Inhibition of PLC improves postischemic recovery in isolated rat heart
Bibliographic record
Abstract
The Ca2+-dependent PLC converts phosphatidylinositol 4,5-bisphosphate to diacylglycerol (DAG) and inositol 1,4,5-trisphosphate [Ins(1,4,5)P3]. Because these products modulate Ca2+ movements in the myocardium, PLC may also contribute to a self-perpetuating cycle that exacerbates cardiomyocyte Ca2+-overload and subsequent cardiac dysfunction in ischemia-reperfusion (I/R). Although we have reported that I/R-induced changes in PLC isozymes might contribute to cardiac dysfunction, the present study was undertaken to examine the beneficial effects of the PLC inhibitor, U-73122, as well as determining the role of Ca2+ on the I/R-induced changes in PLC isozymes. Isolated rat hearts were subjected to global ischemia 30 min, followed by 5 or 30 min of reperfusion. Pretreatment of hearts with U-73122 (0.5 microM) significantly inhibited DAG and Ins(1,4,5)P3 production in I/R and was associated with enhanced recovery of cardiac function as indicated by measurement of left ventricular (LV) end-diastolic pressure (EDP), LV diastolic pressure (LVDP), maximum rate of pressure development (+dP/dtmax), and maximum rate of LV pressure decay (-dP/dtmax). Verapamil (0.1 microM) partially prevented the increase in sarcolemmal (SL) PLC-beta1 activity in ischemia and the decrease in its activity during the reperfusion phase as well as elicited a partial protection of the depression in SL PLC-delta1 and PLC-gamma1 activities during the ischemic phase and attenuated the increase during the reperfusion period. Although these changes were associated with an improved myocardial recovery after I/R, verapamil was less effective than U-73122. Perfusion with high Ca2+ resulted in the activation of the PLC isozymes studied and was associated with a markedly increased LVEDP and reduced LVDP, +dP/dtmax, and -dP/dtmax. These results suggest that inhibition of PLC improves myocardial recovery after I/R.
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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) | 0.001 | 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) | 0.002 | 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".