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Assessment of extracellular vesicle isolation methods from human stool supernatant.

Authors :
Northrop‐Albrecht, Emmalee J.
Taylor, William R.
Huang, Bing Q.
Kisiel, John B.
Lucien, Fabrice
Source :
Journal of Extracellular Vesicles; Apr2022, Vol. 11 Issue 4, p1-17, 17p
Publication Year :
2022

Abstract

Extracellular vesicles (EVs) are of growing interest due to their potential diagnostic, disease surveillance, and therapeutic applications. While several studies have evaluated EV isolation methods in various biofluids, there are few if any data on these techniques when applied to stool. The latter is an ideal biospecimen for studying EVs and colorectal cancer (CRC) because the release of tumour markers by luminal exfoliation into stool occurs earlier than vascular invasion. Since EV release is a conserved mechanism, bacteria in stool contribute to the overall EV population. In this study, we assessed five EV separation methods (ultracentrifugation [UC], precipitation [EQ‐O, EQ‐TC], size exclusion chromatography [SEC], and ultrafiltration [UF]) for total recovery, reproducibility, purity, RNA composition, and protein expression in stool supernatant. CD63, TSG101, and ompA proteins were present in EV fractions from all methods except UC. Human (18s) and bacterial (16s) rRNA was detected in stool EV preparations. Enzymatic treatment prior to extraction is necessary to avoid non‐vesicular RNA contamination. Ultrafiltration had the highest recovery, RNA, and protein yield. After assessing purity further, SEC was the isolation method of choice. These findings serve as the groundwork for future studies that use high throughput omics technologies to investigate the potential of stool‐derived EVs as a source for novel biomarkers for early CRC detection. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20013078
Volume :
11
Issue :
4
Database :
Complementary Index
Journal :
Journal of Extracellular Vesicles
Publication Type :
Academic Journal
Accession number :
156468208
Full Text :
https://doi.org/10.1002/jev2.12208