Maternal high fat feeding alters bone lipid content at weaning without long‐lasting effects on bone lipid content and bone strength in male offspring at young adulthood (1033.7)
Bibliographic record
Abstract
High fat (HF) feeding after weaning results in elevated bone fatty acid content and reduced bone strength in growing rats and mice. However, the effect of a maternal HF diet to offspring in utero and during suckling is less characterized. Our study objective was to determine if maternal HF feeding altered male offspring bone lipid composition at weaning and 3 months of age, and if this was accompanied by lower bone strength. Female Wistar rats were fed either control (CON, 7% soybean oil by weight (TD.94045); n = 9) or HF (20% lard by weight (TD.02016); n = 9) diet for 10 weeks. Rats were bred and consumed their respective diets throughout pregnancy and lactation. All offspring were weaned to CON diet. At weaning, but not 3 months of age, percent mole fraction of polyunsaturated fatty acids were lower and monounsaturated fatty acids were higher in femur of offspring from dams fed HF diet than offspring of dams fed CON diet ( P <0.05). Peak load, the maximum force a bone withstands before fracture, was not different between groups at the femur (midpoint and neck) and 3 rd lumbar vertebra at 3 months of age. In conclusion, in utero and suckling exposure to a HF diet does not have long‐lasting effects on bone health in this rat model. Moreover, at 3 months of age, lipid composition of femurs no longer reflects maternal HF feeding and may explain why bone strength is similar between groups.
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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) | 0.002 | 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".