Distinct Neural Sites of GLP-1R Expression Mediate Physiological versus Pharmacological Control of Incretin Action
Bibliographic record
Abstract
Glucagon-like peptide 1 (GLP-1) receptors are widely distributed throughout the nervous system, enabling physiological and pharmacological control of glucose and energy homeostasis. Here we elucidated the importance of Glp1r expression within cellular domains targeted by expression of Wnt1 - Cre2 or Phox2b - Cre . Widespread loss of neural Glp1r in Glp1r ΔWnt1−/− mice had no effect on basal food intake, gastric emptying, and glucose homeostasis. However, the glucoregulatory actions of GLP-1R agonists, but not gut-selective DPP-4 inhibition, were preserved in Glp1r ΔWnt1−/− mice. Unexpectedly, selective reduction of Glp1r expression within neurons targeted by Phox2b - Cre impaired glucose homeostasis and gastric emptying and attenuated the extent of weight loss achieved with sustained GLP-1R agonism. Collectively, these studies identify discrete neural domains of Glp1r expression mediating GLP-1-regulated control of metabolism and the gut-brain axis and reveal the unexpected importance of neuronal Phox2b + cells expressing GLP-1R for physiological regulation of gastric emptying, islet hormone responses, and glucose homeostasis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
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 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".