Salutary effect of resveratrol on sepsis-induced myocardial depression*
Bibliographic record
Abstract
OBJECTIVES: We hypothesized that resveratrol administration would reverse sepsis-dependent downregulation of peroxisome proliferator activated receptor-γ coactivator 1α, preserve mitochondrial integrity, and rescue animals from sepsis-induced myocardial failure. SETTING: Teaching hospital research laboratory. INTERVENTIONS: Cecal ligation and puncture in mice was performed to induce sepsis. Mice that underwent cecal ligation and puncture were randomly assigned to receive resveratrol (30 mg/kg or 60 mg/kg) or vehicle 1 mL sodium chloride 0.9% subcutaneously in the scruff of the neck directly after surgery and at 16, 24, and 40 hrs, respectively. MEASUREMENTS AND RESULTS: Forty-eight hrs after cecal ligation and puncture, cardiac performance was established using echocardiography. Mitochondrial integrity was evaluated with electron microscopy, and changes in gene expression were evaluated with microarray analysis. Survival at 48 hrs was just under 50% and comparable between groups. Myocardial contractile function significantly improved after resveratrol treatment. Resveratrol-treated mice developed focal areas of edema, whereas vehicle-treated mice developed significant, diffuse myocardial edema. Electron microscopy revealed widespread swollen mitochondria with ruptured outer membranes, autophagosomes, and vacuolation of the internal compartment, which were significantly attenuated in resveratrol-treated animals. Resveratrol treatment significantly increased cardiac expression of peroxisome proliferator-activated receptor-γ coactivator 1a. Microarray analysis revealed that resveratrol treatment resulted in upregulation of the peroxisome proliferator-activated receptor-γ coactivator gene set containing genes known to be regulated by this transcriptional coactivator. Our data strongly suggest that administration of resveratrol modulates bioenergy metabolism, substrate utilization, oxidative stress, and detoxification pathways associated with both mitochondrial and cardiac pathological conditions, but does not alter mortality from sepsis. CONCLUSIONS: The salutary effects of resveratrol on cecal ligation and puncture-induced myocardial dysfunction are associated with increased peroxisome proliferator-activated receptor-γ coactivator 1a abundance and function. Preservation of myocardial energy production capacity, prevention of secondary injury, mitigation of inflammation, and reversal of sepsis-induced myocardial remodeling are likely to underlie its beneficial effects. This however, does not result in improved survival.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".