Adenovirus-delivered angiopoietin-1 treatment for phosgene-induced acute lung injury
Bibliographic record
Abstract
CONTEXT: Exposure to phosgene can result in an acute lung injury, leading to pulmonary edema and even death. Angiopoietin-1 (Ang1) is a critical factor for vascular stabilization due to its ability to reduce endothelial permeability and inflammation. OBJECTIVE: In this study, the histopathological changes of the lungs after exposure to phosgene and the effect of Ang1 treatment were examined. MATERIALS AND METHODS: Rats were exposed to phosgene gas at 8.33 g/m³ for 5 min. Ang1 overexpressing rats were established by an intravenous injection of adenovirus-Ang1 (Ad/Ang1). The histological changes of the lung were examined by Haematoxylin-Eosin (H&E) staining and fluorescence microscopy. The inferior lobe was used for the determination of the ratio of wet weight to dry weight of the lung. The concentration of cytokines in the serum and bronchoalveolar lavage fluid was determined by enzyme-linked immunosorbent assay. RESULTS: The pathological analysis showed signs of inflammation and edema, evident from a significant increase in the number of leukocytes in bronchoalveolar lavage fluid and the ratio of wet to dry weight of the lungs. The lung injury induced by phosgene was markedly reduced after the injection of Ad/Ang1. The increase of IL-1β and IL-17 and decrease of vascular endothelial growth factor in the serum and bronchoalveolar lavage fluid of phosgene-exposed animals were abolished by the administration of Ad/Ang1. DISCUSSION AND CONCLUSIONS: Ang1 has the beneficial effects on phosgene-induced lung injury. The adenovirus-delivered Ang1 may have the potential as a novel approach for the treatment of the acute lung injury caused by phosgene gas inhalation in humans.
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 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".