Burrello J, Bianco G, Burrello A, et al. - Systematic testing of extracellular vesicles (EVs) as biomarkers in patients with transient ischemic attacks (TIAs) led researchers to propose an algorithm based on an EV-surface-antigen specific signature that might facilitate the identification of TIA.

• Patients with very likely or possible-probable TIA had increased EV concentration.

• Nanoparticle concentration and the Precise Diagnostic score were directly correlated.

• After EV immuno-capturing, individuals with symptoms suspicious for TIA and healthy controls were identified to differ in terms of CD8, CD2, CD62P, melanoma-associated chondroitin sulfate proteoglycan, CD42a, CD44, CD326, CD142, CD31, and CD14.

• In the training and external validation cohort, a random forest model created by combining the expression levels of selected markers attained an accuracy of 96% and 78.9% for differentiating patients with a very likely TIA, respectively.