Skeletal Effects of Soy Isoflavone in Humans: Bone Mineral Density and Bone Markers
Bibliographic record
Abstract
The potential skeletal effects of soy isoflavones in humans have garnered significant interest owing to their structural resemblance to endogenous estrogen and their potential to impact bone health. This abstract provides a concise overview of the current understanding of the effects of soy isoflavones on bone mineral density (BMD) and bone markers. Numerous studies have investigated the relationship between soy isoflavone consumption and BMD. Some studies have suggested a positive association between soy isoflavone intake and BMD, particularly among postmenopausal women. Isoflavones may exert their effects through estrogen receptor-mediated pathways, potentially mitigating bone loss by reducing osteoclastic activity and promoting osteoblastic functions. However, conflicting results have been reported, with certain studies demonstrating no significant impact on BMD. In addition to BMD, bone markers such as serum osteocalcin, urinary deoxypyridinoline, and tartrate-resistant acid phosphatase have been evaluated to elucidate the mechanistic effects of soy isoflavones on bone metabolism. These markers provide insights into bone turnover, resorption, and formation. Clinical trials have reported mixed findings regarding the influence of soy isoflavones on bone markers, reflecting the complexity of their interaction with bone physiology
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".