Munc13-1 Deficiency Reduces Insulin Secretion and Causes Abnormal Glucose Tolerance
Bibliographic record
Abstract
Munc13-1 is a diacylglycerol (DAG) receptor that is essential for synaptic vesicle priming. We recently showed that Munc13-1 is expressed in rodent and human islet beta-cells and that its levels are reduced in islets of type 2 diabetic humans and rat models, suggesting that Munc13-1 deficiency contributes to the abnormal insulin secretion in diabetes. To unequivocally demonstrate the role of Munc13-1 in insulin secretion, we studied heterozygous Munc13-1 knockout mice (+/-), which exhibited elevated glucose levels during intraperitoneal glucose tolerance tests with corresponding lower serum insulin levels. Munc13-1(+/-) mice exhibited normal insulin tolerance, indicating that a primary islet beta-cell secretory defect is the major cause of their hyperglycemia. Consistently, glucose-stimulated insulin secretion was reduced 50% in isolated Munc13-1(+/-) islets and was only partially rescued by phorbol ester potentiation. The corresponding alterations were minor in mice expressing one allele of a Munc13-1 mutant variant, which does not bind DAG (H567K/+). Capacitance measurements of Munc13-1(+/-) and Munc13-1(H567k/+) islet beta-cells revealed defects in granule priming, including the initial size and refilling of the releasable pools, which become accentuated by phorbol ester potentiation. We conclude that Munc13-1 plays an important role in glucose-stimulated insulin secretion and that Munc13-1 deficiency in the pancreatic islets as occurs in diabetes can reduce insulin secretion sufficient to cause abnormal glucose homeostasis.
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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".