Isolation of Small Extracellular Vesicles Derived from Mesenchymal Stem Cells from Large-Volume Samples with GMP Compliance for Clinical Trials

Small extracellular vesicles (sEV) derived from mesenchymal stem cells (MSC-sEVs) have been underscored as a cell-free treatment modality with minimal adverse effects. In contrast, traditional extraction methods such as ultracentrifugation and size-exclusion chromatography are limited by their time intensity, cost, and scalability. To overcome these limitations, we propose a method integrating a hemodialyzer and ultracentrifugation. This approach utilizes a hemodialysis device with a 100 kDa molecular weight cut-off (MWCO) membrane, which selectively concentrates sEVs while filtering out a plethora of proteins, thereby enhancing the yield and purity of sEVs. This initial purification step is followed by ultracentrifugation to further refine the sEV preparation. The integration of these two technologies not only significantly reduced the time spent on the entire process but also ensured compliance with good manufacturing practice (GMP) standards. The method here demonstrates high efficiency in isolating sEVs from a large volume of samples, offering a significant advancement over traditional methods. This protocol holds promise for accelerating the translation of EV-based therapies into clinical practice by providing a scalable, cost-effective, and GMP-compliant solution.

Authors

Institutions

Publication Details

Journal
Journal of Visualized Experiments
Published
2025-03-28
DOI
https://doi.org/10.3791/67644
Citations
1
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Isolation of Small Extracellular Vesicles Derived from Mesenchymal Stem Cells from Large-Volume Samples with GMP Compliance for Clinical Trials

Qiongfang Zhang, Chunge Ren, Yixiao Zhou, Hongjia Zhang et al.
1 citations
Journal of Visualized Experiments
Extracellular vesicles in disease
0.81
article

Isolation of Small Extracellular Vesicles Derived from Mesenchymal Stem Cells from Large-Volume Samples with GMP Compliance for Clinical Trials

Qiongfang Zhang, Chunge Ren, Yixiao Zhou, Hongjia Zhang, Qin Niu, Baishijiao Bian, Mei Chen, Yong Liu, Yanxia Wang, Pan Xie, Bianbaduojie
article en
1 citations

Abstract

Small extracellular vesicles (sEV) derived from mesenchymal stem cells (MSC-sEVs) have been underscored as a cell-free treatment modality with minimal adverse effects. In contrast, traditional extraction methods such as ultracentrifugation and size-exclusion chromatography are limited by their time intensity, cost, and scalability. To overcome these limitations, we propose a method integrating a hemodialyzer and ultracentrifugation. This approach utilizes a hemodialysis device with a 100 kDa molecular weight cut-off (MWCO) membrane, which selectively concentrates sEVs while filtering out a plethora of proteins, thereby enhancing the yield and purity of sEVs. This initial purification step is followed by ultracentrifugation to further refine the sEV preparation. The integration of these two technologies not only significantly reduced the time spent on the entire process but also ensured compliance with good manufacturing practice (GMP) standards. The method here demonstrates high efficiency in isolating sEVs from a large volume of samples, offering a significant advancement over traditional methods. This protocol holds promise for accelerating the translation of EV-based therapies into clinical practice by providing a scalable, cost-effective, and GMP-compliant solution.

Journal of Visualized Experiments(217)
Army Medical University (CN), Daping Hospital (CN), Xinqiao Hospital (CN), Southwest Hospital (CN)
Partnerships for the goals
Openalex Percentile: Top 30%
Extracellular vesicles in disease
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.