Specific and overlapping sphingosine-1-phosphate receptor functions in human synoviocytes: impact of TNF-α
Bibliographic record
Abstract
Sphingosine-1-phosphate (S1P), via interaction with its G protein-coupled receptors, regulates various physiological and pathological responses. The present study investigated the role of S1P/S1P receptor signaling in several functional responses of human fibroblast-like synoviocytes (FLSs) that may contribute to the pathogenesis of rheumatoid arthritis (RA). We report that FLSs express the S1P(1), S1P(2), and S1P(3) receptors. Moreover, exogenously applied S1P induces FLS 1) migration, 2) secretion of inflammatory cytokines/chemokines, and 3) protection from apoptosis. Using specific S1P receptor agonists/antagonists, we determined that S1P stimulates FLS migration through S1P(1) and S1P(3), induces cytokine/chemokine secretion through S1P(2) and S1P(3), and protects from cell apoptosis via S1P(1). The S1P-mediated cell motility and cytokine/chemokine secretion seem to be regulated by the p38 mitogen-activated protein kinase (MAPK), p42/44 MAPK, and Rho kinase signal transduction pathways. Interestingly, treatment of FLSs with tumor necrosis factor-alpha increases S1P(3) expression and correlates with the enhancement of S1P-induced cytokine/chemokine production. Our data suggest that S1P(1), S1P(2), and S1P(3) play essential roles in the pathogenesis of RA by modulating FLS migration, cytokine/chemokine production, and cell survival. Moreover, the cytokine-rich environment of the inflamed synovium may synergize with S1P signaling to exacerbate the clinical manifestations of this autoimmune disease.
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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".