Bibliographic record
Abstract
Although the pathophysiology of HO is not well understood, it has been suggested that mesenchymal cells near surgical sites, are exposed to bone particles, containing bone morphogenetic proteins (BMP). Fetuin, also known as alpha2HS-glycoprotein (Ahsg), is a serum glycoprotein, which binds TGFbeta and BMP cytokines due its BMP/TGFbeta receptor-like region within the fetuin structure. We hypothesize that the osteodifferentiation of C2C12 cells under the influence of BMPs will be inhibited by fetuin. Mouse myoblasts were grown with BMP and fetuin added to the media. There was an increase AP activity in the presence of increasing doses of BMP/NCP or rhBMP-4. Fetuin inhibited induced increases in AP in a dose-dependent fashion with the most effective dose being in the range of 50--80muM fetuin. C2C12 cultures exhibited increased CK expression with the addition of 20ng/ml of rBMP-4. This increase was similarly inhibited by approximately 50muM fetuin. Using this model, fetuin has been shown to inhibit the effects of BMPs on target cells. As well, using this model we were able to approximate the doses of fetuin that might be required for regulation of BMP effects in vivo.
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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) | 0.000 | 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) | 0.001 | 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".