Evidence Hub

A systematic review and meta-analysis of clinical trials assessing safety and efficacy of human extracellular vesicle-based therapy

Van Delen M, Derdelinckx J, Wouters K, Nelissen I, Cools N

Journal of extracellular vesicles, 2024

115 citations

Abstract

Nowadays, it has become clear that extracellular vesicles (EVs) are not a cellular waste disposal vesicle but are an essential part of an intercellular communication system. Besides the use of EVs in biomarker studies and diagnostics, the potential of EV-therapeutics has been seen by many. They provide unique properties for disease therapy, including strong immune-modulatory actions, the possibility of engineering, low immunogenicity, and the capability of crossing biological barriers. Proof-of-concept of EV-therapeutics for various pathologies has been achieved in preclinical studies. However, clinical trials with EVs have only been emerging slowly. Here, we aim to provide a comprehensive overview of the current state-of-the-art concerning clinical studies using EVs in human therapy. By approaching the current knowledge in a systematic manner, we were able to include 21 reports for meta-analysis of safety and evaluation of efficacy outcomes. Overall, we have shown that EV-based therapy is safe with a low incidence of serious adverse events (SAE; 0.7% (95%-CI: 0.1-5.2%), and adverse events (AE; 4.4% (95%-CI: 0.7-22.2%). Subgroup analysis showed no significant difference in SAE when comparing autologous versus allogeneic administration, as well as engineered versus non-engineered EV products. A significantly higher number of AE was seen in autologous versus allogeneic administration. However, the clinical relevance remains questionable. Evaluation of the clinical outcomes of…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free