Cytoprotective Effects of Nitroglycerin in Ischemia–Reperfusion-Induced Lung Injury
Bibliographic record
Abstract
Prevention of ischemia-reperfusion (IR) injury is crucial for successful lung transplantation. We investigated whether a nitric oxide donor, nitroglycerin (NTG), could suppress the oxidative stress of IR injury and improve pulmonary function after reperfusion in an ex vivo rat lung perfusion model. In Fresh group of animals, the lungs were flushed with perfusate, followed immediately by reperfusion, and no lung injury was observed. In NTG- and NTG+ groups of animals, the lungs were flushed with perfusate alone or perfusate containing NTG, respectively. Harvested lung and heart blocks from these latter two groups were immersed in the corresponding perfusate at 4 degrees C for 15 h, and were then reperfused for 60 min. Reperfusion induced pulmonary edema in the NTG- group, but not in the NTG+ group. Shunt fractions in NTG+ group were significantly lower than in the NTG- group throughout reperfusion. NTG had no effect on pulmonary arterial pressure or myeloperoxidase activity. In contrast, oxidative DNA damage assessed immunohistochemically with a monoclonal antibody against 8-hydroxy-2'-deoxyguanosine (8-OHdG) was significantly increased in the NTG- group, in the order alveolar epithelium > pulmonary endothelium > bronchial epithelium. NTG treatment significantly decreased staining with the anti-8-OHdG antibody in all three areas of tissue. Therefore, administration of NTG attenuates the oxidative stress of IR injury, and may improve pulmonary function after reperfusion.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".