, 0.92, and 0.93 of the control group values respectively, whereas MDA was significantly decreased by 72% compared with the testosterone treated group. In addition to this, at the range of doses studied, PFE lowered COX-II, iNOS, Ki-67 expression, and increased apoptotic index. CONCLUSION: The current findings elucidate the effectiveness of PFE in preventing testosterone-induced BPH in rats. This could be attributed, at least partly, to its anti-oxidant, anti-inflammatory, and pro-apoptotic properties.
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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 | 0.001 | 0.001 |
| 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 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".