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- Title
Optimizing cell therapy by sorting cells with high extracellular vesicle secretion.
- Authors
Koo, Doyeon; Cheng, Xiao; Udani, Shreya; Baghdasarian, Sevana; Zhu, Dashuai; Li, Junlang; Hall, Brian; Tsubamoto, Natalie; Hu, Shiqi; Ko, Jina; Cheng, Ke; Di Carlo, Dino
- Abstract
Critical challenges remain in clinical translation of extracellular vesicle (EV)-based therapeutics due to the absence of methods to enrich cells with high EV secretion. Current cell sorting methods are limited to surface markers that are uncorrelated to EV secretion or therapeutic potential. Here, we utilize a nanovial technology for enrichment of millions of single cells based on EV secretion. This approach is applied to select mesenchymal stem cells (MSCs) with high EV secretion as therapeutic cells for improving treatment. The selected MSCs exhibit distinct transcriptional profiles associated with EV biogenesis and vascular regeneration and maintain high levels of EV secretion after sorting and regrowth. In a mouse model of myocardial infarction, treatment with high-secreting MSCs improves heart functions compared to treatment with low-secreting MSCs. These findings highlight the therapeutic importance of EV secretion in regenerative cell therapies and suggest that selecting cells based on EV secretion could enhance therapeutic efficacy. Extracellular vesicles have been exploited as potential therapeutic agents. Here, the authors apply a nanovial technology to select sub-populations of cells that secrete high levels of extracellular vesicles, leading to improved therapeutic efficacy when delivered in vivo.
- Subjects
EXTRACELLULAR vesicles; CELLULAR therapy; SECRETION; MESENCHYMAL stem cells; MYOCARDIAL infarction; TREATMENT effectiveness
- Publication
Nature Communications, 2024, Vol 15, Issue 1, p1
- ISSN
2041-1723
- Publication type
Article
- DOI
10.1038/s41467-024-49123-1