The role of K<sup>+</sup><sub>ATP</sub> channels in the control of pre- and post-ischemic left ventricular developed pressure in septic rat hearts
Bibliographic record
Abstract
Myocardial function is impaired 24 h after the induction of sepsis, however, recovery of left ventricular (LV) function after 35 min of global ischemia is complete. The mechanisms by which this protection occurs are unknown. Ischemic preconditioning, another form of myocardial protection from ischemia/reperfusion (I/R) injury, has been shown to be modulated by ATP-sensitive potassium (K+ATP) channels. To investigate the role of K+ATP channels in the regulation of coronary flow (CF) and protection from I/R injury in septic rat hearts, we assessed the effects of the K+ATP channel antagonist glibenclamide (GLIB) and the agonist cromakalim (CROM) on pre- and post-ischemic CF and left ventricular developed pressure (LVDP). Although GLIB decreased pre-ischemic CF in both control and septic rat hearts, LVDP was unaffected. After I/R, CF was decreased in GLIB-treated control and septic rat hearts and LVDP was more severely depressed in control rat hearts than in septic rat hearts. CROM increased pre-ischemic CF in the septic group although LVDP was unaltered in both groups. After I/R, control rat heart CF was depressed but LVDP completely recovered. Post-ischemic CF in septic rat hearts was elevated compared with vehicle-treated septic rat hearts, but the recovery of LVDP was not improved. These results suggest that K+ATP channels modulate CF in septic rat hearts, but do not mediate cardioprotection as observed in control rat hearts.
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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 | 0.001 |
| 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".