Function of Angiostatin in Acute Lung Inflammation
Bibliographic record
Abstract
ALI is characterized by the migration of activated neutrophils into lungs and causes significant mortality. Although necessary, activated neutrophils also cause significant tissue damage. The mechanisms of neutrophils migration and pathogenesis of ALI are not fully understood. Angiostatin binds to ATP synthase and integrins, and inhibits angiogenesis. We investigated effect of subcutaneous administration of angiostatin in a mouse model of E. coli lipopolysaccharide (LPS) induced ALI. Immunohistochemistry showed higher expression of angiostatin/plasminogen in the airways and blood vessels in the inflamed lungs. Angiostatin expression was increased in inflamed lung extracts as well as bronchoalveolar lavage (BAL) supernatant (P<0.007). Angiostatin treatment of the LPS‐treated mice decreased total cell counts and protein concentration (P<0.05) but increased (P<0.05) apoptotic neutrophils in BAL and decreased (P<0.05) myeloperoxide in lung extracts. The protein and mRNA expression of cytokines and chemokines (IL‐1β, KC, MCP‐1 and MIP‐1α) was not altered in LPS+angiostatin mice. We conclude that angiostatin expression is increased in inflamed lungs and angiostatin treatment inhibits neutrophil migration into the inflamed lungs and lung inflammation. (Funding NSERC Discovery Grant) Grant Funding Source : NSERC Discovery Grant
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".