Model-Dependent EV Biomarker Signatures: From Culture Systems to Translational Perspectives

Extracellular Vesicles (EVs) have emerged as key mediators of intercellular communication and, more recently, as promising biomarkers for disease diagnosis, prognosis, and therapeutic monitoring. In vitro cellular models are essential tools for investigating EV biogenesis, cargo composition, and biological functions. This review provides an overview of EV biology, including their classification, molecular content, biological functions and clinical relevance. It summarizes the main two-dimensional (2D) and three-dimensional (3D) culture systems currently used in EV research. The literature suggests that 3D models more closely recapitulate in vivo architecture, whereas conventional 2D cultures may introduce biological biases that affect experimental outcomes. While these aspects are presented from a simplified perspective to provide necessary background, the review primarily evaluates whether and how culture model selection influences EV production and features. In the final sections, we summarize and discuss evidence comparing EV yield, molecular cargo, functional properties, and biomarker profiles from 2D and 3D systems, and how they reflect in vivo settings. By examining these differences, we discuss their implications for interpreting EV-based studies and the importance of model choice in identifying and validating reliable EV biomarkers.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2026-10-20
DOI
https://doi.org/10.3390/ijms27209325
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Model-Dependent EV Biomarker Signatures: From Culture Systems to Translational Perspectives

Vincenza Dolo, Ilaria Giusti, Sandra D’Ascenzo, Simona Taverna et al.
International Journal of Molecular Sciences
Extracellular vesicles in disease
article

Model-Dependent EV Biomarker Signatures: From Culture Systems to Translational Perspectives

Vincenza Dolo, Ilaria Giusti, Sandra D’Ascenzo, Simona Taverna, Giuseppina Poppa, Giulia di Fazio
article en

Abstract

Extracellular Vesicles (EVs) have emerged as key mediators of intercellular communication and, more recently, as promising biomarkers for disease diagnosis, prognosis, and therapeutic monitoring. In vitro cellular models are essential tools for investigating EV biogenesis, cargo composition, and biological functions. This review provides an overview of EV biology, including their classification, molecular content, biological functions and clinical relevance. It summarizes the main two-dimensional (2D) and three-dimensional (3D) culture systems currently used in EV research. The literature suggests that 3D models more closely recapitulate in vivo architecture, whereas conventional 2D cultures may introduce biological biases that affect experimental outcomes. While these aspects are presented from a simplified perspective to provide necessary background, the review primarily evaluates whether and how culture model selection influences EV production and features. In the final sections, we summarize and discuss evidence comparing EV yield, molecular cargo, functional properties, and biomarker profiles from 2D and 3D systems, and how they reflect in vivo settings. By examining these differences, we discuss their implications for interpreting EV-based studies and the importance of model choice in identifying and validating reliable EV biomarkers.

International Journal of Molecular SciencesVol. 27(20)
University of L'Aquila (IT), Istituto di Farmacologia Traslazionale (IT), National Research Council (IT)
Openalex Percentile: Top 23%
Extracellular vesicles in disease
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.