Key result
Epicardial adipose tissue in patients with coronary artery disease exhibited altered metabolism and inflammation gene regulation, identifying the miR-103-3p/CCL13 pair as potential biomarkers.
Observational
Epicardial adipose tissue in CAD patients exhibits a distinct pro-inflammatory microRNA and gene expression profile, highlighting the miR-103-3p/CCL13 pathway as a potential biomarker or therapeutic target.
miR-103-3p/CCL13 may serve as CAD biomarker; cross-sectional data leave open causal role and clinical utility.
BACKGROUND: Epicardial adipose tissue (EAT) is an atypical fat depot surrounding the heart with a putative role in the development of atherosclerosis. METHODS AND RESULTS: We profiled genes and miRNAs in perivascular EAT and subcutaneous adipose tissue (SAT) of metabolically healthy patients without coronary artery disease (CAD) vs. metabolic patients with CAD. Compared with SAT, a specific tuning of miRNAs and genes points to EAT as a tissue characterized by a metabolically active and pro-inflammatory profile. Then, we depicted both miRNA and gene signatures of EAT in CAD, featuring a down-regulation of genes involved in lipid metabolism, mitochondrial function, nuclear receptor transcriptional activity, and an up-regulation of those involved in antigen presentation, chemokine signalling, and inflammation. Finally, we identified miR-103-3p as candidate modulator of CCL13 in EAT, and a potential biomarker role for the chemokine CCL13 in CAD. CONCLUSION: EAT in CAD is characterized by changes in the regulation of metabolism and inflammation with miR-103-3p/CCL13 pair as novel putative actors in EAT function and CAD.
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Vacca et al. (2015) conducted an observational in Coronary atherosclerosis. Metabolic patients with coronary artery disease vs. Metabolically healthy patients without coronary artery disease was evaluated on Gene and miRNA profiles in perivascular epicardial adipose tissue (EAT) and subcutaneous adipose tissue (SAT). Epicardial adipose tissue in patients with coronary artery disease exhibited altered metabolism and inflammation gene regulation, identifying the miR-103-3p/CCL13 pair as potential biomarkers.
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