ArticleJournal of the American Heart Association2025
Metabolomics Profiling of Epicardial Adipose Tissue: MESA and the Rotterdam Study.
Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The trial behind it
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Who cites it
6 citing papers in PubMed.
- Serum metabolite patterns of adipose tissue distribution and body composition subphenotypes.Lipids in health and disease · 2026Article
- Epicardial Adipose Tissue as a Cardiometabolic Target in Atrial Fibrillation: Implications for Ablation Strategies and Emerging Metabolic Therapies.Medical sciences (Basel, Switzerland) · 2026Review
- Review
- Serum Metabolites and Heart Failure Risk: MESA and RS.Journal of the American Heart Association · 2025Article
- Epicardial adipose tissue: a potential biomarker and therapeutic target in patients with paradoxical low-gradient aortic stenosis and preserved ejection fraction.Annals of medicine and surgery (2012) · 2025Article
- The Role of Pericardial Fat in Cardiometabolic Disease: Emerging Evidence and Therapeutic Potential.Current cardiology reports · 2025Review
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
backgroundExcess epicardial adipose tissue (EAT) has been associated with cardiovascular diseases such as atrial fibrillation, coronary artery disease, and heart failure. The metabolomic signature of EAT is not well studied.
methodsUntargeted 1H nuclear magnetic resonance metabolomics profiling of serum was performed (1-dimensional nuclear magnetic resonance, Carr-Purcell-Meiboom-Gill Echo Train Acquisition, lipidomics) and EAT was measured with computed tomography in MESA (Multi-Ethnic Study of Atherosclerosis; N=3936) and the Rotterdam study (N=465). Associations between fasting serum metabolites and EAT volume were assessed using cross-sectional linear regression of individual-level data in MESA and validated in Rotterdam.
resultsA total of 23 571 metabolomic spectral variables were evaluated. In MESA, after adjustment for age, sex, and race and ethnicity, 38 metabolites were positively and 19 metabolites negatively associated with EAT at a false discovery rate
conclusionsFrom >20 000 metabolomic features, 1,5-anhydrosorbitol, glycoproteins, phospholipids, and atherogenic dyslipidemia markers emerged as significant markers of EAT. Further investigation is warranted to determine whether nuclear magnetic resonance-based metabolic profiling can improve EAT detection with implications for cardiometabolic health.
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