1. A critical systematic review of extracellular vesicle clinical trials
- Author
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Mizenko, Rachel R, Feaver, Madison, Bozkurt, Batuhan T, Lowe, Neona, Nguyen, Bryan, Huang, Kuan‐Wei, Wang, Aijun, and Carney, Randy P
- Subjects
Biochemistry and Cell Biology ,Biological Sciences ,Cancer ,8.4 Research design and methodologies (health services) ,Generic health relevance ,Humans ,Extracellular Vesicles ,Clinical Trials as Topic ,Neoplasms ,Mesenchymal Stem Cells ,diagnostics ,drug delivery vehicles ,exosomes ,heterogeneity ,therapeutics ,Biochemistry and cell biology - Abstract
This systematic review examines the landscape of extracellular vesicle (EV)-related clinical trials to elucidate the field's trends in clinical applications and EV-related methodologies, with an additional focus on the acknowledgement of EV subpopulations. By analysing data from public reporting repositories, we catalogued 471 EV-related clinical trials to date, with indications for over 200 diseases. Diagnostics and companion diagnostics represented the bulk of EV-related clinical trials with cancer being the most frequent application. EV-related therapeutics trials mainly utilized mesenchymal stromal cell (MSC) EVs and were most frequently used for treatment of respiratory illnesses. Ultracentrifugation and RNA-sequencing were the most common isolation and characterization techniques; however, methodology for each was not frequently reported in study records. Most of the reported characterization relied on bulk characterization of EV isolates, with only 11% utilizing EV subpopulations in their experimental design. While this may be connected to a lack of available techniques suitable for clinical implementation, it also highlights the opportunity for use of EV subpopulations to improve translational efforts. As academic research identifies more chemically distinct subpopulations and technologies for their enrichment, we forecast to more refined EV trials in the near future. This review emphasizes the need for meticulous methodological reporting and consideration of EV subpopulations to enhance the translational success of EV-based interventions, pointing towards a paradigm shift in personalized medicine.
- Published
- 2024