F-130<i>EX VIVO</i>ADMINISTRATION OF TRIMETAZIDINE IMPROVES POST-TRANSPLANT LUNG FUNCTION IN A PIG MODEL
Bibliographic record
Abstract
Objectives:Ex vivo lung perfusion (EVLP) is an established method to reassess marginal donor lungs. It is also a platform to deliver therapeutics outside the body. Previously we have shown the beneficial effects of trimetazidine (TMZ) on ischaemia reperfusion injury in a rat model. This study evaluated the effect of ex vivo delivered TMZ in a pig lung transplant model. Methods: Pig lungs were retrieved and stored 24 h at 4°C followed by 4-h EVLP according to the Toronto protocol on randomly allocated to two groups (n = 5, each): control (CON) and treatment (TMZ). TMZ (5 mg/kg) was added in the prime solution prior to EVLP. Left lungs were then transplanted and recipients were observed for 4 h. Lung function and mechanics were recorded hourly throughout reperfusion. At the end of the 4-h reperfusion, the right pulmonary artery was occluded for 5 minutes to assess isolated allograft function. Bronchoalveolar lavage (BAL) and tissue samples were harvested for biochemical assessments. Results: The TMZ group showed a significantly better oxygenation throughout the 4-h reperfusion period (P = 0.04) and after isolation of the allograft (P = 0.04). During EVLP, the TMZ group showed a trend toward higher oxygenation (P = 0.06). Dynamic compliance and pulmonary vascular resistance were comparable between the two groups during EVLP. Tissue thiobarbituric acid level, myeloperoxidase activity and total protein concentration in BAL were significantly lower in the TMZ group at the end of EVLP. Conclusion:Ex vivo administration of TMZ improved pulmonary gas exchange after reperfusion. Protective effect of TMZ was attributed to inhibition of lipid peroxidation and neutrophil infiltration during EVLP. Further studies are warranted to elucidate mechanisms of the beneficial effect of TMZ in this setting. Disclosure: No significant relationships.
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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) | 0.000 | 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 | 0.001 |
| 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".