Targeted deletion of fgl2 leads to impaired regulatory T cell activity and development of autoimmune glomerulonephritis
Bibliographic record
Abstract
Mice with targeted deletion of fibrinogen‐like protein 2 ( fgl2 ) spontaneously developed autoimmune glomerulonephritis with increasing age, as did wild‐type recipients reconstituted with fgl2 −/− bone marrow. These data implicate FGL2 as an important immunoregulatory molecule and led us to identify the underlying mechanisms. Deficiency of FGL2, produced by CD4 + CD25 + regulatory T cells (Treg), resulted in increased T cell proliferation to lectins and alloantigens, T helper 1 (Th1) polarization, and increased numbers of antibody‐producing B cells following immunization with T‐independent antigens. Dendritic cells (DC) were more abundant in fgl2 −/− mice and had increased expression of CD80 and MHCII following LPS stimulation. Treg cells were also more abundant in fgl2 −/− mice, but their suppressive activity was significantly impaired. Antibody to FGL2 completely inhibited Treg cell activity in vitro . FGL2 inhibited DC maturation and induced apoptosis of B cells through binding to the low affinity FcγRIIB receptor. Collectively, these data suggest that FGL2 contributes to Treg cell activity and inhibits the development of autoimmune disease. This work was supported in part by grants from the Heart and Stroke Foundation of Canada and the Canadian Institutes for Health Research.
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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 | 0.001 | 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) | 0.002 | 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".