Regulation of Chondrogenesis by Transforming Growth Factor-ß3 and Insulin-like Growth Factor-1 from Human Mesenchymal Umbilical Cord Blood Cells
Bibliographic record
Abstract
OBJECTIVE: Mature articular cartilage is vulnerable to injuries and disease processes that cause irreversible tissue damage because of its limited capacity for self-repair. Umbilical cord blood is a source of mesenchymal stem cells, which can give rise to cells of different lineages, including cartilage, bone, and fat. Cellular condensation is a required step in the initiation of mesenchymal chondrogenesis. We attempted to differentiate cells from umbilical cord blood into chondrocytes with insulin-like growth factor 1 (IGF-1) and transforming growth factor-ss3 (TGF-ss3). METHODS: Cells were grown in high density micromass and monolayer culture systems and then evaluated for expression of type II collagen, aggrecan, and Sox9. Umbilical cord blood from 130 patients was harvested. RESULTS: Expression of type II collagen, aggrecan, and Sox9 was detected after 14 days in TGF-ss3- and IGF-1-stimulated cells in both types of culture (monolayer and micromass). On Day 21 in the micromass culture, expression levels were greater than they were at 14 days for all genes. TGF-ss3 was found to be more efficient at promoting chondrogenesis than IGF-1. By western blot, we also found that after 3 weeks, the expression of type II collagen was greater in micromass culture with TGF-ss3. CONCLUSION: TGF-ss3 used in micromass culture is the best growth factor for promoting the proliferation and differentiation of mesenchymal cells from umbilical cord blood during chondrogenesis. This approach may provide an alternative to autologous grafting.
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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".