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Our group studies the interplay between adipose tissue and the cardiovascular system. Using translational approaches, we develop novel diagnostic tools for the early detection of cardiovascular diseases and risk stratification. We also work towards the discovery of new therapeutic targets for the prevention and treatment of cardiovascular diseases, in the context of obesity and diabetes.

Selection of images from Antoniades' Group

There are three main bodies of research undertaken by our group:

Studying the interplay between adipose tissue and the cardiovascular system

Adipose tissue is now considered to be a ‘biochemical factory’ in the human body, producing a wide range of bioactive molecules, such as adipokines and adipocytokines. These molecules exert local autocrine effects, but they also have paracrine and endocrine properties, playing a critical role in cardiovascular disease pathogenesis. Our group studies the mechanisms by which different adipose tissue depots in the human body affect vascular and myocardial disease pathogenesis, with specific focus on changes in redox-sensitive inflammatory mechanisms. Read more

Translational Research in the group

Our group undertakes translational research, moving from bench to bedside and vice versa. We have established one of the world’s most extensively phenotyped cohorts of patients undergoing cardiac surgery, The Oxford Heart Vessels & Fat (ox-HVF) cohort. The cohort includes more than 1500 patients undergoing cardiac surgery, who have been extensively phenotyped preoperatively using non-invasive imaging. Read more

The Oxford Cardiovascular Computed Tomography Programme

Since 2015, the group runs the Oxford Cardiovascular Computed Tomography Programme, in partnership with the Manor Hospital and Oxford University Hospitals NHS Foundation Trust, supporting the use of state-of-the-art cardiovascular CT imaging by groups within the University of Oxford. The programme includes translational cardiovascular CT imaging, supported by expertise in Artificial Intelligence and machine learning. The Oxford Academic Cardiovascular CT (OXACCT) core lab operates within the programme, and provides state-of-the-art advanced cardiovascular CT image analysis services, to academic and industrial studies.  Read more

Our team

Reuters coverage of Professor Antoniades work

Professor Antoniades group has developed a new method for analysing CT scan images can predict who is at risk of a heart attack - years before it happens.

Selected publications

Coronary inflammation and cardiovascular risk in breast cancer after radiotherapy.

Journal article

Kotanidis CP. et al, (2025), Eur Heart J, 46, 2924 - 2927

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

Journal article

Antoniades C. et al, (2023), Eur Heart J, 44, 3827 - 3844

Imaging residual inflammatory cardiovascular risk.

Journal article

Antoniades C. et al, (2020), Eur Heart J, 41, 748 - 758

Direct effects of canagliflozin on human myocardial redox signalling: a novel role for SGLT1 inhibition

Conference paper

Kondo H. et al, (2020), EUROPEAN HEART JOURNAL, 41, 3351 - 3351

Real world cost and health outcomes of patients presented with chest pain in England: which is the most cost-effective first-line test?

Conference paper

Tsiachristas A. et al, (2020), EUROPEAN HEART JOURNAL, 41, 3547 - 3547

The role of adipose tissue in cardiovascular health and disease.

Journal article

Oikonomou EK. and Antoniades C., (2019), Nat Rev Cardiol, 16, 83 - 99

Detecting human coronary inflammation by imaging perivascular fat.

Journal article

Antonopoulos AS. et al, (2017), Sci Transl Med, 9

Mutual Regulation of Epicardial Adipose Tissue and Myocardial Redox State by PPAR-γ/Adiponectin Signalling.

Journal article

Antonopoulos AS. et al, (2016), Circ Res, 118, 842 - 855

Free full text for selected papers:

Adipose tissue–derived WNT5A regulates vascular redox signaling in obesity via USP17/RAC1-mediated activation of NADPH oxidases:

The year in cardiovascular medicine 2020: digital health and innovation