Extrahypothalamic Expression of the Glucagon-Like Peptide-2 Receptor Is Coupled to Reduction of Glutamate-Induced Cell Death in Cultured Hippocampal Cells
Bibliographic record
Abstract
Proglucagon-derived glucagon-like peptide-2 (GLP-2) is liberated in enteroendocrine cells and neurons. GLP-2 regulates energy absorption and epithelial integrity in the gastrointestinal tract, whereas GLP-2 action in the central nervous system remains poorly defined. We identified proglucagon and GLP-2 receptor (GLP-2R) mRNA transcripts by RT-PCR in multiple regions of the developing and adult rat central nervous system. GLP-2R mRNA transcripts were localized by in situ hybridization to the hippocampus, hypothalamus, nucleus of the solitary tract, parabrachial nucleus, supramammillary nucleus, and substantia nigra. The bioactive form of GLP-2, GLP-2-(1-33) was detected by RIA and HPLC analysis in the fetal and adult brainstem and hypothalamus. GLP-2 stimulated increases in cAMP accumulation in postnatal d 8, but not embryonic d 14, dispersed neonatal rat brainstem tissues. The actions of GLP-2 were independent of the GLP-1R antagonist exendin-(9-39), and GLP-2 stimulated cAMP accumulation in hippocampal cell cultures from both wild-type and GLP-1R(-/-) mice. GLP-2 significantly reduced glutamate-induced excitotoxic injury in hippocampal cells via a protein kinase A-dependent pathway, but had no effect on the rate of cell proliferation. These findings establish the presence of a functional GLP-2-GLP-2R axis in the developing rodent brain and demonstrate that GLP-2 exerts cytoprotective actions in cells derived from the central nervous system.
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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) | 0.001 | 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) | 0.002 | 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".