Evidence map›Paper›PMID 41149346›Full record

ArticleBiosensors2025

Exosome Biomarker Profiling Using a Paper-Based Vertical Flow Assay.

Arnau Pallarès-Rusiñol, Jennifer Marfà, Rosanna Rossi, Mercè Martí, María Isabel Pividori

Abstract read
In one paragraph

Article in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Arnau Pallarès-RusiñolGrup de Sensors i Biosensors, Departament de Química, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain.ORCID 0000-0001-9990-148X
Jennifer MarfàGrup de Sensors i Biosensors, Departament de Química, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain.ORCID 0000-0001-5321-3841
Rosanna RossiGrup de Sensors i Biosensors, Departament de Química, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain.ORCID 0000-0002-3656-2908
Mercè MartíBiosensing and Bioanalysis Group, Institute of Biotechnology and Biomedicine, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain.ORCID 0000-0002-1846-0043
María Isabel PividoriGrup de Sensors i Biosensors, Departament de Química, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain.ORCID 0000-0002-5266-7873

Funding

Agencia Estatal de Investigación PID2019-106625RB-I00Agencia Estatal de Investigación PID2022-136453OB-I00Ajuntament de Barcelona 24S05876-001Ministerio de Ciencia, Innovación y Universidades PDC2022-133363-I00
6 · The paper itself

Abstract

Exosomes are nanoscale extracellular vesicles that carry valuable biomolecular information. However, their characterization still depends on complex and costly techniques such as flow cytometry. In this study, a paper-based Vertical Flow Assay (VFA) specifically designed for the detection and profiling of exosomes derived from metastatic breast cancer cell lines is presented. The assay operates in an ELISA-like format, targeting exosomal surface proteins (CD9, CD63, CD81, and EGFR1) with specific antibodies and a secondary antibody conjugated to alkaline phosphatase. Upon reaction with the NBT/BCIP substrate, an insoluble indigo precipitate forms on the nitrocellulose membrane, generating a visual signal that can be further quantified by smartphone imaging. The VFA was optimized for membrane type, pore size, and blocking agents, reaching a detection limit of ~6 × 10

Indexed as

Biosensing TechniquesExosomesBiomarkersBiomarkers, TumorBreast NeoplasmsCell Line, TumorEnzyme-Linked Immunosorbent AssayFlow CytometryHumansPaperBiomarkersBiomarkers, Tumoralkaline phosphatasebreast cancerexosome profilingflow cytometryliquid biopsypaper-based immunoassayvertical flow assay

Identifiers

PMID41149346
PMCPMC12563862

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.