Effect of Methyl-B-Cyclodextrin (MBCD) on In Vitro Capacitation of Buffalo Frozen/Thawed Sperm
Bibliographic record
Abstract
The aim of this study was to determine the effect of Methyl-B-Cyclodextrin (MBCD) on capacitation of buffalo sperm. Frozen/thawed semen was incubated in the absence of capacitating agents (negative control), in the presence of 10 µg/ml heparin (positive control) and of 1, 2, 4 and 8 mg/ml MBCD for 2 and 4h. At each incubation time, sperm motility was evaluated by phase contrast microscopy. Capacitation was assessed by the sperm ability to undergo acrosome reaction after lysophosphatidylcholine treatment, evaluated with viability by Trypan blue-Giemsa. After 2 h capacitation increased (P<0.01) in MBCD groups (39.2±1.4, 44.5±3.3, 56.7±1.5 and 62.5±3.8, with 1, 2, 4 and 8 mg/ml MBCD, respectively) compared to the negative and positive controls (27.5±1.0 and 28.0±0.8, respectively). Likewise, after 4 h the percentage of live capacitated sperm was higher at increasing concentration of MBCD (31.0±0.7, 34.5±1.7, 42.0±1.9, 49.2±2.8, 62.3±1.5 and 70.8±1.7 in negative control, positive control and with 1, 2, 4 and 8 mg/ml MBCD, respectively; P<0.01). After 2 h sperm motility was lower (P<0.01) in 4 and 8 mg/ml MBCD groups (43.3±2.1 and 25.0±3.2, respectively) than in negative control, positive control, 1 and 2 mg/ml MBCD groups (55.0±1.8, 48.3±2.8, 61.7±2.8, 56.7±1.1, respectively). After 4 h the lowest sperm motility was observed with higher MBCD concentrations (40.0±0.0, 46.7±4.2, 51.7±4.6, 50.0±0.0, 40.0±3.7 and 6.7±1.1, in negative control, positive control, 1, 2, 4 and 8 mg/ml MBCD, respectively; P<0.01). In conclusion, MBCD improved sperm capacitation in a dose-dependent manner while decreasing the sperm motility at higher concentrations
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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".