Vertebrae of Developing Fat-1 Mice Have Greater Strength and Lower N-6/N-3 Fatty Acid Ratio
Bibliographic record
Abstract
Incorporation of dietary n-3 polyunsaturated fatty acids (PUFA) into bone may optimize bone development. The study objective was to use the fat-1 mouse, a transgenic model that synthesizes n-3 PUFA from n-6 PUFA, to determine if bone mineral density (BMD) and biomechanical bone strength were favourably modulated by lowering the n-6/n-3 PUFA ratio in vertebrae. Male and female wild-type and fat-1 mice were fed an AIN93-G diet containing 10% safflower oil from weaning through 12 weeks of age. Vertebrae BMD was determined by dual energy x-ray absorptiometry and peak load, a surrogate measure of fracture risk, was measured by a materials testing system. Vertebrae fatty acid composition was measured by gas liquid chromatography. At 12 weeks of age, vertebrae peak load was higher in fat-1 mice compared to wild-type (P = 0.026). Fat-1 mice also had lower n-6/n-3 PUFA ratio in vertebrae than wild-type (P < 0.001) and this ratio was negatively correlated with BMD and peak load (P = 0.005). Moreover, n-3 PUFA including alpha-linolenic acid, eicosapentaenoic acid and docosahexaenoic acid were positively correlated (P < 0.05) with BMD and peak load. Therefore, a lower vertebrae n-6/n-3 PUFA ratio is associated with stronger vertebrae and suggests a positive role for n-3 PUFA in bone development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".