Human bone marrow mesenchymal stem cells suppress the proliferation of hepatic stellate cells by inhibiting the ubiquitination of p27
Bibliographic record
Abstract
Bone marrow mesenchymal stem cells (BMSCs) have considerable therapeutic potential for the treatment of end-stage liver disease. Previous studies have demonstrated that BMSCs secrete growth factors and cytokines that inactivate hepatic stellate cells (HSCs), which inhibited the progression of hepatic fibrosis. The aim of this study was to determine the mechanism by which BMSCs suppress the function of HSCs in fibrosis. Our results showed that co-culture of BMSCs and HSCs induced cell cycle arrest at the G10/G1 phase and cell apoptosis of HSCs, which finally inhibited the cell proliferation of HSCs. Consistent with the cell cycle arrest, co-culture of BMSCs and HSCs increased the abundance of the cell cycle protein p27. Mechanistically, we further uncovered that following the co-culture with BMSCs, the expression level of the E3 ligase S-phase kinase-associated protein 2 (SKP2) that is responsible for the ubiquitination of p27 was decreased, which attenuated the ubiquitination of p27 and increased the stability of p27 in HSCs. Collectively, our results indicated the potential involvement of the SKP2-p27 axis for the inhibitory effect of BSMCs on the cell proliferation of HSCs.
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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) | 0.002 | 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".