Glucagon-like peptide-1 inhibits voltage-gated potassium currents in mouse nodose ganglion neurons
Bibliographic record
Abstract
BACKGROUND: Glucagon-like peptide-1 (GLP-1) is a major hormone known to regulate glucose homeostasis and gut function, and is an important satiety mediator. These actions are at least in part mediated via an action on vagal afferent neurons. However, the mechanism by which GLP-1 activates vagal afferents remains unknown. We hypothesized that GLP-1 acts on nodose ganglion neuron voltage-gated potassium (KV) channels, increasing membrane excitability. METHODS: Employing perforated patch clamp recordings we examined the effects of GLP-1 on membrane properties as well as voltage-gated potassium currents. Extracellular recordings of jejunal afferents were performed to demonstrate the functional relevance of these effects at the nerve terminal. KEY RESULTS: Glucagon-like peptide-1 depolarized a subpopulation of nodose neurons. This membrane depolarization was used to identify neurons containing functional GLP-1 receptors. In these neurons, GLP-1 decreased rheobase and broadened the action potential, and increased the number of action potentials elicited at twice rheobase. We identified a GLP-1 sensitive current whose reversal potential shifted in a depolarizing direction when extracellular potassium was increased. We identified two macroscopic K currents, IA, an inactivating current and IK a sustained current. GLP-1 caused inhibition of these currents, IK by 45%, P < 0.05 and IA currents by 52%P < 0.01, associated with a hyperpolarizing shift of steady-state inactivation curves for both currents. In extracellular recordings of jejunal afferents, GLP-1 increased firing rate, the effect blocked by the K(+) channel antagonist 4-AP. CONCLUSIONS & INFERENCES: These experiments indicate that GLP-1 receptor activation results in vagal afferent excitation, due at least in part to inhibition of sustained and inactivating potassium currents. This mechanism may be important in satiety and glucose homeostatic signals arising from the gastrointestinal tract.
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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) | 0.001 | 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) | 0.000 | 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".