A decision‐making tool for navigating extracellular vesicle research and product development

Due to their intercellular communication properties and involvement in a wide range of biological processes, extracellular vesicles (EVs) are increasingly being studied and exploited for different applications. Nevertheless, their complex nature and heterogeneity, as well as the challenges related to their purification and characterization procedures, require a cautious assessment of the qualitative and quantitative parameters that need to be monitored. This translates into a multitude of choices and putative solutions that any EV researcher must confront in both research and translational environments. In this respect, decision-making tools may help assess various options, weigh pros and cons, and ultimately arrive at a thought-out decision that considers both the best fit-to-source and fit-to-scope EV application(s). Here, we present a multi-criteria EV decision-making grid (EV-DMG) as a novel, efficient, customizable, and easy-to-use tool to support EV research and innovation. By identifying and weighing key assessment criteria for comparing distinct EV-based preparations and related processes, our EV-DMG may assist any EV community member in making informed, traceable, and reproducible decisions regarding the management of EV sources or samples. Ultimately, this EV-DMG may guide the adoption of the most suitable EV production and analytical pipelines for targeting a defined aim or application.

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Publication Details

Journal
Journal of Extracellular Vesicles
Published
2024-12-01
DOI
https://doi.org/10.1002/jev2.70021
Citations
12
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
2.81

Funders

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article

A decision‐making tool for navigating extracellular vesicle research and product development

Paolo Bergese, Nataša Zarovni, Antonella Bongiovanni, Samuele Raccosta et al.
12 citations
Journal of Extracellular Vesicles
Extracellular vesicles in disease
2.81
article

A decision‐making tool for navigating extracellular vesicle research and product development

Paolo Bergese, Nataša Zarovni, Antonella Bongiovanni, Samuele Raccosta, Francesca Loria, Giorgia Adamo, Giovanna L. Liguori, Mauro Manno, Sabrina Picciotto, Andrea Zendrini
article en
12 citations

Abstract

Due to their intercellular communication properties and involvement in a wide range of biological processes, extracellular vesicles (EVs) are increasingly being studied and exploited for different applications. Nevertheless, their complex nature and heterogeneity, as well as the challenges related to their purification and characterization procedures, require a cautious assessment of the qualitative and quantitative parameters that need to be monitored. This translates into a multitude of choices and putative solutions that any EV researcher must confront in both research and translational environments. In this respect, decision-making tools may help assess various options, weigh pros and cons, and ultimately arrive at a thought-out decision that considers both the best fit-to-source and fit-to-scope EV application(s). Here, we present a multi-criteria EV decision-making grid (EV-DMG) as a novel, efficient, customizable, and easy-to-use tool to support EV research and innovation. By identifying and weighing key assessment criteria for comparing distinct EV-based preparations and related processes, our EV-DMG may assist any EV community member in making informed, traceable, and reproducible decisions regarding the management of EV sources or samples. Ultimately, this EV-DMG may guide the adoption of the most suitable EV production and analytical pipelines for targeting a defined aim or application.

Journal of Extracellular VesiclesVol. 13(12)
Tallinn University of Technology (EE), Consorzio Interuniversitario per lo Sviluppo dei Sistemi a Grande Interfase (IT), Institute for Biomedical Research and Innovation (IT), Institute of Genetics and Biophysics (IT), HansaBioMed (Estonia) (EE), National Research Council (IT), University of Brescia (IT)
European Commission, Horizon 2020 Framework Programme
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Extracellular vesicles in disease
2.81
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