Insulin Accelerates Inter-endosomal GLUT4 Traffic via Phosphatidylinositol 3-Kinase and Protein Kinase B
Bibliographic record
Abstract
Insulin enhances plasmalemmal-directed traffic of glucose transporter-4 (GLUT4), but it is unknown whether insulin regulates GLUT4 traffic through endosomal compartments. In L6 myoblasts expressing Myc-tagged GLUT4, insulin markedly stimulated the rate of GLUT4myc recycling. In myoblasts stimulated with insulin to maximize surface GLUT4myc levels, we followed the rates of surface-labeled GLUT4myc endocytosis and chased its intracellular distribution in space and time using confocal immunofluorescence microscopy. Surface-labeled GLUT4myc internalized rapidly (t(12) 3 min), reaching the early endosome by 2 min and the transferrin receptor-rich, perinuclear recycling endosome by 20 min. Upon re-addition of insulin, the t(12) of GLUT4 disappearance from the plasma membrane was unchanged (3 min), but strikingly, GLUT4myc reached the recycling endosome by 10 and left by 20 min. This effect of insulin was blocked by the phosphatidylinositol 3-kinase inhibitor LY294002 or by transiently transfected dominant-negative phosphatidylinositol 3-kinase and protein kinase B mutants. In contrast, insulin did not alter the rate of arrival of rhodamine-labeled transferrin at the recycling endosome. These results reveal a heretofore unknown effect of insulin to accelerate inter-endosomal travel rates of GLUT4 and identify the recycling endosome as an obligatory stage in insulin-dependent GLUT4 recycling.
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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) | 0.001 | 0.001 |
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".