Evidence map›Paper›PMID 40575388›Full record

ArticleJournal of extracellular biology2025

Systematic Evaluation of Isolation Techniques and Freeze-Thaw Effects on Plasma Extracellular Vesicle Heterogeneity and Subpopulation Profiling.

Xueqi Li, Xiangyu Li, Lingjun Tong, Liqiao Hu, Yanfen Hong, Ruoyu Zhou, Zonghong Li, Ming Dong, Junjie Hou, Tao Xu and 1 more

Abstract read
In one paragraph

Article in Journal of extracellular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

11 authors.

Xueqi LiGuangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University Guangzhou China.
Xiangyu LiGuangzhou National Laboratory Guangzhou China.
Lingjun TongMedical Science and Technology Innovation Center, Jinan Central Hospital Shandong First Medical University & Shandong Academy of Medical Sciences Jinan China.
Liqiao HuGuangzhou National Laboratory Guangzhou China.
Yanfen HongGuangzhou National Laboratory Guangzhou China.
Ruoyu ZhouGuangzhou National Laboratory Guangzhou China.
Zonghong LiGuangzhou National Laboratory Guangzhou China.ORCID https://orcid.org/0000-0002-5153-0007
Ming DongGuangzhou National Laboratory Guangzhou China.
Junjie HouNational Laboratory of Biomacromolecules, Institute of Biophysics Chinese Academy of Sciences Beijing China.
Tao XuGuangzhou National Laboratory Guangzhou China.
Wen ZhongGuangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University Guangzhou China.ORCID https://orcid.org/0000-0002-7422-6104

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are increasingly recognized as promising disease biomarkers and therapeutic carriers. However, standardizing blood-derived EV isolation remains challenging due to the heterogeneity of EV populations and variability among isolation techniques. In this study, we systematically evaluated three distinct EV isolation methods, including asymmetrical flow field-flow fractionation (AF4), size-exclusion chromatography (SEC) and automated centrifugal microfluidic disc system combined with functionalized membranes (Exo-CMDS), to compare their efficiency in isolating EVs from both freshly frozen and freeze-thawed plasma samples. We utilized an integrative approach combining Proximity-dependent Barcoding Assay (PBA) for single-EV surface protein profiling, Liquid Chromatography-Mass Spectrometry (LC-MS/MS) for bulk proteomic analysis, along with transmission electron microscopy (TEM) and nanoparticle tracking analysis (NTA) to assess EV yield, morphology, surface protein expression and subpopulation diversity. Our results revealed significant differences in three EV isolation methods. AF4 is particularly enriched for EV subpopulations expressing high levels of classical tetraspanins (e.g., CD81, CD9 and CD151), and single-pass membrane proteins (e.g., ITGA4 and ITAGB1). Exo-CMDS demonstrated the highest reproducibility across samples, isolating specific EV subpopulations enriched in markers like CD5. SEC provided the highest yield but co-isolated significant amounts of non-vesicular particles, including lipoproteins. The findings contribute valuable insights toward standardized and reliable EV isolation practices for research and clinical applications.

Indexed as

EV isolationextracellular vesiclesplasmaproteomicssingle EVsmall EVssubpopulationssurfaceomics

Identifiers

PMID40575388
PMCPMC12199058

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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.