CD47 deficiency ameliorates autoimmune nephritis in Faslpr mice via suppressing IgG autoantibody production (THER5P.912)
Bibliographic record
Abstract
Abstract CD47, a self-recognition marker, significantly regulates both innate and adaptive immune response. To explore the potential role of CD47 in activation of autoreactive T and B cells and the production of autoantibodies in diseases such as systemic lupus erythematosus, we generated CD47-knockout in spontaneous lupus mice (Faslpr). In comparison with Faslpr mice, CD47-/--Faslpr mice exhibited a prolonged lifespan, with no apparent signs of autoimmune nephritis including glomerular cell proliferation, acute tubular atrophy and vacuolization. CD47-/--Faslpr mice had lower level of proteinuria, lower deposition of C3 and C1q in the glomeruli and lesser pronounced splenomegaly compared to the age-matched Faslpr mice. Serum levels of antinuclear antibodies and anti-double-stranded DNA antibodies in CD47-/--Faslpr mice were also significantly reduced. The mechanistic studies further suggested that CD47 deficiency might impair the antigenic challenge-induced production of mouse high affinity IgG but not IgM through reducing T follicular cell production, which results in an impaired formation of germinal centers in lymph tissue. In conclusion, our results demonstrate for the first time that CD47 deficiency ameliorates lupus nephritis in Faslpr mice via suppressing IgG autoantibody production.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".