Adenosine A<sub>1</sub> receptor activation reduces myocardial reperfusion effects on intrinsic cardiac nervous system
Bibliographic record
Abstract
The intrinsic cardiac nervous system is the final common integrator of regional cardiac function. The ischemic myocardium modifies this nervous system. We sought to determine the role that intrinsic cardiac neuronal P(1) purinergic receptors play in transducing myocardial ischemia and the subsequent reperfusion. The activity generated by ventricular neurons was recorded concomitant with cardiac hemodynamic variables in 44 anesthetized pigs. Regional ventricular ischemia was induced by briefly occluding (30 s) the ventral interventricular coronary artery distal to the arterial blood supply of identified ventricular neurons. Adenosine (100 microM) was administered to these neurons via their local arterial blood supply during or immediately after transient coronary artery occlusion. Occlusion was also performed following local administration of adenosine A(1) [8-cyclopentyl-1,3-dipropylxanthine (DPCPX)] or A(2) [3,7-dimethyl-1-propargylxanthine (DMPX)] receptor blocking agents. The activity generated by ventricular neurons was modified by transient coronary artery occlusion and the subsequent reperfusion (||Delta|| 112 +/- 14 and 168 +/- 34 impulses/min, respectively; P < 0.01 vs. preischemic states). Locally administered adenosine attenuated neuronal responses to reperfusion (-75%; P < 0.01 compared with normal reperfusion) but not ischemia. The neuronal stabilizing effects that adenosine elicited during reperfusion persisted in the presence of DMPX but not DPCPX. It is concluded that activation of neuronal adenosine A(1) receptors stabilizes the intrinsic cardiac nervous system during reperfusion.
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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".