Extra domain A of fibronectin primes leukotriene biosynthesis and stimulates neutrophil migration through activation of Toll-like receptor 4
Bibliographic record
Abstract
OBJECTIVE: There is increasing evidence of a role for Toll-like receptors (TLRs) in inflammatory arthritis. The extra domain A (ED-A)-containing isoform of fibronectin is generated under pathologic conditions such as rheumatoid arthritis, and ED-A has been identified as an endogenous TLR-4 ligand. Leukotriene B4 (LTB4) and polymorphonuclear neutrophils (PMNs) play a critical role in murine models of inflammatory arthritis. The aim of this study was therefore to investigate the putative effects of ED-A on leukotriene biosynthesis and PMN migration through TLR signaling. METHODS: The effect of recombinant human ED-A (rhED-A) on leukotriene biosynthesis was evaluated in isolated human blood PMNs and monocytes by high-performance liquid chromatography. The capacity of rhED-A to stimulate PMN migration was evaluated using a transendothelial/matrix migration assay in vitro and the mouse air-pouch model in vivo. RESULTS: Recombinant human ED-A efficiently primed the biosynthesis of LTB4 in PMN and monocyte suspensions. This priming effect was dependent on TLR-4 activation, since the TLR-4-signaling inhibitor CLI-095 completely blocked the effect of rhED-A but not that of other TLR ligands (R-848, Pam2 CSK4) or cytokines. Moreover, rhED-A stimulated transendothelial migration of PMNs in vitro, which was inhibited by 50-60% with the LTB4 receptor 1 (BLT1) antagonist CP105,696 or the cytosolic phospholipase A2 α inhibitor pyrrophenone. In vivo, rhED-A induced a significant PMN recruitment into the air pouch of C3H/HeOuJ mice (expressing functional TLR-4), but not in C3H/HeJ mice (expressing nonsignaling TLR-4). CONCLUSION: These results demonstrate the ability of rhED-A to promote LTB4 biosynthesis and PMN migration through TLR-4 activation, thus providing new insights on TLR-dependent mechanisms of regulation of LTB4 biosynthesis and PMN infiltration in inflammatory joint diseases.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".