UNASSIGNED: Epicardial adipose tissue (EAT) is implicated in the pathogenesis and progression of coronary artery disease (CAD). Limited data exists on the interplay between EAT and atherosclerosis in young individuals. Our study aims to explore the relationship between EAT and CAD in a young cohort.
UNASSIGNED: All young (18-45 years) patients without prior CAD, referred for coronary computed tomography angiography (CCTA) from 2016 to 2022 were included. EAT volume and coronary artery calcium (CAC) were calculated from dedicated non-contrast scans. Coronary plaque presence, extent, and volume were quantified from CCTA. Multivariable logistic regression models for the presence of CAD, defined as any coronary atherosclerosis, were performed.
UNASSIGNED: Overall, 712 patients (39±4.8 years, 54 % female) with 45 % Hispanic, and 21 % non-Hispanic Black were included. Patients with CAD had higher EAT volume than those without (80.80 mL ± 36.00 vs 55.16 mL ± 27.92; P < 0.001). In those with CAC=0, higher EAT was associated with the presence of CAD compared to lower EAT volume (P < 0.001). An EAT volume >76 mL was associated with higher CAC (P < 0.001), segment involvement score (P < 0.001), and quantitative total, non-calcified, and low-attenuation plaque volumes (P < 0.002). At multivariable analysis, EAT volume (per 10 mL, OR: 1.21; 95 %CI: 1.12-1.30; P < 0.0001) was independently associated with the presence of CAD.
UNASSIGNED: In a diverse cohort of young adults without history of CAD and undergoing a clinically indicated CCTA, EAT volume was independently associated with the presence of CAD. Our findings highlight EAT potential as a novel marker for CAD risk-assessment and a potential therapeutic target in young patients.

BACKGROUND: Rheumatoid arthritis (RA) is a chronic inflammatory disease that primarily affects the joints. RA is associated with high cardiovascular mortality and morbidity. One of the new markers of cardiometabolic risk is epicardial fat thickness, the study of EFT in patients with RA and its association with echocardiographic parameters may provide valuable insight into the potential cardiac involvement and overall cardiovascular risk in these patients.
METHODS: The present study is a cross-sectional study with a comparison group conducted in 2024. The study population included 66 RA patients and 66 healthy participants. Echocardiographic parameters, laboratory data including lipid profile and inflammatory markers, were obtained from the medical record.
RESULTS: Comparison of echocardiographic parameters between RA and healthy participants showed that E parameter and EFT were statistically significant in RA patients. (EFT was 5.22 ± 2.6 in RA patients which in comparison with healthy participant (5.22 ± 2.06) was statistically significant (p-value: <.001)). Also, EFT was correlated with RF, Anti-CCP, ESR, and systolic blood pressure.
CONCLUSIONS: To the best of our knowledge, ours is the first EFT study on RA patients in Iran, which shows a higher EFT in RA patients. High EFT is correlated with more cardiovascular events and is an early sign and independent predictor of atherosclerosis in RA patients, which greatly underlines the importance of cardiovascular assessment in RA patients.

BACKGROUND: The relationship between local epicardial adipose tissue (EAT) macrophages and atrial fibrillation (AF) remains unclear. The purpose of this study was to investigate the role of KCa3.1 in the migration of macrophages from EAT to adjacent atrial tissue during rapid pacing.
METHODS: Part 1: Eighteen beagles were randomly divided into the sham group, pacing group, and pacing + clodronate liposome (CL) group. Part 2: Eighteen beagles were randomly divided into the sham group, pacing group, and pacing + TRAM-34 group. HL-1 cells and RAW264.7 cells were cocultured to explore the specific migratory mechanism of macrophages.
RESULTS: Depleting EAT macrophages significantly reduced macrophage infiltration in the adjacent atrium and the induction of AF in canines with rapid atrial pacing. TRAM-34 significantly inhibited the migration of macrophages from EAT to the adjacent atrium and electrical remodeling in canines with rapid atrial pacing. Compared with those of the control HL-1 cells, the secretion of CCL2 and the number of migrating macrophages in pacing HL-1 cells were significantly increased, which could be reversed by TRAM-34. Further in vitro experiments showed that KCa3.1 regulated CCL2 secretion through the p65/STAT3 signaling pathway.
CONCLUSIONS: Inhibiting myocardial KCa3.1 reduced the migration of EAT macrophages to adjacent atrial muscles caused by rapid atrial pacing, thereby decreasing vulnerability to AF. The mechanism by which KCa3.1 regulates CCL2 may be related to the p65/STAT3 signaling pathway.

