Effects of L-Carnitine on the Developmental Competence of Bovine Oocytes
Bibliographic record
Abstract
The in vitro production of embryos has significant potential to enhance animal productivity. However, further refining of this technology is required for its widespread adoption and cost-effectiveness. The objectives were to evaluate the effects of L-carnitine (LC) on the maturation, lipid content, and Hippo signaling of oocytes, and the cryotolerance of the resulting embryos. Abattoir-derived oocytes were in vitro matured using fetal bovine serum (FBS), bovine serum albumin (BSA), or FBS + 1.5 or 3.0 mM LC. The maturation rates did not differ among FBS (83%) and FBS with LC (1.5 or 3.0 mM; 82 and 80%, respectively). In contrast, the BSA group exhibited a significantly lower maturation rate of 71% compared to the other groups. The lipid content of matured oocytes (assessed using Nile red staining) was significantly reduced in the BSA group and in the FBS + LC groups, compared to the FBS group. The blastocyst-stage embryos were cryopreserved, and their cryotolerance was evaluated by assessing their ability to re-expand and hatch after thawing. The embryos from the FBS + LC groups showed a numerically higher re-expansion rate at 24 h (78.8%), compared to the BSA (74.0%) and FBS groups (57.7%). The expression of Hippo signaling pathway genes was not significantly affected by LC, indicating that LC enhanced cryotolerance and reduced lipid content without impacting oocyte maturation or the Hippo signaling pathway.
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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".