Evidence map›Paper›PMID 36835073›Full record

ArticleInternational journal of molecular sciences2023

Size-Exclusion Chromatography Combined with Ultrafiltration Efficiently Isolates Extracellular Vesicles from Human Blood Samples in Health and Disease.

Chiara Franco, Anna Ghirardello, Loris Bertazza, Michela Gasparotto, Elisabetta Zanatta, Luca Iaccarino, Hadi Valadi, Andrea Doria, Mariele Gatto

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  20. Extracellular Vesicle Preparation and Analysis: A State-of-the-Art Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 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

9 authors.

Chiara FrancoUnit of Rheumatology, Department of Medicine (DIMED), University of Padova, 35128 Padova, Italy.ORCID 0000-0001-9027-511X
Anna GhirardelloUnit of Rheumatology, Department of Medicine (DIMED), University of Padova, 35128 Padova, Italy.
Loris BertazzaUnit of Endocrinology, Department of Medicine (DIMED), University of Padova, 35128 Padova, Italy.
Michela GasparottoUnit of Rheumatology, Department of Medicine (DIMED), University of Padova, 35128 Padova, Italy.ORCID 0000-0002-9930-2396
Elisabetta ZanattaUnit of Rheumatology, Department of Medicine (DIMED), University of Padova, 35128 Padova, Italy.
Luca IaccarinoUnit of Rheumatology, Department of Medicine (DIMED), University of Padova, 35128 Padova, Italy.
Hadi ValadiDepartment of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Guldhedsgatan 10A, 413 46 Gothenburg, Sweden.ORCID 0000-0003-3482-2451
Andrea DoriaUnit of Rheumatology, Department of Medicine (DIMED), University of Padova, 35128 Padova, Italy.ORCID 0000-0003-0548-4983
Mariele GattoUnit of Rheumatology, Department of Medicine (DIMED), University of Padova, 35128 Padova, Italy.ORCID 0000-0003-4012-1248

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is still a need for an efficient method for the isolation of extracellular vesicles (EVs) from human blood that provides a reliable yield with acceptable purity. Blood is a source of circulating EVs, but soluble proteins and lipoproteins hamper their concentration, isolation, and detection. This study aims to investigate the efficiency of EV isolation and characterization methods not defined as "gold standard". EVs were isolated from human platelet-free plasma (PFP) of patients and healthy donors through size-exclusion chromatography (SEC) combined with ultrafiltration (UF). Then, EVs were characterized using transmission electron microscopy (TEM), imaging flow cytometry (IFC), and nanoparticle tracking analysis (NTA). TEM images showed intact and roundish nanoparticles in pure samples. IFC analysis detected a prevalence of CD63+ EVs compared to CD9+, CD81+, and CD11c+ EVs. NTA confirmed the presence of small EVs with a concentration of ~10

Indexed as

Chromatography, GelExtracellular VesiclesUltrafiltrationBloodHumansLipoproteinsMicroscopy, Electron, TransmissionLipoproteinsextracellular vesiclesidiopathic inflammatory myopathiessize-exclusion chromatographyultrafiltration

Identifiers

PMID36835073
PMCPMC9963337

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Registered trials

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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.