Protein-mediated fatty acid uptake: regulation by contraction, AMP-activated protein kinase, and endocrine signals
Bibliographic record
Abstract
Fatty acid transport into heart and skeletal muscle occurs largely through a highly regulated protein-mediated mechanism involving a number of fatty acid transporters. Chronically altered muscle activity (chronic muscle stimulation, denervation) alters fatty acid transport by altering the expression of fatty acid transporters and (or) their subcellular location. Chronic exposure to leptin downregulates while insulin upregulates fatty acid transport by altering concomitantly the expression of fatty acid transporters. Fatty acid transport can also be regulated within minutes, by muscle contraction, AMP-activated protein kinase activation, leptin, and insulin, through induction of the translocation of fatty acid translocase (FAT)/CD36 from its intracellular depot to the plasma membrane. In insulin-resistant muscle, a permanent relocation of FAT/CD36 to the sarcolemma appears to account for the excess accretion of intracellular lipids that interfere with insulin signaling. Recent work has also shown that FAT/ CD36, but not plasma membrane associated fatty acid binding protein, is involved, along with carnitine palmitoyltransferase, in regulating mitochondrial fatty acid oxidation. Finally, studies in FAT/CD36 null mice indicate that this transporter has a key role in regulating fatty acid metabolism in muscle.
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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) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.005 |
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".