High-Efficiency Capture and Proteomic Analysis of Plasma-Derived Extracellular Vesicles through Affinity Purification

Plasma-derived extracellular vesicles (EVs) are promising sources of biomarkers. It is still a challenge to isolate EVs from a small amount of human plasma for downstream proteomic analysis. The isolation process is hindered by contamination with high-abundance blood proteins and lipoprotein particles, which adversely impact proteomic analyses. Moreover, although EV immune-isolation via magnetic beads often integrates with flow sorting and Western blotting (WB), it lacks compatibility with nanoparticle tracking analysis (NTA) and proteomic analysis. To address these issues, we have developed a functional affinity magnetic bead, EVlent (Extracellular Vesicles isoLated Efficiently, Naturally, and Totally), enabling the rapid and efficient isolation of EVs from plasma. By optimizing the quantities of magnetic beads and plasma used, we characterized the isolated EVs through WB, NTA, and transmission electron microscopy (TEM), showing the successful isolation of EVs from plasma. Proteomic analysis of these EVs identified over 2000 proteins and 15,000 peptides from 100 μL of plasma and nearly 1000 proteins from trace samples as small as 5 μL. Additionally, this isolation method significantly reduced contaminants, including plasma proteins and lipoproteins, compared to ultracentrifugation. Finally, we applied this strategy to plasma samples of healthy individuals and those with Parkinson's disease, identifying four potential biomarkers that provide promising guidance for clinical diagnosis.

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Publication Details

Journal
Analytical Chemistry
Published
2025-02-05
DOI
https://doi.org/10.1021/acs.analchem.4c04269
Citations
10
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
8.06

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High-Efficiency Capture and Proteomic Analysis of Plasma-Derived Extracellular Vesicles through Affinity Purification

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High-Efficiency Capture and Proteomic Analysis of Plasma-Derived Extracellular Vesicles through Affinity Purification

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article en
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Abstract

Plasma-derived extracellular vesicles (EVs) are promising sources of biomarkers. It is still a challenge to isolate EVs from a small amount of human plasma for downstream proteomic analysis. The isolation process is hindered by contamination with high-abundance blood proteins and lipoprotein particles, which adversely impact proteomic analyses. Moreover, although EV immune-isolation via magnetic beads often integrates with flow sorting and Western blotting (WB), it lacks compatibility with nanoparticle tracking analysis (NTA) and proteomic analysis. To address these issues, we have developed a functional affinity magnetic bead, EVlent (Extracellular Vesicles isoLated Efficiently, Naturally, and Totally), enabling the rapid and efficient isolation of EVs from plasma. By optimizing the quantities of magnetic beads and plasma used, we characterized the isolated EVs through WB, NTA, and transmission electron microscopy (TEM), showing the successful isolation of EVs from plasma. Proteomic analysis of these EVs identified over 2000 proteins and 15,000 peptides from 100 μL of plasma and nearly 1000 proteins from trace samples as small as 5 μL. Additionally, this isolation method significantly reduced contaminants, including plasma proteins and lipoproteins, compared to ultracentrifugation. Finally, we applied this strategy to plasma samples of healthy individuals and those with Parkinson's disease, identifying four potential biomarkers that provide promising guidance for clinical diagnosis.

Analytical ChemistryVol. 97(9)
Nanjing University of Chinese Medicine (CN), Harbin Medical University (CN), Maastricht University (NL), Laboratory of Molecular Genetics (PL), Honghu People’s Hospital (CN), Zhongda Hospital Southeast University (CN), Nanjing Drum Tower Hospital (CN), Evive Biotech (China) (CN), Second Affiliated Hospital of Nanjing Medical University (CN), Shanghai Clinical Research Center (CN), Laboratoire de Génétique Médicale (FR), Southeast University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 2%
Extracellular vesicles in disease
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