Obesity plays an important role in the pathogenesis of atrial fibrillation (AF). Recently, rather than general fat distribution, epicardial adipose tissue (EAT) gains a growing concern. EAT is the local adipose deposition between myocardium and pericardium. Accumulated evidence revealed several distinguishing characteristics of EAT. It lies contiguously with the myocardium and could infiltration into myocardium, actively secrets cytokines and adipokines mediating inflammation or remodeling, and contains abundant ganglionated plexi. Clinical research also found EAT may be an independent risk factor of AF. Volume or thickness of EAT measured on CT or MRI could be applied as a predictor of presence, severity, and recurrence of AF. Some drugs, like antidiabetic drugs and lipid-lowing drugs, show ability to reduce EAT. Additional surgical ablation of EAT was also proved that it could improve outcome of pulmonary vein isolation for AF. In present review, we summarize recent epidemic, biological, and clinical findings about EAT and its possible role in AF. K E Y W O R D S atrial fibrillation, epicardial adipose tissue, mechanisms, therapies 1 2 THE LINK BETWEEN AF, OBESITY, AND ADIPOSE TISSUE
Obesity and AFObesity is an already recognized risk factor of AF. 5,6 It is usually assessed by several indicators, such as body mass index (BMI), waist circumference, waist to hip ratio, and body fat rate. Compared with nonobese people, obese individuals possess higher probability (49%) of suffering AF, which may be associated with atrial enlargement, ventricular diastolic dysfunction, and ectopic fat depot increase. 5 Furthermore, previous literature showed that every 5 kg/m 2 increase in BMI could increase about 10-30% higher risks of AF, and also indicated that every 1 kg/m 2 reduction in BMI was associated with a significant 7% reduction in the risk of AF. 7 These pieces of evidence support that obesity is closely associated with AF occurrence. However, in general, the indicators to measure obesity, such as BMI, are relatively rough to reflect excess adipose; and individuals with similar BMI may have different risks of AF. More precise measurements are needed to predict the occurrence and development of AF.