The role of AMPK in controlling metabolism and mitochondrial biogenesis during exercise
Why this work is in the frame
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Bibliographic record
Abstract
New Findings What is the topic of this review? The topic of this review is the metabolic effects of AMP‐activated protein kinase (AMPK) on glucose and fatty acid (FA) uptake, FA oxidation and mitochondrial biogenesis in skeletal muscle at rest and during exercise/muscle contractions. What advances does it highlight? This review describes recent studies examining the molecular mechanisms by which AMPK regulates muscle metabolism. It specifically discusses the role of exercise on acetyl‐CoA carboxylase and malonyl‐CoA in the regulation of FA oxidation. It also discusses the role of AMPK in regulating glucose and FA uptake during exercise. Finally, the review describes the interaction between AMPK, peroxisome proliferator‐activated receptor γ co‐activator‐1α and sirtuin 1 in controlling mitochondrial biogenesis. Insulin resistance is associated with defects in skeletal muscle fatty acid (FA) metabolism that contribute to the development of type 2 diabetes. Endurance exercise increases FA and glucose metabolism, muscle mitochondrial content and insulin sensitivity. In skeletal muscle, basal rates of FA oxidation are dependent on AMP‐activated protein kinase (AMPK) phosphorylation of acetyl‐CoA carboxylase 2, the rate‐limiting enzyme controlling the production of the metabolic intermediate malonyl‐CoA. Likewise, AMPK is essential for maintaining muscle mitochondrial content in untrained mice; effects that may be mediated through regulation of the peroxisome proliferator‐activated receptor γ co‐activator‐1α. However, the importance of AMPK in regulating glucose and FA uptake, FA oxidation and mitochondrial biogenesis during and following endurance exercise training is not fully understood. A better understanding of the mechanisms by which endurance exercise regulates substrate utilization and mitochondrial biogenesis may lead to improved therapeutic and preventative strategies for the treatment of insulin resistance and type 2 diabetes.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it