Implications of Measuring Soluble Receptor Activators of Nuclear Factor-κB Ligand and Osteoprotegerin in Bone Metabolism of Elderly Women
Bibliographic record
Abstract
BACKGROUND/AIM: The discovery of a signaling system consisting of a soluble receptor activator of the NF-kappaB ligand (sRANKL) and its decoy receptor osteoprotegerin (OPG) has provided a valuable key to understanding the pathophysiology of the bone microenvironment. We conducted a cross-sectional study of the role of sRANKL and OPG levels as they relate to bone metabolism in elderly postmenopausal women with and without osteoporosis. SUBJECTS AND METHODS: Fifty-one elderly women with or without osteoporosis were enrolled in the study. Bone alkaline phosphatase, osteocalcin, urinary deoxypyridinoline and urinary type I collagen N-terminal telopeptide (NTx) were measured as bone metabolic markers. Serum levels of OPG and sRANKL were measured by sandwich enzyme-linked immunosorbent assay and the lumbar spine bone mineral density (LSBMD) with dual-energy X-ray absorptiometry. Furthermore, we compared the sRANKL and OPG levels in elderly women with and without vertebral fractures (VFs). RESULTS: In elderly postmenopausal women, there was a significant positive association between OPG levels and the T score and Z score of LSBMD (r = 0.345 and p = 0.014 for T score; r = 0.438 and p = 0.001 for Z score). sRANKL levels were not significantly correlated with T score, Z score of LSBMD, or any of the four bone metabolic markers. There were no significant differences in the sRANKL levels among the three groups (normal bone mineral density, osteopenia, and osteoporosis), but a trend toward a higher value in the osteoporosis group. The sRANKL/OPG ratio was negatively correlated with the T score and Z score of LSBMD (r = -0.336, p = 0.017; r = -0.384, p = 0.006, respectively), but not with any of the four bone metabolic markers. OPG levels in elderly women with VFs were lower than in those without VFs (p = 0.05). Multiple regression analysis showed that OPG and NTx are contributing factors to bone loss in elderly women (p = 0.014 and 0.012, respectively). CONCLUSION: The OPG level provides a good predictor of osteoporosis as well as NTx in elderly women; additionally, the findings suggest that OPG might protect elderly women from bone loss or fractures.
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".