P38 MAPK: critical molecule in thrombin-induced NF-κB-dependent leukocyte recruitment
Bibliographic record
Abstract
Thrombin-stimulated endothelium synthesizes numerous adhesion molecules to recruit leukocytes; however, it is unknown which intracellular pathways are responsible for this event. A recent report from our laboratory has shown that thrombin induces E-selectin expression and that blocking nuclear factor-kappa B (NF-kappa B) activity partially blocked both E-selectin expression (60%) and leukocyte recruitment. In this study, we systematically assessed the importance of p38 MAPK in thrombin-induced NF-kappa B activation and E-selectin-dependent leukocyte recruitment. Thrombin caused phosphorylation of p38 MAPK, its substrate ATF-2, and JNK MAPK, but not ERK MAPK. The p38 MAPK inhibitors, SKF86002 and SB-203580 only reduced ATF-2 activity. We treated human umbilical vein endothelial cells with SKF86002, 1 h before thrombin stimulation, and noted inhibition of NF-kappa B mobilization and complete inhibition of leukocyte rolling and adhesion in a laminar flow chamber. Significant inhibition of leukocyte recruitment and E-selectin expression was also observed with SB-203580. SKF86002 did not affect other systems, including tumor necrosis factor-alpha-induced E-selectin-dependent leukocyte recruitment. Moreover, thrombin-induced rapid mobilization of P-selectin from Weibel Palade bodies was not p38 MAPK dependent. These data suggest that thrombin induces p38 MAPK activation, which leads to NF-kappa B mobilization to the nucleus and causes the upregulation of E-selectin and subsequent leukocyte recruitment.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".