Clathrin‐Dependent and Independent Endocytosis of Glucose Transporter 4 (GLUT4) in Myoblasts: Regulation by Mitochondrial Uncoupling
Bibliographic record
Abstract
In myocytes and adipocytes, insulin increases glucose transporter 4 (GLUT4) exocytosis by promoting GLUT4 vesicle docking/fusion with the membrane. Less is known about the mechanism and regulation of GLUT4 endocytosis, particularly in myocytes. Here, we show that GLUT4 internalization in L6 myoblasts was inhibited in part by hypertonicity or clathrin heavy chain knockdown and in part by cholesterol depletion. Both strategies had additive effects, abolishing GLUT4 endocytosis. GLUT4 internalization was abrogated by expressing dominant-negative dynamin-2 but unaffected by inhibiting caveolar-dependent endocytosis through syntaxin-6 knockdown or caveolin mutants (which reduced lactosylceramide endocytosis). Insulin did not affect GLUT4 internalization rate or sensitivity to clathrin or cholesterol depletion. In contrast, the mitochondrial uncoupler dinitrophenol (DNP), which like insulin increases surface GLUT4, reduced GLUT4 (but not transferrin) internalization, an effect additive to that of depleting clathrin but not cholesterol. Trout GLUT4 (a natural variant of GLUT4 bearing different endocytic motifs) exogenously expressed in mammalian L6 cells internalized only through the cholesterol-dependent route that also included the non-clathrin-dependent cargo interleukin-2 receptor beta, and DNP reduced internalization of both proteins. These results suggest that in muscle cells, GLUT4 internalizes simultaneously through clathrin-mediated endocytosis and a caveolae-independent but cholesterol- and dynamin-dependent route. Manipulating GLUT4 endocytosis to maintain surface GLUT4 may bypass insulin resistance.
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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 | 0.000 |
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".