The prothrombinase activity of FGL2 contributes to the pathogenesis of experimental arthritis
Bibliographic record
Abstract
OBJECTIVE: Fibrin deposition is integral to the pathogenesis of collagen-induced arthritis (CIA), an experimental model of rheumatoid arthritis (RA). Membrane-associated fibrinogen-like protein 2 (mFGL2), a novel inducible prothrombinase, generates fibrin by an alternate pathway and has been reported to be involved in the pathogenesis of a number of immune-mediated diseases. We hypothesized that expression of mFGL2 in inflamed synovium contributes to the fibrin deposition and subsequent inflammation in arthritis. METHODS: DBA/1 mice were immunized with 100 µg bovine collagen type II (CII) emulsified in complete Freund's adjuvant (CFA) followed by lipopolysaccharide (LPS) injection. Expression of mFGL2 prothrombinase in association with fibrin deposition was examined in mice with CIA and CD200-treated mice following induction of CIA. To directly assess the contribution of mFGL2, fgl2(-/-) mice were injected with antibody to CII (anti-CII). RESULTS: Levels of fgl2 mRNA transcripts and mFGL2 protein were markedly up-regulated in joints of mice that developed CIA. Fibrin deposition was prominent within the synovial lining and articular joint space associated with expression of mFGL2. Inhibition of CIA by the immunosuppressant CD200 was associated with decreased expression of fgl2 mRNA and mFGL2 protein and absence of fibrin deposition. Following injection of anti-CII, all fgl2(+/+) mice developed severe arthritis with clinical and histological manifestations characteristic of RA, whereas fgl2(-/-) mice failed to develop any clinical manifestation or histological evidence of arthritis. CONCLUSIONS: This study demonstrates that the prothrombinase activity of mFGL2 contributes to the pathogenesis of experimental arthritis. These studies may have therapeutic implications for patients with RA.
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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) | 0.001 | 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".