Over the last decade and a half there has been much interest in understanding the role of epicardial adipose tissue (EAT) in cardiac pathology. EAT is a visceral adipose deposit with putative paracrine function. In the nondiseased state, EAT releases cardioprotective cytokines and chemokines to the coronary vasculature. In pathological states, EAT releases an inflammatory cytokine profile that is believed to contribute to the development and progression of coronary artery disease (CAD). EAT imaging with echocardiography, computed tomography, and magnetic resonance imaging has demonstrated a correlation between EAT size and CAD. Small interventional studies have found evidence that the pathological state of EAT is at least somewhat reversible. The relationship between EAT size and the development and/or progression of CAD may present future clinicians with a new tool for risk assessment and intervention response monitoring. In this article we review current basic science and clinical research, comment on the role of EAT imaging in the management of patients at risk for CAD, and suggest areas for future investigation.
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http://dx.doi.org/10.1097/CRD.0000000000000153 | DOI Listing |
Eur Heart J Cardiovasc Imaging
January 2025
Sorbonne Université, unité d'imagerie cardiovasculaire et thoracique, Hôpital La Pitié Salpêtrière (AP-HP), Laboratoire d'Imagerie Biomédicale, INSERM, CNRS, Institute of Cardiometabolism and Nutrition, ACTION Group, Paris, France.
Purpose: Epicardial adipose tissue (EAT) could contribute to the specific atherosclerosis profile observed in premature coronary artery disease (pCAD) characterized by accelerated plaque burden (calcified and non-calcified), high risk plaque features (HRP) and ischemic recurrence. Our aims were to describe EAT volume and density in pCAD compared to asymptomatic individuals matched on CV risk factors and to study their relationship with coronary plaque severity extension and vulnerability.
Materials And Methods: 208 patients who underwent coronary computed tomography angiography (CCTA) were analyzed.
Front Endocrinol (Lausanne)
January 2025
Department of Gastrointestinal Surgery, General Surgery, Xichang People's Hospital, Xichang, China.
Thyroid function is closely linked to circadian rhythms, but the relationship between the frequency of night eating and thyroid function remains unclear. Our study aimed to investigate the association between night eating frequency and its impact on thyroid function and sensitivity. This study included 6093 participants from the U.
View Article and Find Full Text PDFInt J Eat Disord
January 2025
Department of Human Development and Family Sciences, University of Connecticut, Storrs, Connecticut, USA.
Objective: Prior work has documented inequities in disordered eating behavior (DEB) prevalence across gender identity, race, and ethnicity, yet has often ignored the fact that individuals belong to multiple social groups simultaneously. The present study assessed DEB inequities at the intersection of gender identity and race/ethnicity.
Method: The sample included n = 10,287 adolescents (68% gender-diverse, 33% belonging to marginalized racial/ethnic groups).
Int J Eat Disord
January 2025
Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark.
Objective: This study investigates the overall pattern and timing of medical diagnoses up to 10 years before an anorexia nervosa (AN) diagnosis and explores differences before and after AN diagnosis aiming to improve early detection.
Method: In this nationwide population-based cohort study, we included all patients diagnosed with incident AN from 1987 to 2018 (n = 13,345) and a 1:10 age- and sex-matched general population comparison cohort, using Danish health registries. Using conditional logistic regression, we calculated odds ratios (ORs) of medical diagnoses up to 10 years before AN diagnosis.
J Eat Disord
January 2025
Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, 701401, Taiwan.
Background: Weight stigma is pervasive, and it has a significant impact on the social, physical, and psychological health of an individual. Weight stigma is observed from several different sources. Therefore, the present study developed and validated a new instrument, the Weight Stigma Exposure Inventory (WeSEI), to assess different sources of observed weight stigma across interpersonal and non-interpersonal sources.
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