PIKfyve: a new fish in the growing pool of AMPK substrates
Bibliographic record
Abstract
Skeletal muscle is critical for whole-body glucose homoeostasis. Insulin and muscle contractions induced by exercise can increase glucose uptake through distinct intracellular signalling pathways involving PKB (protein kinase B)/Akt and AMPK (AMP-activated protein kinase) respectively. Whereas the proximal events governing these processes are becoming well understood, less is known about the regulation of the complex events necessary for the control of glucose uptake at the plasma membrane. In recent years, a number of common targets of AMPK and PKB/Akt have emerged as important components controlling glucose uptake, but the necessary phosphorylation events required for the control of glucose uptake have remained more elusive. In the current issue of the Biochemical Journal, Liu et al. identify that PIKfyve, a phosphoinositide phosphate kinase, is required for contraction-stimulated glucose uptake. They demonstrate that AMPK directly phosphorylates PIKfyve at Ser307, the same site as PKB/Akt, and that phosphorylation is increased in response to muscle contractions. These data provide compelling evidence for a new AMPK substrate that converges with PKB/Akt signalling and may be critical for the control of glucose uptake 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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".