Curcumin protects rat heart mitochondria against anoxia–reoxygenation induced oxidative injury
Bibliographic record
Abstract
It is an important therapeutic strategy to protect mitochondria from oxidative stress, especially during ischemia-reperfusion. Curcumin is a naturally occurring phenolic compound isolated as a yellow pigment from turmeric (Curcuma longa). This compound has received much attention due to its diversity of biological and pharmacological activities. In this study, an attempt has been made to evaluate the protective effects of curcumin on rat heart mitochondrial injuries induced by in vitro anoxia-reoxygenation. It was found that curcumin added before anoxia or immediately prior to reoxygenation exhibited remarkable protective effects against anoxia-reoxygenation induced oxidative damage to mitochondria, in concentrations ranging from picomoles to micromoles, with EC50s in the nanomolar range. The protective effects include inhibition of the decrease of state 3 respiratory activity, the decrease of respiratory control ratio (RCR) and ADP:oxygen (ADP:O) ratio, as well as the increase of state 4 respiratory activity; inhibition of the decrease of the membrane fluidity; inhibition of lipoperoxidation and protein carbonylation; as well as inhibition of the enhanced release of cardiolipin (CL) and cytochrome c (Cyt c). These results demonstrate the superior antioxidative properties of curcumin, and make it a promising candidate for the prevention and (or) therapy for ischemia-reperfusion injuries and the related free radical initiated diseases.
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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) | 0.000 | 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".