Rab8A and Rab13 are activated by insulin and regulate GLUT4 translocation in muscle cells
Why this work is in the frame
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Bibliographic record
Abstract
Skeletal muscle is the primary site of dietary glucose disposal, a function that depends on insulin-mediated exocytosis of GLUT4 vesicles to its cell surface. In skeletal muscle and adipocytes, this response involves Akt signaling to the Rab-GAP (GTPase-activating protein) AS160/TBC1D4. Intriguingly, the AS160-targeted Rabs appear to differ, with Rab8A participating in GLUT4 exocytosis in muscle cells and Rab10 in adipocytes, and their activation by insulin is unknown. Rabs 8A, 10, and 13 belong to the same subfamily of Rab-GTPases. Here we show that insulin promotes GTP loading of Rab13 and Rab8A but not Rab10 in rat L6 muscle cells, Rab8A activation preceding that of Rab13. siRNA-mediated Rab13 knockdown blocked the insulin-induced increase of GLUT4 at the muscle cell surface that was rescued by a Rab13 ortholog but not by Rab8A. Constitutively active AS160 lowered basal and insulin-stimulated levels of surface GLUT4, effects that were reversed by overexpressing Rab8A or Rab13, suggesting that both Rabs are targets of AS160-GAP activity in the context of GLUT4 traffic. Rab13 had a broader intracellular distribution compared with the perinuclear restriction of Rab8A, and insulin promoted Rab13 colocalization with GLUT4 at the cell periphery. We conclude that Rab13 and Rab8A are Rab-GTPases activated by insulin, and that downstream of AS160 they regulate traffic of GLUT4 vesicles, possibly acting at distinct steps and sites. These findings close in on the series of events regulating muscle GLUT4 traffic in response to insulin, crucial for whole-body glucose homeostasis.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it