UNASSIGNED: Cardiotoxicity (CTX) induced by adjuvant chemotherapy is a significant factor that impacts the prognosis and quality of life in breast cancer (BC) patients. In this study, we aimed to investigate the changes in epicardial adipose tissue (EAT) before and after treatment in BC patients who received anthracyclines adjuvant chemotherapy protocol (AC-T) and anthracyclines combined with trastuzumabadjuvant chemotherapy protocol (AC-TH). Additionally, we assessed whether there were any differences in the changes in EAT between the two groups of patients. Our objective was to examine the effects of anthracyclines and trastuzumab on EAT and determine the potential role of EAT changes on CTX.
UNASSIGNED: We reviewed female BC patients who were treated with adjuvant chemotherapy protocols of AC-T and AC-TH, all of whom underwent baseline (T0) and follow-up (T1) chest computed tomography (CT) and echocardiography. A cohort of healthy women, matched in age, underwent two chest CTs. EAT was quantified on chest CT using semi-automated software. CTX was defined as a > 10% reduction in left ventricular ejection fraction (LVEF) from baseline, with an absolute value of < 53%.
UNASSIGNED: A total of 41 BC patients were included in the study, with 23 patients in the AC-T group and 18 patients in the AC-TH group. Additionally, 22 healthy females were included as the normal group. None of the BC patients developed CTX after chemotherapy. The age did not differ significantly between the normal group and the AC-T group (p = 0.341) or the AC-TH group (p = 0.853). Similarly, the body mass index (BMI) of the normal group was comparable to that of the AC-T group (p = 0.377, 0.346) and the AC-TH group (p = 0.148, 0.119) before and after chemotherapy. The EAT volume index (mL/kg/ m 2 ) was significantly higher in both the AC-T group (5.11 ± 1.85 vs. 4.34 ± 1.55, p < 0.001) and the AC-TH group (4.53 ± 1.61 vs. 3.48 ± 1.62, p < 0.001) at T1 compared with T0. In addition, both the AC-T group (-72.95 ± 5.01 vs. -71.22 ± 3.91, p = 0.005) and the AC-TH group (-72.55 ± 5.27 vs. -68.20 ± 5.98, p < 0.001) exhibited a significant decrease in EAT radiodensity (HU) at T1 compared to T0. However, there was no significant difference observed in the normal group. At T0, no difference was seen in EAT volume index (4.34 ± 1.55 vs. 3.48 ± 1.62, p = 0.090) and radiodensity (-71.22 ± 3.91 vs. -68.20 ± 5.98, p = 0.059) between the AC-T and AC-TH groups. Similarly, at T1, there was still no significant difference observed in the EAT volume index (-5.11 ± 1.85 vs. 4.53 ± 1.61, p = 0.308) and radiodensity (-72.95 ± 5.00 vs. -72.54 ± 5.27, p = 0.802) between the two groups.
UNASSIGNED: BC patients who underwent AC-T and AC-TH adjuvant chemotherapy protocols demonstrated a significant rise in the volume index of EAT, along with a substantial reduction in its radiodensity post-chemotherapy. These findings indicate that alterations in EAT could potentially aid in identifying cardiac complications caused by chemotherapeutic agents and remind clinicians to focus on changes in EAT after adjuvant chemotherapy in BC patients to prevent the practical occurrence of CTX.

UNASSIGNED: Preeclampsia (PE) increases the risk of many adverse maternal and fetal outcomes. This study was to investigate the correlation between epicardial adipose tissue (EAT) thickness and PE and birth weight.
UNASSIGNED: This was a single-center retrospective study, 221 patients with PE were selected, and 81 women without hypertension and proteinuria were selected as a comparison. Echocardiogram was performed in their first prenatal examinations at 11-13 gestational weeks, and the thickness of EAT was measured. At the subsequent follow-up, the birth weight was recorded.
UNASSIGNED: EAT thickness was significantly elevated (6.60 ± 1.34 vs. 5.71 ± 1.79 mm, p < 0.001) in severe PE compared to mild PE. In the multivariate analysis, EAT thickness (OR 5.671, 95% CI, 1.991-16.150, p = 0.001), and C reactive protein (OR 4.097, 95% CI, 2.323-7.224, p < 0.001) were found as significant independent predictors of severe PE after adjusting for other risk factors. Linear regression analysis showed that hs-CRP, EAT thickness, and severe PE significantly negatively affected birth weight.
UNASSIGNED: EAT thickness can be used to identify pregnant women with severe PE risks and low birth weight. It is an independent risk factor for severe PE but is not a valuable sign of mild PE.

