Evaluation of Epicardial Adipose Tissue in Patients of Type 2 Diabetes Mellitus by Echocardiography and its Correlation with Intimal Medial Thickness of Carotid Artery

2017 ◽  
Vol 125 (09) ◽  
pp. 598-602 ◽  
Author(s):  
Zihang Wang ◽  
Yuhong Zhang ◽  
Weiwei Liu ◽  
Benli Su
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Adipose Tissue ◽  
Carotid Artery ◽  
Epicardial Adipose Tissue ◽  
Control Group ◽  
Intimal Medial Thickness ◽  
Type 2 Diabetic

AbstractThe present study aimed to evaluate the diagnostic value of echocardiography in measuring the thickness of epicardial adipose tissue (EAT) of the patients of type 2 diabetes mellitus (T2DM) and its correlation with the intimal-medial thickness of the carotid artery (cIMT) to investigate the relationship between EAT and cIMT. 68 patients of T2DM were enrolled and were divided into 2 groups: group of T2DM with duration≤10 years (35 cases) and group of T2DM with duration>10 years (33 cases). And 30 healthy subjects were enrolled as the control group. The thickness of EAT and cIMT were measured by echocardiography and high-frequency ultrasonography. The thickness of EAT and IMT of the carotid artery of 2 type 2 diabetic groups (duration≤10 years and>10 years) were significantly higher than that of the control group (all p<0.05), and the thickness of EAT and cIMT of the group of T2DM with duration>10 years were significantly higher than that of the group of T2DM with duration≤10 years (p<0.05). In univariate analysis, the thickness of EAT was positively and significantly associated with age (r=0.412, p<0.05), BMI (r=0.566, p<0.05), waist circumference (r=0.475, p<0.05), LDL (r=0.425, p<0.05), TG (r=0.496, p<0.05), duration of diabetes (r=0.384, p<0.05) and cIMT (r=0.456, p<0.05). In multiple stepwise regression analyses, age, BMI and IMT of carotid artery were appeared to be significantly associated with EAT (p<0.05 for all). In conclusion, routine screening of EAT and cIMT by ultrasonography in type 2 diabetic patients helps us to predict cardiovascular risks and prevent further development of cardiovascular complications.

The Relationship Between Visceral Adiposity Index and Epicardial Adipose Tissue in Patients with Type 2 Diabetes Mellitus

2019 ◽  
Author(s):  
Ismail Baloglu ◽  
Kultigin Turkmen ◽  
Nedim Selcuk ◽  
Halil Tonbul ◽  
Adalet Ozcicek ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Adipose Tissue ◽  
Epicardial Adipose Tissue ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Patients With Diabetes ◽  
The Relationship

Abstract Introduction and aim Cardiovascular diseases remain the most common cause of morbidity and mortality in patients with diabetes. Epicardial adipose tissue (EAT), visceral fat depot of the heart, was found to be associated with coronary artery disease in cardiac and non-cardiac patients. Increased visceral adiposity is associated with proinflammatory activity, impaired insulin sensitivity, increased risk of atherosclerosis and high mortality. In the present study we aimed to investigate the relationship between EAT and visceral adiposity index (VAI) in patients with diabetes. Methods This was a cross-sectional study involving 128 patients with type 2 diabetes mellitus (73 females, 55 males; mean age, 54.09+±+9.17 years) and 32 control subjects (23 females, 9 males; mean age, 50.09+±+7.81 years). EAT was measured by using a trans-thoracic echocardiograph. Parameters such as waist circumference (WC), body mass index (BMI), triglyceride and high density lipoprotein (HDL) cholesterol were used to calculate VAI. Result EAT and VAI measurements were significantly higher in patients with diabetes when compared to control subjects. In the bivariate correlation analysis, VAI was positively correlated with uric acid level (r=0.214, p=0.015), white blood cell count (r= 0.262, p=0.003), platelet count (r=0.223, p=0.011) and total cholesterol levels (r= 0.363, p<0.001). Also, VAI was found to be the independent predictor of EAT. Conclusion Simple calculation of VAI was found to be associated with increased EAT in patients with type 2 diabetes.

scholarly journals Secretory Products From Epicardial Adipose Tissue of Patients With Type 2 Diabetes Mellitus Induce Cardiomyocyte Dysfunction

