High folate gestational and post-weaning diets alter hypothalamic feeding pathways by DNA methylation in Wistar rat offspring
Why this work is in the frame
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Bibliographic record
Abstract
Excess vitamins, especially folate, are consumed during pregnancy but later-life effects on the offspring are unknown. High multivitamin (10-fold AIN-93G, HV) gestational diets increase characteristics of metabolic syndrome in Wistar rat offspring. We hypothesized that folate, the vitamin active in DNA methylation, accounts for these effects through epigenetic modification of food intake regulatory genes. Male offspring of dams fed 10-fold folate (HFol) diet during pregnancy and weaned to recommended vitamin (RV) or HFol diets were compared with those born to RV dams and weaned to RV diet for 29 weeks. Food intake and body weight were highest in offspring of HFol dams fed the RV diet. In contrast, the HFol pup diet in offspring of HFol dams reduced food intake (7%, p = 0.02), body weight (9%, p = 0.03) and glucose response to a glucose load (21%, p = 0.02), and improved glucose response to an insulin load (20%, p = 0.009). HFol alone in either gestational or pup diet modified gene expression of feeding-related neuropeptides. Hypomethylation of the pro-opiomelanocortin (POMC) promoter occurred with the HFol pup diet. POMC-specific methylation was positively associated with glucose response to a glucose load (r = 0.7, p = 0.03). In conclusion, the obesogenic phenotype of offspring from dams fed the HFol gestational diet can be corrected by feeding them a HFol diet. Our work is novel in showing post-weaning epigenetic plasticity of the hypothalamus and that in utero programming by vitamin gestational diets can be modified by vitamin content of the pup diet.
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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 it