Evidence map›Paper›PMID 25762995›Full record

ArticleFrontiers in immunology2015

Methods for extracellular vesicles isolation in a hospital setting.

Matías Sáenz-Cuesta, Ander Arbelaiz, Amaia Oregi, Haritz Irizar, Iñaki Osorio-Querejeta, Maider Muñoz-Culla, Jesus M Banales, Juan M Falcón-Pérez, Javier Olascoaga, David Otaegui

Abstract read
In one paragraph

Article in Frontiers in immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

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15 more citing papers are in PubMed but not listed here.

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

10 authors.

Matías Sáenz-CuestaMultiple Sclerosis Unit, Neuroscience Area, Biodonostia Health Research Institute , San Sebastián , Spain ; Spanish Network on Multiple Sclerosis , Madrid , Spain.
Ander ArbelaizDepartment of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute, Donostia University Hospital , San Sebastián , Spain ; University of the Basque Country , San Sebastián , Spain.
Amaia OregiMultiple Sclerosis Unit, Neuroscience Area, Biodonostia Health Research Institute , San Sebastián , Spain.
Haritz IrizarMultiple Sclerosis Unit, Neuroscience Area, Biodonostia Health Research Institute , San Sebastián , Spain ; Spanish Network on Multiple Sclerosis , Madrid , Spain.
Iñaki Osorio-QuerejetaMultiple Sclerosis Unit, Neuroscience Area, Biodonostia Health Research Institute , San Sebastián , Spain ; Spanish Network on Multiple Sclerosis , Madrid , Spain.
Maider Muñoz-CullaMultiple Sclerosis Unit, Neuroscience Area, Biodonostia Health Research Institute , San Sebastián , Spain ; Spanish Network on Multiple Sclerosis , Madrid , Spain.
Jesus M BanalesDepartment of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute, Donostia University Hospital , San Sebastián , Spain ; University of the Basque Country , San Sebastián , Spain ; National Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd, Instituto de Salud Carlos III) , Madrid , Spain ; Ikerbasque - Basque Foundation for Science , Bilbao , Spain ; Asociación Española Contra el Cáncer , Madrid , Spain.
Juan M Falcón-PérezNational Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd, Instituto de Salud Carlos III) , Madrid , Spain ; Ikerbasque - Basque Foundation for Science , Bilbao , Spain ; Metabolomics Unit, CIC bioGUNE , Derio , Spain.
Javier OlascoagaMultiple Sclerosis Unit, Neuroscience Area, Biodonostia Health Research Institute , San Sebastián , Spain ; Spanish Network on Multiple Sclerosis , Madrid , Spain ; Department of Neurology, Donostia University Hospital , San Sebastián , Spain.
David OtaeguiMultiple Sclerosis Unit, Neuroscience Area, Biodonostia Health Research Institute , San Sebastián , Spain ; Spanish Network on Multiple Sclerosis , Madrid , Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The research in extracellular vesicles (EVs) has been rising during the last decade. However, there is no clear consensus on the most accurate protocol to isolate and analyze them. Besides, most of the current protocols are difficult to implement in a hospital setting due to being very time-consuming or to requirements of specific infrastructure. Thus, our aim is to compare five different protocols (comprising two different medium-speed differential centrifugation protocols; commercially polymeric precipitation - exoquick - acid precipitation; and ultracentrifugation) for blood and urine samples to determine the most suitable one for the isolation of EVs. Nanoparticle tracking analysis, flow cytometry, western blot (WB), electronic microscopy, and spectrophotometry were used to characterize basic aspects of EVs such as concentration, size distribution, cell-origin and transmembrane markers, and RNA concentration. The highest EV concentrations were obtained using the exoquick protocol, followed by both differential centrifugation protocols, while the ultracentrifugation and acid-precipitation protocols yielded considerably lower EV concentrations. The five protocols isolated EVs of similar characteristics regarding markers and RNA concentration; however, standard protocol recovered only small EVs. EV isolated with exoquick presented difficult to be analyzed with WB. The RNA concentrations obtained from urine-derived EVs were similar to those obtained from blood-derived ones, despite the urine EV concentration being 10-20 times lower. We consider that a medium-speed differential centrifugation could be suitable to be applied in a hospital setting as it requires the simplest infrastructure and recovers higher concentration of EV than standard protocol. A workflow from sampling to characterization of EVs is proposed.

Indexed as

clinical applicationextracellular vesiclesflow cytometrynanoparticle tracking analysisprotocol standardizationtranslational researchurine

Identifiers

PMID25762995
PMCPMC4327731

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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.