Reproductive and epigenetic outcomes associated with aging mouse oocytes
Bibliographic record
Abstract
Female aging entails a decline in fertility in mammals, manifested by reduced oocyte reserves and poor oocyte quality accompanied by chromosomal anomalies and reduced litter size. In addition to compromised genetic integrity, recent studies suggest that epigenetic mechanisms may be altered in aging oocytes, with age affecting the expression of DNA methyltransferases, which catalyze the important epigenetic modification, DNA methylation. Loss of DNA methylation patterns, most notably for imprinted genes, is lethal to mouse embryos. To investigate how maternal age affects embryonic development and underlying DNA methylation patterns, young and aged C57BL/6 females were mated with C57BL/6 or C57BL/6(CAST7) males to allow for the identification of parental alleles; resulting blastocysts and mid-gestation embryos and placentas were evaluated. Although pregnancy, ovulation and implantation rates were similar between age groups, an age-related increase in resorption sites, morphological abnormalities and delayed development was found. Interestingly, placental morphology was also perturbed by aging, with elevated numbers of trophoblast giant cells in aged pregnancies. Normal monoallelic expression of the imprinted genes H19 and Snrpn was unaltered in blastocysts from aged females. We failed to observe any age-related changes in methylation of the differentially methylated regions of imprinted genes Snrpn, Kcnq1ot1, U2af1-rs1, Peg1, Igf2r and H19. Restriction Landmark Genome Scanning showed no significant differences in genome-wide DNA methylation in embryos and placentas, regardless of maternal age. Our findings demonstrate that maternal age affects post-implantation embryo and placental development; however embryos capable of developing to mid-gestation appear to undergo normal acquisition and maintenance of DNA methylation patterning.
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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".