The study of gp130/the inflammatory factors regulating osteoclast differentiation in rheumatoid arthritis
Bibliographic record
Abstract
Rheumatoid arthritis (RA) is a chronic immune disease characterized by synovitis and bone destruction. The osteoclasts play a critical role in pathologic bone loss during inflammatory arthritis. In this paper, we report that Interleukin (IL)-6, IL-6Rα/gp130, IL-11, IL-27, and Matrix Metallo Proteinases (MMP)-9 expression results in serum of the RA group were significantly higher than that of the control group. The gp130 positive cells in peripheral blood mononuclear cell (PBMC) and osteoclast-like cells (OLC) which had been induced with receptor activator of nuclear factor κB ligand (RANKL) in RA group were also higher than that in the control group. In addition, after OLC in RA group is cultured with anti-gp130 Monoclonal antibody (McAb), the IL-6 and MMP-9 expression in osteoclast supernatant insignificantly decreased. Meanwhile, the expression results of Tartrate Resistant Acid Phosphatase (TRAP)-positive cells and osteoclasts were also decreased significantly. Our study suggests that regulating gp130 receptor can be used to control the differentiation and formation of osteoclasts, which provides a new clinical strategy for RA patients in the future.
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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) | 0.000 | 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".