Epicardial adipose tissue, metabolic disorders, and cardiovascular diseases: recent advances classified by research methodologies

Song, Yujie; Tan, Yanzhen; Deng, Meng; Shan, Wenju; Zheng, Wenying; Zhang, Bing; Cui, Jun; Feng, Lele; Shi, Lei; Zhang, Miao; Liu, Yingying; Sun, Yang; Yi, Wei

doi:10.1002/mco2.413

Cited by 7 publications

(1 citation statement)

References 232 publications

(465 reference statements)

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“…The potential role of EAT as a source of stem cells, as well as imaging assessment, was also described. Due to its unique structure and features, the role of EAT has drawn researchers' attention in terms of metabolic and cardiovascular (CV) disorders [15], including coronary artery disease (CAD) [16,17], heart failure (HF) [18], or atrial fibrillation (AF) [19]. Most research concerns the relationship between adipose tissue and atherosclerosis.…”

Section: Introductionmentioning

confidence: 99%

The Role of Epicardial Adipose Tissue in Acute Coronary Syndromes, Post-Infarct Remodeling and Cardiac Regeneration

Krauz,

Kempiński,

Jańczak

et al. 2024

IJMS

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Epicardial adipose tissue (EAT) is a fat deposit surrounding the heart and located under the visceral layer of the pericardium. Due to its unique features, the contribution of EAT to the pathogenesis of cardiovascular and metabolic disorders is extensively studied. Especially, EAT can be associated with the onset and development of coronary artery disease, myocardial infarction and post-infarct heart failure which all are significant problems for public health. In this article, we focus on the mechanisms of how EAT impacts acute coronary syndromes. Particular emphasis was placed on the role of inflammation and adipokines secreted by EAT. Moreover, we present how EAT affects the remodeling of the heart following myocardial infarction. We further review the role of EAT as a source of stem cells for cardiac regeneration. In addition, we describe the imaging assessment of EAT, its prognostic value, and its correlation with the clinical characteristics of patients.

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Section: Introductionmentioning

confidence: 99%

The Role of Epicardial Adipose Tissue in Acute Coronary Syndromes, Post-Infarct Remodeling and Cardiac Regeneration

Krauz,

Kempiński,

Jańczak

et al. 2024

IJMS

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Tessuto adiposo epicardico: dagli aspetti biomolecolari alla pratica clinica

Malavazos,

Dubini,

Meregalli

et al. 2024

L'Endocrinologo

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SommarioIl tessuto adiposo epicardico (EAT) è un fattore di rischio cardiovascolare in quanto promuove la progressione della fibrillazione atriale, della malattia coronarica e dell’insufficienza cardiaca. EAT si caratterizza per rapido metabolismo, misurabilità clinica e facile modificabilità e rappresenta un bersaglio terapeutico peculiare per farmaci innovativi, quali gli agonisti del recettore del peptide glucagone-simile 1 e gli inibitori del co-trasportatore sodio-glucosio 2, che appaiono salutari dal punto di vista cardiometabolico ben oltre i loro effetti sul glucosio e sul peso corporeo (Materiale Supplementare).

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UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features for Preventive, Personalized and Precision Medicine: A Narrative Review

Saba,

Maindarkar,

Johri

et al. 2024

Rev. Cardiovasc. Med.

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Cardiovascular disease (CVD) diagnosis and treatment are challenging since symptoms appear late in the disease’s progression. Despite clinical risk scores, cardiac event prediction is inadequate, and many at-risk patients are not adequately categorised by conventional risk factors alone. Integrating genomic-based biomarkers (GBBM), specifically those found in plasma and/or serum samples, along with novel non-invasive radiomic-based biomarkers (RBBM) such as plaque area and plaque burden can improve the overall specificity of CVD risk. This review proposes two hypotheses: (i) RBBM and GBBM biomarkers have a strong correlation and can be used to detect the severity of CVD and stroke precisely, and (ii) introduces a proposed artificial intelligence (AI)—based preventive, precision, and personalized ( ) CVD/Stroke risk model. The PRISMA search selected 246 studies for the CVD/Stroke risk. It showed that using the RBBM and GBBM biomarkers, deep learning (DL) modelscould be used for CVD/Stroke risk stratification in the framework. Furthermore, we present a concise overview of platelet function, complete blood count (CBC), and diagnostic methods. As part of the AI paradigm, we discuss explainability, pruning, bias, and benchmarking against previous studies and their potential impacts. The review proposes the integration of RBBM and GBBM, an innovative solution streamlined in the DL paradigm for predicting CVD/Stroke risk in the framework. The combination of RBBM and GBBM introduces a powerful CVD/Stroke risk assessment paradigm. model signifies a promising advancement in CVD/Stroke risk assessment.

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Epicardial adipose tissue, metabolic disorders, and cardiovascular diseases: recent advances classified by research methodologies

Cited by 7 publications

References 232 publications

The Role of Epicardial Adipose Tissue in Acute Coronary Syndromes, Post-Infarct Remodeling and Cardiac Regeneration

The Role of Epicardial Adipose Tissue in Acute Coronary Syndromes, Post-Infarct Remodeling and Cardiac Regeneration

Tessuto adiposo epicardico: dagli aspetti biomolecolari alla pratica clinica

UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features for Preventive, Personalized and Precision Medicine: A Narrative Review

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