Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, 27599, USA.
Nat Commun. 2024 Jun 7;15(1):4870. doi: 10.1038/s41467-024-49123-1.
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.
由于缺乏富集高细胞外囊泡 (EV) 分泌细胞的方法,EV 治疗的临床转化仍面临重大挑战。目前的细胞分选方法仅限于与 EV 分泌或治疗潜力无关的表面标记物。在这里,我们利用纳米管技术基于 EV 分泌来富集数百万个单细胞。该方法用于选择具有高 EV 分泌能力的间充质干细胞 (MSC) 作为治疗细胞,以改善治疗效果。选择的 MSC 表现出与 EV 生物发生和血管再生相关的独特转录谱,并在分选和再生长后保持高水平的 EV 分泌。在心肌梗死的小鼠模型中,与低分泌 MSC 治疗相比,高分泌 MSC 治疗可改善心脏功能。这些发现突出了 EV 分泌在再生细胞治疗中的治疗重要性,并表明基于 EV 分泌选择细胞可以增强治疗效果。