HDAC10 upregulation contributes to interleukin 1β‐mediated inflammatory activation of synovium‐derived mesenchymal stem cells in temporomandibular joint
Bibliographic record
Abstract
Histone deacetylases (HDACs) are important in chronic inflammation, and inflammatory responses affect synovium-derived mesenchymal stem cell (SMSC) function in temporomandibular joint repair. However, the effect of HDACs on SMSC inflammatory activation remains unclear. In this study, temporomandibular joint fibroblast-like synoviocytes obtained from osteoarthritis patients met the minimal mesenchymal stem cell criteria. Interleukin 1β (IL-1β) upregulated IL-6 and IL-8 expression in SMSCs through nuclear factor-κB (NF-κB) pathway activation. IL-6 and IL-8 upregulation were blocked by broad-acting HDAC inhibitors SAHA and LBH589. MC1568 alleviated IL-1β activation of SMSCs, whereas CI994 and FK228 produced a minimal or opposite effect in vitro. We also found HDAC10 was highly associated with localized IL-1β expression in vivo and in vitro. HDAC10 knockdown alleviated IL-1β-mediated SMSC activation and blocked NF-κB pathway activation. Conversely, HDAC10 overexpression promoted IL-6 and IL-8 expression and IL-1β-mediated NF-κB pathway activation. In conclusion, HDAC10 upregulation contributed to IL-1β-mediated inflammatory activation of SMSCs, indicating that HDAC10 may be a novel therapeutic target.
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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) | 0.001 | 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 | 0.001 |
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".