Imeglimin suppresses glucagon secretion and induces a loss of α cell identity
Bibliographic record
Abstract
Dysregulated α cell function contributes to the development of diabetes. In this study, we find that treatment with imeglimin, an antidiabetic drug, prevents glucagon release and induces a loss of α cell identity through direct action on α cells. Mechanistically, imeglimin reduces Gsα expression to inhibit the exchange protein directly activated by cyclic adenosine monophosphate 2 (EPAC2)-mediated secretion of glucagon induced by low glucose, gastric inhibitory polypeptide (GIP), or adrenaline in an insulin-independent manner. Imeglimin also attenuates α cell Ca 2+ oscillations. MafB expression is downregulated by imeglimin to induce α cell dedifferentiation. In addition, imeglimin upregulates C/EBP homologous protein (CHOP) expression, which partly contributes to the reduction in Gsα and MafB expression to reduce glucagon secretion and induce α cell reprogramming without altering protein translation. These pleiotropic effects of imeglimin on glucagon secretion and α cell identity can be recapitulated in mouse models of diabetes in vivo . These data suggest that the imeglimin-mediated regulation of α cell plasticity, particularly via glucagon suppression, may contribute to glucose homeostasis. • Imeglimin suppresses glucagon secretion by inhibiting Gsα signaling in α cells • Imeglimin reduces MafB expression, promoting dedifferentiation of α cells • CHOP governs imeglimin-induced modulation of glucagon release and α cell identity • Imeglimin’s α cell effects are validated in human islets and complementary models In type 2 diabetes, glucagon dysregulation persists. Tsuno et al. demonstrate that imeglimin suppresses glucagon secretion and induces α cell dedifferentiation via inhibition of Gsα and MafB, respectively, with both effects attenuated by CHOP deletion, highlighting a CHOP-dependent regulatory axis in α cell function and identity.
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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 | 0.001 |
| 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".