Effects of Preoperative Curcumin on the Inflammatory Response During Mechanical Circulatory Support: A Porcine Model
Bibliographic record
Abstract
BACKGROUND: Curcumin is a polyphenol extracted from the turmeric plant which may have anti-inflammatory properties. We hypothesized that curcumin pretreatment would result in a reduction in inflammatory markers in a large animal model of extracorporeal support. METHODS: A total of seven samples were obtained from three swine treated with curcumin and 16 samples were obtained from six swine in the control group (procedure terminated in two swine before last sample could be obtained). RESULTS: Samples for interleukin (IL)-8 and IL-1b had concentrations below the limit of detection at all points and were discarded from further analysis. IL-6, tumor necrosis factor (TNF)-α, and intercellular adhesion molecule (ICAM)-1 concentrations were lower in curcumin pretreated animals when compared to control animals. This decrease was statistically significant for TNF-α, and ICAM-1. CONCLUSIONS: This project may provide information for the development of a translational study in humans as we noted that curcumin pretreatment in a large animal model of cardiopulmonary bypass (CPB) and extracorporeal support resulted in a decrease in TNF-α and ICAM-1 expression compared to control animals.
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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 | 0.002 | 0.002 |
| 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 | 0.002 |
| 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".