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磁胶体抗体加速用于即时诊断的小细胞外囊泡的分离。

Magnetic Colloid Antibodies Accelerate Small Extracellular Vesicles Isolation for Point-of-Care Diagnostics.

机构信息

College of Engineering and Applied Sciences, Jiangsu Key Laboratory of Artificial Functional Materials, State Key Laboratory of Analytical Chemistry for Life Science, National Laboratory of Solid State Microstructures, Nanjing University, Nanjing 210023, China.

General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing 211166, China.

出版信息

Nano Lett. 2021 Mar 10;21(5):2001-2009. doi: 10.1021/acs.nanolett.0c04476. Epub 2021 Feb 16.

DOI:10.1021/acs.nanolett.0c04476
PMID:33591201
Abstract

Small extracellular vesicles (sEVs) are increasingly recognized as noninvasive diagnostic markers for many diseases. Hence, it is highly desirable to isolate sEVs rapidly for downstream molecular analyses. However, conventional methods for sEV isolation (such as ultracentrifugation and immune-based isolation) are time-consuming and expensive and require large sample volumes. Herein, we developed artificial magnetic colloid antibodies (MCAs) via surface imprinting technology for rapid isolation and analysis of sEVs. This approach enabled the rapid, purification-free, and low-cost isolation of sEVs based on size and shape recognition. The MCAs presented a higher capture yield in 20 min with more than 3-fold enrichment of sEVs compared with the ultracentrifugation method in 4 h. Moreover, the MCAs also proposed a reusability benefiting from the high stability of the organosilica recognition layer. By combining with volumetric bar-chart chip technology, this work provides a sensitive, rapid, and easy-to-use sEV detection platform for point-of-care (POC) diagnostics.

摘要

小细胞外囊泡(sEVs)越来越被认为是许多疾病的非侵入性诊断标志物。因此,快速分离 sEVs 以进行下游分子分析是非常理想的。然而,sEV 分离的传统方法(如超速离心和免疫分离)既耗时又昂贵,且需要大量的样本量。在此,我们通过表面印迹技术开发了人工磁性胶体抗体(MCAs),用于快速分离和分析 sEVs。这种方法基于大小和形状识别,实现了快速、无净化和低成本的 sEV 分离。与 4 小时的超速离心法相比,MCAs 在 20 分钟内以更高的捕获率,对 sEVs 的富集倍数超过 3 倍。此外,由于有机硅层具有高稳定性,MCAs 还具有可重复使用性。通过与容量条形芯片技术相结合,这项工作为即时诊断(POC)提供了一种灵敏、快速和易于使用的 sEV 检测平台。

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