Bibliographic record
Abstract
Fgl2, has been implicated in the pathogenesis of viral-induced hepatitis, cytokineinduced fetal loss syndrome, allograft and xenograft rejection.This 432-amino-acid protein, a member of the fibrinogen-related protein superfamily was originally cloned from a mouse cytotoxic T lymphocyte cell line.Preliminary findings from our laboratory suggest that fgl2 exists both as a transmembrane protein and a secreted form with a truncated N-terminus.Studies demonstrate that fgl2 expressed on the membranes of murine hepatitis type-3 infected macrophages and endothelial cells exhibit prothrombinase activity.In contrast, no coagulant activity was detected from the T cell secreted form of fgl2.Since proteins belonging to the fibrinogen-related protein superfamily are known to exert multifaceted roles in the immune and inflammatory response, we postulated that secreted fgl2 exerts immunomodulatory activity.To examine this, we overexpressed fgl2 protein in a baculovirus expression system and studied secreted protein for its effect on primary immune responses.Purified fgl2 protein inhibited T lymphocyte proliferation in allogeneic, anti-CD3 antibody, and Con A-stimulated murine spleen cells in a dose-dependent fashion.This was inhibited by monoclonal antibodies against mouse fgl2.Decreased levels of IL-2 and IFNgamma and increased levels of IL-4 and IL-10 were observed in supernatants from an allogeneic mixed lymphocyte reaction to which purified fgl2 protein had been added.Furthermore, fgl2 protein prevented LPS-induced maturation of bone marrow-derived DC by decreasing the expression of the co-stimulatory molecules CD80 and CD86.These results provide the first evidence to demonstrate that fgl2 exerts anti-inflammatory properties with an inhibitory effect on T lymphocyte activation via promotion of a Th2 cytokine profile and inhibition of dendritic cell maturation.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.646 | 0.488 |
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".