Interactions between the consumption of a high-fat diet and fasting in the regulation of fatty acid oxidation enzyme gene expression: an evaluation of potential mechanisms
Bibliographic record
Abstract
The consumption of high-fat diets (HFDs) and fasting are known to increase the expression of enzymes involved in fatty acid oxidation (FAO). However, it has been reported that the ability of physiological stressors to induce enzymes of FAO in skeletal muscle is blunted with obesity. In this regard, we sought to explore the effects and potential mechanisms of an HFD on the expression of FAO enzymes in the fed and fasted state. The consumption of an HFD increased the mRNA expression or protein content of medium-chain acyl-CoA dehydrogenase (MCAD), uncoupling protein-3 (UCP3), and pyruvate dehydrogenase kinase 4 (PDK4) in the fed state. Fasting increased the mRNA expression of PDK4, MCAD, and UCP-3, and the protein content of UCP-3 in chow but not HFD rats. HFDs did not increase carnitine palmitoyl transfer-1 (CPT-1) mRNA levels in the fed state and the effects of fasting were markedly reduced compared with chow-fed rats. The expression of peroxisome-proliferator-activated receptor-γ coactivator-1β (PGC-1β) was increased in muscle from HFD rats in the fed state, while PGC-1-related coactivator (PRC) was increased with fasting in chow-fed but not HFD rats. Plasma fatty acid levels were elevated in the fed state from HFD rats but not increased further with fasting, whereas fasting increased plasma fatty acids in chow-fed animals. Fasting-mediated increases in plasma epinephrine, and the activation of PKA and AMPK in skeletal muscle were similar between chow and HFD rats. p38 MAPK phosphorylation was increased with fasting in chow-fed but not HFD rats. Our findings suggest that a blunted effect of fasting on the induction of PDK4, MCAD, and UCP3 in skeletal muscle from HFD rats is likely a result of already elevated levels of these enzymes, the induction of which is associated with increases in plasma fatty acid and PGC-1β. On the other hand, a blunted induction of PRC and CPT-1 mRNA may be explained by decreases in p38 MAPK signaling.
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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) | 0.000 | 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 | 0.001 |
| 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".