DetectEV: A functional enzymatic assay to assess integrity and bioactivity of extracellular vesicles

The application of extracellular vesicles (EVs) as therapeutics or nanocarriers in cell-free therapies necessitates meticulous evaluations of different features, including their identity, bioactivity, batch-to-batch reproducibility, and stability. Given the inherent heterogeneity in EV preparations, this assessment demands sensitive functional assays to provide key quality control metrics, complementing established methods to ensure that EV preparations meet the required functionality and quality standards. Here, we introduce the detectEV assay, an enzymatic-based approach for assessing EV luminal cargo bioactivity and membrane integrity. This method is fast, cost-effective, and quantifiable through enzymatic units. Utilizing microalgae-derived EVs, known as nanoalgosomes, as model systems, we optimised the assay parameters and validated its sensitivity and specificity in quantifying the enzymatic activity of esterases within the EV lumen while also evaluating EV membrane integrity. Compared to conventional methods that assess physicochemical features of EVs, our single-step analysis efficiently detects batch-to-batch variations by evaluating changes in luminal cargo bioactivity and integrity across various EV samples, including differences under distinct storage conditions and following diverse isolation and exogenous loading methods, all using small sample sizes. The detectEV assay's application to various human-derived EV types demonstrated its versatility and potential universality. Additionally, the assay effectively predicted EV functionality, such as the antioxidant activity of different nanoalgosome batches. Our findings underscore the detectEV assay's utility in comprehensive characterization of EV functionality and integrity, enhancing batch-to-batch reproducibility and facilitating their therapeutic applications.

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Publication Details

Journal
Journal of Extracellular Vesicles
Published
2025-01-01
DOI
https://doi.org/10.1002/jev2.70030
Citations
18
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
14.51

Funders

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article

DetectEV: A functional enzymatic assay to assess integrity and bioactivity of extracellular vesicles

Paola Gargano, Angela Paterna, Daniele P. Romancino, Estella Rao et al.
18 citations
Journal of Extracellular Vesicles
Extracellular vesicles in disease
14.51
article

DetectEV: A functional enzymatic assay to assess integrity and bioactivity of extracellular vesicles

Paola Gargano, Angela Paterna, Daniele P. Romancino, Estella Rao, Antonella Bongiovanni, Samuele Raccosta, Monica Salamone, Giulio Ghersi, Giorgia Adamo, Mauro Manno, Sabrina Picciotto
article en
18 citations

Abstract

The application of extracellular vesicles (EVs) as therapeutics or nanocarriers in cell-free therapies necessitates meticulous evaluations of different features, including their identity, bioactivity, batch-to-batch reproducibility, and stability. Given the inherent heterogeneity in EV preparations, this assessment demands sensitive functional assays to provide key quality control metrics, complementing established methods to ensure that EV preparations meet the required functionality and quality standards. Here, we introduce the detectEV assay, an enzymatic-based approach for assessing EV luminal cargo bioactivity and membrane integrity. This method is fast, cost-effective, and quantifiable through enzymatic units. Utilizing microalgae-derived EVs, known as nanoalgosomes, as model systems, we optimised the assay parameters and validated its sensitivity and specificity in quantifying the enzymatic activity of esterases within the EV lumen while also evaluating EV membrane integrity. Compared to conventional methods that assess physicochemical features of EVs, our single-step analysis efficiently detects batch-to-batch variations by evaluating changes in luminal cargo bioactivity and integrity across various EV samples, including differences under distinct storage conditions and following diverse isolation and exogenous loading methods, all using small sample sizes. The detectEV assay's application to various human-derived EV types demonstrated its versatility and potential universality. Additionally, the assay effectively predicted EV functionality, such as the antioxidant activity of different nanoalgosome batches. Our findings underscore the detectEV assay's utility in comprehensive characterization of EV functionality and integrity, enhancing batch-to-batch reproducibility and facilitating their therapeutic applications.

Journal of Extracellular VesiclesVol. 14(1)
Institute for Biomedical Research and Innovation (IT), National Research Council (IT), University of Palermo (IT)
European Commission, Consiglio Nazionale delle Ricerche
Openalex Percentile: Top 1%
Extracellular vesicles in disease
14.51
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