Cardioprotective effects of l-glutamine in an ischemic rat heart model
Bibliographic record
Abstract
Introduction l -glutamine has been shown to have cardioprotective effects in models of ischemia-reperfusion injury. Its potential cardioprotective effects when given before and during early reperfusion , however, have not been studied. Methods This study hypothesized that l -glutamine administered before and after myocardial ischemia provides better cardioprotection than when administered after ischemia only. Eighteen male rat hearts were exposed to 15 min of ischemia using the Langendorff system and randomly assigned to three groups of six each. Group one received Krebs-Henseleit (KH) buffer over 20 min before ischemia and during 20 min of reperfusion (Control), group two received KH buffer containing 2.5 mmol･L −1 glutamine during reperfusion (Post-Gln) and group three was given KH buffer containing glutamine before and after the ischemic insult (Pre + Post-Gln). Indicators of hemodynamics such as maximum left ventricular derivative of pressure development (LV dP/dt max) were recorded at 5, 10, 15 and 20 min post-reperfusion. Myocardial levels of O-linked β- N -acetylglucosamine (O-GlcNAc) and heat shock protein 70 (HSP70) were measured by Western blotting technique after 20 min of reperfusion. Results The LV dp/dt max in the Pre + Post-Gln group was significantly elevated as compared to the Post-Gln group after 10 min of reperfusion and was significantly higher than in the control group at all-time points. Myocardial expression of O-GlcNAc was increased in the Pre + Post-Gln group ( P < 0.01 vs. control) without showing any differences in HSP70. Conclusion In this model of stunned myocardium , pre- and post-ischemic administration of l -glutamine improved cardiac function indicating cardioprotective effects, possibly mediated by O-GlcNAc.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".