GLP-1 levels predict adverse cardiovascular events in hospitalized patients with residual inflammatory risk

B. Kurt (Aachen)1, M. Mertens (Aachen)1, A. G. Antwerpen (Aachen)1, K. Rex (Aachen)1, J. Bornemann (Aachen)1, K. L. Aygar (Aachen)1, A. Giacin (Aachen)1, M. Reugels (Aachen)1, R. Salagundi (Aachen)1, S. Just (Aachen)1, J. Spießhöfer (Aachen)2, A. Milzi (Lugano)3, K. Kneizeh (Aachen)1, J. Schröder (Aachen)1, D. Müller-Wieland (Aachen)1, E. Dahl (Aachen)4, M. Lehrke (Traunstein)5, N. Marx (Aachen)1, F. Kahles (Aachen)1
1Uniklinik RWTH Aachen Med. Klinik I - Kardiologie, Angiologie und Internistische Intensivmedizin Aachen, Deutschland; 2Uniklinik RWTH Aachen Med. Klinik V - Klinik für Pneumologie und Internistische Intensivmedizin Aachen, Deutschland; 3Istituto Cardiocentro Ticino - EOC Lugano, Schweiz; 4Uniklinik RWTH Aachen RWTH cBMB am Institut für Pathologie Aachen, Deutschland; 5Klinikum Traunstein Kardiologie Traunstein, Deutschland

Background: Glucagon-like peptide-1 (GLP-1) is a gut-derived incretin hormone secreted in response to food-intake and pro-inflammatory stimuli. Secretion of GLP-1 leads to post-prandial insulin secretion and subsequent glucose lowering. Beyond metabolic effects, GLP-1 has pleiotropic and cardioprotective effects and GLP-1 receptor agonists reduce cardiovascular (CV) events in patients with diabetes or obesity. Direct anti-inflammatory effects are likely to contribute to beneficial effects of GLP-1RA. Clarifying the prognostic relevance of endogenous GLP-1 levels in CV disease could improve our understanding of how inflammation interacts with incretin pathways.

Methods: Circulating GLP-1 levels were measured in 888 fasted hospitalized patients in a cardiology department within a prospective single-center biobank study. The primary endpoint was a composite of non-fatal myocardial infarction, non-fatal stroke and CV death (MACE: major adverse cardiovascular events). Analyses were performed in the full cohort and stratified after individuals with and without residual inflammatory risk, defined by high-sensitivity C-reactive protein (hsCRP) levels above 2 mg/L. The association of GLP-1 with MACE was assessed using Kaplan-Meier curve, multivariable Cox proportional hazards and variable importance analyses.

Results: Median age of the cohort was 70 years, 65% were male and median GLP-1 levels were 31.5 pM. During a median follow-up period of two years, MACE was observed in 72 out of 888 patients. In Kaplan Meier curve analyses, GLP-1 levels above the median were associated with a higher rate of MACE (log-rank p=0.018). In univariable analyses, higher GLP-1 concentrations were associated with increased risk of MACE (GLP-1 above median: Hazard ratio (HR): 1.77; 95% confidence interval: 1.10, 2.85; p=0.019). These results remained significant after multivariable adjustment for age, sex, BMI, smoking, hypertension, type 2 diabetes, statin use, coronary artery disease, creatinine, LDL cholesterol and NT-proBNP (p=0.026). In variable importance analyses assessing the individual contribution of each variable from the multivariable model to prediction of MACE, GLP-1 ranked among the top predictors of outcome, outperforming traditional CV risk markers such as LDL cholesterol and creatinine. Importantly, in patients without systemic low-grade inflammation (hsCRP <2 mg/L), GLP-1 was not associated with MACE (log-rank p=0.391; HR: 1.39; 95% CI: 0.68, 2.67, p=0.393) and ranked last in variable importance analyses. Whereas in patients with hsCRP levels ≥2 mg/L, higher GLP-1 levels were strongly associated with MACE (log-rank p=0.019; HR: 2.25; 95% CI: 1.12, 4.52; p=0.023) and showed high variable importance, ranking second after NT-proBNP.

Conclusions: In hospitalized stable patients with CVD elevated circulating GLP-1 levels independently predicted MACE, with the strongest associations in those with residual inflammatory risk. These findings support the hypothesis of GLP-1 as an endogenous counter-regulatory peptide that rises in response to inflammatory activation. GLP-1 may serve as a marker of residual inflammatory risk, representing a compensatory, anti-inflammatory mechanism.