Porcine von Willebrand factor and thrombin induce the activation of c‐Jun amino‐terminal kinase (JNK/SAPK) whereas only thrombin induces activation of extracellular signal‐related kinase 2 (ERK2) in human platelets
Bibliographic record
Abstract
The interaction of platelets with subendothelial von Willebrand factor (VWF), especially under high shear stress, is considered to be the first activation step which primes platelets for subsequent haemostatic events. The signalling cascade which results from the interaction of VWF and its receptor GPIbIX has only been partially defined. Mitogen-activated protein kinases (MAPKs) are a family of downstream transmembrane signalling serine-threonine kinases and have been demonstrated to be present and functional in platelets; these include the extracellular signal-related kinases (ERKs), c-Jun amino-terminal kinases (JNKs) and p38 MAPK. Previously, we showed that p38 MAPK was not required in VWF-induced human platelet activation. It is not known whether VWF-dependent platelet activation involves the activation of the JNK and ERK family of signalling molecules. This report demonstrates that porcine von Willebrand factor (pVWF) induced a sustained and stable JNK activation measurable by 1 min after activation. Thrombin also induced JNK activation assessed at 1 min after activation. In contrast to thrombin, pVWF did not induce ERK2 activation at any time point tested. To ensure that ERK activation was unnecessary for pVWF-dependent platelet activation, we functionally inhibited ERK-dependent signalling with PD98059, a potent and selective inhibitor of the MAP kinase kinase (MEK-1), which is the upstream kinase of ERK1 and ERK2. Although PD98059 inhibited ERK2 activation in platelets, it had no effect on pVWF- or thrombin-induced platelet alpha or lysozomal granule release, modulation of membrane glycoprotein CD41, microparticle formation, platelet shape change or platelet agglutination. It is concluded that pVWF and thrombin induced JNK activation, but whereas thrombin induced ERK2 activation VWF did not; functional ERK2 activity was also not required for pVWF- or thrombin-dependent platelet activation.
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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 | 0.000 |
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 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".