Obesogenic phenotype of offspring of dams fed a high multivitamin diet is prevented by a post‐weaning high multivitamin or high folate diet
Bibliographic record
Abstract
High multivitamin (10‐fold, HV) diet fed during pregnancy to Wistar rat dams increases food intake and characteristics of metabolic syndrome in their offspring weaned to the recommended vitamin (RV) AIN‐93G diet. This study determined if a HV or 10‐ fold high folate (HFol) diet fed to the offspring prevents the consequences of the HV gestational diet through epigenetic effects on hypothalamic mechanisms regulating food intake. Male offspring of dams fed the HV diet were weaned to RV, HV or HFol diets for 29 weeks, compared to those born to RV dams and weaned to the RV diet. Food intake, body weight, glucose response to a glucose load, hypothalamic gene expression and global DNA methylation were measured. Both the HV and HFol pup diets prevented the increase in food intake (5%, P=0.03), body weight (8%, P=0.0006) and glucose response (36%, P=0.02) found in offspring of HV dams weaned to the RV diet. Expression of proopiomelanocortin (160%, P=0.004) and brain‐derived neurotrophic factor (BDNF) (170%, P=0.02) was higher in pups fed the HV diet. The HFol pup diet also increased BDNF (130%, P=0.02), and lowered serotonin receptor 2A (60%, P=0.008) expression. Global DNA methylation was similar among groups. In conclusion, increasing the vitamin or folate content of the pup diet is effective in preventing the obesogenic phenotype in offspring of HV dams possibly due to post‐weaning modulation of food intake regulatory mechanisms. Grant Funding Source : Canadian Institutes of Health Research, Institute of Nutrition, Metabolism and Diabetes
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".