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 amultitude of choices and putative solutions that any EV researcher must confront in both research and translational environments. In this respect, decision-making toolsmay 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.

A decision-making tool to navigate through Extracellular Vesicle research and product development

Sabrina Picciotto;Giorgia Adamo;Samuele Raccosta;Mauro Manno;Giovanna L. Liguori;Antonella Bongiovanni;
2024

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 amultitude of choices and putative solutions that any EV researcher must confront in both research and translational environments. In this respect, decision-making toolsmay 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.
2024
Istituto di genetica e biofisica "Adriano Buzzati Traverso"- IGB - Sede Napoli
Istituto per la Ricerca e l'Innovazione Biomedica -IRIB
Istituto di Biofisica - IBF
decision-making tools, extracellular vesicles, multi-criteria decision-making, product development, quality control, research and development, responsible research and innovation
File in questo prodotto:
File Dimensione Formato  
JEV2-13-e70021.pdf

accesso aperto

Licenza: Creative commons
Dimensione 2.51 MB
Formato Adobe PDF
2.51 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/520457
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact