Vasectomy Influences Expression of HE1 but not HE2 and HE5 Genes in Human Epididymis
Bibliographic record
Abstract
Epididymal roles include protection and transport, maturation, and storage of the sperm cells. It is known that these functions are altered under vasectomy, but the consequences of excurrent duct obstruction on the pattern of gene expression along the human epididymis are poorly documented. In order to understand how excurrent duct occlusion affects different epididymal regions, the expression pattern of genes known to be expressed in specific epididymal segments was investigated along the epididymides of vasectomized men. Selected human epididymal complementary DNAs (cDNAs) identified by differential library screening were studied because of their unique messenger RNA (mRNA) distribution along the different epididymal segments. In situ hybridization as well as immunohistologic studies were undertaken to investigate the effect of vasectomy on a gene expressed all along the epididymis (HE1) or more selectively in the proximal (HE2) or distal (HE5) segment. The HE1 transcript was affected by the obstruction of the epididymis with little or no mRNA detectable along the epididymis. The HE1-related antigen was shown by immunohistochemical methods to be reduced within the epithelium of the epididymis of vasectomized men. By contrast, HE5 mRNA and protein, expressed in epithelial cells of the distal epididymis, were not affected by the obstruction of the vas deferens. Similarly, HE2 transcriptional and translational products normally expressed in the caput epididymidis were not affected by vasectomy. These results show that excurrent duct obstruction differentially affects the expression pattern of some specific transcripts and their encoded proteins, probably impairing their fundamental roles in the physiology of 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 | 0.000 |
| 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".