Beta-hydroxybutyrate alters bovine preimplantation embryo development through transcriptional and epigenetic mechanisms
Bibliographic record
Abstract
Developing embryos are susceptible to fluctuations in the nutrients and metabolites concentrations within the reproductive tract, which can lead to alterations in their developmental trajectory. Ketotic dairy cows have diminished fertility, and elevated levels of the ketone body beta-hydroxybutyrate (BHB) have been associated with poor embryonic development. We used an in vitro model based on either in vitro fertilization (IVF) or parthenogenesis to investigate the effects of BHB on the preimplantation bovine embryo development, epigenome, and transcriptome. Embryo culture medium was supplemented with BHB at a similar concentration to that present in the blood of cows suffering with severe ketosis, followed by analysis of blastocysts formation rate, diameter, total number of cells, levels of H3K9 beta-hydroxybutyrylation (H3K9bhb), apoptosis, and transcriptional alterations. As a result, we observed that BHB reduced the blastocysts rates, the diameter and the total number of cells in both parthenotes and IVF embryos. Exposure to BHB for either 3 or 7 days greatly increased the H3K9bhb levels in parthenotes at the 8-cells and blastocyst stages, and affected the expression of HDAC1, TET1, DNMT1, KDM6B, NANOG, and MTHFD2 genes. Additionally, culture of IVF embryos with BHB for 7 days dramatically increased H3K9bhb and reduced NANOG in blastocysts. RNA-seq analysis of IVF blastocysts revealed that BHB modulated the expression of 118 genes, which were involved with biological processes such as embryonic development, implantation, reproduction, proliferation, and metabolism. These findings provided valuable insights into the mechanisms through which BHB disrupts preimplantation embryonic development and affects the fertility in dairy cows.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".