Small extracellular vesicles (sEV) hold enormous potential as biomarkers, drug carriers, and therapeutic agents. However, due to previous limitations in the phenotypic characterization of sEV at the single vesicle level, knowledge of cell type-specific sEV signatures remains sparse. With the introduction of next-generation sEV analysis devices, such as the single-particle interferometric reflectance imaging sensor (SP-IRIS)-based ExoView R100 platform, single sEV analyses are now possible. While the tetraspanins CD9, CD63, and CD81 were generally considered pan-sEV markers, it became clear that sEV of different cell types contain several combinations and amounts of these proteins on their surfaces. To gain better insight into the complexity and heterogeneity of sEV, we used the ExoView R100 platform to analyze the CD9/CD63/CD81 phenotype of sEV released by different cell types at a single sEV level. We demonstrated that these surface markers are sufficient to distinguish cell-type-specific sEV phenotypes. Furthermore, we recognized that tetraspanin composition in some sEV populations does not follow a random pattern. Notably, the tetraspanin distribution of sEV derived from mesenchymal stem cells (MSCs) alters depending on cell culture conditions. Overall, our data provide an overview of the cell-specific characteristics of sEV populations, which will increase the understanding of sEV physiology and improve the development of new sEV-based therapeutic approaches.

Background and Purpose: Small extracellular vesicles (sEVs) obtained from mesenchymal stromal cells (MSCs) were shown to induce ischemic neuroprotection in mice by modulating the brain infiltration of leukocytes and, specifically polymorphonuclear neutrophils. So far, effects of MSC-sEVs were only studied in young ischemic rodents. We herein examined the effects of MSC-sEVs in aged mice. Methods: Male and female C57Bl6/j mice (8–10 weeks or 15–24 months) were exposed to transient intraluminal middle cerebral artery occlusion. Vehicle or sEVs (equivalent of 2×10 ⁶ MSCs) were intravenously administered. Neurological deficits, ischemic injury, blood-brain barrier integrity, brain leukocyte infiltration, and blood leukocyte responses were evaluated over up to 7 days. Results: MSC-sEV delivery reduced neurological deficits, infarct volume, brain edema, and neuronal injury in young and aged mice of both sexes, when delivered immediately postreperfusion or with 6 hours delay. MSC-sEVs decreased leukocyte and specifically polymorphonuclear neutrophil, monocyte, and macrophage infiltrates in ischemic brains of aged mice. In peripheral blood, the number of monocytes and activated T cells was significantly reduced by MSC-sEVs. Conclusions: MSC-sEVs induce postischemic neuroprotection and anti-inflammation in aged mice.

Mesenchymal stromal cells (MSCs) are promising regenerative therapeutics that primarily exert their effects through secreted extracellular vesicles (EVs). These EVs – being small and non‐living – are easier to handle and possess advantages over cellular products. Consequently, the therapeutic potential of MSC‐EVs is increasingly investigated. However, due to variations in MSC‐EV manufacturing strategies, MSC‐EV products should be considered as highly diverse. Moreover, the diverse array of EV characterisation technologies used for MSC‐EV characterisation further complicates reliable interlaboratory comparisons of published data. Consequently, this study aimed to establish a common method that can easily be used by various MSC‐EV researchers to characterise MSC‐EV preparations to facilitate interlaboratory comparisons. To this end, we conducted a comprehensive inter‐laboratory assessment using a novel multiplex bead‐based EV flow cytometry assay panel. This assessment involved 11 different MSC‐EV products from five laboratories with varying MSC sources, culture conditions, and EV preparation methods. Through this assay panel covering a range of mostly MSC‐related markers, we identified a set of cell surface markers consistently positive (CD44, CD73 and CD105) or negative (CD11b, CD45 and CD197) on EVs of all explored MSC‐EV preparations. Hierarchical clustering analysis revealed distinct surface marker profiles associated with specific preparation processes and laboratory conditions. We propose CD73, CD105 and CD44 as robust positive markers for minimally identifying MSC‐derived EVs and CD11b, CD14, CD19, CD45 and CD79 as reliable negative markers. Additionally, we highlight the influence of culture medium components, particularly human platelet lysate, on EV surface marker profiles, underscoring the influence of culture conditions on resulting EV products. This standardisable approach for MSC‐EV surface marker profiling offers a tool for routine characterisation of manufactured EV products in pre‐clinical and clinical research, enhances the quality control of MSC‐EV preparations, and hopefully paves the way for higher consistency and reproducibility in the emerging therapeutic MSC‐EV field.

Small extracellular vesicles isolated from urine (uEVs) are increasingly recognized as potential biomarkers. Meanwhile, different uEV preparation strategies exist. Conventionally, the performance of EV preparation methods is evaluated by single particle quantification, Western blot, and electron microscopy. Recently, we introduced imaging flow cytometry (IFCM) as a next-generation single EV analysis technology. Here, we analyzed uEV samples obtained with different preparation procedures using nanoparticle tracking analysis (NTA), semiquantitative Western blot, and IFCM. IFCM analyses demonstrated that urine contains a predominant CD9⁺ sEV population, which exceeds CD63⁺ and CD81⁺ sEV populations. Furthermore, we demonstrated that the storage temperature of urine samples negatively affects the recovery of CD9⁺ sEVs. Although overall reduced, the highest CD9⁺ sEV recovery was obtained from urine samples stored at −80 °C and the lowest from those stored at −20 °C. Upon comparing the yield of the different uEV preparations, incongruencies between NTA and IFCM data became apparent. Results obtained by both NTA and IFCM were consistent with Western blot analyses for EV marker proteins; however, NTA results correlated with the amount of the impurity marker uromodulin. Despite demonstrating that the combination of ultrafiltration and size exclusion chromatography appears as a reliable uEV preparation technique, our data challenge the soundness of traditional NTA for the evaluation of different EV preparation methods.

Despite immense interest in biomarker applications of extracellular vesicles (EVs) from blood, our understanding of circulating EVs under physiological conditions in healthy humans remains limited. Using imaging and multiplex bead‐based flow cytometry, we comprehensively quantified circulating EVs with respect to their cellular origin in a large cohort of healthy blood donors. We assessed coefficients of variations to characterize their biological variation and explored demographic, clinical, and lifestyle factors contributing to observed variation. Cell‐specific circulating EV subsets show a wide range of concentrations that do not correlate with cell‐of‐origin concentrations in blood, suggesting steady‐state EV subset concentrations are regulated by complex mechanisms, which differ even for EV subsets from the same cell type. Interestingly, tetraspanin+ circulating EVs largely originate from platelets and to a lesser extent from lymphocytes. Principal component analysis (PCA) and association analyses demonstrate high biological inter‐individual variation in circulating EVs across healthy humans, which are only partly explained by the influence of sex, menopausal status, age and smoking on specific circulating EV and/or tetraspanin+ circulating EV subsets. No global influence of the explored subject's factors on circulating EVs was detected. Our findings provide the first comprehensive, quantitative data towards the cell‐origin atlas of plasma EVs, with important implications in the clinical use of EVs as biomarkers.