Evidence map›Paper›PMID 41420477›Full record

ArticleBiology of the cell2025

Direct Profiling of Extracellular Vesicle Surface Markers in Plasma: A Proof-of-Concept Study.

Lee-Ann Clegg, Rebecca Best Jensen, Rikke Bæk, Birgitte Hviid Mumm, Maria Kjølhede Sørensen, Rolf Ankerlund Blauenfeldt, Kim Ryun Drasbek, Malene Møller Jørgensen

Abstract read
In one paragraph

Article in Biology of the cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Lee-Ann CleggDepartment of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark.ORCID https://orcid.org/0009-0001-7080-7200
Rebecca Best JensenCenter of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus N, Denmark.
Rikke BækDepartment of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark.
Birgitte Hviid MummCenter of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus N, Denmark.
Maria Kjølhede SørensenDanish Stroke Center, Department of Neurology, Aarhus University Hospital, Aarhus N, Denmark.
Rolf Ankerlund BlauenfeldtDanish Stroke Center, Department of Neurology, Aarhus University Hospital, Aarhus N, Denmark.ORCID https://orcid.org/0000-0002-4846-9516
Kim Ryun DrasbekCenter of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus N, Denmark.ORCID https://orcid.org/0000-0003-2701-2741
Malene Møller JørgensenDepartment of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark.

Funding

Danish Neurological Society and Danish Society for NeuroscienceLundbeck FoundationNovo Nordisk Foundation NNF18OC0052924
6 · The paper itself

Abstract

During the last decade, non-invasive methods such as liquid biopsy have increasingly replaced invasive techniques for diagnosing and monitoring diseases. Liquid biopsies are easier to obtain, highly sensitive, cost-effective per sample, and can be used for real-time monitoring, such as tracking drug response. To uncover molecular and cellular characteristics today, blood, saliva, urine, or cerebrospinal fluid are typically analyzed. In this methodological proof-of-concept study, we propose that patient profiling can be facilitated by assessing surface markers on extracellular vesicles (EVs) directly in plasma without prior purification. EV composition reflects the physiological or pathological state of their parent cell, making EVs valuable tools for biomarker discovery and understanding disease mechanisms. Plasma and purified EVs from 30 ischemic stroke patients were analyzed for 17 surface markers using an in-house protein microarray method (EV Array). The findings indicate that measurements on EVs directly in plasma and on purified EVs show similar patterns in expression of surface markers, supporting the feasibility of omitting purification in EV profiling. This knowledge can provide faster monitoring of various diseases, prevent delays in patient profiling, and optimize patient care.

Indexed as

BiomarkersExtracellular VesiclesAgedFemaleHumansMaleMiddle AgedProof of Concept StudyProtein Array AnalysisStrokeBiomarkersbiomarkerEV Arrayextracellular vesiclesplasmaprofiling

Identifiers

PMID41420477
PMCPMC12717633

What OpenQuestion holds

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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.