Optimizing cell therapy by sorting cells with high extracellular vesicle secretion

Area of Science:

• Regenerative Medicine
• Biotechnology
• Cell Therapy

Background:

• Clinical translation of extracellular vesicle (EV)-based therapeutics faces challenges due to lack of methods to enrich high EV-secreting cells.
• Current cell sorting techniques rely on surface markers, which do not correlate with EV secretion levels or therapeutic potential.

Purpose of the Study:

• To develop and apply a nanovial technology for enriching single cells based on their EV secretion rates.
• To investigate the therapeutic potential of high EV-secreting mesenchymal stem cells (MSCs) for regenerative medicine.

Main Methods:

• Utilized nanovial technology to isolate and enrich millions of single cells based on EV secretion.
• Applied the technology to select high EV-secreting MSCs.
• Analyzed transcriptional profiles of selected MSCs.
• Evaluated the efficacy of high-secreting MSCs in a mouse model of myocardial infarction.

Main Results:

• Successfully enriched millions of single cells based on EV secretion using nanovial technology.
• Identified distinct transcriptional profiles in high-secreting MSCs related to EV biogenesis and vascular regeneration.
• Demonstrated that selected MSCs maintain high EV secretion after sorting and regrowth.
• Showcased improved heart function in mice treated with high-secreting MSCs compared to low-secreting MSCs post-myocardial infarction.

Conclusions:

• Selecting cells based on EV secretion is a viable strategy to enhance the efficacy of regenerative cell therapies.
• Nanovial technology offers a novel method for enriching potent EV-secreting cells for therapeutic applications.
• EV secretion is a critical factor in the therapeutic success of MSC-based treatments.