Role of tumour necrosis factor-alpha and other cytokines in ischemia-reperfusion-induced injury in the heart.
Bibliographic record
Abstract
BACKGROUND: Several investigations have implicated cytokines such as tumour necrosis factor-alpha (TNF-alpha), interleukin (IL)-1, IL-6, IL-8 and transforming growth factor-beta in the pathophysiology of cellular dysfunction in ischemia-reperfusion (I/R). Although an increase in the production of these cytokines has been detected after myocardial infarction and cardiopulmonary bypass surgery, their exact role and mechanisms for inducing cardiac dysfunction are poorly understood. OBSERVATIONS: TNF-alpha, transforming growth factor-beta, IL-1, IL-6 and IL-8 have frequently been studied in different cardiovascular diseases, including I/R injury in the heart. Low concentrations of TNF-alpha appear to exert cardioprotective effects, whereas high concentrations have been shown to produce deleterious actions in the heart. Some efforts have been made to explore the molecular mechanisms of cytokine actions; however, such information is insufficient to develop therapeutic strategies to combat their deleterious effects during the development of I/R injury in the heart. CONCLUSIONS: In addition to a time-dependent response, the conflicting effects of cytokines seem to depend on their concentrations used in different experimental studies. It is also likely that both the beneficial and pathophysiological actions of cytokines occur concomitantly. On the basis of the existing literature, it is suggested that different ways need to be found to modify the synthesis as well as the cardiodepressant actions of cytokines to improve the therapy of ischemic heart disease.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".