Contact information
Colleges
Christos P. Kotanidis
MD MSc DPhil
Research Associate
My research focuses on investigating the molecular and imaging phenotype of the human vessels and adipose tissue, in order to advance understanding of the predisposition to cardiovascular disease and to possibly produce novel predictors of cardiovascular events. Work from our group has identified vascular oxidative stress and inflammation as key players in atherosclerosis development and progression. Furthermore, we have shown that vascular inflammation can be reflected in changes in the adipose tissue surrounding the vascular wall. These changes can be identified by a novel computed tomography (CT) imaging tool, developed and validated by our lab. My project involves the validation of the predictive value of markers of oxidative stress in death and major adverse cardiovascular events, as well as the development of new CT imaging biomarkers for predicting cardiovascular oxidative stress and disease.
Key publications
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Invasive vs. conservative management of older patients with non-ST-elevation acute coronary syndrome: individual patient data meta-analysis
Kotanidis CP. et al, (2024), European Heart Journal, 45, 2052 - 2062
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Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19.
Kotanidis CP. et al, (2022), Lancet Digit Health, 4, e705 - e716
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Inflammatory risk and cardiovascular events in patients without obstructive coronary artery disease: the ORFAN multicentre, longitudinal cohort study.
Chan K. et al, (2024), Lancet, 403, 2606 - 2618
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Selfies in cardiovascular medicine: welcome to a new era of medical diagnostics.
Kotanidis CP. and Antoniades C., (2020), Eur Heart J, 41, 4412 - 4414
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A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.
Oikonomou EK. et al, (2019), Eur Heart J, 40, 3529 - 3543
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Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome data.
Oikonomou EK. et al, (2018), Lancet, 392, 929 - 939