Perivascular adipose tissue as a source of therapeutic targets and clinical biomarkers

医学 脂肪组织 病理 内科学 重症监护医学
作者
Charalambos Antoniades,Dimitris Tousoulis,Marija Vavlukis,Ingrid Fleming,Dirk J. Duncker,Etto C. Eringa,Olivia Manfrini,Alexios Antonopoulos,Evangelos Oikonomou,Teresa Padró,Danijela Trifunović,Giuseppe De Luca,Tomasz J. Guzik,Edina Cenko,Ana Djordjevic‐Dikic,Filippo Crea
出处
期刊:European Heart Journal [Oxford University Press]
卷期号:44 (38): 3827-3844 被引量:193
标识
DOI:10.1093/eurheartj/ehad484
摘要

Obesity is a modifiable cardiovascular risk factor, but adipose tissue (AT) depots in humans are anatomically, histologically, and functionally heterogeneous. For example, visceral AT is a pro-atherogenic secretory AT depot, while subcutaneous AT represents a more classical energy storage depot. Perivascular adipose tissue (PVAT) regulates vascular biology via paracrine cross-talk signals. In this position paper, the state-of-the-art knowledge of various AT depots is reviewed providing a consensus definition of PVAT around the coronary arteries, as the AT surrounding the artery up to a distance from its outer wall equal to the luminal diameter of the artery. Special focus is given to the interactions between PVAT and the vascular wall that render PVAT a potential therapeutic target in cardiovascular diseases. This Clinical Consensus Statement also discusses the role of PVAT as a clinically relevant source of diagnostic and prognostic biomarkers of vascular function, which may guide precision medicine in atherosclerosis, hypertension, heart failure, and other cardiovascular diseases. In this article, its role as a 'biosensor' of vascular inflammation is highlighted with description of recent imaging technologies that visualize PVAT in clinical practice, allowing non-invasive quantification of coronary inflammation and the related residual cardiovascular inflammatory risk, guiding deployment of therapeutic interventions. Finally, the current and future clinical applicability of artificial intelligence and machine learning technologies is reviewed that integrate PVAT information into prognostic models to provide clinically meaningful information in primary and secondary prevention.
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