GLP-2 as an indicator and modulator of acute inflammation improves cardiac function and survival in sepsis
Bibliographic record
Abstract
Abstract Purpose GLP-1 and GLP-2 (glucagon-like peptide-1/2) are gut hormones secreted in response to food. While GLP-1 controls glucose metabolism, GLP-2 is a local gut growth factor regulating intestinal nutrient absorption. GLP-2 has been found to be upregulated in patients with colitis. We hypothesize that beyond its local intestinal function GLP-2 might be involved in systemic immune responses. Methods and results To analyze whether GLP-2 secretion is modulated by the immune system, we measured circulating GLP-2 levels in 2 clinical cohorts. In the first cohort (n=34) GLP-2 levels increased over time following cardiac surgery as an inflammatory stimulus. In the second cohort 223 patients with sepsis had a 3.9 fold increase of GLP-2 plasma levels vs. 53 healthy controls (3.0 ng/mL vs. 11.4 ng/mL; p<0.001). High GLP-2 levels were associated with markers of inflammation (IL-6, PCT, CRP), septic cardiomyopathy (NT-proBNP) and independently predicted mortality in humans with sepsis. Induction of sepsis in mice by endotoxin or cecal ligation puncture strongly increased GLP-2 levels independent from food intake. By injecting various proinflammatory cytokines and inducing sepsis in IL1R−/− and IL6−/− mice we identified that inflammation upregulates GLP-2 secretion through IL-6. To identify the source of GLP-2 secretion under inflammation, we induced sepsis in Gcg−/− mice lacking endogenous GLP-2 production with a tissue-specific reactivation of Gcg in gut L-cells (GcgRAΔvilCre) or pancretic alpha cells (GcgRAΔPDX1-Cre). We observed sepsis-induced GLP-2 secretion to be derived from the pancreas and not from the gut. Additional in-vitro and ex-vivo approaches revealed that IL-6 directly activates GLP-2 secretion from pancreatic alpha cells. Gcg−/− mice lacking GLP-2 production and Glp2r−/− mice show aggravated sepsis indicating that endogenous upregulation of GLP-2 is protective. Finally, we analyzed whether inflammatory upregulation of GLP-2 has immunomodulatory relevance. We administered GLP-2 or saline as control per central jugular vein catheter mice who underwent CLP. GLP-2 treatment improved LV-contractility (dp/dtmax) in septic cardiomyopathy (control 7361 vs. GLP-2 9500 mmHg/s; p<0.01), inhibited sepsis-induced hypotension and reduced mortality (p=0.018). Mechanistically GLP-2 reduced myeloid immune cell infiltration into heart and liver tissue and decreased proinflammatory cytokine levels in various organs and the blood (TNF-α, IL-6 and IL-1β). After broad GLP-2 receptor profiling we found maximum mRNA expression in gut tissues with no expression on immune cells. By further mechanistic studies we found GLP-2 to protect against sepsis-induced gut barrier dysfunction. Conclusions Here we identified a counter-regulatory control system in which IL-6 derived upregulation of GLP-2 secretion limits excessive innate immune responses and protects against sepsis. These findings might open new avenues for the treatment of patients with inflammatory diseases. Funding Acknowledgement Type of funding sources: Foundation. Main funding source(s): European Foundation for the Study of Diabetes, European Research Area Network on Cardiovascular Diseases (ERA-CVD and BMBF), Deutsche Forschungsgemeinschaft (DFG)
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) | 0.001 | 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".