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Systematic Evaluation of Human Plasma Extracellular Vesicle Isolation and Physical Stability by Comparing Ultracentrifugation and Magnetic Bead-Based Methods

超离心机 细胞外小泡 Zeta电位 纳米粒子跟踪分析 胞外囊泡 化学 微泡 外体 分离(微生物学) 小泡 粒径 脂质双层 生物物理学 色谱法 离心 纳米技术 人血浆 蛋白质组学 分析超速离心 超声 细胞外 磁性纳米粒子 细胞生物学 透射电子显微镜
作者
Hao Deng,Yuhang Du,Nanjing Yu,Ziran Zhao,Shixin Xu
出处
期刊:Biopreservation and Biobanking [Mary Ann Liebert, Inc.]
被引量:2
标识
DOI:10.1177/19475535251404797
摘要

Introduction: Extracellular vesicles (EVs) are lipid bilayer particles released by all cell types, carrying cargos that reflect the cellular states of their origin. Recently, EVs are increasingly recognized as valuable biomarkers and therapeutic vectors in oncology, but their clinical translation is limited by variability in isolation methods and uncertainty regarding long-term storage physical stability. Methods: We systematically compared human plasma EVs isolated by ultracentrifugation (UC) or magnetic bead (MB)-based methods under immediate analysis, stable freezing storage, and repeated freeze–thaw conditions. The morphology and protein profiling of EVs were characterized by transmission electron microscopy (TEM) and Western blotting (WB), respectively. EV concentration, particle size, and zeta potential were quantified by particle size analyzer. Results: TEM and WB analyses of human plasma EVs confirmed the efficacy of both the UC and MB isolation methods. UC-isolated EVs are of high yield but low physical stability, featuring size reduction and a shift toward more negative zeta potential values after freeze–thaw cycles. Fresh UC-EVs displayed heterogeneous size profiles, whereas freeze–thawed samples shifted to a dominant peak, consisting of small particles with increased counts. Although lower in yield, MB-isolated EVs retained their physical stability across all conditions. Conclusion: MB-based EV isolation offers physical stability for standardized diagnostic workflows, whereas UC-based EV isolation provides high yield for discovery studies but vulnerable to freeze–thaw stress. These findings provide an evidence-based framework for selecting EV isolation and storage methods to match downstream applications, guiding the standardization of EVs workflows for future precision oncology and personalized medicine.
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