Sustained activation of insulin receptors internalized in GLUT4 vesicles of insulin-stimulated skeletal muscle.
Bibliographic record
Abstract
Exposure of target cells to insulin results in the formation of ligand receptor complexes on the cell surface and their subsequent internalization into the endosomal apparatus. A current view is that endocytosis of the insulin receptor (IR) kinase results in its rapid deactivation and sorting of the IR back to the cell surface or to late endocytic compartments. We report herein that, in skeletal muscle, in vivo stimulation with insulin induced a rapid internalization of the IR to an insulin-sensitive GLUT4-enriched intracellular membrane fraction. After 30 min of stimulation, IR content and tyrosine phosphorylation were increased by three and nine times in that fraction, respectively, compared with unstimulated muscles. In vitro autophosphorylation assays revealed that the kinase activity of internalized IRs was markedly augmented (eight to nine times) by insulin. In marked contrast with hepatic endosomes or adipocyte low-density microsomes, no IR tyrosine dephosphorylation activity was observed in GLUT4-enriched vesicles isolated from skeletal muscle. The activated IR was recovered in immunopurified GLUT4 vesicles after insulin stimulation. Insulin also increased tyrosine-phosphorylated insulin receptor substrate 1 and phosphatidylinositol 3-kinase adapter (p85) subunit contents in the intracellular membrane fraction, but these signaling molecules were not directly associated with GLUT4 vesicles. These results show that, in skeletal muscle, the activated IR reaches a GLUT4-enriched compartment where its activity is apparently sustained. We propose that compartmentalization of activated IRs to GLUT4 vesicles may play a role in sustaining insulin signaling at this locus in skeletal muscle.
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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 | 0.000 |
| 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".