UNASSIGNED: Cushing\'s syndrome (CS) is associated with increased risk for heart failure, which often initially manifests as left ventricular diastolic dysfunction (LVDD). In this study, we aimed to explore the potential risk factors of LVDD in CS by incorporating body composition parameters.
UNASSIGNED: A retrospective study was conducted on patients diagnosed with endogenous CS no less than 18 years old. The control group consisted of healthy individuals who were matched to CS patients in terms of gender, age, and BMI. LIFEx software (version 7.3) was applied to measure epicardial adipose tissue volume (EATV) on non-contrast chest CT, as well as abdominal adipose tissue and skeletal muscle mass at the first lumbar vertebral level. Echocardiography was used to evaluate left ventricular (LV) diastolic function. Body compositions and clinical data were examined in relation to early LVDD.
UNASSIGNED: A total of 86 CS patients and 86 healthy controls were enrolled. EATV was significantly higher in CS patients compared to control subjects (150.33 cm3 [125.67, 189.41] vs 90.55 cm3 [66.80, 119.84], p < 0.001). CS patients had noticeably increased visceral fat but decreased skeletal muscle in comparison to their healthy counterparts. Higher prevalence of LVDD was found in CS patients based on LV diastolic function evaluated by E/A ratio (p < 0.001). EATV was proved to be an independent risk factor for LVDD in CS patients (OR = 1.015, 95%CI 1.003-1.026, p = 0.011). If the cut-point of EATV was set as 139.252 cm3 in CS patients, the diagnostic sensitivity and specificity of LVDD were 84.00% and 55.60%, respectively.
UNASSIGNED: CS was associated with marked accumulation of EAT and visceral fat, reduced skeletal muscle mass, and increased prevalence of LVDD. EATV was an independent risk factor for LVDD, suggesting the potential role of EAT in the development of LVDD in CS.
This study explored the potential risk factors of LVDD in endogenous CS by incorporating body composition parameters. EATV was identified as an independent risk factor for LVDD. Targeted therapeutic interventions to reduce excessive cortisol-induced EAT accumulation may be promising to mitigate the risk of LVDD development in patients with CS.

BACKGROUND: Heart failure (HF) with improved ejection fraction (EF, HFimpEF) is a distinct HF subtype, characterized by left ventricular (LV) reverse remodeling and myocardial functional recovery. Multiple cardiometabolic factors are implicated in this process. Epicardial adipose tissue (EAT), emerging as an endocrine and paracrine organ, contributes to the onset and progression of HF. However, the relation between EAT and the incidence of HFimpEF is still unclear.
METHODS: A total of 203 hospitalized HF patients with reduced EF (HFrEF, LVEF ≤ 40%) who underwent coronary CT angiography (CCTA) during index hospitalization were consecutively enrolled between November 2011 and December 2022. Routine follow-up and repeat echocardiograms were performed. The incidence of HFimpEF was defined as (1) an absolute LVEF improvement ≥ 10% and (2) a second LVEF > 40% (at least 3 months apart). EAT volume and density were semiautomatically quantified on non-enhanced series of CCTA scans.
RESULTS: During a median follow-up of 8.6 (4.9 ~ 13.3) months, 104 (51.2%) patients developed HFimpEF. Compared with HFrEF patients, HFimpEF patients had lower EAT volume (115.36 [IQR 87.08 ~ 154.78] mL vs. 169.67 [IQR 137.22 ~ 218.89] mL, P < 0.001) and higher EAT density (-74.92 ± 6.84 HU vs. -78.76 ± 6.28 HU, P < 0.001). Multivariate analysis showed lower EAT volume (OR: 0.885 [95%CI 0.822 ~ 0.947]) and higher density (OR: 1.845 [95%CI 1.023 ~ 3.437]) were both independently associated with the incidence of HFimpEF. Subgroup analysis revealed that the association between EAT properties and HFimpEF was not modified by HF etiology.
CONCLUSIONS: This study reveals that lower EAT volume and higher EAT density are associated with development of HFimpEF. Therapies targeted at reducing EAT quantity and improving its quality might provide favorable effects on myocardial recovery in HF patients.

