Preconditioning in the absence or presence of sustained ischemia modulates myocardial Cx43 protein levels and gap junction distribution
Bibliographic record
Abstract
In the heart, brief repeated episodes of ischemia prior to a sustained occlusion (ischemic preconditioning; PC) significantly delay the onset of necrosis and arrhythmogenesis. Ischemia has been reported to influence gap junction organization and connexin43 (Cx43) content, but whether PC affects these structures is not known. We investigated the effect of PC (2 cycles of 5-min ischemia plus 10-min reperfusion) followed by prolonged reperfusion without concomitant regional coronary occlusion on the myocardial Cx43 content and its spatial distribution in rabbit hearts. We also compared the effect of sustained ischemia with or without PC on Cx43 spatial distribution. In experiments with PC only, there was an initial decrease in Cx43 levels within the ischemic zone followed by a progressive increase after 48 h reperfusion. Endtoend immunolabeling of Cx43 was augmented in the ischemic region between 24 and 48 h reperfusion; labeling was not uniquely confined to myocyte abutments, but was also dispersed along the sarcolemma. Cx43 immunolabelling was more intense and diffuse in hearts subjected to PC before sustained coronary occlusion (compared to non-PC). These data indicate that gap junctions are significantly altered during brief episodes of ischemia. Reorganization of the gap junction complex could contribute to PC-mediated reductions in cardiac arrhythmias.Key words: ischemic preconditioning, connexin43, gap junction, reperfusion, 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) | 0.002 | 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".