Osteogenic Response of Bone Marrow Stromal Cells from Normal and Ovariectomized Rats Treated with a Low Dose of Basic Fibroblast Growth Factor
Bibliographic record
Abstract
Basic fibroblast growth factor (bFGF) is a potent mitogen that exhibits stimulatory effects on bone tissue regeneration. To gain further insight into the potential of bFGF for systemic therapy in osteoporosis, we investigated the responsiveness of bone marrow stromal cells (BMSCs) explanted from 7-month-old normal and ovariectomized (OVX) rats that were intravenously treated with a low dose of bFGF (25 microg/kg) for 2 weeks. The BMSCs were obtained using femoral aspiration and maintained in an osteogenic medium. The amount of cells recovered from bFGF-treated rats was lower than that from saline-treated rats, and proliferation of the cells was markedly less for the bFGF-treated rats. The BMSCs from the bFGF-treated rats also showed lower levels of specific alkaline phosphatase (ALP) activity (ALP/deoxyribonucleic acid) and mineralization. Expression of the extracellular matrix proteins critical for mineralization, in particular osteopontin, was greater for bFGF-treated cells from both types of animals in the first week of culture, after which the expression of all markers significantly declined. Dual energy x-ray absorptiometry analyses of the tibiae showed an increase in bone mineral density after bFGF treatment only for OVX rats. We conclude that osteoprogenitor cells were depleted from the marrow of bFGF-treated rats, most likely because of the stimulatory effect of bFGF on bone formation.
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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".