Glucagon-Like Peptide-1 Inhibits Pancreatic ATP-Sensitive Potassium Channels via a Protein Kinase A- and ADP-Dependent Mechanism
Bibliographic record
Abstract
Glucagon-like peptide-1 (GLP-1) elicits a glucose-dependent insulin secretory effect via elevation of cAMP and activation of protein kinase A (PKA). GLP-1-mediated closure of ATP-sensitive potassium (K(ATP)) channels is involved in this process, although the mechanism of action of PKA on the K(ATP) channels is not fully understood. K(ATP) channel currents and membrane potentials were measured from insulin-secreting INS-1 cells and recombinant beta-cell K(ATP) channels. 20 nM GLP-1 depolarized INS-1 cells significantly by 6.68 +/- 1.29 mV. GLP-1 reduced recombinant K(ATP) channel currents by 54.1 +/- 6.9% in mammalian cells coexpressing SUR1, Kir6.2, and GLP-1 receptor clones. In the presence of 0.2 mM ATP, the catalytic subunit of PKA (cPKA, 20 nM) had no effect on SUR1/Kir6.2 activity in inside-out patches. However, the stimulatory effects of 0.2 mM ADP on SUR1/Kir6.2 currents were reduced by 26.7 +/- 2.9% (P < 0.05) in the presence of cPKA. cPKA increased SUR1/Kir6.2 currents by 201.2 +/- 20.8% (P < 0.05) with 0.5 mM ADP present. The point mutation S1448A in the ADP-sensing region of SUR1 removed the modulatory effects of cPKA. Our results indicate that PKA-mediated phosphorylation of S1448 in the SUR1 subunit leads to K(ATP) channel closure via an ADP-dependent mechanism. The marked alteration of the PKA-mediated effects at different ADP levels may provide a cellular mechanism for the glucose-sensitivity of GLP-1.
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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".