Angiopoietin chemotactic activities on neutrophils are regulated by PI-3K activation
Bibliographic record
Abstract
Angiopoietins (Ang1 and Ang2) modulate blood vessel integrity during the angiogenic process through the activation of tyrosine kinase receptor (Tie2). We recently detected Tie2 expression on neutrophils and reported that angiopoietins induce acute proinflammatory events including neutrophil beta2-integrin activation and their adhesion onto endothelial cells. Herein, we investigated the effect of angiopoietins on neutrophil migration and their capacity to modulate CXCL8/IL-8 chemotactic properties. Using a Boyden chamber assay, we observed that Ang1 and Ang2 (up to 10 nM; 60 min) increased the migration of neutrophils, and the maximal effect was achieved at 1 nM (72% and 114% increase, respectively) as compared with untreated cells. Angiopoietins induce a rapid and transient Akt phosphorylation, and pretreatment of neutrophils with PI-3K inhibitors, wortmannin (100 nM) and LY294002 (500 nM), reduced Ang1-mediated neutrophil migration by 100% and 78% and Ang2 chemotactic activity by 100% and 71%, respectively. Treatment of neutrophils with CXCL8/IL-8 (up to 50 nM; 60 min) increased basal neutrophil migration by 257% at its optimal concentration (10 nM), and pretreatment of neutrophils with corresponding PI-3K inhibitors reduced CXCL8/IL-8 (1 nM) chemotactic effect. Pretreatment of neutrophils with Ang1 or Ang2 (10 nM; 15 min) potentiated neutrophil migration induced by CXCL8/IL-8 (1 or 10 nM; 60 min) by 263% and 238% and by 177% and 164%, respectively. Finally, both angiopoietins showed a synergistic effect on the induction of Akt phosphorylation mediated by CXCL8/IL-8. In summary, our data demonstrate that angiopoietins increase neutrophil migration through PI-3K activation and can enhance proinflammatory activities of other cytokines.
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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) | 0.000 | 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) | 0.000 | 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".