Reduced <i>miR-144-3p</i> expression in serum and bone mediates osteoporosis pathogenesis by targeting RANK
Bibliographic record
Abstract
Osteoblasts and osteoclasts are responsible for the formation and resorption of bone, respectively. An imbalance between these two processes results in a disease called osteoporosis, in which a decreased level of bone strength increases the risk of a bone fracture. MicroRNAs (miRNAs) are small non-coding RNA molecules of 18-25 nucleotides that have been previously shown to control bone metabolism by regulating osteoblast and osteoclast differentiation. In this study, we detected the expression pattern of 10 miRNAs in serum samples from patients with osteoporosis, and identified the altered expression of 6 miRNAs by comparison with patients without osteoporosis. We selected miR-144-3p for further investigation, and showed that it regulates osteoclastogenesis by targeting RANK, and that it is conserved amongst vertebrates. Disrupted expression of miR-144-3p in CD14+ peripheral blood mononuclear cells changed TRAP activity and the osteoclast-specific genes TRAP, cathepsin K (CTSK), and NFATC. TRAP staining, CCK-8, and flow cytometry analyses revealed that miR-144-3p also affects osteoclast formation, proliferation, and apoptosis. Together, these results indicate that miR-144-3p critically mediates bone homeostasis, and thus, represents a promising novel therapeutic candidate for the treatment of this disease.
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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 | 0.000 | 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".