The effect of a high multivitamin diet during the first gestation on the dams and their offspring from the first and second pregnancy
Bibliographic record
Abstract
High multivitamin intake during pregnancy of the Wistar rat results in increased body weight, food intake and characteristics of the metabolic syndrome in the offspring (Szeto IM et al. Am J Physiol Regul Integr Comp Physiol 2008; 295: R575‐82). The objective of the study was to investigate the effect of a high multivitamin diet during pregnancy on body weight (BW) and glucose tolerance of the dams and their offspring after both the first and second pregnancy. Wistar rats (n=19) received the AIN‐93G diet with either the required (RV) or 10‐fold amount of multivitamins (HV) during the first pregnancy. After delivery all dams received only the RV diet and were mated again at 12 wk post‐weaning (PW). The offspring from both pregnancies were weaned to the RV diet and followed for 15 wk PW. BW and oral glucose tolerance were measured in the dams and offspring. Dams given the HV diet during the first pregnancy gained more weight at 12 and 20 wk after the first and second litters, respectively. First litter females, but not males, from the HV dams gained less BW than those from RV dams (239±7 vs 271±12g, p=0.03). Second litter males, but not females, from dams given the HV diet during the first pregnancy gained more BW (592±14 vs 539±18g, p=0.04) and had 7% higher glucose response at 4 wk PW. In conclusion, the effects of a high vitamin diet during the first pregnancy persist after the second pregnancy. Grant Funding Source CIHR‐INMD‐OOP‐77980 and CONACyT to S. Reza
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".