Evidence map›Paper›PMID 33670624›Full record

ArticleBiomedicines2021

Zoom in on Antibody Aggregates: A Potential Pitfall in the Search of Rare EV Populations.

Rikke W Rasmussen, Jaco Botha, Frederik Prip, Mathilde Sanden, Morten H Nielsen, Aase Handberg

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Circulating Liver-Derived and CD36Journal of extracellular vesicles · 2026
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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

6 authors at 1 institution in 1 country.

Rikke W RasmussenDepartment of Clinical Biochemistry, Aalborg University Hospital, 9000 Aalborg, Denmark.
Jaco BothaDepartment of Clinical Biochemistry, Aalborg University Hospital, 9000 Aalborg, Denmark.ORCID 0000-0002-8889-9959
Frederik PripDepartment of Clinical Biochemistry, Aalborg University Hospital, 9000 Aalborg, Denmark.ORCID 0000-0001-7273-8811
Mathilde SandenDepartment of Clinical Biochemistry, Aalborg University Hospital, 9000 Aalborg, Denmark.
Morten H NielsenDepartment of Clinical Biochemistry, Aalborg University Hospital, 9000 Aalborg, Denmark.ORCID 0000-0003-0748-6296
Aase HandbergDepartment of Clinical Biochemistry, Aalborg University Hospital, 9000 Aalborg, Denmark.
Aalborg University Hospital · DK

Funding

Novo Nordisk Fonden 7713Toyota Foundation KJ/BG-8967 F
6 · The paper itself

Abstract

High-resolution flow cytometers (hFCM) are used for the detection of extracellular vesicles (EV) in various biological fluids. Due to the increased sensitivity of hFCM, new artifacts with the potential of interfering with data interpretation are introduced, such as detection of antibody aggregates. The aim of this study was to investigate the extent of aggregates in labels commonly used for the characterization of EVs by hFCM. Furthermore, we aimed to compare the efficacy of centrifugation and filtering treatments to remove aggregates, as well as to quantify the effect of the treatments in reducing aggregates. For this purpose, we labeled phosphate buffered saline (PBS) with fluorescently conjugated protein labels and antibodies after submitting them to 5, 10, or 30 min centrifugation, filtering or washed filtering. We investigated samples by hFCM and quantified the amount of aggregates found in PBS labeled with untreated and pre-treated labels. We found a varying amount of aggregates in all labels investigated, and further that filtering is most efficient in removing all but the smallest aggregates. Filtering protein labels can reduce the extent of aggregates; however, how much remains depends on the specific labels and their combination. Therefore, it is still necessary to include appropriate controls in a hFCM study of EVs.

Indexed as

extracellular vesicleshigh-resolution flow cytometryprotein aggregates

Identifiers

PMID33670624
PMCPMC7923005
OpenAlexW3129863691

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.