Evidence mapPaperPMID 42100293Full record

ArticleJournal of extracellular biology2026

Flow Cytometric Detection of Biomarker Changes in CFDA-SE-Labelled Plasma Extracellular Vesicles Using a Rodent Pregnancy Model of Prenatal Diagnostics.

Petra Adamova, Lesley Sloan, Andrew K Powell, Iain M Dykes

Abstract read
In one paragraph

Article in Journal of extracellular biology, 2026. 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

4 authors.

Petra AdamovaDepartment of Pharmacy and Biomolecular Sciences Liverpool John Moores University Liverpool Merseyside UK.ORCID https://orcid.org/0000-0002-7213-0547
Lesley SloanDepartment of Pharmacy and Biomolecular Sciences Liverpool John Moores University Liverpool Merseyside UK.ORCID https://orcid.org/0009-0001-6537-4383
Andrew K PowellDepartment of Pharmacy and Biomolecular Sciences Liverpool John Moores University Liverpool Merseyside UK.ORCID https://orcid.org/0000-0002-3680-9384
Iain M DykesDepartment of Pharmacy and Biomolecular Sciences Liverpool John Moores University Liverpool Merseyside UK.ORCID https://orcid.org/0000-0002-1030-3721

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating extracellular vesicles (EVs) offer a promising source of non-invasive biomarkers for congenital disease diagnostics but robust assays for their detection are lacking. We used a rodent pregnancy model as a proxy for a prenatal diagnostics assay to test whether we could detect a difference in EV tetraspanin display between pregnant rats and non-pregnant controls using standard flow cytometry. Carboxyfluorescein diacetate succinimidyl ester (CFDA-SE) was used as a positive EV marker. CFDA-SE positive particle count was linear but both size and concentration were below those measured by nanoparticle tracking analysis. Plasma proteins activated CFDA-SE non-specifically. Fractional analysis of eluates revealed that plasma protein is efficiently separated from EVs by size-exclusion chromatography (SEC). We identify albumin within antibody storage buffers as the main source of false positives. Attempts to reduce background by quenching (trypan blue) and clean-up (SEC) methods were ineffective. We then probed CFDA-SE-labelled EVs with antibodies to assay surface biomarker display using a quadrant method to measure double-positive EVs. We observed a reduction in CD63 display in the pregnant condition but no change in CD9 or CD81. Using CD63 display level as a diagnostic test allowed detection of the pregnant condition with a sensitivity of 0.83 at specificity of 1 (AUC = 0.99).

Indexed as

blood biomarkerdiagnosticsexosomeextracellular vesicleflow cytometrypregnancysize‐exclusion chromatography

Identifiers

PMID42100293
PMCPMC13145351

What Socratic holds

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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 Socratic graph.