Angiopoietin-2 promotes myeloid cell infiltration in a β2-integrin–dependent manner
Bibliographic record
Abstract
In human inflammatory diseases, we identified endothelial angiopoietin-2 (Ang-2) expression to be strongly associated with inflammations mediated by myeloid cells but not lymphocytes. To identify the underlying mechanism, we made use of a transgenic mouse model with inducible endothelial cell-specific expression of Ang-2. In this model, in the absence of inflammatory stimuli, long-term expression of Ang-2 led to a time-dependent accumulation of myeloid cells in numerous organs, suggesting that Ang-2 is sufficient to recruit myeloid cells. In models of acute inflammation, such as delayed-type hypersensitivity and peritonitis, Ang-2 transgenic animals showed an increased responsiveness. Intravital fluorescence video microscopy revealed augmented cell adhesion as an underlying event. Consequently, we demonstrated that Ang-2 is able to induce strong monocyte adhesion under shear in vitro, which could be blocked by antibodies to β₂-integrin. Taken together, our results describe Ang-2 as a novel, endothelial-derived regulator of myeloid cell infiltration that modulates β₂-integrin-mediated adhesion in a paracrine manner.
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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) | 0.001 | 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".