Evidence map›Paper›PMID 41011574›Full record

ArticleMolecules (Basel, Switzerland)2025

Implementation of a Novel Nanobody Panel for the Efficient Capture of Extracellular Vesicles from Human Plasma.

Marija Tursunović, Lidija Filipović, Ninoslav Mitić, Sanja Stevanović, Milica Spasojević Savković, Ario de Marco, Milica Popović

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

7 authors.

Marija TursunovićInnovative Centre of the Faculty of Chemistry, 11158 Belgrade, Serbia.ORCID 0009-0007-7378-866X
Lidija FilipovićInnovative Centre of the Faculty of Chemistry, 11158 Belgrade, Serbia.
Ninoslav MitićInstitute for the Application of Nuclear Energy, INEP, University of Belgrade, 11080 Belgrade, Serbia.ORCID 0000-0003-2756-6517
Sanja StevanovićInstitute for Chemistry, Technology, and Metallurgy, University of Belgrade, Njegoševa 12, 11000 Belgrade, Serbia.ORCID 0000-0003-2157-5754
Milica Spasojević SavkovićInnovative Centre of the Faculty of Chemistry, 11158 Belgrade, Serbia.ORCID 0000-0001-9134-6637
Ario de MarcoLaboratory for Environmental and Life Sciences, University of Nova Gorica, 5000 Nova Gorica, Slovenia.ORCID 0000-0001-7729-819X
Milica PopovićFaculty of Chemistry, University of Belgrade, Studentski trg 12-16, 11158 Belgrade, Serbia.ORCID 0000-0002-3681-2153

Funding

European Union 101182851Science Fund of the Republic of Serbia 4747
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are nanoscale particles released by cells and are significant components in intercellular communication. Their ability to reflect the molecular state of parental cells and their presence in body fluids make them increasingly recognized as promising non-invasive biomarkers for different pathological conditions. However, the existence of different EV populations and frequent co-isolation of contaminants present challenges for EV purification and downstream analyses. In this study, we used three novel nanobodies (VHH) for selective isolation of EVs from human plasma. Nanobodies were obtained by direct panning on EVs. All examined nanobodies have excellent physicochemical properties resulting in excellent expression and solubility. The three nanobodies being studied-NA8, ND10

Indexed as

Extracellular VesiclesSingle-Domain AntibodiesHumansSingle-Domain Antibodiesbioinformaticsextracellular vesiclesimmunoaffinity chromatographynanobodies

Identifiers

PMID41011574
PMCPMC12472977

What OpenQuestion holds

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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.