Selective recruitment of neutrophils and lymphocytes by thrombin: a role for NF-κB
Bibliographic record
Abstract
With the use of a whole blood laminar flow chamber system, we examined the types of leukocytes, adhesion molecules and the role of nuclear factor-kappaB (NF-kappaB) in thrombin-induced leukocyte recruitment. Primary human umbilical vein endothelial cells (HUVEC) stimulated with thrombin induced a significant increase in P-selectin-dependent neutrophil recruitment. Unexpectedly, brief thrombin stimulation (3 min) of endothelium also induced a significant lymphocyte recruitment 4 h later in addition to neutrophil recruitment. E-selectin antibody reduced neutrophil recruitment by >90%, whereas vascular adhesion molecule-1 (VCAM-1)/alpha4-integrin were primarily responsible for lymphocyte recruitment. To examine whether NF-kappaB contributed to leukocyte recruitment 4 h post thrombin stimulation, we treated HUVEC with the NF-kappaB inhibitor MG-132 for 1 h before thrombin stimulation. MG-132 significantly reduced the number of rolling (77.1%) and adherent (79.9%) leukocytes compared with thrombin stimulation alone. The inhibitor was more effective at preventing lymphocyte than neutrophil recruitment, consistent with its greater effect on VCAM-1 versus E-selectin expression. Tumor necrosis factor-alpha- and MG-132-treated HUVEC displayed no inhibition of leukocyte recruitment despite a decrease in NF-kappaB activation. In summary, thrombin causes predominant neutrophil recruitment via rapid P-selectin expression but also a delayed E-selectin- and VCAM-1-dependent neutrophil and lymphocyte recruitment via de novo protein synthesis. Although NF-kappaB mobilization was essential for thrombin-mediated VCAM-1-dependent recruitment, it only partially contributed to E-selectin-dependent 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 | 0.000 | 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 | 0.001 |
| 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".