Bibliographic record
Abstract
There is evidence that estrogens can modulate the activity of prostate epithelial cells. To determine whether estradiol can have a direct influence on rat prostate, this study examined the effects of estradiol-17beta (E(2)) administered alone or in combination with dihydrotestosterone (DHT) to castrated rats for 3 weeks on prostate binding protein (PBP) C1 mRNA expression and androgen receptor (AR) localization. PBP C1 mRNA levels were measured by semi-quantitative in situ hybridization using a (35)S-labeled cDNA probe. In intact animals, strong hybridization signal could be observed in prostate sections after 12 hr of exposure to Kodak X-Omat films. In castrated rats, no PBP C1 mRNA could be detected even with longer exposure times, an effect that was prevented by administration of DHT. E(2) administered alone induced a detectable hybridization signal, and the concomitant administration of E(2) and DHT induced an increase in PBP C1 mRNA that significantly exceeded that obtained in animals that received only DHT. In prostate epithelial cells of intact animals, AR immunostaining was restricted to the nucleus. In castrated animals the alveoli were decreased in size and the epithelial cells were atrophied. AR staining was weak and was detected in both cytoplasm and nucleus. DHT administration completely obviated the effect of castration on epithelial cell histology and on AR immunostaining distribution and intensity. Interestingly, E(2) administration alone induced moderate hypertrophy of epithelial cells compared to the histological appearance of cells in untreated castrated rats. Moreover, in E(2)-treated animals the nuclear staining was much stronger than that detected in untreated castrated rats, whereas the cytoplasmic staining was not modified by the treatment. In animals that received both DHT and E(2), the staining was similar to that seen in DHT-treated rats. These results suggest that E(2) can influence the activity of rat prostate epithelial cells by mechanisms that remain to be fully clarified.
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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 | 0.001 | 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) | 0.002 | 0.001 |
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".