Evidence map›Paper›PMID 42708923›Full record

ArticleACS nano2026

A Rapid Poly(ethylene glycol)-Assisted Magnetic Isolation Approach for High-Throughput Extracellular Vesicle Isolation and Subsequent Biomarker Analysis.

Li Sun, Leanne Duke, Cynthia Vied, Grace Hammel, Brandon Pate, Julia Wang, Yanping Zhang, Dai-Shi Tian, Jianqing Fan, Yi Ren

Abstract read
In one paragraph

Article in ACS nano, 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

10 authors.

Li SunDepartment of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida32306, United States.ORCID 0000-0001-8228-7487
Leanne DukeDepartment of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida32306, United States.
Cynthia ViedTranslational Science Laboratory, Florida State University, Tallahassee, Florida32306, United States.
Grace HammelDepartment of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida32306, United States.
Brandon PateInterdisciplinary Center for Biotechnology Research, Gene Expression & Genotyping, University of Florida, Gainesville, Florida32611, United States.
Julia WangDepartment of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida32306, United States.
Yanping ZhangInterdisciplinary Center for Biotechnology Research, Gene Expression & Genotyping, University of Florida, Gainesville, Florida32611, United States.
Dai-Shi TianDepartment of Neurology, Tongji Hospital of Tongji Medical College, and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan430030, China.
Jianqing FanStatistical Laboratory, Princeton University, Princeton, New Jersey08544, United States.
Yi RenDepartment of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida32306, United States.ORCID 0000-0002-0176-493X

Funding

Research Education Component CoreP30AG072958 · NIA · DUKE UNIVERSITY · PI Heather E. Whitson · 2021 to 2026
$24.1M
Emerging role of exosomes derived from peripheral immune cells in regulation of neuroinflammation in response to neural injuryR21NS123595 · NINDS · FLORIDA STATE UNIVERSITY · PI REN, YI · 2022 to 2023
$411k
Division of Mathematical Sciences DMS-2053832Division of Mathematical Sciences DMS-2054014National Institutes of Health (NIH) R21NS123595NIA NIH HHS P30 AG072958NIA NIH HHS P30AG072958NINDS NIH HHS R21 NS123595
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are crucial mediators of intercellular communication and have the potential to serve as biomarkers for disease diagnosis and therapeutic monitoring. However, most EV isolation methods often require large sample volumes and specialized instruments or involve trade-offs between purity, yield, cost, and scalability. We developed MagPEG, a workflow that combines poly(ethylene glycol) (PEG)-mediated EV aggregation with magnetic beads to provide a simple, reproducible alternative to ultracentrifugation, size-exclusion chromatography, and commercial precipitation kits. Our optimization experiments clarified the PEG concentration, ionic strength, and bead surface chemistry that collectively influence EV aggregation, capture efficiency, and contaminant coprecipitation, allowing us to define conditions that improve purity while maintaining high recovery. Compared with commonly used methods, MagPEG produced EVs with comparable size distribution, EV markers, and proteomic profiles while relying only on standard laboratory supplies. A key feature of the platform is that EVs and EV-associated DNA, RNA, and proteins can be sequentially extracted from the same bead-bound material, reducing sample loss and hands-on time and enabling multiomic analysis for limited clinical or small animal samples. MagPEG is compatible with downstream applications including proteomics, bead-based assays, and miRNA quantification. When applied to human serum, the method supported high-throughput EV proteomic profiling and enabled the identification of Alzheimer's disease-associated protein signatures, illustrating its utility for biomarker discovery. Overall, our results establish MagPEG as a powerful, rapid, scalable, and high-throughput solution for translational applications in biomarker discovery.

Indexed as

Extracellular VesiclesHigh-Throughput Screening AssaysPolyethylene GlycolsAnimalsBiomarkersHumansProteomicsBiomarkersPolyethylene GlycolsBiomarker ProfilingExtracellular VesiclesHigh-throughputMagnetic BeadsPEG

Identifiers

PMID42708923
PMCPMC13565303

What Socratic holds

Textmetadata
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.