Evidence map›Paper›PMID 40391615›Full record

ReviewSmall methods2025

Nanoplasmonic Sensing of Heterogeneous Extracellular Vesicles: From Bulk to Single Vesicles.

Yan Zhang, Chao Wang, Huilin Shao

Abstract readReview
In one paragraph

Review in Small methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
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

3 authors.

Yan ZhangInstitute for Health Innovation & Technology, National University of Singapore, Singapore, 117599, Singapore.
Chao WangInstitute for Health Innovation & Technology, National University of Singapore, Singapore, 117599, Singapore.
Huilin ShaoInstitute for Health Innovation & Technology, National University of Singapore, Singapore, 117599, Singapore.ORCID https://orcid.org/0000-0003-4513-1410

Funding

Institute for Health Innovation & TechnologyMinistry of Education - Singapore MOE-T2EP30123-0031National Medical Research Council MOH-000541National Medical Research Council MOH-000564National Medical Research Council MOH-001505National Research Foundation Singapore NRF-CRP29-2022-0001National University of SingaporeNUS Research Scholarship
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are heterogeneous nanoscale membrane vesicles released by almost all cell types into the circulation. Depending on their biogenesis and cells of origin, EVs show considerable heterogeneity in their biophysical and biomolecular composition and can serve as reflective and dynamic blood biomarkers for personalized medicine. Conventional analytical technologies, however, often lack the compatibility to reveal nanoscale EV features and resolve vesicle heterogeneity. The past decade has since witnessed the development of various nanoplasmonic technologies to empower EV analysis, through bulk and single-vesicle characterization, at an unprecedented scale and resolution. These platforms achieve versatile measurements that are not only size-matched to EV dimensions but can also probe multiplexed biomolecular contents, thereby providing new insights into EV heterogeneity and enabling transformative clinical opportunities. In this review, key characteristics of EVs and their remarkable heterogeneity are introduced. The sensing principles of plasmonic platforms are also discussed, with recent technology developments highlighted to resolve EV heterogeneity, through bulk analyses of EV subpopulations as well as high-resolution single-EV measurements. An outlook is further provided on emerging opportunities, at the interface of biomarker discovery and technology innovation, to develop empowering nanoplasmonic EV platforms for personalized medicine. biosensing; bulk analysis; extracellular vesicles; nanoplasmonics; single-vesicle analysis.

Identifiers

PMID40391615
PMCPMC12536387

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.