Detecting human coronary inflammation by imaging perivascular fat

Antonopoulos, Alexios S.; Sanna, Fabio; Sabharwal, Nikant; Thomas, Sheena; Oikonomou, Evangelos K.; Herdman, L; Margaritis, Marios; Shirodaria, Cheerag; Kampoli, Anna–Maria; Akoumianakis, Ioannis; Petrou, Mario; Sayeed, Rana; Krasopoulos, George; Psarros, Constantinos; Ciccone, Patricia; Brophy, Carl; Digby, Janet E.; Kelion, Andrew; Uberoi, Raman; Anthony, S.; Alexopoulos, Nikolaos; Tousoulis, Dimitris; Achenbach, Stephan; Neubauer, Stefan; Channon, Keith M.; Antoniades, Charalambos

doi:10.1126/scitranslmed.aal2658

articleScience Translational MedicineJul 12, 2017Closed access

Detecting human coronary inflammation by imaging perivascular fat

ASAlexios S. Antonopoulos FSFabio Sanna NSNikant Sabharwal STSheena Thomas EKEvangelos K. Oikonomou

University of Oxford · Oxford Health NHS Foundation Trust · +4 more institutions

PubMed

Indexed incrossrefpubmed

Abstract

Early detection of vascular inflammation would allow deployment of targeted strategies for the prevention or treatment of multiple disease states. Because vascular inflammation is not detectable with commonly used imaging modalities, we hypothesized that phenotypic changes in perivascular adipose tissue (PVAT) induced by vascular inflammation could be quantified using a new computerized tomography (CT) angiography methodology. We show that inflamed human vessels release cytokines that prevent lipid accumulation in PVAT-derived preadipocytes in vitro, ex vivo, and in vivo. We developed a three-dimensional PVAT analysis method and studied CT images of human adipose tissue explants from 453 patients undergoing…

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1,019

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Percentile: 100%
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26

Topics & keywords

Topics

Keywords

Inflammation
Medicine
Pathology
Coronary atherosclerosis
Cardiology
Internal medicine
Coronary heart disease

UN Sustainable Development Goals

Good health and well-being

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