Bibliographic record
Abstract
Abstract Scientists are starting to realize that some effects from the animal environment may affect their progeny’s phenotype. These epidemiological evidences of early life programming are very well described in humans and rodents but less documented in bovines, especially in relation to the peri-conceptual period. In fact, as other species the bovine gametes may carry non-genetic information that will impact the survival, the fitness and the phenotype of the embryo-fetus-offspring. Using a peri-pubertal age model we have compared the semen of bulls that we obtained at different ages just after puberty for whole genome DNA methylation, miRNA content and open DNA access regions to identify mechanistic relation to gene expression and DNA methylation in embryos created with the same bulls compared to themselves and mated by IVF to the same heifer several times. A similar experiment was also done with pre-peri and post puber heifers using the same adult bull for repetitive IVF. The overall results indicate that the same pathways are affected in embryos from immature parents. The targeted processes are overwhelmingly associated with cellular metabolism involving mitochondria function and the mTOR pathways amongst others. A very similar conclusion was also observed with embryos obtained from adult mothers under negative energy balance and the resulting calves obtained by surrogate gestations using blood DNA methylation to assess the intergenerational legacy. These results support a metabolic programming across generation associated with an energy deficient status of the parent.
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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 | 0.001 | 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) | 0.003 | 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".