Localized pulmonary vascular changes in a mouse model of subarachnoid hemorrhage created by combining filament perforation and blood injection
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: Subarachnoid hemorrhage (SAH) results in neurogenic pulmonary edema (NPE), a condition with a high mortality rate arising from increased hydrostatic pressure and vascular permeability. Two possible mechanisms of NPE are increased hydrostatic pressure and increased vascular permeability, and it is possible that increased permeability of capillaries in the lungs may contribute to the exacerbation of NPE. Recent research has highlighted the importance of the glycocalyx, a gel-like layer that lines blood vessels, in regulating vascular permeability in various diseases. However, its role in NPE after SAH has not been previously explored. This study investigated the involvement of the glycocalyx in the development of NPE by developing a mouse model of SAH. METHODS: The SAH model was developed by combining internal carotid artery (ICA) perforation and blood infusion into the cisterna magna of mice. The histological structure of the lungs was confirmed using micro-CT, histopathological examination, and scanning electron microscopy. RESULTS: Despite no obvious micro-CT findings indicating pulmonary edema, histopathological changes in hematoxylin and eosin-stained lung were detected. Scanning electron microscopy revealed glycocalyx exfoliation within the pulmonary microvascular wall. A trend toward higher plasma syndecan-1 levels was also observed. CONCLUSION: The combination of ICA perforation and blood infusion into the cisterna magna can produce pulmonary findings in mice that mimic NPE after SAH. The results also suggest that glycocalyx loss is involved in the development of NPE after SAH.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it