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Separation of small extracellular vesicles (sEV) from human blood by Superose 6 size exclusion chromatography
- Source :
- Journal of Extracellular Vesicles, Vol 13, Iss 10, Pp n/a-n/a (2024)
- Publication Year :
- 2024
- Publisher :
- Wiley, 2024.
-
Abstract
- Abstract Extracellular vesicles (EVs) are valuable targets for liquid biopsy. However, attempts to introduce EV‐based biomarkers into clinical practice have not been successful to the extent expected. One of the reasons for this failure is the lack of reliable methods for EV baseline purification from complex biofluids, such as cell‐free plasma or serum. Because available one‐step approaches for EV isolation are insufficient to purify EVs, the majority of studies on clinical samples were performed either on a mixture of EVs and lipoproteins, whilst the real number of EVs and their individual specific biomarker content remained elusive, or on a low number of samples of sufficient volume to allow elaborate 2‐step EV separation by size and density, resulting in a high purity but utmost low recovery. Here we introduce Fast Protein Liquid Chromatography (FPLC) using Superose 6 as a matrix to obtain small EVs from biofluids that are almost free of soluble proteins and lipoproteins. Along with the estimation of a realistic number of small EVs in human samples, we show temporal resolution of the effect of the duration of postprandial phase on the proportion of lipoproteins in purified EVs, suggesting acceptable time frames additionally to the recommendation to use fasting samples for human studies. Furthermore, we assessed a potential value of pure EVs for liquid biopsy, exemplarily examining EV‐ and tumour‐biomarkers in pure FPLC‐derived fractions isolated from the serum of patients with pancreatic cancer. Consistent among different techniques, showed the presence of diseases‐associated biomarkers in pure EVs, supporting the feasibility of using single‐vesicle analysis for liquid biopsy.
Details
- Language :
- English
- ISSN :
- 20013078
- Volume :
- 13
- Issue :
- 10
- Database :
- Directory of Open Access Journals
- Journal :
- Journal of Extracellular Vesicles
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.588507e5d9a54be8a0d1eefab47b6573
- Document Type :
- article
- Full Text :
- https://doi.org/10.1002/jev2.70008