Evidence map›Paper›PMID 40457637›Full record

ArticleAdvanced healthcare materials2025

Advanced Multipurpose Spectroscopic Nanobio-Device for Concurrent Lab-on-a-Chip Label-Free Separation and Detection of Extracellular Vesicles as Key-Biomarkers for Point-of-Care Cardiovascular Disease Diagnostics.

Emma Buchan, Jonathan James Stanley Rickard, Mark Robert Thomas, Pola Goldberg Oppenheimer

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

4 authors.

Emma BuchanSchool of Chemical Engineering, College of Engineering and Physical Science, University of Birmingham, Birmingham, B15 2TT, UK.
Jonathan James Stanley RickardDepartment of Physics, Cavendish Laboratory, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0HE, UK.
Mark Robert ThomasInstitute of Cardiovascular Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, B15 2TT, UK.
Pola Goldberg OppenheimerSchool of Chemical Engineering, College of Engineering and Physical Science, University of Birmingham, Birmingham, B15 2TT, UK.ORCID https://orcid.org/0000-0002-1014-4724

Funding

Engineering and Physical Sciences Research Council EP/L016346/1Engineering and Physical Sciences Research Council EP/V029983/1European Research Council EP/Y030206/1National Institute for Health ResearchWellcome TrustWellcome Trust 174ISSFPP
6 · The paper itself

Abstract

The global aging population presents a major public health challenge, with cardiovascular diseases (CVDs) remaining the leading cause of death worldwide. Often asymptomatic in early-stages, CVDs are frequently undiagnosed until critical events like myocardial infarction or stroke occur. To address this gap, an advanced integrated multipurpose spectroscopic lab-on-a-chip bionano-device has been developed for early CVD detection through extracellular vesicle (EV). EVs, which reflect the molecular state of their originating cells, are separated and analyzed using the combined Raman spectroscopy's molecular specificity with AI-driven classification from clinical CVD biofluids. AIMSpec-LoC unprecedently achieves rapid, label-free, size-based separation of EV subtypes, including small, mid and large EVs from biofluids, whilst preserving EV integrity and eliminating extensive preprocessing. The device enables real-time, multiplexed molecular profiling of EV cargo, identifying CVD-specific biomarkers with sensitivity and specificity >96% and linking these to CVD progression, achieving >97% accuracy in identifying disease-specific molecular fingerprints. This bionanotechnological device generates quantitative barcodes to support prognostic modeling and therapeutic evaluation, providing clinicians with actionable insights for timely-diagnosis and personalized treatment. AIMSpec-LoC platform offers a transformative solution for point-of-care CVD diagnostics, addressing critical unmet needs in cardiovascular medicine, enhancing clinical decision-making, improving patient health and reducing the global burden of CVDs.

Indexed as

Cardiovascular DiseasesExtracellular VesiclesLab-On-A-Chip DevicesPoint-of-Care SystemsSpectrum Analysis, RamanBiomarkersHumansBiomarkerscardiovascular diseasesextracellular vesicleslab‐on‐a‐chip label‐free separation and detectionpoint‐of‐care diagnosticsspectroscopic nanobio‐device

Identifiers

PMID40457637
PMCPMC12365627

What Socratic 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 Socratic graph.