Insulin Regulates Islet α-Cell Function by Reducing KATP Channel Sensitivity to Adenosine 5′-Triphosphate Inhibition
Bibliographic record
Abstract
Glucose regulates pancreatic islet alpha-cell glucagon secretion directly by its metabolism to generate ATP in alpha-cells, and indirectly via stimulation of paracrine release of beta-cell secretory products, particularly insulin. How the cellular substrates of these pathways converge in the alpha-cell is not well known. We recently reported the use of the MIP-GFP (mouse insulin promoter-green fluorescent protein) mouse to reliably identify islet alpha- (non-green cells) and beta-cells (green cells), and characterized their ATP-sensitive K(+) (K(ATP)) channel properties, showing that alpha-cell K(ATP) channels exhibited a 5-fold higher sensitivity to ATP inhibition than beta-cell K(ATP) channels. Here, we show that insulin exerted paracrine regulation of alpha-cells by markedly reducing the sensitivity of alpha-cell K(ATP) channels to ATP (IC(50) = 0.18 and 0.50 mM in absence and presence of insulin, respectively). Insulin also desensitized beta-cell K(ATP) channels to ATP inhibition (IC(50) = 0.84 and 1.23 mM in absence and presence of insulin, respectively). Insulin effects on both islet cell K(ATP) channels were blocked by wortmannin, indicating that insulin acted on the insulin receptor-phosphatidylinositol 3-kinase signaling pathway. Insulin did not affect alpha-cell A-type K(+) currents. Glutamate, known to also inhibit alpha-cell glucagon secretion, did not activate alpha-cell K(ATP) channel opening. We conclude that a major mechanism by which insulin exerts paracrine control on alpha-cells is by modulating its K(ATP) channel sensitivity to ATP block. This may be an underlying basis for the proposed sequential glucose-insulin regulation of alpha-cell glucagon secretion, which becomes distorted in diabetes, leading to dysregulated glucagon secretion.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".