Acceleration of the onset of collagen‐induced arthritis by a deficiency of platelet endothelial cell adhesion molecule 1
Bibliographic record
Abstract
OBJECTIVE: Platelet endothelial cell adhesion molecule 1 (PECAM-1; CD31) is a member of the immunoglobulin superfamily that is expressed in platelets, leukocytes, and endothelial cells. PECAM-1 has been shown to play a role in transendothelial migration of leukocytes and contains immunoreceptor tyrosine-based inhibitory motifs in its cytoplasmic tail and inhibits cellular responses. We examined the role of PECAM-1 in the development of collagen-induced arthritis (CIA). METHODS: CIA was induced in PECAM-1-deficient DBA/1 mice. The incidence of arthritis and the arthritis index were examined. Anti-type II collagen (anti-CII) antibody levels and interferon-gamma (IFNgamma) production by lymph node cells and spleen cells were determined. Lymphocytes from arthritic PECAM-1-deficient and wild-type mice were labeled with dye, transferred to arthritic PECAM-1(+/-) mice, and cell migration to inflamed joints was examined. RESULTS: PECAM-1-deficient mice showed accelerated onset of arthritis and increased severity only during the early phase. Anti-CII antibody levels were also increased during the early phase. IFNgamma production by lymph node cells and spleen cells from PECAM-1-deficient mice in response to CII was higher than that in wild-type mice. Lymphocytes from arthritic PECAM-1-deficient mice showed accelerated migration to inflamed joints, but not lymph nodes or spleen. The development of anti-CII antibody-induced arthritis was similar in PECAM-1-deficient and wild-type mice. CONCLUSION: These results indicate that PECAM-1 negatively regulates humoral and cell-mediated immune responses and lymphocyte migration into joints and, consequently, the development of CIA. In addition, the role of PECAM-1 in the transendothelial migration of leukocytes appears to be redundant in this model.
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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) | 0.001 | 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) | 0.000 | 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".