Extracellular signal‐regulated kinase plays an essential role in endothelin‐1‐induced homotypic adhesion of human neutrophil granulocytes
Bibliographic record
Abstract
1. Endothelin-1 (ET-1) stimulates integrin-dependent adhesion of neutrophil granulocytes to endothelial cells, one of the early key events in acute inflammation. However, the signalling pathway(s) of ET-1-stimulated neutrophil adhesive responses has not been elucidated. Previous studies indicated that extracellular signal-regulated kinase (ERK) activation could mediate rapid responses of neutrophil granulocytes to various stimuli. In this study, we investigated the role of ERK signalling in human neutrophil granulocytes challenged with ET-1. 2. ET-1 rapidly down-regulated the expression of L-selectin and up-regulated the expression of CD11b/CD18 on the neutrophil surface. Concomitantly, ET-1 induced homotypic adhesion (aggregation) of neutrophils, that was blocked by a monoclonal antibody to CD18. 3. ET-1, through ET(A) receptors, evoked activation of Ras and subsequent phosphorylation of Raf-1, mitogen-activated protein kinase kinase (MAPK/ERK kinase) and ERK 1/2. ERK activation by ET-1 was rapid, concordant with the kinetics of ET-1-stimulated neutrophil aggregation. 4. Neutrophil responses to ET-1 were markedly attenuated by the MAPK/ERK kinase inhibitor PD98059, whereas inhibitors of p38 MAPK, tyrosine kinases and phosphatidylinositol 3-kinase had no detectable effects. We have observed a tight correlation between neutrophil ERK activation and homotypic adhesion. 5. These data indicate an essential role for ERK in mediating ET-1-stimulated adhesive responses of human neutrophil granulocytes.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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".