The central role of pyruvate metabolism on the epigenetic and molecular maturation of bovine cumulus-oocytes complexes
Bibliographic record
Abstract
Abstract Pyruvate, the end-product of glycolysis in aerobic conditions, is produced by cumulus cells, and is converted in Acetyl-CoA into the mitochondria of both cumulus cells (CCs) and oocytes as a master fuel input for the tricarboxylic acid cycle (TCA). The citrate generated in the TCA cycle can be directed to the cytoplasm and converted back to acetyl-CoA, being driven to lipid synthesis or, still, being used as the substrate for histones acetylation. This work aimed to verify the impact of pyruvate metabolism on the dynamic of lysine 9 histone 3 acetylation (H3K9ac) and RNA transcription in bovine cumulus-oocyte complexes during in vitro maturation (IVM). Bovine oocytes were IVM for 24h in three experimental groups: Control [IVM medium], sodium dichloroacetate [DCA, a stimulator of pyruvate oxidation in acetyl-CoA] or sodium iodoacetate [IA, a glycolysis inhibitor]. Our results show that both treatments change the metabolic profile of oocytes and CCs, stimulating the use of lipids for energy metabolism in the gamete. This leads to changes in the dynamics of H3K9ac during the IVM in both oocytes and CCs with impact on the synthesis of new transcripts in CCs. A total of 148 and 356 differentially expressed genes were identified in DCA and IA oocytes groups, respectively, when compared to the control group. In conclusion, disorders in pyruvate metabolism during maturation stimulate the beta-oxidation pathway, altering the mitochondrial metabolism, with consequences for the mRNA content of bovine 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".