Effects of Pterostilbene on the Activation of Nuclear Factor Erythroid 2-Related Factor 2 Pathway During in vitro Maturation of Mouse Oocytes
Bibliographic record
Abstract
Pterostilbene (PTS) is a natural polyphonic compound known to have biological activities, such as antioxidant and anticancer effects. This study was designed to regulate the effect of pterostilbene on the in vitro maturation (IVM) of mouse oocytes denuded of the cumulus (DOs). Different concentration of PTS was added to IVM media with immature DOs. After maturation, meiosis II (MII) stage rates oocytes, Measurement of reactive oxygen species (ROS) and glutathione (GSH) levels, activation of the Nuclear Factor Erythroid 2 like 2 (NFE2L2) pathway and apoptotic expression of BCL2 family in MII oocytes were determined. Our results showed that: PTS significantly increased the MII rate of DOs (P < 0.05). Moreover, PTS decreased the ROS levels in DOs (P < 0.05) and increased the GSH levels (P < 0.05). Furthermore, PTS addition in DOs significantly increased the protein expression of NFE2L2 in the nucleus and decreased Kelch-like ECH-associated protein1 (KEAP1). PTS significantly increased the antioxidant enzyme expression of catalase (CAT), heme oxygenase1 (HMOX1), and superoxide dismutase (SOD). In addition, PTS lowered the protein expression of apoptotic Bcl-2-associated X protein (BAX) and increased the protein expression of anti-apoptotic B-cell lymphoma2 (BCL2) as well as PTS treatment significantly increased the gene expression of BCL2 and reduced the expression of apoptotic BAX in matured DOs. These results indicated that pterostilbene significantly improved the IVM quality matured of DOs and activate NFE2L2-Keap1 pathway during maturation of oocytes.
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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".