Maternal high fat diet results in altered body composition in first generation male offspring at weaning but not adulthood
Bibliographic record
Abstract
Previous research has shown that feeding a high fat diet can result in adverse effects to body composition in male rodents. The potential adverse effects of maternal high fat feeding on body composition of male offspring is less clear. Our study objective was to determine if maternal high fat feeding leads to higher fat mass and lower lean and bone mass in male Wistar offspring at 19 days (weaning) and 3 months of age (young adulthood). Female Wistar rats were randomized to either a control (C, AIN93G, 7% soybean oil by weight, n = 11) or high fat (HF, modified AIN93G, 20% lard by weight, n = 12) diet at 28 days of age. After 10 weeks of feeding, females were bred and consumed their respective diets throughout pregnancy and lactation. Body composition of male offspring was measured using dual‐energy X‐ray absorptiometry (DEXA) at age 19 days or at 3 months of age. Greater body weight (p < 0.05) and absolute fat (p < 0.001) and bone mass (both bone mineral content (BMC) and density (BMD); p<0.05) was observed at 19 days in offspring from mothers fed HF compared to C diet. When expressed relative to body weight, fat mass was higher (p <0.001) at 19 days in offspring of mothers fed HF compared to C diet. Interestingly, differences in body weight, fat mass, BMC and BMD were not sustained at young adulthood (age 3 months). The effects at weaning are fully attenuated by 3 months of age when male offspring are fed a ‘healthy’ control diet from weaning onwards.
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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) | 0.001 | 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) | 0.003 | 0.001 |
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".