Differential effects of heparin and low molecular weight heparin on osteoblastogenesis and adipogenesis in vitro
Bibliographic record
Abstract
We have previously demonstrated that heparin produces cancellous bone loss in rats due in part to a decrease in the number of osteoblasts lining the trabecular bone surface. In the present study, we use a stromal-derived cell culture system together with measurements of alkaline phosphatase (ALP) activity, to compare the effects of heparin and the low molecular weight heparin (LMWH), Fragmin, on osteoblast differentiation in vitro. In addition, we examined the possibility that both heparin and LMWH can induce adipogenesis in our stromal cell culture system. Both heparin and LMWH were found to produce a statistically significant (P < 0.01) and concentration-dependent decrease in the number of osteoblasts while increasing the number of adipocytes. When the effects of gravimetrically equivalent amounts of heparin and LMWH were compared, heparin had a 4-fold greater effect than LMWH. In contrast to heparin, N-desulfated heparin was found to have minimal effects on both osteoblast and adipocyte differentiation indicating that the heparin effect is not only chain-length dependent but also charge-dependent. The observation that LMWH has less of an effect on bone formation than heparin is compatible with the results of clinical trials indicating that LMWH produces less bone loss after long-term administration.
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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 | 0.000 |
| 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".