Identifying 13 biomarkers to enhance prediction accuracy of cardiovascular diseases (CVD) in individuals with diabetes

The impact of diabetes on global health is substantial, with 500 million people affected worldwide. This major international collaborative study has identified 13 biomarkers that significantly improve the ability to accurately predict cardiovascular disease (CVD) risk in people with diabetes. These biomarkers enable clinicians to provide targeted advice and treatment to individuals with diabetes who are at the highest risk of developing CVD, and the findings will potentially change the clinical practice.

Anyone interested in future collaboration in this field of research is welcome to contact our key investigator Prof. Ronald MA, Head of Division of Endocrinology and Diabetes in the Department of Medicine and Therapeutics. Prof. Ma’s research focuses on epidemiology and genetics of diabetes and diabetic complications, gestational diabetes and developmental origins of adult diseases, polycystic ovary syndrome.