Carnosol increases skeletal muscle cell glucose uptake via AMPK‐dependent GLUT 4 glucose transporter translocation
Bibliographic record
Abstract
Skeletal muscle is highly important in glucose homeostasis since it is quantitatively a major insulin‐target tissue. Insulin action in muscle cells activates the phosphatidylinositol‐3 kinase (PI3K)/Akt signaling pathway causing the translocation of intracellularly stored GLUT4 glucose transporters to the plasma membrane leading to increased glucose uptake. Impaired insulin action in muscle leads to insulin resistance and type 2 diabetes mellitus (T2DM). AMP‐activated kinase (AMPK) is a cellular energy sensor and its activation increases glucose uptake by skeletal muscle cells. Finding AMPK activators is viewed as an effective approach to combat insulin resistance and T2DM. Rosemary extract (RE) has been shown to increase muscle glucose uptake and AMPK activity but the components responsible for these effects have not been identified yet. In the current study, we investigated the effect of carnosol, a polyphenol found in high concentrations in RE. L6 rat muscle cells were used to measure uptake of [ 3 H]‐2‐deoxy‐D‐glucose and the signaling molecules involved were investigated by immunoblotting. Carnosol stimulated glucose uptake in L6 myotubes in a dose‐ and time‐dependent manner. A response comparable to maximum insulin stimulation (196±9.2 % of control) was seen with 50μM of carnosol (2h) (182±7.8 % of control). Carnosol did not affect Akt phosphorylation while it significantly increased AMPK phosphorylation. Furthermore, the increase in glucose uptake in the presence of carnosol was significantly reduced by the AMPK inhibitor compound C (CC) while it was not affected by the PI3K inhibitor wortmannin. Carnosol increased plasma membrane GLUT4 glucose transporter levels in GLUT4myc overexpressing L6 cells and this response was abolished by the AMPK inhibitor CC. Our study is the first to show a significant increase in muscle glucose uptake by carnosol via a mechanism that involves AMPK. Support or Funding Information Supported by a Natural Sciences and Engineering Research Council of Canada (NSERC) grant to ET. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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".