BMP‐3 promotes mesenchymal stem cell proliferation through the TGF‐β/activin signaling pathway
Bibliographic record
Abstract
Adipogenesis plays a key role in the pathogenesis of obesity. It begins with the commitment of mesenchymal stem cells (MSCs) to the adipocyte lineage, followed by terminal differentiation of preadipocytes to mature adipocytes. A critical, but poorly understood, component of adipogenesis involves proliferation of MSCs and preadipocytes. The present study was undertaken to examine the hypothesis that bone morphogenetic protein-3 (BMP-3) promotes adipogenesis using C3H10T1/2 MSCs and 3T3-L1 preadipocytes as in vitro model systems. We demonstrated that although it did not promote the commitment of MSCs to the adipocyte lineage or the differentiation of preadipocytes to adipocytes, BMP-3-stimulated proliferation by threefold in both cell types. Owing to a lack of information on MSC proliferation, we then delineated the molecular mechanisms underlying BMP-3-stimulated MSC proliferation. We showed that BMP-3 activated the transforming growth factor-beta (TGF-beta)/activin but not ERK1/2, p38 MAPK, or JNK signaling pathways in C3H10T1/2 cells. Furthermore, the TGF-beta/activin receptor kinase inhibitor SB-431542 blocked BMP-3-stimulated proliferation. Importantly, siRNA-mediated knockdown of the key TGF-beta/activin signaling pathway components, ActRIIB, ALK4, or Smad2, abrogated the mitogenic effects of BMP-3 on MSCs. Together, these results demonstrate that BMP-3 stimulates MSC proliferation via the TGF-beta/activin signaling pathway, thus revealing a novel role for this divergent and poorly understood member of the TGF-beta superfamily in regulating MSC proliferation.
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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 | 0.001 |
| 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".