Evidence of myofibrillar protein oxidation induced by postischemic reperfusion in isolated rat hearts
Bibliographic record
Abstract
Although the contribution of reactive oxygen species to myocardial ischemia is well recognized, the possible intracellular targets, especially at the level of myofibrillar proteins (MP), are not yet fully characterized. To assess the maximal extent of oxidative degradation of proteins, isolated rat hearts were perfused with 1 mM H(2)O(2). Subsequently, the MP maximally oxidative damage was compared with the effects produced by 1) 30 min of no-flow ischemia (I) followed in other hearts by 3 min of reperfusion (I/R); and 2) I/R in the presence of a potent antioxidant N-(2-mercaptopropionyl)glycine (MPG). Samples from the H(2)O(2) group electrophoresed under nonreducing conditions and probed with actin, desmin, or tropomyosin monoclonal antibodies showed high-molecular mass complexes indicative of disulfide cross-bridges along with splitting and thickening of tropomyosin and actin bands, respectively. Only these latter changes could be detected in I/R samples and were prevented by MPG. Carbonyl groups generated by oxidative stress on MP were detected by Western blot analysis (oxyblot) under optimized conditions. The analyses showed one major band corresponding to oxidized actin, the density of which increased 1.2-, 2.8-, and 6.8-fold in I, I/R, and H(2)O(2) groups, respectively. The I/R-induced increase was significantly reduced by MPG. In conclusion, oxidative damage of MP occurs on reperfusion, although at a lower extent than in H(2)O(2) perfused hearts, whereas oxidative modifications could not be detected in ischemic hearts. Furthermore, the inhibition of MP oxidation by MPG might underlie the protective efficacy of antioxidants.
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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 | 0.001 | 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) | 0.002 | 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".