Angiopoietin‐1 but not angiopoietin‐2 induces IL‐8 synthesis and release by human neutrophils
Bibliographic record
Abstract
We previously reported Tie2 receptor expression on human neutrophils, which promote chemotactic activities upon activation by both angiopoietins (Ang1 and Ang2). Moreover, we observed that neutrophil pretreatment with Ang1 or Ang2 enhances interleukin-8 (IL-8) chemotactic effect. Therefore, we assessed the capacity of Ang1 and/or Ang2 to modulate neutrophil IL-8 synthesis and release. Neutrophils isolated from healthy donors were stimulated in a time- (1-6 h) and concentration-(10(-10) -10(-8) M) dependent manner with both angiopoietins. IL-8 mRNA production was measured by RT-qPCR, whereas its protein synthesis and release from neutrophils was assessed by ELISA. Ang1 (10(-8) M) induced a significant and maximal increase of IL-8 mRNA (4.7-fold) within 1 h, and promoted maximal IL-8 protein synthesis (3.6-fold) and release (5.5-fold) within 2 h as compared to control PBS-treated neutrophils. Treatment with Ang2 alone did not modulate IL-8 synthesis or release, and its combination to Ang1 did not affect Ang1 activity. Neutrophil pretreatment with a protein synthesis inhibitor (CHX) increased IL-8 mRNA synthesis by 18-fold, and reduced Ang1-mediated IL-8 protein synthesis and release by 96% and 92%, respectively. Pretreatment with a transcription inhibitor (ActD) reduced IL-8 mRNA synthesis by 54% and IL-8 protein synthesis and release by 52% and 79%, respectively. Using specific kinase inhibitors, we observed that Ang1-driven IL-8 mRNA and protein synthesis is p42/44 MAPK-dependent and -independent from p38 MAPK and PI3K activity. Our study is the first to report the capacity of Ang1 (as opposed to Ang2) to promote neutrophil IL-8 synthesis and release through the activation of p42/44 MAPK pathway.
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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".