Evidence map›Paper›PMID 34502122›Full record

ArticleInternational journal of molecular sciences2021

Extracellular Vesicle Separation Techniques Impact Results from Human Blood Samples: Considerations for Diagnostic Applications.

Theophilos Tzaridis, Daniel Bachurski, Shu Liu, Kristin Surmann, Felix Babatz, Manuela Gesell Salazar, Uwe Völker, Michael Hallek, Ulrich Herrlinger, Ina Vorberg and 3 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

22 citing papers in PubMed, 26 citations in OpenAlex.

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  14. Acta pharmaceutica Sinica. B · 2024
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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 2 countries.

Theophilos TzaridisInstitute of Clinical Chemistry and Clinical Pharmacology, University Hospital Bonn, 53127 Bonn, Germany.ORCID 0000-0001-9651-1144
Daniel BachurskiCenter for Integrated Oncology Cologne-Bonn, Department I of Internal Medicine, University Hospital of Cologne, 50937 Cologne, Germany.ORCID 0000-0001-9168-9680
Shu LiuGerman Center for Neurodegenerative Diseases (DZNE e.V.), 53127 Bonn, Germany.
Kristin SurmannDepartment of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, 17475 Greifswald, Germany.
Felix BabatzCECAD Center of Excellence on "Cellular Stress Responses in Aging-Associated Diseases", Center for Molecular Medicine Cologne, University of Cologne, 50931 Cologne, Germany.
Manuela Gesell SalazarDepartment of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, 17475 Greifswald, Germany.
Uwe VölkerDepartment of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, 17475 Greifswald, Germany.
Michael HallekCenter for Integrated Oncology Cologne-Bonn, Department I of Internal Medicine, University Hospital of Cologne, 50937 Cologne, Germany.
Ulrich HerrlingerDivision of Clinical Neurooncology, Department of Neurology, University Hospital Bonn, 53127 Bonn, Germany.
Ina VorbergGerman Center for Neurodegenerative Diseases (DZNE e.V.), 53127 Bonn, Germany.ORCID 0000-0003-0583-4015
Christoph CochInstitute of Clinical Chemistry and Clinical Pharmacology, University Hospital Bonn, 53127 Bonn, Germany.
Katrin S ReinersInstitute of Clinical Chemistry and Clinical Pharmacology, University Hospital Bonn, 53127 Bonn, Germany.ORCID 0000-0002-5908-8823
Gunther HartmannInstitute of Clinical Chemistry and Clinical Pharmacology, University Hospital Bonn, 53127 Bonn, Germany.
University Hospital Bonn · DEUniversitätsmedizin Greifswald · DEUniversity of Cologne · DEGerman Center for Neurodegenerative Diseases · DESanford Burnham Prebys Medical Discovery Institute · US

Funding

Deutsche Forschungsgemeinschaft EXC2151 - 390873048Deutsches Zentrum für Infektionsforschung FKZ: 8016807816
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are reminiscent of their cell of origin and thus represent a valuable source of biomarkers. However, for EVs to be used as biomarkers in clinical practice, simple, comparable, and reproducible analytical methods must be applied. Although progress is being made in EV separation methods for human biofluids, the implementation of EV assays for clinical diagnosis and common guidelines are still lacking. We conducted a comprehensive analysis of established EV separation techniques from human serum and plasma, including ultracentrifugation and size exclusion chromatography (SEC), followed by concentration using (a) ultracentrifugation, (b) ultrafiltration, or (c) precipitation, and immunoaffinity isolation. We analyzed the size, number, protein, and miRNA content of the obtained EVs and assessed the functional delivery of EV cargo. Our results demonstrate that all methods led to an adequate yield of small EVs. While no significant difference in miRNA content was observed for the different separation methods, ultracentrifugation was best for subsequent flow cytometry analysis. Immunoaffinity isolation is not suitable for subsequent protein analyses. SEC + ultracentrifugation showed the best functional delivery of EV cargo. In summary, combining SEC with ultracentrifugation gives the highest yield of pure and functional EVs and allows reliable analysis of both protein and miRNA contents. We propose this combination as the preferred EV isolation method for biomarker studies from human serum or plasma.

Indexed as

Cell FractionationChemical FractionationBiological TransportBiomarkersExtracellular VesiclesFlow CytometryHumansLiquid BiopsyProteinsBiomarkersProteinsextracellular vesicle isolationextracellular vesicles diagnosticsmethods in liquid biopsyplasma biomarkerserum biomarker

Identifiers

PMID34502122
PMCPMC8431127
OpenAlexW3196267820

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.