E/P-selectin-deficient mice: an optimal mutation for abrogating antigen but not tumor necrosis factor-α-induced immune responses
Bibliographic record
Abstract
Leukocyte recruitment in cremaster microcirculation was visualized by intravital microscopy, either in ovalbumin sensitized and challenged animals, or in response to TNF-alpha. In antigen-challenged mice a significant increase in leukocyte rolling (approximately 50 to 200-300 cells/min) and adhesion (2 to 15-20 cells/100 microm), and a very dramatic increase in emigration ( approximately 1 to >40 cells/field) was observed over 24 h. Although rolling and adhesion was dramatically blunted in P-selectin- or P selectin/ICAM-1-deficient mice, emigrated cell number was similar to that observed in wild-type mice. Leukocyte rolling, adhesion and emigration was almost entirely abrogated over 24 h in E/P-selectin-deficient mice, demonstrating that antigen-induced leukocyte recruitment can be entirely disrupted in the absence of both endothelial selectins. However, E/P-selectin-deficient mice were able to recruit leukocytes at 24 h after TNF-alpha challenge. Rolling 24 h post-TNF-alpha in E/P-selectin-deficient mice was not inhibitable with anti-L-selectin antibody, suggesting an entirely selectin-independent pathway of rolling. We identified this pathway to be alpha (4)-integrin dependent and demonstrated that VCAM-1 expression was increased only in mice challenged with TNF-alpha. These data demonstrate that, in vivo, sufficient amounts of TNF-alpha can recruit leukocytes independently of selectins, whereas inhibition of endothelial selectins is the optimal intervention in reducing the immune response to antigen.
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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 | 0.001 |
| 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".