Role of methyl group vitamins in hypothalamic development of food intake regulation in Wistar rats
Bibliographic record
Abstract
High multivitamin diets (HV; 10-fold AIN-93G) fed during pregnancy to Wistar rats produce offspring with increased food intake, obesity, and characteristics of metabolic syndrome. The hypothesis that methyl group vitamins in HV gestational and pup diets modify expression of the obesogenic phenotypes in the offspring through their effects on hypothalamic feeding pathways was tested by 4 studies. In studies 1 and 2, dams were fed the AIN-93G diet with recommended vitamin (RV), HV, high methyl vitamins (10-fold folate, vitamin B12 and vitamin B6) (HMethyl), or HV with normal folate (HVNF) and male offspring were weaned to a high-fat diet for 8 weeks. In studies 3 and 4, dams were fed RV, HV, or high 10-fold folate (HFol), and male offspring were weaned to RV, HV, or HFol diets for 29 weeks. The results were as follows: (i) HV and HMethyl diets increased obesogenic phenotypes and altered hypothalamic regulation of food intake and metabolism concurrent with epigenetic effects on gene expression. (ii) Removing folate additions to the HV diet showed that folate contributes to the obesogenic phenotype in the offspring and epigenetic alterations in the hypothalamus that favour increased food intake. (iii) Matching pup diet vitamin content with that of the HV and HFol diet-fed dams prevented their increased food intake, body weight, and insulin resistance when weaned to the RV diet. (iv) Both HFol gestational and pup diets altered hypothalamic feeding pathways through DNA methylation, showing that epigenetic effects of these vitamins occur not only in utero but also postnatally. In conclusion, methyl group vitamins in HV gestational and pup diets modify expression of the obesogenic phenotypes and hypothalamic food intake regulatory systems in the Wistar rat offspring.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".