Our Research Members

Mohammad Qadura
Qadura, Mohammad
MD, PhD
U Of T Appointments

Assistant Professor, Division of Vascular Surgery, Department of Surgery, Temerty Faculty of Medicine
Blair Early Career Professor, Division of Vascular Surgery, Department of Surgery, Temerty Faculty of Medicine

Other Appointments

Surgeon, Division of Vascular Surgery, Department of Surgery, St. Michael’s Hospital
Scientist, Li Ka Shing Knowledge Institute, St. Michael’s Hospital

Contact Information
St. Michael's Hospital
30 Bond St.
Toronto, ON M5B 1W8
Phone: 416-864-6047
[email protected]
View website
Diabetes Related Research Activities:

Dr. Mohammad Qadura has been actively involved in diabetes research, particularly focused on identifying novel biomarkers for diabetic complications. His preliminary work has shown promise in finding circulating biomarkers that are differentially expressed in diabetic foot ulcers compared to controls. This could aid in early screening and prognostication of diabetic foot ulcers, which is key to preventing limb amputations. Dr. Qadura aims to file a patent for his research findings, with the hope of commercializing his research.

Previously, he has looked at studies investigating other biomarkers in patients with diabetes. A paper describes his research evaluating fatty acid binding protein 4 (FABP4) levels in diabetic patients with and without peripheral arterial disease (PAD). The study found higher FABP4 levels were associated with presence and severity of PAD in diabetes independent of confounders. It also showed good diagnostic potential for detecting PAD. This adds to evidence that biomarkers linked to inflammation, atherosclerosis and metabolic dysfunction may have clinical utility in assessing vascular complications in diabetes.

Overall, Dr. Qadura’s research aims to identify novel biomarkers that can improve management of diabetes and its micro- and macro-vascular sequalae like diabetic foot ulcers, retinopathy, nephropathy and PAD. His goal is to find clinically useful biomarkers that can enable early detection, prognostication and personalized therapy for diabetic patients. This could significantly improve outcomes and quality of life for the millions suffering from diabetes worldwide.

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