ArticleNature communications2026
High-throughput single-vesicle imaging platform for direct extracellular vesicle profiling of human plasma.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Markers and Enrichment Strategies for Brain-Derived Extracellular Vesicles: Current Evidence, Limitations and Future Directions.Neuromolecular medicine · 2026Review
- High-throughput single-vesicle imaging platform for direct extracellular vesicle profiling of human plasma.Nature communications · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Extracellular vesicles (EVs) are nanoscale particles secreted by cells that carry diverse biomolecules reflecting their cell of origin. Single-EV imaging approaches have enabled precise characterization of heterogeneous EV populations; however, their broader application is limited by low-throughput workflows and cumbersome EV isolation procedures. Here, we introduce a streamlined, high-throughput imaging platform capable of analyzing protein expression of individual intact EVs directly from unprocessed biological samples at the single-vesicle level. Our approach employs a functionalized glass surface optimized for high-throughput single-EV imaging, facilitating specific capture of EVs and enabling integration with existing automation technologies. We evaluate the platform's analytical capabilities by characterizing various recombinant EV samples and demonstrate its clinical utility by analyzing EVs in a total of 191 human plasma samples with high-throughput efficiency. This technology will offer a pathway for high-precision and large-scale characterization of EVs in clinical samples.
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Registered trials
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.