Abstract 19196: Resveratrol Prevents the Oxidative Stress and Diastolic Dysfunction in Iron-overload Cardiomyopathy
Bibliographic record
Abstract
Introduction: Iron-overload cardiomyopathy results in heart failure with high morbidity and mortality. Iron-overload results in iron-induced oxidative stress and organ dysfunction and is associated with genetic and acquired iron-overload conditions. Resveratrol is a natural polyphenol with a broad range therapeutic potential. Hypothesis: We hypothesized that resveratrol will reduce iron-induced oxidative stress and prevent iron-overload cardiomyopathy. Methods and Results: Iron-overload cardiomyopathy was induced by treating 10 week old male C57Bl6 mice sub-acutely with iron-dextran at 5 mg/25g body weight i.p, 5 days/week for 4 weeks. The antioxidant and metabolic modulator, resveratrol was given at 190 mg/kg/day. Quantification of tissue iron showed significant deposition in the heart (350±27 vs 5304±773 µg/mg tissue; n=10, p<0.01) which was confirmed by Prussian blue staining. Hemodynamic (+dP/dt/-dP/dt max ratio=1.0 vs 1.7; n=6) and echocardiographic (E/A ratio: 1.46±0.043 vs 1.27±0.06, n=6, p<0.05; E’/A’ ratio: 0.77±0.04 vs 1.20±0.05, n=7, p<0.01) analysis showed diastolic dysfunction with preserved systolic function in iron-overload hearts in the absence of increased myocardial fibrosis. Resveratrol treatment prevented the development of diastolic dysfunction (E/A ratio:1.27±0.06 vs 1.67±0.13 and E’/A’:1.2±0.05 vs 0.80±0.02; n=7, p< 0.01; hemodynamic: +dP/dt/-dP/dt ratio: 1.6 vs 1.1 n=6, p<0.01) without altering the degree of iron-overload (5200±743 µg/mg tissue ; n=10). Increased expression of ANF (65%), BNP (103%) and β-MHC (44%) showed a complete normalization with resveratrol treatment. Expression of oxidative stress-related genes, thioredoxin (91%), catalase (140%), glutathione peroxidase (548%) and superoxide dismutase (87%) were increased in iron-overload mice treated with resveratrol with a complete normalization of reduced glutathione levels in the heart (GSH: 50 vs 250ng/mg tissue). Conclusions: Iron-overload resulted in oxidative stress mediated selective diastolic dysfunction with preserved systolic function. Treatment with resveratrol can prevent oxidative stress and myocardial injury and protect the heart from the iron-overload induced diastolic dysfunction.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".