Fig. 1: Exosome subpopulation alteration in SCZ patients.

A Exosome subpopulations from plasma samples of both SCZ patients and healthy donors were determined via the FlowSOM algorithm, an unsupervised machine learning process. Thirteen subpopulations were shown in t-distributed stochastic neighbor embedding (t-SNE) plot. B Proteomic biomarkers of each subpopulation were shown in heatmap. C The distribution of exosomes among each subpopulation was displayed for each sample group, including HC, RES and NRES groups. D t-SNE plot for each sample with group information. E, F Cluster 11 and 12 featured expressing PECAM1, ITGA6 and ITGB3 increased significantly in SCZ group, furthermore, cluster 12 increased in NRES group compared to RES. Data represent the mean ± SD, Statistical analyses were performed using the t test, n = 10 for HC, RES and NRES, n = 20 for SCZ. *P < 0.05; **P < 0.01.