Evidence map›Paper›PMID 40356199›Full record

ArticleJournal of proteome research2025

Comprehensive Comparison of Methods for Isolation of Extracellular Vesicles from Human Plasma.

Patil Shivprasad Suresh, Qibin Zhang

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of proteome research, 2025. 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

2 authors.

Patil Shivprasad SureshCenter for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, North Carolina 28081, United States.
Qibin ZhangCenter for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, North Carolina 28081, United States.ORCID 0000-0002-6135-8706

Funding

Protein Markers to Islet Autoimmunity and T1D ProgressionR01DK114345 · NIDDK · UNIVERSITY OF NORTH CAROLINA GREENSBORO · PI ZHANG, QIBIN · 2017 to 2022
$1.7M
NIDDK NIH HHS R01 DK114345
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are a vital component in cell-cell communication and hold significant potential as biomarkers and therapeutic carriers. Having a reproducible and simple EV isolation method for small volumes of human plasma is essential for biomarker discovery. Although combining multiple methods has been a recent trend in its ability to minimize contamination, it is not ideal for clinical specimens due to the large sample number and small sample volume. This study compared EVs isolated from 100 μL of plasma by nine commonly used methods based on different principles, including centrifugation, polymer precipitation, size exclusion, electrostatic interaction, and affinity enrichment. The isolated EVs were characterized by particle size and number using nanoparticle tracking analysis, purity, and contaminants using Simple Western and overall proteomic profiles using bottom-up proteomics. Despite the same EV enrichment principle, individual methods isolated EVs exhibited distinct characteristics, likely due to variations in the physicochemical properties of materials used and specific protocols. Overall, all of the methods evaluated are reproducible. MagNet and MagCap methods result in purer EVs with the narrowest size distribution and the highest proteome coverage but modest yield. This is the first report on isolating EVs from 100 μL of plasma using nine different methods with detailed characterization.

Indexed as

Extracellular VesiclesPlasmaProteomicsChromatography, GelHumansParticle SizeProteomeProteomeEV isolationextracellular vesiclesNTAplasmaproteomicsSimple Western

Identifiers

PMID40356199
PMCPMC12150312

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.