正交分析揭示了细胞外囊泡货物装载的不一致性

Neona M. Lowe, Rachel R. Mizenko, Bryan B. Nguyen, Kwan Lun Chiu, Vishalakshi Arun, Alyssa Panitch, Randy P. Carney
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摘要

自从细胞外囊泡(EVs)成为一种前景广阔的给药系统以来,在临床前和临床研究中,人们采用了多种方法在细胞外囊泡中添加活性药物成分(API)。然而,目前还没有一种工程化的 EV 制剂获准用于人体,造成这一障碍的部分原因是 EV 本身的异质性。原料药的装载量很少在单个囊泡的理化性质测量中进行评估,而很可能是以异质性的方式给药,这不利于产品的一致性。在这里,我们采用了一整套单颗粒解析方法来确定罗丹明 6G(R6G)替代货物模拟亲水性小分子药物在四种常见原料药装载方法中的装载量:超声、电穿孔、冻融循环和被动孵育。评估了EV的装载效率和物理性质变化,以及与常见EV相关四泛蛋白(即CD63、CD81和CD9)的共定位,以深入了解EV亚群。声波处理的装载效率最高,但颗粒产量明显降低,而电穿孔处理的装载API颗粒数量最多,但效率较低。此外,在一种给定的方法中,重复运行的结果往往不一致,这表明很难开发出一种严格的装载方法,对不同亚群的 EV 进行一致的装载。这项工作强调了所选量化指标如何影响明显结论的重要性,以及单颗粒表征 EV 负载的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Orthogonal analysis reveals inconsistencies in cargo loading of extracellular vesicles

Orthogonal analysis reveals inconsistencies in cargo loading of extracellular vesicles

Since extracellular vesicles (EVs) have emerged as a promising drug delivery system, diverse methods have been used to load them with active pharmaceutical ingredients (API) in preclinical and clinical studies. However, there is yet to be an engineered EV formulation approved for human use, a barrier driven in part by the intrinsic heterogeneity of EVs. API loading is rarely assessed in the context of single vesicle measurements of physicochemical properties but is likely administered in a heterogeneous fashion to the detriment of a consistent product. Here, we applied a suite of single-particle resolution methods to determine the loading of rhodamine 6G (R6G) surrogate cargo mimicking hydrophilic small molecule drugs across four common API loading methods: sonication, electroporation, freeze-thaw cycling and passive incubation. Loading efficiencies and alterations in the physical properties of EVs were assessed, as well as co-localization with common EV-associated tetraspanins (i.e., CD63, CD81 and CD9) for insight into EV subpopulations. Sonication had the highest loading efficiency, yet significantly decreased particle yield, while electroporation led to the greatest number of loaded API particles, albeit at a lower efficiency. Moreover, results were often inconsistent between repeated runs within a given method, demonstrating the difficulty in developing a rigorous loading method that consistently loaded EVs across their heterogeneous subpopulations. This work highlights the significance of how chosen quantification metrics can impact apparent conclusions and the importance of single-particle characterization of EV loading.

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