Vasculotide can attenuate the immune inflammatory response and airway remodeling in chronic experimentally-induced airway inflammation in mice. (HYP2P.343)
Bibliographic record
Abstract
Abstract Inflammation and airway remodeling are features associated with chronic asthmatic lungs. Previous reports have shown the benefits of the angiopoietin-1/Tie2 signaling axis on acute experimentally-induced asthma in mice. However, the more chronic effects as well as the interaction between the inflammatory and vascular components is poorly. Thus, we evaluated the impact of vasculotide, a synthetic Tie2 agonist in a chronic model of asthma. During the chronic allergic response in mice, we show that in addition to endothelial Tie2 receptor expression, there is an increased proportion of dendritic cells and monocytes expressing Tie2. Treatment of experimentally-induced chronic airway inflammation in mice with vasculotide correlated with a skewed CD4+ TH subsets and cytokine profile in the bronchoalveolar lavage of animals. This modified cytokine milieu promoted an altered endothelial cell response characterized by reduced expression of CD62E, CD54 and CD106 on endothelial cells, decreased cellular migration of inflammatory cells to the lung as well as reduced mucus accumulation. Analysis of lung tissues of animals treated with vasculotide revealed a decrease in collagen deposition and thinning of the smooth muscle cell layer in the airways of mice with chronic allergic airway inflammation. Our results demonstrate that vasculotide can impact the inflammatory and remodeling components in chronic asthma through its action on both cells of the immune response and on endothelial cells.
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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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".