The correlation of pericoronary adipose tissue with coronary artery disease and left ventricular function

You, Deshu; Yu, Hao; Wang, Zhiwei; Wei, Xiaoyü; Shi, Haifeng; Pan, Changjie

doi:10.1186/s12872-022-02843-y

Cited by 6 publications

(4 citation statements)

References 54 publications

(63 reference statements)

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“…Other studies had similar results as our data regarding correlation of EAT thickness and PCFT and obstructive CAD [14,15]. However, You et al [16] reported that there was no correlation between PCFT and CAD severity. A possible explanation for this inconsistency might be a different study design and measurement methods.…”

Section: Discussionsupporting

confidence: 89%

Evaluation of epicardial adipose tissue by coronary multi-detector computed tomography: an independent predictor of obstructive coronary artery disease

Moradi

Talebi

2023

Egypt J Radiol Nucl Med

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Background The aim of this retrospective cross-sectional study was to investigate the relationship between epicardial adipose tissue and coronary artery disease and its severity. Methods A total of 344 subjects with clinically suspected coronary artery disease underwent 256-slice multi-detector CT coronary angiography and were categorized as follows: no CAD, non-obstructive CAD (luminal narrowing < 50%) and obstructive CAD (luminal narrowing ≥ 50%). Calcium score was quantified using the Agatston method. Mean Epicardial adipose tissue (EAT) and mean pericoronary fat thickness (PCFT) were measured and utilized for data analysis. Results There was a significant association between EAT thickness and PCFT with clinical risk factors of CAD including HTN, DM and obesity (P-value: < 0.001) and dyslipidemia (P-value: 0.003, P-value: 0.008 for EAT and PCFT, respectively). EAT thickness and PCFT were significantly higher in obstructive CAD compared to non-obstructive CAD and no CAD categories (P-value: < 0.001). Also, there is positive strong correlation between EAT thickness, PCFT and Calcium score (P-value: < 0.001). Optimal cut-off point of PCFT for estimating obstructive CAD was > 12.87 mm (sensitivity: 77.06%, specificity: 66.06% and AUC:0.76; 95%CI:0.69–0.81) via receiver operating characteristic curve. On multivariate logistic analysis which included conventional risk factors of CAD, PCFT was an independent predictor of obstructive CAD (Odds ratio:1.55; P-value: < 0.001). Conclusions EAT thickness and PCFT were significantly increased in coronary artery disease. PCFT is a simple accessible marker for predicting obstructive CAD with acceptable diagnostic performance.

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Section: Discussionsupporting

confidence: 89%

Evaluation of epicardial adipose tissue by coronary multi-detector computed tomography: an independent predictor of obstructive coronary artery disease

Moradi

Talebi

2023

Egypt J Radiol Nucl Med

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“…Wen D et al also reported that PCAT CT attenuation, but not volume, was related to the haemodynamic significance of coronary artery stenosis [ 19 ]. You D et al reported that risk factors for coronary artery disease and the Gensini score had no association with PCAT volume [ 37 ]. The radiodensity of fat tissue may become a more sensitive imaging marker than adipose tissue volume [ 38 ].…”

Section: Discussionmentioning

confidence: 99%

Assessment of myocardial bridging and the pericoronary fat attenuation index on coronary computed tomography angiography: predicting coronary artery disease risk

Lü

Liu

Zhu

et al. 2023

BMC Cardiovasc Disord

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Background The fat attenuation index (FAI) is a radiological parameter that represents pericoronary adipose tissue (PCAT) inflammation, along with myocardial bridging (MB), which leads to pathological shear stress in the coronary vessels; both are associated with coronary atherosclerosis. In the present study, we assessed the predictive value of FAI values and MB parameters through coronary computed tomography angiography (CCTA) for predicting the risk of coronary atherosclerosis and vulnerable plaque in patients with MB. Methods We included 428 patients who underwent CCTA and were diagnosed with MB. FAI values, MB parameters, and high-risk coronary plaque (HRP) characteristics were recorded. The subjects were classified into two groups (A and B) according to the absence or presence of coronary plaque in the segment proximal to the MB. Group B was further divided into Groups B1 (HRP-positive) and B2 (HRP-negative) according to the HRP characteristic classification method. The differences among the groups were analysed. Multiple logistic regression analysis was performed to determine the independent correlation between FAI values and MB parameters and coronary atherosclerosis and vulnerable plaque risk. Results Compared to the subjects in Group A, those in Group B presented greater MB lengths, MB depths and muscle index values, more severe MB systolic stenosis and higher FAIlesion values (all P < 0.05). In multivariate logistic analysis, age (OR 1.076, P < 0.001), MB systolic stenosis (OR 1.102, P < 0.001) and FAIlesion values (OR 1.502, P < 0.001) were independent risk factors for the occurrence of coronary atherosclerosis. Compared to subjects in Group B2, those in Group B1 presented greater MB lengths and higher FAI values (both P < 0.05). However, only the FAIlesion value was an independent factor for predicting HRP (OR 1.641, P < 0.001). Conclusion In patients with MB, MB systolic stenosis was associated with coronary plaque occurrence in the segment proximal to the MB. The FAI value was not only closely related to coronary atherosclerosis occurrence but also associated with plaque vulnerability. FAI values may provide more significant value in the prediction of coronary atherosclerosis than MB parameters in CCTA.

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“…While several common risk factors predispose to both obesity and atherosclerosis, for a long time, these two diseases were viewed as parallel, simultaneously developing, but mechanistically independent. However, alterations in adipose tissue function in atherosclerosis recently started to draw significant attention ( 34 – 36 ). Perivascular adipose tissue (PVAT) is especially interesting due to its proximity to the aortic wall ( Figure 1 ).…”

Section: Types Of Adipose Tissuementioning

confidence: 99%

Fat and inflammation: adipocyte-myeloid cell crosstalk in atherosclerosis

Mazitova,

Márquez-Sánchez,

Koltsova

2023

Front. Immunol.

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Adipose tissue inflammation has been implicated in various chronic inflammatory diseases and cancer. Perivascular adipose tissue (PVAT) surrounds the aorta as an extra layer and was suggested to contribute to atherosclerosis development. PVAT regulates the function of endothelial and vascular smooth muscle cells in the aorta and represent a reservoir for various immune cells which may participate in aortic inflammation. Recent studies demonstrate that adipocytes also express various cytokine receptors and, therefore, may directly respond to inflammatory stimuli. Here we will summarize current knowledge on immune mechanisms regulating adipocyte activation and the crosstalk between myeloid cells and adipocytes in pathogenesis of atherosclerosis.

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The correlation of pericoronary adipose tissue with coronary artery disease and left ventricular function

Cited by 6 publications

References 54 publications

Evaluation of epicardial adipose tissue by coronary multi-detector computed tomography: an independent predictor of obstructive coronary artery disease

Evaluation of epicardial adipose tissue by coronary multi-detector computed tomography: an independent predictor of obstructive coronary artery disease

Assessment of myocardial bridging and the pericoronary fat attenuation index on coronary computed tomography angiography: predicting coronary artery disease risk

Fat and inflammation: adipocyte-myeloid cell crosstalk in atherosclerosis

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