Remote Ischemic Preconditioning of the Recipient Reduces Myocardial Ischemia-Reperfusion Injury of the Denervated Donor Heart via a Katp Channel-Dependent Mechanism
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Bibliographic record
Abstract
BACKGROUND: We assess whether remote ischemic preconditioning (rIPC) of the recipient can modify ischemia-reperfusion (IR) injury in the donor heart following orthotopic heart transplantation from brain dead donors and to examine potential mechanisms of protection. METHODS: Sixteen pigs weighing from 26 to 34.2 (mean 29.2) kg, randomized to control group (n=5), ischemic preconditioning (rIPC) group (n=6), and to receive rIPC with prior glibenclamide administration (Glib + rIPC) group (n=5) underwent orthotopic heart transplantation with the support of hypothermic (32 degrees C) cardiopulmonary bypass (CPB). The hearts were harvested from donor animal rendered brain dead by balloon compression via a craniotomy. Preconditioning of the recipients was induced by four 5-min cycles of lower limb ischemia. Myocardial infarction (MI) was induced following heart transplantation by 30 min of left anterior descending (LAD) artery occlusion following by 2 hr of regional reperfusion. The extent of myocardial infarction was assessed by triphenyltetrazolium (TTC) staining. RESULTS: Preconditioning of the recipient reduced the mass of MI (6.75+/-6.3 g in rIPC vs. 18.1+/-5.8 g in control, P=0.01), MI to area at risk (ARR) mass ratio by 57% (15.6%+/-15.2% vs. 36.3%+/-13.4%, P=0.04). The protective effect of preconditioning was abolished by pretreatment with glibenclamide. CONCLUSIONS: Remote ischemic preconditioning of the recipient, decreases ischemia-reperfusion injury in the brain dead donor heart following orthotopic heart transplantation via a Katp channel-dependent mechanism. This study suggests that a circulating effector persists after the rIPC stimulus is applied, and excludes an ongoing afferent neurogenic mechanism of cardioprotection.
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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 it