Milk Caseins Decrease the Binding of the Major Bovine Seminal Plasma Proteins to Sperm and Prevent Lipid Loss from the Sperm Membrane During Sperm Storage1
Bibliographic record
Abstract
Milk is used as a medium for sperm preservation. Caseins, the major proteins of milk, appear to be responsible for the protective effect of milk on sperm. Recently, we have shown that egg yolk, which is also widely used to preserve semen, protects sperm functions by preventing the binding to sperm of the major proteins of bull seminal plasma (BSP proteins), thereby preventing BSP protein-mediated stimulation of lipid loss from the sperm membrane. In the present study, we investigated whether milk caseins protect sperm in the same manner as egg yolk. Bovine ejaculates were diluted with skimmed milk permeate (skimmed milk devoid of caseins) or permeate that was supplemented with caseins and stored at 4 degrees C for 4 h. In the semen diluted with permeate, sperm viability and motility decreased in a time-dependent manner. However, in semen diluted with milk or permeate supplemented with caseins, sperm functions were maintained. In addition, lower amounts of the BSP proteins were associated with sperm in semen diluted with milk or permeate supplemented with caseins, as compared to semen diluted with permeate. No milk proteins were detected in the sperm protein extracts. Furthermore, sperm diluted with milk or permeate supplemented with caseins showed 3-fold lower losses of cholesterol and choline phospholipids than sperm diluted with permeate during storage. Thus, milk caseins decreased the binding of BSP proteins to sperm and reduced sperm lipid loss, while maintaining sperm motility and viability during storage. These results support our view that milk caseins prevent the detrimental effects of BSP proteins on the sperm membrane during sperm preservation.
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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) | 0.001 | 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".