Taurine Supplementation Reduces Oxidative Stress and Improves Cardiovascular Function in an Iron-Overload Murine Model
Bibliographic record
Abstract
BACKGROUND: Iron overload has an increasing worldwide prevalence and is associated with significant cardiovascular morbidity and mortality. Elevated iron levels in the myocardium lead to impaired systolic and diastolic function and elevated oxidative stress. Taurine accounts for 25% to 50% of the amino acid pool in myocardium, possesses antioxidant properties, and can inhibit L-type Ca2+ channels. Thus, we hypothesized that this agent would reduce the cardiovascular effects of iron overload. METHODS AND RESULTS: Iron-overloaded mice were generated by intraperitoneal injection of iron either chronically (5 days per week for 13 weeks) or subacutely (5 days per week for 4 weeks). Iron overload causes increased mortality, elevated oxidative stress, systolic and diastolic dysfunction, hypotension, and bradycardia. Taurine supplementation increased myocardial taurine levels by 45% and led to reductions in mortality and improved cardiac function, heart rate, and blood pressure in iron-overloaded mice. Histological examination of the myocardium revealed reduced apoptosis and interstitial fibrosis in iron-overloaded mice supplemented with taurine. Taurine mediated reduced oxidative stress in iron-overloaded mice along with attenuation of myocardial lipid peroxidation and protection of reduced glutathione level. CONCLUSIONS: These results demonstrate that treatment with taurine reduces iron-mediated myocardial oxidative stress, preserves cardiovascular function, and improves survival in iron-overloaded mice. The role of taurine in protecting reduced glutathione levels provides an important mechanism by which oxidative stress-induced myocardial damage can be curtailed. Taurine, as a dietary supplement, represents a potential new therapeutic agent to reduce the cardiovascular burden from iron-overload conditions.
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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 | 0.000 |
| 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) | 0.001 | 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 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".