Circulation ◽  
2012 ◽  
Vol 126 (19) ◽  
pp. 2324-2334 ◽  
Author(s):  
Sabrina Greulich ◽  
Bujar Maxhera ◽  
Guy Vandenplas ◽  
Daniella Herzfeld de Wiza ◽  
Konstantinos Smiris ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Adipose Tissue ◽  
Epicardial Adipose Tissue ◽  
Secretory Products

scholarly journals Increased Epicardial Adipose Tissue Thickness in Type 2 Diabetes Mellitus and Obesity

2015 ◽  
Vol 39 (5) ◽  
pp. 405 ◽  
Author(s):  
Do Kyeong Song ◽  
Young Sun Hong ◽  
Hyejin Lee ◽  
Jee-Young Oh ◽  
Yeon-Ah Sung ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Adipose Tissue ◽  
Epicardial Adipose Tissue ◽  
Tissue Thickness ◽  
Epicardial Adipose Tissue Thickness

scholarly journals Role of miRNAs in Epicardial Adipose Tissue in CAD Patients with T2DM

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Yang Liu ◽  
Wenbo Fu ◽  
Mu Lu ◽  
Shitao Huai ◽  
Yaqin Song ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Adipose Tissue ◽  
Metabolic Disorders ◽  
Molecular Mechanisms ◽  
Epicardial Adipose Tissue ◽  
Differentially Expressed ◽  
Metabolically Healthy

Background. Epicardial adipose tissue (EAT) is identified as an atypical fat depot surrounding the heart with a putative role in the involvement of metabolic disorders, including obesity, type-2 diabetes mellitus, and atherosclerosis. We profiled miRNAs in EAT of metabolic patients with coronary artery disease (CAD) and type-2 diabetes mellitus (T2DM) versus metabolically healthy patients by microarray. Compared to metabolically healthy patients, we identified forty-two miRNAs that are differentially expressed in patients with CAD and T2DM from Xinjiang, China. Eleven miRNAs were selected as potential novel miRNAs according toPvalue and fold change. Then the potential novel miRNAs targeted genes were predicted via TargetScan, PicTar, and miRTarbase, and the function of the target genes was predicted via Gene Ontology (GO) analysis while the enriched KEGG pathway analyses of the miRNAs targeted genes were performed by bioinformatics software DAVID. Then protein-protein interaction networks of the targeted gene were conducted by online software STRING. Finally, using microarray, bioinformatics approaches revealed the possible molecular mechanisms pathogenesis of CAD and T2DM. A total of 11 differentially expressed miRNAs were identified and among them, hsa-miR-4687-3p drew specific attention. Bioinformatics analysis revealed that insulin signaling pathway is the central way involved in the progression of metabolic disorders.Conclusions. The current findings support the fact that miRNAs are involved in the pathogenesis of metabolic disorders in EAT of CAD patients with T2DM, and validation of the results of these miRNAs by independent and prospective study is certainly warranted.

scholarly journals Development of a nomogram for predicting the risk of left ventricular diastolic function in subjects with type-2 diabetes mellitus

2021 ◽  
Author(s):  
Yuan Chen ◽  
Meng Yu ◽  
Yalin Lan ◽  
Fei Feng ◽  
Chengyan Jiang
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Adipose Tissue ◽  
Diastolic Dysfunction ◽  
Epicardial Adipose Tissue ◽  
Left Ventricular ◽  
Lasso Regression ◽  
Roc Curve Analysis

AbstractLeft ventricular diastolic dysfunction (LVDD) can be affected by many factors, including epicardial adipose tissue (EAT), obesity and type-2 diabetes mellitus (T2DM). The aim of this study was to establish and validate an easy-to-use nomogram that predicts the severity of LVDD in patients with T2DM. This is a retrospective study of 84 consecutive subjects with T2DM admitted to the Endocrinology Department, the First People’s Hospital of Zunyi City between January 2015 and October 2020. Several echocardiographic characteristics were used to diagnose diastolic dysfunction according to the 2016 diastolic dysfunction ASE guidelines. Anthropometric, demographic, and biochemical parameters were collected. Through a least absolute shrinkage and selection operator (LASSO) regression model, we reduced the dimensionality of the data and determined factors for the nomogram. The mean follow-up was 25.97 months. Cases were divided into two groups, those with LVDD (31) and those without (53). LASSO regression identified total cholesterol (Tol.chol), low-density lipoprotein (LDL), right ventricular anterior wall (RVAW) and epicardial adipose tissue (EAT) were identified as predictive factors in the nomogram. The ROC curve analysis demonstrated that the AUC value for most clinical paramerters was higher than 0.6. The nomogram can be used to promote the individualized prediction of LVDD risk in T2DM patients, and help to prioritize patients diagnosed with echocardiography.

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