M <sub>3</sub> -muscarinic receptor promotes insulin release via receptor phosphorylation/arrestin-dependent activation of protein kinase D1
Bibliographic record
Abstract
The activity of G protein-coupled receptors is regulated via hyper-phosphorylation following agonist stimulation. Despite the universal nature of this regulatory process, the physiological impact of receptor phosphorylation remains poorly studied. To address this question, we have generated a knock-in mouse strain that expresses a phosphorylation-deficient mutant of the M(3)-muscarinic receptor, a prototypical G(q/11)-coupled receptor. This mutant mouse strain was used here to investigate the role of M(3)-muscarinic receptor phosphorylation in the regulation of insulin secretion from pancreatic islets. Importantly, the phosphorylation deficient receptor coupled to G(q/11)-signaling pathways but was uncoupled from phosphorylation-dependent processes, such as receptor internalization and β-arrestin recruitment. The knock-in mice showed impaired glucose tolerance and insulin secretion, indicating that M(3)-muscarinic receptors expressed on pancreatic islets regulate glucose homeostasis via receptor phosphorylation-/arrestin-dependent signaling. The mechanism centers on the activation of protein kinase D1, which operates downstream of the recruitment of β-arrestin to the phosphorylated M(3)-muscarinic receptor. In conclusion, our findings support the unique concept that M(3)-muscarinic receptor-mediated augmentation of sustained insulin release is largely independent of G protein-coupling but involves phosphorylation-/arrestin-dependent coupling of the receptor to protein kinase D1.
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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 | 0.001 |
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".