Epididymal Epithelial Cells Cultured In Vitro Prolong the Motility of Bovine Sperm
Bibliographic record
Abstract
It is well known that the epididymis is an excellent environment to maintain sperm viability. Therefore, we used different sections of bovine epididymis (caput, corpus, and cauda) to develop epithelial cell culture monolayers to identify factors that will increase sperm survival in the freezing-thawing process. Each epididymal section was dissected and treated with collagenase to obtain epithelial cell clusters. The cells were cultured in RPMI-1640 medium with 10% serum at 38.5 degrees C. A confluent monolayer was obtained after 5-7 days in culture and preliminary characterization using cytokeratin antibody indicated that the cell culture contained 85%-95% of epithelial cells. These cellular cultures were tested for their ability to maintain motility of epididymal and frozen-thawed spermatozoa. Washed spermatozoa were added to obtain a final dilution of 1 x 10(6) spermatozoa/mL. The motility of frozen-thawed spermatozoa was also recorded after incubation in conditioned media. Our results show that cocultures of spermatozoa and epididymal cell monolayers for 24 and 48 hours were beneficial for maintaining epididymal and frozen-thawed sperm motility (36.0% and 20.4%) compared with spermatozoa cultured with fibroblast cells or in the absence of a cell monolayer (0%; P < .01). The conditioned medium provides favorable conditions for sperm motility. Results with conditioned medium on maintenance of frozen-thawed sperm motility suggest that epididymal cells in vitro secrete beneficial factors that prolong the sperm survival.
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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) | 0.002 | 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".