p38 mitogen-activated protein kinase mediates adenosine-induced alterations in myocardial glucose utilization via 5′-AMP-activated protein kinase
Bibliographic record
Abstract
Adenosine-induced acceleration of glycolysis in hearts stressed by transient ischemia is accompanied by suppression of glycogen synthesis and by increases in activity of adenosine 5'-monophosphate-activated protein kinase (AMPK). Because p38 mitogen-activated protein kinase (MAPK) may regulate glucose metabolism and may be activated downstream of AMPK, this study determined the effects of the p38 MAPK inhibitors SB202190 and SB203580 on adenosine-induced alterations in glucose utilization and AMPK activity. Studies were performed in working rat hearts perfused aerobically following stressing by transient ischemia (2 x 10-min ischemia followed by 5-min reperfusion). Phosphorylation of AMPK and p38 MAPK each were increased fourfold by adenosine, and these effects were inhibited by either SB202190 or SB203580. Neither of these inhibitors directly affected AMPK activity. Attenuation of the adenosine-induced increase in AMPK and p38 MAPK phosphorylation by SB202190 and SB203580 occurred independently of any change in tissue ATP-to-AMP ratio and did not alter glucose uptake, but it was accompanied by an increase in glycogen synthesis and glycogen content and by inhibition of glycolysis and proton production. There was a significant inverse correlation between the rate of glycogen synthesis and AMPK activity and between AMPK activity and glycogen content. These data demonstrate that AMPK is likely downstream of p38 MAPK in mediating the effects of adenosine on glucose utilization in hearts stressed by transient ischemia. The ability of p38 MAPK inhibitors to relieve the inhibition of glycogen synthesis and to inhibit glycolysis and proton production suggests that these agents may restore adenosine-induced cardioprotection in stressed 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) | 0.001 | 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) | 0.002 | 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".