Using proteomics to predict heart disease risk

Atherosclerosis can result in severe outcomes, including heart attack and stroke. The presence of atherosclerotic plaques is one of the first signs of disease; however, there is currently no accurate way to predict which patients are at the highest risk of adverse cardiovascular events. In this episode, Manuel Mayr and colleagues use a proteomic approach to compare extracellular matrix proteins in lesions from asymptomatic and symptomatic patients. Their work identifies a 4-biomarker signature that has potential to improve risk prediction and management of heart disease.