UNASSIGNED: Epicardial adipose tissue, exosomes, and miRNAs have important activities in atherosclerosis. The purpose of this study was to establish miRNA expression profiles of epicardial adipose tissue-derived exosomes in patients with coronary atherosclerosis.
UNASSIGNED: Biopsies of epicardial adipose tissue were obtained from patients with and without coronary artery disease (CAD, n = 12 and NCAD, n = 12) during elective open-heart surgeries. Tissue was incubated with DMEM-F12 for 24 hours. Exosomes were isolated, then nanoparticle tracking analysis, transmission electron microscopy, and immunoblotting were performed to confirm the existence of exosomes. Total RNA in exosomes was subjected to high-throughput sequencing to identify differentially expressed miRNAs. MicroRNA target gene prediction was performed, and target genes were analyzed by Gene Ontology (GO), the Kyoto Encyclopedia of Genes and Genomes (KEGG), and mirPath to identify function. Reverse transcription quantitative PCR was performed to confirm the differentially expressed miRNAs.
UNASSIGNED: Fifty-three unique miRNAs were identified (adjusted p < 0.05, fold of change > 2), among which 32 miRNAs were upregulated and 21 miRNAs were downregulated in coronary artery disease patients. Reverse transcription quantitative PCR validated the results for seven miRNAs including miR-141-3p, miR-183-5p, miR-200a-5p, miR-205-5p, miR-429, miR-382-5p and miR-485-3p, with the last two downregulated. GO and KEGG analysis by mirPath indicated that these differentially expressed miRNAs were enriched in cell survival, apoptosis, proliferation, and differentiation.
UNASSIGNED: Coronary artery disease patients showed differential epicardial adipose tissue exosomal miRNA expression compared with patients without coronary artery disease. The results provide clues for further studies of mechanisms of atherosclerosis.

UNASSIGNED: Epicardial adipose tissue (EAT) thickness is an independent predictor for the recurrence of premature ventricular beats after ablation. However, it is unclear whether EAT volume is associated with the recurrence of idiopathic ventricular tachycardia (IVT) following ablation. This study sought to investigate the association between EAT volume and IVT recurrence following radiofrequency ablation for IVT patients.
UNASSIGNED: This retrospective study included 69 IVT patients undergoing computed tomography examination before ablation who underwent their first catheter ablation between 2017 and 2021. The predictive value of EAT volume for IVT recurrence following ablation was assessed.
UNASSIGNED: During the follow-up period (median: 540 days; range: 253-929 days), 26.1% (18/69) of the patients experienced IVT recurrence. The cut-off point of EAT volume for predicting IVT recurrence was 160.30 mL, and the area under the curve (AUC) was 0.751 (95% confidence interval (CI): 0.615-0.887) by the receiver operating characteristic curve. Kaplan-Meier analysis showed that patients with larger EAT volumes had higher cumulative rates of IVT recurrence. Multivariable analysis also revealed that EAT volume (per 10 mL increase; hazard ratio (HR): 1.16, 95% CI: 1.03-1.32, p = 0.018) was independently associated with IVT recurrence. Furthermore, patients with an epicardial site of IVT had a significantly larger EAT volume than IVT patients with non-epicardial origins.
UNASSIGNED: A larger EAT volume may be associated with IVT recurrence after catheter ablation. EAT volume may be helpful for risk stratification in patients undergoing IVT ablation.

UNASSIGNED: Recent studies have shown that epicardial adipose tissue (EAT) is an independent atrial fibrillation (AF) prognostic marker and has influence on the myocardial function. In computed tomography (CT), EAT volume (EATv) and density (EATd) are parameters that are often used to quantify EAT. While increased EATv has been found to correlate with the prevalence and the recurrence of AF after ablation therapy, higher EATd correlates with inflammation due to arrest of lipid maturation and with high risk of plaque presence and plaque progression. Automation of the quantification task diminishes the variability in readings introduced by different observers in manual quantification and results in high reproducibility of studies and less time-consuming analysis. Our objective is to develop a fully automated quantification of EATv and EATd using a deep learning (DL) framework.
UNASSIGNED: We proposed a framework that consists of image classification and segmentation DL models and performs the task of selecting images with EAT from all the CT images acquired for a patient, and the task of segmenting the EAT from the output images of the preceding task. EATv and EATd are estimated using the segmentation masks to define the region of interest. For our experiments, a 300-patient dataset was divided into two subsets, each consisting of 150 patients: Dataset 1 (41,979 CT slices) for training the DL models, and Dataset 2 (36,428 CT slices) for evaluating the quantification of EATv and EATd.
UNASSIGNED: The classification model achieved accuracies of 98% for precision, recall and F 1 scores, and the segmentation model achieved accuracies in terms of mean ( ± std.) and median dice similarity coefficient scores of 0.844 ( ± 0.19) and 0.84, respectively. Using the evaluation set (Dataset 2), our approach resulted in a Pearson correlation coefficient of 0.971 ( R 2 = 0.943) between the label and predicted EATv, and the correlation coefficient of 0.972 ( R 2 = 0.945) between the label and predicted EATd.
UNASSIGNED: We proposed a framework that provides a fast and robust strategy for accurate EAT segmentation, and volume (EATv) and attenuation (EATd) quantification tasks. The framework will be useful to clinicians and other practitioners for carrying out reproducible EAT quantification at patient level or for large cohorts and high-throughput projects.