Evidence map›Paper›PMID 33232386›Full record

ArticlePloS one2020

Evaluation of immune and chemical precipitation methods for plasma exosome isolation.

Tatiana Shtam, Vladimir Evtushenko, Roman Samsonov, Yana Zabrodskaya, Roman Kamyshinsky, Lidia Zabegina, Nikolay Verlov, Vladimir Burdakov, Luiza Garaeva, Maria Slyusarenko and 3 more

Open access · goldAbstract readComparative StudyEvaluation Study
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
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

28 citing papers in PubMed, 51 citations in OpenAlex.

  1. Review
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  8. Review
  9. Plasma-Derived Extracellular Vesicle Proteomics.Journal of proteome research · 2025
    Review
  10. Exosome Isolation from Pericardial Fluids.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
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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

13 authors at 5 institutions in 1 country.

Tatiana ShtamPetersburg Nuclear Physics Institute named by B.P. Konstantinov of National Research Center "Kurchatov Institute", Gatchina, Russia.ORCID 0000-0003-0651-4785
Vladimir EvtushenkoRussian Scientific Center of Radiology and Surgical Technologies named by academician A.M. Granov, St. Petersburg, Russia.
Roman SamsonovN.N. Petrov National Medical Research Center of Oncology, St. Petersburg, Russia.
Yana ZabrodskayaPetersburg Nuclear Physics Institute named by B.P. Konstantinov of National Research Center "Kurchatov Institute", Gatchina, Russia.ORCID 0000-0003-2012-9461
Roman KamyshinskyNational Research Center "Kurchatov Institute", Moscow, Russia.
Lidia ZabeginaN.N. Petrov National Medical Research Center of Oncology, St. Petersburg, Russia.
Nikolay VerlovPetersburg Nuclear Physics Institute named by B.P. Konstantinov of National Research Center "Kurchatov Institute", Gatchina, Russia.
Vladimir BurdakovPetersburg Nuclear Physics Institute named by B.P. Konstantinov of National Research Center "Kurchatov Institute", Gatchina, Russia.
Luiza GaraevaPetersburg Nuclear Physics Institute named by B.P. Konstantinov of National Research Center "Kurchatov Institute", Gatchina, Russia.
Maria SlyusarenkoN.N. Petrov National Medical Research Center of Oncology, St. Petersburg, Russia.
Nadezhda NikiforovaN.N. Petrov National Medical Research Center of Oncology, St. Petersburg, Russia.
Andrey KonevegaPetersburg Nuclear Physics Institute named by B.P. Konstantinov of National Research Center "Kurchatov Institute", Gatchina, Russia.ORCID 0000-0003-0125-7150
Anastasia MalekN.N. Petrov National Medical Research Center of Oncology, St. Petersburg, Russia.
Institute of Oncology NN Petrov · RUPeter the Great St. Petersburg Polytechnic University · RUKurchatov Institute · RURussian Academy of Sciences · RURussian Scientific Center of Radiology and Surgical Technologies · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes are a type of extracellular vesicles (EVs) secreted by multiple mammalian cell types and involved in intercellular communication. Numerous studies have explored the diagnostic and therapeutic potential of exosomes. The key challenge is the lack of efficient and standard techniques for isolation and downstream analysis of nanovesicles. Conventional isolation methods, such as ultracentrifugation, precipitation, filtration, chromatography, and immune-affinity-based approaches, rely on specific physical properties or on surface biomarkers. However, any of the existing methods has its limitations. Various parameters, such as efficacy, specificity, labor input, cost and scalability, and standardization options, must be considered for the correct choice of appropriate approach. The isolation of exosomes from biological fluids is especially challenged by the complex nature and variability of these liquids. Here, we present a comparison of five protocols for exosome isolation from human plasma: two chemical affinity precipitation methods (lectin-based purification and SubX™ technology), immunoaffinity precipitation, and reference ultracentrifugation-based exosome isolation method in two modifications. An approach for the isolation of exosomes based on the phenomenon of binding and aggregation of these particles via clusters of outer membrane phosphate groups in the presence of SubX™ molecules has been put forward in the present study. The isolated EVs were characterized based upon size, quantity, and protein content.

Indexed as

ImmunoprecipitationUltracentrifugationCell-Derived MicroparticlesExosomesHumansLectinsPlasmaLectins

Identifiers

PMID33232386
PMCPMC7685508
OpenAlexW3110307185

What OpenQuestion 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 OpenQuestion graph.