Pharmacological preconditioning in rabbit myocardium is blocked by chloride channel inhibition
Bibliographic record
Abstract
OBJECTIVES: We have recently proposed that chloride (Cl(-)) channels contribute to ischemic preconditioning (IPC) in the myocardium. To further evaluate this hypothesis, we investigated the role of Cl(-) channels in pharmacological preconditioning. METHODS: Isolated rabbit cardiomyocytes and isolated buffer-perfused rabbit hearts were initially preconditioned with a 10 min exposure to either an adenosine receptor agonist [2-chloro-N(6)-cyclopentyladenosine (CCPA, 200 nM) and/or N(6)-2-(4-aminophenyl)ethyladenosine (APNEA, 1 microM)] or the PKC activator phorbol 12-myristate 13-acetate (PMA, 1 microM) followed by a 10 or 20 min washout or not preconditioned (control). Cardiomyocytes or whole hearts were then subjected to prolonged ischemic period (45 min simulated ischemia or 40 min of regional myocardial ischemia, respectively) followed by 60 min reperfusion (resuspension in oxygenated medium or release of the transient coronary occlusion, respectively). RESULTS: Indanyloxyacetic acid 94, a selective Cl(-) channel inhibitor that produced substantial inhibition of the regulatory volume decrease (RVD) when given at 10 microM concentration in cultured cardiomyocytes, was administered before ischemia to block RVD through Cl(-) channel inhibition. CCPA, APNEA and PMA significantly (P<0.01) reduced the % of dead cardiomyocytes (by trypan blue staining) after 45 min SI/60 min SR, as compared to controls, while IAA-94 abolished this protection but did not affect PKCepsilon translocation by IPC. We confirmed that IAA-94 blocked IPC-, APNEA- and PMA-induced protection against infarction in the isolated heart model. CONCLUSIONS: These findings support our contention that Cl(-) channels are downstream effectors of IPC.
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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) | 0.001 | 0.001 |
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".