Loss of GLP-2R signaling in Glp2r−/− mice increases the long-term severity of graft versus host disease
Bibliographic record
Abstract
BACKGROUND: Glucagon-like peptide-2 (GLP-2) reduces systemic and gut inflammation while preserving mucosal integrity. Preclinical and clinical reports implicate GLP-2 receptor (GLP-2R) agonism as a potential therapy for graft vs. host disease (GvHD). METHODS: Here we assessed whether enhanced vs. loss of GLP-2R signaling modifies gut injury and inflammation in experimental murine acute GvHD (aGvHD). Allogeneic hematopoietic cell transplantation (HCT) was performed using bone marrow and splenocytes from BALB/cJ donor mice to induce aGvHD in C57BL/6J recipients. Chimerism was determined by flow cytometry of immune cell compartments. Inflammation was assessed by measuring circulating cytokines and histological scoring of gut mucosal damage. GLP-2 responsivity was assessed using histology and gene expression analyses. The gut microbiome was assessed by 16S rRNA sequencing. RESULTS: mice exhibited reduced survival, associated with increased bacteremia. Shifts in microbial species abundance with gain or loss of GLP-2R signaling were not correlated with aGvHD clinical outcomes. CONCLUSIONS: Activation of GLP-2R signaling did not reduce the severity of experimental aGvHD, failing to replicate a previous study using an identical aGvHD protocol. Nevertheless, loss of GLP-2R signaling in transplant recipients decreased survival and increased bacteremia, implicating an essential role for endogenous GLP-2R signaling in maintaining barrier function in the context of immune-mediated gut epithelial injury.
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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".