Protective and sex‐specific effects of moderate dose folic acid supplementation on the placenta following assisted reproduction in mice
Bibliographic record
Abstract
Epigenetic defects induced by assisted reproductive technologies (ART) have been suggested as a potential mechanism contributing to suboptimal placentation. Here, we hypothesize that ART perturbs DNA methylation (DNAme) and gene expression during early placenta development, leading to abnormal placental phenotypes observed at term. Since folic acid (FA) plays a crucial role in epigenetic regulation, we propose that FA supplementation can rescue ART-induced placental defects. Female mice were placed on a control diet (CD), a moderate 4-fold (FAS4) or high dose 10-fold (FAS10) FA-supplemented diet prior to ART and compared to a natural mating group. ART resulted in 41 and 28 differentially expressed genes (DEGs) in E10.5 female and male placentas, respectively. Many DEGs were implicated in early placenta development and associated with DNAme changes; a number clustered at known imprinting control regions (ICR). In females, FAS4 partially corrected alterations in gene expression while FAS10 showed evidence of male-biased adverse effects. DNAme and gene expression for five genes involved in early placentation (Phlda2, EphB2, Igf2, Peg3, L3mbtl1) were followed up in placentas from normal as well as delayed and abnormal embryos. Phlda2 and Igf2 expression levels were lowest after ART in placentas of female delayed embryos. Moreover, ART concomitantly reduced DNAme at the Kcnq1ot1 ICR which regulates Phlda2 expression; FAS4 partially improved DNAme in a sex-specific manner. In conclusion, ART-associated placental DNAme and transcriptome alterations observed at mid-gestation are sex-specific; they may help explain adverse placental phenotypes detected at term and are partially corrected by maternal moderate dose FA supplementation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".