Effect of Vasectomy on Gene Expression in the Epididymis of Cynomolgus Monkey1
Bibliographic record
Abstract
Vasectomy has been shown to affect the pattern of mRNA expression of P34H, a human sperm protein added to the acrosomal cap during epididymal transit. It has been reported that vasectomy alters the histology of the reproductive tract in various species as a result of the increased pressure in the epididymis. The aim of this study was to evaluate if other epididymis-specific mRNAs, which are expressed in different patterns along the duct, are altered by vasectomy as well. We analyzed the expression of P31m (a monkey homologue of human P34H) and three different HE-like (HE-l) mRNAs along the epididymis in the cynomolgus monkey (Macaca fascicularis). Sexually mature cynomolgus monkeys were vasectomized unilaterally; then the epididymides were surgically removed at different time points. The ipsilateral normal epididymis was used as a control. Histomorphometric measurements showed that the height of the epididymal epithelial cells started to be affected only at 14 wk postsurgery. However, Northern blot and in situ hybridization analysis showed that the expression pattern of P31m, HE1, and HE5-like mRNA along the epididymis was not affected by vasectomy. Only the HE2-like mRNA predominantly expressed in the normal corpus epididymidis was significantly lowered 14 wk after vasectomy. Thus, ductal obstruction differentially alters mRNA expression along the epididymis of the cynomolgus monkey.
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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 | 0.000 |
| 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".