Abstract 686: Glp-2 Predicts Cardiovascular Outcomes In Patients With Myocardial Infarction And Increases Atherosclerosis In Mice
Bibliographic record
Abstract
Background: GLP-1 and GLP-2 (glucagon-like peptide-1/2) are incretin hormones that are co-secreted from intestinal L-cells in response to food. While GLP-1 is known to induce postprandial insulin secretion and to improve cardiovascular outcomes in patients with diabetes, GLP-2 is a local intestinal growth factor enhancing intestinal nutrient absorption. GLP-2 agonists are clinically used for the treatment of patients with short bowel syndrome. The relevance of GLP-2 beyond the gut is not well understood. The aim of this study was to investigate the role of GLP-2 for cardiovascular disease (CVD). Methods: Circulating GLP-2 levels were assessed at time of hospital admission in 1929 patients with myocardial infarction. The primary outcome of the study was the first occurrence of cardiovascular death, nonfatal myocardial infarction, or nonfatal stroke (3-P-MACE). To induce atherosclerosis, Glp2r –/– or WT mice were injected with PCSK9 virus and fed a HCD for 12 weeks. Results: Kaplan-Meier survival plots and univariable cox regression analyses found GLP-2 to be associated with adverse outcome (3-P-MACE and all-cause mortality; log. GLP-2 values HR: 2.87; p<.0001). Further adjustment for age, sex, smoking, hypertension, hypercholesterinemia, previous CVD and diabetes mellitus did not affect this association (log. GLP-2 values HR: 2.66; p=0.0055). Receiver operating characteristic curve (ROC) analyses illustrated that GLP-2 is a strong indicator for early events, which proved to be superior to Troponin T and hs-CRP. To asses the functional role of GLP-2 in CVD in an experimental approach we injected Glp2r –/– or WT mice PCSK9 virus and fed these mice a HCD. After 12 weeks Glp2r –/– mice compared to WT littermates presented with a significant reduction in plaque volume and lesion size. While body weight and leukocyte numbers in various organs were unaffected, Glp2r –/– mice had significantly lower cholesterol levels. Conclusion: Circulating GLP-2 levels are independently associated with cardiovascular events in patients with myocardial infarction while inactivation of the GLP-2 system reduces atherosclerosis in mice. Future studies are needed to investigate whether the GLP-2 receptor might provide a novel therapeutic target for cardiovascular disease.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".