Combination of soy protein and high dietary calcium on bone biomechanics and bone mineral density in ovariectomized rats
Bibliographic record
Abstract
In Brief Objective: To determine if feeding soy in combination with a high-calcium diet would preserve bone mineral density and biomechanical bone strength to a greater extent than either soy or calcium alone. Design: Rats were sham-operated (n = l0) and fed a control diet (AIN93G containing 0.2% calcium, 20% casein) or ovariectomized (n = 40) and randomized to one of the following diets (n = 10 per group): control, high calcium (2.5% calcium, 20% casein), soy (0.2% calcium, 20% soy protein), or soy plus high calcium (2.5% calcium, 20% soy protein) for 8 weeks. Bone mineral density of femurs and lumbar vertebrae 1 through 6 were measured by dual energy x-ray absorptiometry. Biomechanical strength properties of femurs and the fifth lumbar vertebrae were measured by three-point bending and compression, respectively. Results: The dietary combination of soy and high calcium did not result in higher femur bone mineral density compared with other ovariectomized groups, and there were no differences in femur yield load or peak load among groups. In contrast, soy plus high calcium resulted in a higher (P < 0.05) vertebral bone mineral density compared with all other ovariectomized groups. Vertebral strength was preserved among rats fed either soy plus high calcium, soy, or high calcium whereas the ovariectomized group fed a control diet had lower (P < 0.05) vertebral strength than the sham-operated group. Conclusion: Bone mineral density of the lumbar spine was the only bone outcome that significantly benefited from the combination of soy and high calcium compared with soy or high calcium alone. The objective of this study was to determine if feeding soy in combination with a high calcium diet would preserve bone mineral density and biomechanical bone strength of the femur and vertebrae to a greater extent than either alone. Bone mineral density of the lumbar spine was the only bone outcome that significantly benefited from the combination of soy and high calcium compared with soy or high calcium alone.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".