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Extracellular vesicles (EVs) are important participants in numerous pathophysiological processes, and could be used as valuable biomarkers to detect and monitor various diseases. However, facile EV isolation methods are the essential and preliminary issue for their downstream analysis and function investigation. In this work, a polyhedral oligomeric silsesquioxanes (POSS) based hybrid monolith combined metal affinity chromatography (MAC) and distearoyl phospholipid ethanolamine (DSPE) function was developed via photo-initiated thiol-ene polymerization. This synthesis process was facile, simple and convenient, and the obtained hybrid monolith could be applied to efficiently isolate EVs from bio-samples by taking advantages of the specific bond of Ti4+ and phosphate groups on the phospholipid membrane of EVs and the synergistic effect of DSPE insertion. Meanwhile, the eluted EVs could maintain their structural integrity and biological activity, suggesting they could be used for downstream application. Furthermore, 75 up-regulated proteins and 56 down-regulated proteins were identified by comparing the urinary EVs of colorectal cancer (CRC) patients and healthy donors, and these proteins might be used as potential biomarkers for early screening of CRC. These results demonstrated that this hybrid monolith could be used as a simple and convenient tool for isolating EVs from bio-samples and for wider applications in biomarker discovery. [Display omitted] • Hybrid monolith with synergistic effect of DSPE insertion and MAC was prepared via photo-initiated polymerization. • The EV isolation method based on hybrid monolith is successfully developed. • The hybrid monolithic materials-based isolation method for EVs exhibited excellent capture efficiency with short time. • The EVs isolated by hybrid monolith materials could maintain their structural integrity and biological activity. [ABSTRACT FROM AUTHOR]

Two-dimensional (2D) materials such as MXenes, are usually well utilized in the field of catalysts and battery due to their good hydrophilicity and diversified surface terminals. However, their potential applications in the treatment of biological samples have not been widely concerned. Extracellular vesicles (EVs) contain unique molecular signatures and could be used as biomarkers for the detection of severe diseases such as cancer, as well as monitoring the therapeutic response. In this work, two kinds of MXene materials (Ti 3 C 2 and Ti 2 C) were successfully synthesized and employed in the isolation of EVs from the biological samples by taking advantage of the affinity interaction between the titanium (Ti) in MXenes and the phospholipid membrane of EVs. Compared with Ti 2 C MXene materials, TiO 2 beads and the other EVs isolation methods, Ti 3 C 2 MXene materials exhibited excellent isolation performance via the coprecipitation with EVs due to the abundant unsaturated coordination of Ti2+/Ti3+, and the dosage of materials was the lowest. Meanwhile, the whole isolation process could be done within 30 min and integrated well with the following analysis of proteins and ribonucleic acids (RNAs), which was also convenient and economic. Furthermore, the Ti 3 C 2 MXene materials were used to isolate the EVs from the blood plasma of colorectal cancer (CRC) patients and healthy donors. Proteomics analysis of EVs showed that 67 proteins were up-regulated, in which most of them were closely related to CRC progression. These findings indicate that the MXene material-based EVs isolation method via coprecipitation provides an efficient tool for early diagnosis of diseases. [Display omitted] • The EVs isolation method based on Ti 3 C 2 MXene materials via coprecipitation were successfully developed. • The Ti 3 C 2 MXene materials-based isolation method for EVs exhibited excellent capture efficiency with short time. • The EVs isolated by Ti 3 C 2 MXene materials could maintain their structural integrity and biological activity, which was conducive to further analysis. • Combining with PCR and LC/MS-MS technologies, this EVs isolation method was a powerful tool for screening out clinical biomarkers. [ABSTRACT FROM AUTHOR]