Imperial College London


Faculty of MedicineDepartment of Surgery & Cancer

Honorary Research Associate



+44 (0)20 7594 2838kyrillos.georgiadis-adesina06




310Sir Alexander Fleming BuildingSouth Kensington Campus





I am currently a Honorary Research Associate within the Department of Surgery and Cancer, working under Prof Alun Davies and Prof Elaine holmes

My research is based upon Metabonomic techniques, and aims to create robust metabolic models of vascular disease, with the aim of stratifying patients into responder groups and identifying the mechanisms underlying the observed diferences. Furthermore a secondary aim will be the application of new methodologies for the integration of these models into a global systems biology framework.  

During my PhD I worked under the supervision of Prof Jeremy K Nicholson, Prof Elaine holmes and Prof Ian D Wilson, where my research involved the investigation of the interactions between host and gut microorganism, towards the better understanding of how these effect metabolism and, by consequence, human health. 

I previously untertook a Masters in Human Genetics, where my research project was in the Genetics of Metabolic profiles collected from Cardiometabolic Syndrome patients in a Lebanese population, under the supervision of Dr Marc E Dumas. My Undergraduate Degree was in Biological Science and my Dissertation was in Marine Microbiology. All my higher education has been undertaken at Imperial College.

Selected Publications

Journal Articles

Anwar MA, Adesina-Georgiadis KN, Spagou K, et al., 2017, A comprehensive characterisation of the metabolic profile of varicose veins; implications in elaborating plausible cellular pathways for disease pathogenesis, Scientific Reports, Vol:7, ISSN:2045-2322

Anwar MA, Vorkas PA, Li J, et al., 2016, Prolonged Mechanical Circumferential Stretch Induces Metabolic Changes in Rat Inferior Vena Cava, European Journal of Vascular and Endovascular Surgery, Vol:52, ISSN:1078-5884, Pages:544-552

Gray N, Adesina-Georgiadis K, Chekmeneva E, et al., 2016, Development of a Rapid Microbore Metabolic Profiling (RAMMP) UPLC-MS Approach for High-Throughput Phenotyping Studies., Analytical Chemistry, Vol:88, ISSN:0003-2700, Pages:5742-5751

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