Advanced iron-overload cardiomyopathy in a genetic murine model is rescued by resveratrol therapy
Bibliographic record
Abstract
Iron-overload cardiomyopathy is prevalent on a worldwide basis and is a major comorbidity in patients with genetic hemochromatosis and secondary iron overload. Therapies are limited in part due to lack of a valid preclinical model, which recapitulates advanced iron-overload cardiomyopathy. Male hemojuvelin (HJV) knockout (HJVKO) mice, which lack HJV, a bone morphogenetic co-receptor protein required for hepcidin expression and systemic iron homeostasis, were fed a high-iron diet starting at 4 weeks of age for a duration of 1 year. Aged HJVKO mice in response to iron overload showed increased myocardial iron deposition and mortality coupled with oxidative stress and myocardial fibrosis culminating in advanced iron-overload cardiomyopathy. In a parallel group, iron-overloaded HJVKO mice received resveratrol (240 mg/day) at 9 months of age until 1 year of age. Echocardiography and invasive pressure–volume (PV) loop analyses revealed a complete normalization of iron-overload mediated diastolic and systolic dysfunction in response to resveratrol therapy. In addition, myocardial sarcoplasmic reticulum Ca2+ ATPase (SERCa2a) levels were reduced in iron-overloaded hearts and resveratrol therapy restored SERCa2a levels and suppressed up-regulation of the sodium–calcium exchanger (NCX1). Further, iron-mediated oxidative stress and myocardial fibrosis were suppressed by resveratrol treatment with concomitant activation of the p-Akt and p-AMP-activated protein kinase (AMPK) signaling pathways. A combination of ageing and high-iron diet in male HJVKO mice results in a valid preclinical model that recapitulates iron-overload cardiomyopathy in humans. Resveratrol therapy resulted in normalization of cardiac function demonstrating that resveratrol represents a feasible therapeutic intervention to reduce the burden of iron-overload cardiomyopathy.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".