Preconditioning reduces myocardial complement gene expression in vivo
Bibliographic record
Abstract
This investigation examined the effect of preconditioning in an in vivo model of ischemia-reperfusion injury. Anesthetized New Zealand White rabbits underwent 30 min of regional myocardial ischemia followed by 2 h of reperfusion. Hearts preconditioned with two cycles of 5 min ischemia-10 min reperfusion (IPC) or with the ATP-sensitive K (K(ATP)) channel opener, diazoxide (10 mg/kg), exhibited significantly (P < 0.05) smaller infarcts compared with control. These treatments also significantly (P < 0.001 to P < 0.05) reduced C1q, C1r, C3, C8, and C9 mRNA in the areas at risk (AAR). The K(ATP) channel blocker 5-hydroxydecanoate (5-HD; 10 mg/kg) attenuated infarct size reduction elicited by IPC and diazoxide treatment. 5-HD partially reversed the decrease in complement expression caused by IPC but not diazoxide. There were no significant differences in complement gene expression in the nonrisk regions and livers of all groups. Western blot analysis revealed that IPC also reduced membrane attack complex expression in the AAR. The data demonstrate that preconditioning significantly decreases reperfusion-induced myocardial complement expression in vivo.
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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) | 0.001 | 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 | 0.001 |
| 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".