Proteomic strategies in the search of new biomarkers in atherothrombosis

Abstract

Extensive research has focused on the identification of novel plasma biomarkers to improve our ability to predict cardiovascular events in atherothrombosis. However, classical techniques can only assess a limited number of proteins at a time. Given that plasma contains more than 900,000 proteins, this approach will be extremely time-consuming. Novel proteomic approaches make it possible to compare the expression of hundreds of proteins in several samples in a single experiment. The classical approach consists of separation of proteins on a 2-dimensional gel followed by protein identification with mass spectrometry, although new complementary gel-free techniques are emerging. We can thus compare protein expression in an atherosclerotic plaque with that in a normal artery or study plasma proteins in patients with atherothrombosis as compared with healthy subjects. For such approaches, it is not necessary to study the published data to select potential biomarkers. However, because the number of patients that can be studied with most of these techniques is limited, what is really important is the design of the studies, assessing carefully what kind of patients should be included to obtain valid conclusions. Clinicians should thus play a key role in this design along with the basic scientist. In this article, we review several proteomic strategies carried out by our group and others, and we make a call for collaboration between clinicians and experts in proteomics. This collaboration could greatly increase the likelihood of identifying new prognostic biomarker panels in atherothrombosis and other cardiovascular disorders.