Dosing extracellular vesicles

被引:217
|
作者
Gupta, Dhanu [1 ]
Zickler, Antje Maria [1 ]
El Andaloussi, Samir [1 ]
机构
[1] Karolinska Inst, Dept Lab Med, Ctr Biomol & Cellular Med, Stockholm, Sweden
基金
欧盟地平线“2020”;
关键词
Exosome; Drug delivery; EV therapeutics; Engineered EVs; Therapeutic dosing; CELL-DERIVED EXOSOMES; NANOPARTICLE TRACKING ANALYSIS; IMPROVE CARDIAC-FUNCTION; DRUG-DELIVERY VEHICLES; FLOW-CYTOMETRY; IN-VITRO; MEDIATED DELIVERY; URINARY EXOSOMES; DENDRITIC CELLS; STROMAL CELLS;
D O I
10.1016/j.addr.2021.113961
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Extracellular vesicles (EVs) are natural nanoparticles containing biologically active molecules. They are important mediators of intercellular communication and can be exploited therapeutically by various bioengineering approaches. To accurately determine the therapeutic potential of EVs in pre-clinical and clinical settings, dependable dosing strategies are of utmost importance. However, the field suffers from inconsistencies comprising all areas of EV production and characterisation. Therefore, a standardised and well-defined process in EV quantification, key to reliable therapeutic EV dosing, remains to be established. Here, we examined 64 pre-clinical studies for EV-based therapeutics with respect to their applied EV dosing strategies. We identified variations in effective dosing strategies irrespective of the applied EV purification method and cell source. Moreover, we found dose discrepancies depending on the disease model, where EV doses were selected without accounting for published EV pharmacokinetics or biodistribution patterns. We therefore propose to focus on qualitative aspects when dosing EV-based therapeutics, such as the potency of the therapeutic cargo entity. This will ensure batch-to-batch reliability and enhance reproducibility between applications. Furthermore, it will allow for the successful benchmarking of EV-based therapeutics compared to other nanoparticle drug delivery systems, such as viral vector based or lipid-based nanoparticle approaches. (c) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/).
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页数:13
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