Bibliographic record
Abstract
Altnough the primary skeletal action of exogenous calcitonin is to inhibit bone resorption, calcitonin also has effects on bone formation. In-vitro data indicate that the latter may include direct effects on bone cells of osteoblastic lineage. In the current studies, we examined the effects of calcitonin on cyclic adenosine monophosphate (cAMP) and PGE2 synthesis and 45Ca uptake in human osteosarcoma cells, specifically, TE-85 cells and subpopulations of SaOS-2 cells with low-, intermediate-, and high-steady-state levels of skeletal alkaline phosphatase (ALP) activity. Since previous in-vivo studies had shown that calcitonin could acutely decrease skeletal ALP activity in rat periosteal osteoblasts, we also measured the effects of calcitonin treatment on ALP specific activity. Neither salmon nor human calcitonin altered the net synthesis of cAMP or PGE2 by SaOS-2 cells, but human calcitonin gene-related peptide increased both (P < .001 and P < .005, respectively). Both salmon and human calcitonin had short-term effects to alter ALP activity in TE-85 and SaOS-2 cells. The effects were different in SaOS-2 subpopulations with different pretreatment ALP levels. Four hours of exposure to salmon calcitonin had dose-dependent, biphasic effects on ALP levels in SaOS-2 cells with intermediate pretreatment ALP levels, increasing ALP at doses between 0.16 and 1.6 nmol/L (P < .005) and decreasing ALP at higher concentrations (P < .05). Both salmon and human calcitonin, but not human calcitonin gene-related peptide, also had short-term effects to increase net 45Ca uptake by SaOS-2 cells; these effects were dose-dependent and long-lasting. Salmon calcitonin (8 pmol/L) increased net 45Ca uptake within 10 minutes (242% of control, P < .001), and the effect was still apparent after 4 hours of continuous exposure (151% of control, P < .01); similar effects were seen with TE-8t cells. The effect of calcitonin to increase net 45Ca uptake by SaOS-2 cells could be obeserved in (Fitton-Jackson-modified) Biggers-Gwatkin-Jones culture medium (BGJb) containing 1.5 or 2.0 mmol/L Ca, but not in medium containing 0.5 or 1.0 mmol/L Ca, or in the presence of 10 μmol/L verapamil.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.924 | 0.848 |
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".