Globular adiponectin induces LKB1/AMPK-dependent glucose uptake via actin cytoskeleton remodeling
Bibliographic record
Abstract
Previous studies have shown that many metabolic actions of adiponectin are mediated via the activation of AMP kinase and that adiponectin stimulates GLUT4 translocation and glucose uptake in the muscle. In this study, we demonstrate that adiponectin stimulates actin cytoskeleton remodeling, with increased phosphorylation of cofilin, and that blocking of cytoskeletal remodeling with cytochalasin D prevents adiponectin-stimulated AMPK phosphorylation in L6 myoblasts. LKB1 is an upstream kinase of AMPK, and we observed the colocalization of LKB1 with filamentous actin in response to adiponectin. Adiponectin-stimulated translocation of LKB1 from a nuclear to a cytoplasmic location to activate AMPK was also dependent on actin cytoskeleton remodeling. Cytoskeletal remodeling visualized by rhodamine-phalloidin immunofluorescence indicated that adiponectin-stimulated reorganization resulted in the formation membrane ruffles, which were also clearly visible by scanning electron microscopy in L6-GLUT4(myc) myoblasts. The stimulation of glucose uptake, but not of GLUT4-myc translocation to the cell surface, by adiponectin was also dependent on actin cytoskeleton remodeling. These results suggest that actin remodeling induced by adiponectin is essential for mediating LKB1/AMPK signaling and glucose uptake in skeletal muscle cells.
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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) | 0.000 | 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".