The α-subunit of AMPK is essential for submaximal contraction-mediated glucose transport in skeletal muscle in vitro
Bibliographic record
Abstract
AMP-activated protein kinase (AMPK) is a key signaling protein in the regulation of skeletal muscle glucose uptake, but its role in mediating contraction-induced glucose transport is still debated. The effect of contraction on glucose transport is impaired in EDL muscle of transgenic mice expressing a kinase-dead, dominant negative form of the AMPKalpha(2) subunit (KD-AMPKalpha(2) mice). However, maximal force production is reduced in this muscle, raising the possibility that the defect in glucose transport was due to a secondary decrease in force production and not impaired AMPKalpha(2) activity. Generation of force-frequency curves revealed that muscle force production is matched between wild-type (WT) and KD-AMPKalpha(2) mice at frequencies < or =50 Hz. Moreover, AMPK activation is already maximal at 50 Hz in muscles of WT mice. When EDL muscles from WT mice were stimulated at a frequency of 50 Hz for 2 min (200-ms train, 1/s, 30 volts), contraction caused an approximately 3.5-fold activation of AMPKalpha(2) activity and an approximately 2-fold stimulation of glucose uptake. Conversely, whereas force production was similar in EDL of KD-AMPKalpha(2) animals, no effect of contraction was observed on AMPKalpha(2) activity, and glucose uptake stimulation was reduced by 50% (P < 0.01) As expected, 5-aminoimidazole-4-carboxamide-1-beta-d-ribofuranosyl 5'-monophosphate (AICAR) caused a 2.3-fold stimulation of AMPKalpha(2) activity and a 1.7-fold increase in glucose uptake in EDL from WT mice, whereas no effect was detected in muscle from KD-AMPKalpha(2) mice. These data demonstrate that AMPK activation is essential for both AICAR and submaximal contraction-induced glucose transport in skeletal muscle but that AMPK-independent mechanisms are also involved.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".