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动脉粥样硬化斑块和血管周围脂肪组织的表型分析:动脉粥样硬化中的信号通路和临床生物标志物

Phenotyping atherosclerotic plaque and perivascular adipose tissue: signalling pathways and clinical biomarkers in atherosclerosis.

作者信息

Grodecki Kajetan, Geers Jolien, Kwiecinski Jacek, Lin Andrew, Slipczuk Leandro, Slomka Piotr J, Dweck Marc R, Nerlekar Nitesh, Williams Michelle C, Berman Daniel, Marwick Thomas, Newby David E, Dey Damini

机构信息

Department of Biomedical Sciences, and Department of Medicine, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA, USA.

1st Department of Cardiology, Medical University of Warsaw, Warsaw, Poland.

出版信息

Nat Rev Cardiol. 2025 Jun;22(6):443-455. doi: 10.1038/s41569-024-01110-1. Epub 2025 Jan 2.

Abstract

Computed tomography coronary angiography provides a non-invasive evaluation of coronary artery disease that includes phenotyping of atherosclerotic plaques and the surrounding perivascular adipose tissue (PVAT). Image analysis techniques have been developed to quantify atherosclerotic plaque burden and morphology as well as the associated PVAT attenuation, and emerging radiomic approaches can add further contextual information. PVAT attenuation might provide a novel measure of vascular health that could be indicative of the pathogenetic processes implicated in atherosclerosis such as inflammation, fibrosis or increased vascularity. Bidirectional signalling between the coronary artery and adjacent PVAT has been hypothesized to contribute to coronary artery disease progression and provide a potential novel measure of the risk of future cardiovascular events. However, despite the development of more advanced radiomic and artificial intelligence-based algorithms, studies involving large datasets suggest that the measurement of PVAT attenuation contributes only modest additional predictive discrimination to standard cardiovascular risk scores. In this Review, we explore the pathobiology of coronary atherosclerotic plaques and PVAT, describe their phenotyping with computed tomography coronary angiography, and discuss potential future applications in clinical risk prediction and patient management.

摘要

计算机断层扫描冠状动脉造影术可对冠状动脉疾病进行无创评估,包括对动脉粥样硬化斑块及其周围血管周围脂肪组织(PVAT)进行表型分析。已经开发出图像分析技术来量化动脉粥样硬化斑块的负担和形态以及相关的PVAT衰减,新兴的放射组学方法可以提供更多的背景信息。PVAT衰减可能提供一种新的血管健康指标,这可能表明动脉粥样硬化涉及的发病机制,如炎症、纤维化或血管增多。冠状动脉与相邻PVAT之间的双向信号传导被认为会促进冠状动脉疾病的进展,并提供一种潜在的未来心血管事件风险的新指标。然而,尽管开发了更先进的放射组学和基于人工智能的算法,但涉及大型数据集的研究表明,PVAT衰减的测量对标准心血管风险评分的额外预测辨别力仅为中等程度。在本综述中,我们探讨冠状动脉粥样硬化斑块和PVAT的病理生物学,描述通过计算机断层扫描冠状动脉造影对它们进行的表型分析,并讨论其在临床风险预测和患者管理中的潜在未来应用。

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