Regulatory mechanisms in the interaction between carbohydrate and lipid oxidation during exercise
Bibliographic record
Abstract
At the onset of exercise, signals from inside and outside the muscle cell increase the availability of carbohydrate (CHO) and fat to provide the fuel required for ATP production. CHO and fat oxidation are the dominant sources of aerobic ATP production and both pathways must be heavily upregulated during exercise to meet the increased energy demand. Within this paradigm, there is room for shifts between the proportion of energy that is provided from CHO and fat. It has long been known that increasing the availability of endogenous or exogenous CHO can increase the oxidation of CHO and decrease the oxidation of fat. The opposite is also true. While descriptive studies documenting these changes are numerous, the mechanisms regulating these shifts in fuel use in the face of constant energy demand have not been thoroughly elucidated. It would be expected, for example, that any fat-induced shift in CHO metabolism would target the enzymes that play key roles in regulating CHO metabolism and oxidation. Inside the muscle these could include glucose uptake (GLUT4) and phosphorylation (hexokinase), glycogenolysis (glycogen phosphorylase), glycolysis (phosphofructokinase) and conversion to acetyl CoA (pyruvate dehydrogenase). The same would be expected for a CHO-induced down regulation of fat metabolism and oxidation and might target transport of long chain fatty acids into the cell (fatty acid translocase CD36), release of fatty acids from intramuscular triacylglycerol (hormone sensitive lipase) and transport into the mitochondria (carnitine palmitoyl transferase complex). This review summarizes the work describing the interaction between CHO and fat metabolism in human skeletal muscle during exercise and presents the theories that may account for CHO/fat interaction during exercise.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".