Of note, since current antiplatelet drugs mainly target the TxA2 and ADP INCB024360 clinical trial pathways, the identification of other pathways modulating on-treatment platelet reactivity in cardiovascular patients could have a major impact on both our understanding of platelet physiology and on the management of platelet hyperreactivity in these high-risk patients. The identification of the modulators of platelet reactivity is of utmost importance since it may define new targets for the prevention of recurrence of ischemic events, and help to tailor antithrombotic therapy according to the characteristics

of each patient. Moreover, the identification of modulators of platelet reactivity may also be of importance in the investigation of patients with mild bleeding disorders [94]. The combination of several omic data sets is a promising approach to having a more global view of the candidate pathways modulating platelet reactivity. Network biology offers the powerful tool necessary for the integration of those data sets of different origins. This is of particular interest when considering phenotypes relying on the study of very fine metabolic modulations in samples presenting biological variability, as human samples do. Furthermore, it allows us to work out the interactions between different

pathways and is thus more representative of the physiological situation. The authors thank the support of the Swiss National Science Foundation (grant No. 320030_144150 to PF). find more “
“Proteomics

is of major interest for the study of blood and blood diseases [1], [2], [3], [4], [5], [6], [7], [8], [9], [10] and [11]. Plasma proteins and their modification in various conditions have been extensively evaluated over the last decades in search of specific biomarkers of human diseases [12], particularly in cancer patients [13] and [14]. Proteomics represents nowadays the technique of choice – if not the gold standard – to characterize amyloidosis in tissue and plasma samples obtained from patients with protein deposition syndromes [15] and [16]. Phosphoglycerate kinase The proteome of many blood cells has been well characterized, especially that of red blood cells (RBCs) and platelets. The interest of applying proteomic technology to such cells is mainly related to the fact that they share a limited capacity to synthesize new proteins. In this context, there is a rising value of proteomics compared to genomics and it is not surprising that it has also proved effective in determining the protein content of extracellular vesicles (EVS). Release of membrane vesicles, a process conserved in both prokaryotes and eukaryotes, represents an evolutionary link, and suggests essential functions of this dynamic vesicular compartment [17]. Recent studies provided support for the concept of EVS as vectors for the intercellular exchange of biological signals and information [18].