ArticleProteomes2025
Comparative Analysis of Plasma Extracellular Vesicle Isolation Methods for Purity Assessment and Biomarker Discovery.
Article in Proteomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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
5 citing papers in PubMed.
- The Role of EVs in the Aging Hematopoietic System.Aging cell · 2026Review
- Integrated Epidemiological and Extracellular Vesicle Profiling Identifies miR-126-3p, miR-21-5p, miR-92a-3p and SNAIL as Candidate Biomarkers of Endothelial Dysfunction and Cardio-Metabolic Risk.International journal of molecular sciences · 2026Article
- Systematic Evaluation of Depletion and Enrichment Technologies for Platelet-Free Plasma Proteomics.Journal of proteome research · 2026Article
- Frozen melanoma tissues yield extracellular vesicles with preserved diagnostic and immunogenic properties.BMC medicine · 2026Article
- Extracellular Vesicles in B-Cell Non-Hodgkin Lymphomas: Pathogenesis, Therapeutic Implications, and Biomarker Potential.Biomedicines · 2026Review
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
backgroundExtracellular vesicles (EVs) are an important source of blood biomarkers and are emerging as next-generation therapeutics. Demonstrating the purity of isolated EVs is essential for applications ranging from proteomics-based biomarker discovery to biomanufacturing. In this study, we systematically evaluated multiple EV isolation methods for plasma and developed a scoring method to identify the approach best suited for proteomics.
methodsCommonly used enrichment techniques, including size-exclusion chromatography (SEC) and precipitation-based methods, were compared against the starting plasma in terms of particle yield and size, proteomic overlap, depletion of abundant plasma proteins, and enrichment of EV markers and unique proteins. To enable rigorous purity assessment, we established a targeted parallel reaction monitoring (PRM) mass spectrometry assay that quantified key EV markers and contaminant proteins across preparations.
resultsAmong the methods tested, SEC showed the greatest enrichment of EV markers and unique proteins, with the lowest level of contaminants, resulting in the highest overall purity scores. SEC also allowed for the detection of EV-free proteins. Other methods, by contrast, performed sub-optimally and were less reliable for proteomics-driven biomarker discovery.
conclusionsSEC provides the most EV-enriched plasma isolates for proteomics information, with minimal contamination from plasma proteins. The PRM-based purity scoring offers an objective means of benchmarking EV preparations and may help standardize EV isolation quality for both biomarker discovery and therapeutic manufacturing.
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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.