Effect of Energy Substrate Dynamics on Mitochondrial Activity and Oxidative Stress Levels of in vitro Maturing Bovine Oocytes
Bibliographic record
Abstract
This study was conducted to explore the effect of energy substrates in the culture medium during in vitro maturation of bovine oocytes. A modified TCM199 medium (M-7528) was used to mature bovine oocytes in vitro. Oocytes were supplemented with different pyruvate (0.1, 0.2, 0.4 mM) and glucose (1.5, 5.6, 20.0 mM) concentrations for 48 hours at 38.5 °C under 5% CO2 atmosphere with 95% humidity. Their maturity was checked at 24 and 48 hours. After 48 hours, the denuded oocytes were stained with fluorescent dye JC-1 and avidin-FITC. Fluorescent dye JC-1 is a membrane permeable to the cell and would indicates membrane activity or its organization. Fluorescence intensity of avidin-FITC determination using corrected total cell fluorescence (CTCF) expressed oxidative stress level. There is a significant contribution of energy substrates towards oocyte maturation. Pyruvate at 0.2 mM produced mature oocytes with a diameter of ≥ 120 μm, promoted oocytes maturation to metaphase II (MII) stage faster and reduced cell’s oxidative stress levels. In comparison, 5.6 mM glucose is the optimum concentration for glucose to reduce cell stress level. Unfortunately, this concentration only produced mature oocytes with a small diameter of up to 116 μm. All changes were significant at the level of p < 0.05. As a conclusion, pyruvate at 0.2 mM is the optimum concentration for in vitro maturation after taking cell’s stress level into consideration.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".