Reduction of Acute Lung Injury by Administration of Spironolactone After Intestinal Ischemia and Reperfusion in Rats
Bibliographic record
Abstract
PURPOSE: Multiple organ failure, including acute lung injury, is a common complication of intestinal ischemia and reperfusion (I/R) injury and contributes to its high mortality rate. Activated polymorphonuclear neutrophils and reactive oxygen species contribute to the lung injury caused by intestinal I/R. Mineralocorticoid receptor antagonist spironolactone has a protective effect against I/R injury in animal models of retina, kidney, heart, and brain. The aim of the present study is to investigate the effect of aldosterone receptor blocker spironolactone on lung injury induced by intestinal I/R. METHODS: Wistar albino rats were divided into four groups: (1) sham control; (2) intestinal I/R (30 min of ischemia by superior mesenteric artery occlusion followed by 3 h of reperfusion); (3) spironolactone pretreatment (20 mg/kg) + I/R; and, (4) spironolactone pretreatment without I/R. Spironolactone was given orally 3 days prior to intestinal I/R. A marker for lipid peroxidation (malondialdehyde; MDA), an indicator or oxidation state (reduced glutathione; GSH), an index of polymorphonuclear neutrophil sequestration (myeloperoxidase; MPO), inducible nitric oxide synthase (iNOS) immunoreactivity, and the histopathology of the lung tissue were analyzed. RESULTS: Spironolactone pretreatment markedly reduced intestinal I/R-induced lung injury as indicated by histology and MDA and MPO levels. Moreover, the pretreatment decreased the iNOS immunoreactivity. CONCLUSION: The present study strongly suggests that spironolactone pretreatment decreased neutrophil infiltration, iNOS induction, oxidative stress, and histopathological injury in an experimental model of intestinal I/R induced-lung injury of rats.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".