Region-specific expression of androgen and growth factor pathway genes in the rat epididymis and the effects of dual 5α-reductase inhibition
Bibliographic record
Abstract
Dihydrotestosterone (DHT) is the primary androgen acting in the epididymis, the site of sperm maturation. Previously, we showed that the treatment of male rats with PNU157706, an inhibitor that acts on both isoforms of 5alpha-reductase to prevent DHT formation, has effects on the expression of genes implicated in processes that create the optimal luminal microenvironment required for sperm maturation, and on sperm maturation itself. However, signaling pathways involved in regulating or mediating DHT actions in the epididymis remain largely unknown. The goals of this study were to determine the expression profiles of potential signaling systems in the epididymis and assess their DHT-dependence using two different dual 5alpha-reductase inhibitors. Rats were untreated or gavaged with vehicle, 10 mg/kg per day PNU157706 or 32 mg/kg per day FK143 for 28 days and epididymal gene expression was analyzed. Gene array analysis revealed analogous effects of FK143 on overall epididymal gene expression when compared with previous PNU157706 studies. Quantitative RT-PCR analysis of the expression of the 5alpha-reductase isozymes, androgen receptor, and members of the IGF, FGF, TGF, and VEGF families revealed novel region-specific expression profiles in the epididymis that were differentially affected by 5alpha-reductase inhibition; the two inhibitors had parallel effects. Specifically, in proximal regions, 5alpha-reductase 1, androgen receptor, and TGF-beta1 expression increased after treatment, while in distal regions expression of IGF-I, IGFBP-5, IGFBP-6, and FGF-10 decreased. These results provide insight into epididymal signaling mechanisms and indicate potential candidates acting either upstream or downstream of DHT to regulate and/or mediate its actions in the epididymis.
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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 | 0.000 | 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 | 0.001 |
| 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".