Beneficial Effects of N-acetylcysteine and N-mercaptopropionylglycine on Ischemia Reperfusion Injury in the Heart
Bibliographic record
Abstract
BACKGROUND: Ischemia-reperfusion (I/R) injury of the heart as a consequence of myocardial infarction or cardiac surgery represents a serious clinical problem. One of the most prominent mechanisms of I/R injury is the development of oxidative stress in the heart. In this regard, I/R has been shown to enhance the production of reactive oxygen/nitrogen species in the heart which lead to the imbalance between the pro-oxidants and antioxidant capacities of the endogenous radical-scavenging systems. OBJECTIVES: Increasing the antioxidant capacity of the heart by the administration of exogenous antioxidants is considered beneficial for the heart exposed to I/R. N-acetylcysteine (NAC) and Nmercaptopropionylglycine (MPG) are two sulphur containing amino acid substances, which belong to the broad category of exogenous antioxidants that have been tested for their protective potential in cardiac I/R injury. OBSERVATIONS: Pretreatment of hearts with both NAC and MPG has demonstrated that these agents attenuate the I/R-induced alterations in sarcolemma, sarcoplasmic reticulum, mitochondria and myofibrils in addition to improving cardiac function. While experimental studies have revealed promising data suggesting beneficial effects of NAC and MPG in cardiac I/R injury, the results of clinical trials are not conclusive because both positive and no effects of these substances have been reported on the post-ischemic recovery of heart following cardiac surgery or myocardial infarction. CONCLUSION: It is concluded that both NAC and MPG exert beneficial effects in preventing the I/Rinduced injury; however, further studies are needed to establish their effectiveness in reversing the I/R-induced abnormalities in the heart.
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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 | 0.000 |
| 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".