Key result
Liraglutide fails to alter biomarkers despite significant transcardiac gradients in left atrial blood.
Why the study?
Biomarkers provide prognostic information in AF and epicardial adipose tissue may promote atrial substrate via inflammatory and fibrotic adipokines, prompting evaluation of how left atrial biomarkers relate to left atrial epicardial adipose tissue and peripheral biomarkers.
Does liraglutide added to a structured risk factor management program alter left atrial and peripheral blood biomarkers and their relationship to left atrial epicardial adipose tissue in patients with atrial fibrillation and BMI ≥27 kg/m2 undergoing catheter ablation?
RCT (n=59)
Randomized
Does liraglutide added to a structured risk factor management program alter left atrial and peripheral blood biomarkers and their relationship to left atrial epicardial adipose tissue in patients with atrial fibrillation and BMI ≥27 kg/m2 undergoing catheter ablation?
Significant differences exist between left atrial and peripheral blood biomarkers in overweight/obese patients with atrial fibrillation undergoing ablation, suggesting left atrial biomarkers (especially Activin-A) may better reflect atrial remodeling and epicardial adipose tissue activity, though liraglutide showed no treatment effect on biomarker levels.
Answers are grounded in this paper and cite their sources.
Should not yet alter peripheral biomarker use in AF; leaves open validation of local sampling for remodeling assessment.
Background Biomarkers provide prognostic information in atrial fibrillation(AF). Epicardial adipose tissue(EAT) may promote atrial substrate through release of adipokines mediating inflammation and fibrosis. Objectives To evaluate the relationship of left atrial(LA) biomarkers to LAEAT and peripheral biomarkers. Methods Patients with AF with BMI≥27 kg/m2 undergoing catheter ablation were randomized to receive a structured RFM program (n=28) or RFM+liraglutide (n=31) up to 1.8 mg sc daily. Peripheral blood biomarkers were collected at enrollment, prior to ablation, and 12 months post-ablation. During the procedure, LA blood was drawn for biomarker assessment. LAEAT was quantified by CT just prior to ablation. Results Fifteen of 21 markers differed between peripheral and LA samples: CRP, galectin, NT-proANP, troponinT, FFAs, adiponectin, fibrinogen, Activin-A, TGF-ß, MMPs, and TIMPs (p<0.05); many showed strong (r>0.55, p<0.001) correlation (CRP, Galectin, IL-6, Resistin, NT-proANP, NT-proBNP, Adiponectin, Fibrinogen, MMP1), some moderate (r=0.31-0.43) correlation (MCP-1, Troponin T, PAI-1, TIMP1), and some no correlation (TNF-α, FFAs, TGF-β, MMP-2, MMP-8, MMP-9, TIMP-2). Activin-A had a unique bimodal profile. LAEAT volume correlated with MMP-1 (r=0.28, 95%CI 0.00 to 0.52; p=0.049). LAEAT-HU correlated inversely with TIMP-1 (r=−0.37, 95%CI -0.60 to -0.08; p=0.015). Time-dependent changes were observed in NT-proBNP, FFAs, adiponectin, resistin, MMP-2, TIMP-1, and TIMP-2 (p<0.01); there was no treatment effect. Conclusions Differences between pre-ablation peripheral and LA blood biomarkers may reflect changes in EAT and atrial myocardium metabolism and structure, suggesting LA biomarkers may be more relevant to atrial remodeling than peripheral biomarker levels. LA Activin A appears to be a promising biomarker for phenotyping AF.
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Iacobellis et al. (2026) conducted an RCT in Atrial fibrillation (n=59). Structured risk factor management (RFM) program plus liraglutide vs. Structured RFM program alone was evaluated on Relationship of left atrial (LA) biomarkers to LA epicardial adipose tissue (LAEAT) and peripheral biomarkers (p=<0.05). Liraglutide plus risk factor management showed no treatment effect on biomarkers, while 15 of 21 markers differed significantly between peripheral and left atrial blood (p<0.05).
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