Evidence map›Paper›PMID 35383410›Full record

ArticleJournal of extracellular vesicles2022

Assessment of extracellular vesicle isolation methods from human stool supernatant.

Emmalee J Northrop-Albrecht, William R Taylor, Bing Q Huang, John B Kisiel, Fabrice Lucien

Abstract read
In one paragraph

Article in Journal of extracellular vesicles, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Emmalee J Northrop-AlbrechtDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-4791-1683
William R TaylorDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.
Bing Q HuangMicroscopy and Cell Analysis Core, Mayo Clinic, Rochester, Minnesota, USA.
John B KisielDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-3840-5324
Fabrice LucienDepartment of Urology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-6149-345X

Funding

Multi-site Gastrointestinal Cancer Detection by Stool DNA MethylationR37CA214679 · NCI · MAYO CLINIC ROCHESTER · PI KISIEL, JOHN · 2018 to 2024
$2.8M
Multi-cancer Early DetectionR01CA214679 · NCI · MAYO CLINIC ROCHESTER · PI John Kisiel, Niloy Jewel Samadder · 2025 to 2026
$891k
NCI NIH HHS R01 CA214679NCI NIH HHS R37 CA214679
6 · The paper itself

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.

Indexed as

Extracellular VesiclesChromatography, GelHumansReproducibility of ResultsUltracentrifugationUltrafiltrationbiomarkerscell-derived microparticlescolonic neoplasms/diagnosisextracellular vesicles/chemistrygastrointestinal microbiometumour

Identifiers

PMID35383410
PMCPMC8980777

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.