Abstract 12560: Effect of Somah Solution on Hypoxia/Reoxygenation Induced Coronary Artery Endothelial Injury: A Comparison to Current Ex-Vivo Heart Perfusates
Bibliographic record
Abstract
Introduction: Ex-Vivo Heart Perfusion (EVHP) has been proposed to expand cardiac donation by enabling resuscitation and preservation of hearts donated after circulatory death. Hypoxia/reoxygenation endothelial injury affects organ viability and patient’s outcomes. STEEN Solution is accepted as the primary component for perfusion of other solid organs. However, there is lack of evidence to determine the optimal perfusate composition to maintain cardiac viability during longer periods of perfusion. Somah solution has been proposed as a novel cardioprotective solution optimized to meet cardiac metabolism and confer enhanced protective effects against reperfusion injury. Our aim was to compare the effects of STEEN and Somah on endothelial reoxygenation injury in vitro. Methods: Human coronary artery endothelial cells were exposed to 16 hours of hypoxia in culture medium followed by 16 hours of reoxygenation treated with Celsior, STEEN or Somah to simulate the EVHP setting. Endothelial activation markers’ gene expression was assessed through qRT-PCR; supernatant was collected to quantify endothelin-1 (ET-1) with ELISA; and quantitative neutrophil adhesion assay was performed to evaluate endothelial function. Results: Treatment with Somah demonstrated decreased expression of cell surface adhesion molecules E-Selectin (Me 0.133±0.12, So -0.073±0.34, ST 1.624±0.46, Ce 0.999±0.45 fold-change from hypoxia; p=0.002) and VCAM-1 (Me -0.004±0.20, So -0.363±0.43, ST 0.428±0.39, Ce 0.597±0.13 fold-change from hypoxia; p=0.023), and vasoactive molecule MCP-1 (Me 0.225±0.72, So -0.510±0.70, ST 1.500±0.49, Ce 0.829±0.28 fold-change from hypoxia; p=0.015). Celsior and Somah reduced cell secretion of ET-1 (Me 395 pg/ml, So 20 pg/ml, ST 448 pg/ml, Ce 16 pg/ml; n=4, p<0.05). Reoxygenation injury increased neutrophil adhesion to endothelial cells; there was a non-statistically significant trend towards protection against this injury with Somah. Conclusions: Somah exerts protective effect against reoxygenation injury when compared to STEEN in vitro. It may have utility in enhancing cardiac organ preservation during EVHP. Future studies in a pre-clinical setting should be conducted to address this question.
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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) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".