Superiority of a Non -Enzymatic Antioxidant Over Enzymatic Antioxidants in Improving the Post Thaw Function of Labrador Dog Semen
Bibliographic record
Abstract
In the current study the effect of supplementation of non-enzymatic and enzymatic antioxidants to the Tris-citric acid-fructose egg yolk plasma extender on sperm attributes and antioxidant defence system in frozen-thaw semen was compared.Supplementation of superoxide dismutase (SOD), catalase (CAT) and glutathione (GSH) to the extender significantly (p < 0.05) improved motility, viability, PMI, AI and high IMMP compared to control.Malonaldehyde (LPO) concentration was significantly (p < 0.05) high in GSH supplemented extender followed by CAT/glutathione peroxidase (GPX), SOD and control.Significantly (p < 0.05) high H2O2 scavenging activity of spermatozoa was observed in GPX supplemented extender followed by SOD, CAT, control and GSH.NO2-concentration (µM/109 spermatozoa) was significantly (p < 0.05) less in GSH, CAT, GPX supplemented extenders compared to control.SO2-scavenging activity of spermatozoa was significantly high in GSH/GPX than SOD/CAT/control.SOD, CAT, GPX and GRE activity of spermatozoa was significantly (p < 0.05) high in GSH supplemented extender.Spermatozoa cryopreserved in SOD and CAT supplemented extenders indicated significantly (p < 0.05) higher SOD activity compared to control.GPX activity of spermatozoa was also significantly (p < 0.05) high in GPX/CAT supplemented extenders.Cryoinjury to the spermatozoa was protected to a maximum level in GSH supplemented extender followed by CAT, SOD, GPX and control.Study concluded that GSH is superior over antioxidant enzymes in protecting the spermatozoa from cryoinjury.Based on these observations, higher fertility rate is expected of canine semen cryopreserved in GSH supplemented TCFEYP extender compared to TCFEYP.
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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".