Endothelin Receptor Antagonist SB209670 Decreases Lung Allograft Apoptosis and Improves Lung Graft Function After Prolonged Ischemia
Bibliographic record
Abstract
Apoptosis has been postulated as a contributing factor in ischemia-reperfusion graft dysfunction following lung transplantation. The purpose of this study was to determine whether treatment with an endothelin-A/endothelin-B- (ET(A)/ET(B)) receptor antagonist could reduce the level of apoptosis observed in the lung following ischemia-reperfusion injury. Eleven dogs were subjected to left lung allotransplantation. Heart-lung blocks were harvested from donor dogs and preserved with modified Eurocollins solution and stored at 4 degrees C for 18 to 20 h. We investigated the level of apoptosis by terminal deoxynucleotidyl transferase-mediated dUTP nick end-labeling (TUNEL), in the lungs of animals receiving an intravenous infusion of saline (control, n = 5) or the ET receptor antagonist SB209670 (n = 6) (15 microg/kg/min). The infusion began 30 min prior to transplantation and continued for up to 6 h thereafter. The TUNEL staining was significantly higher in the airway epithelium and the parenchyma of the saline (control) group (40.67 +/- 6.16), compared with native right lungs (5.00 +/- 0.56) and the treatment group (14.13 +/- 2.84). We conclude that treatment of lung allografts with the mixed ET(A)/ET(B)-receptor antagonist SB209670 can ameliorate lung injury by reducing the level of apoptosis seen in the allograft following ischemia-reperfusion injury.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 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".