Laboratory of Stem Cells and Tissue Regeneration, Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, 145, Anam-ro, Seongbuk-gu, West building of Life Sciences, Seoul, 02841, South Korea.
Tissue Eng Regen Med. 2022 Feb;19(1):19-33. doi: 10.1007/s13770-021-00406-4. Epub 2021 Nov 24.
Increasing evidence suggests that stem cells or stem cell-derived cells may contribute to tissue repair, not only by replacing lost tissue but also by delivering complex sets of secretory molecules, called secretomes, into host injured tissues. In recent years, extracellular vesicles (EVs) have gained much attention for their diverse and important roles in a wide range of pathophysiological processes. EVs are released from most types of cells and mediates cell-cell communication by activating receptors on target cells or by being taken up by recipient cells. EVs, including microvesicles and exosomes, encapsulate and carry proteins, nucleic acids, and lipids in the lumen and on the cell surface. Thus, EV-mediated intercellular communication has been extensively studied across various biological processes. While a number of investigations has been conducted in different tissues and body fluids, the field lacks a systematic review on stem cell-derived EVs, especially regarding their roles in stemness and differentiation. Here, we provide an overview of the pathophysiological roles of EVs and summarize recent findings focusing on EVs released from various types of stem cells. We also highlight emerging evidence for the potential implication of EVs in self-renewal, differentiation, and reprograming and discuss the benefits and limitations in translational approaches.
越来越多的证据表明,干细胞或其衍生细胞可能通过向宿主受损组织中输送复杂的分泌分子(称为分泌组),不仅可以替代丢失的组织,还可以促进组织修复。近年来,细胞外囊泡 (EV) 因其在广泛的病理生理过程中的多种重要作用而备受关注。EV 是由大多数类型的细胞释放的,并通过激活靶细胞上的受体或被受体细胞摄取来介导细胞间通讯。EV 包括微泡和外泌体,在腔和细胞表面包封并携带蛋白质、核酸和脂质。因此,EV 介导的细胞间通讯已在各种生物学过程中得到广泛研究。虽然已经在不同的组织和体液中进行了许多研究,但该领域缺乏关于干细胞衍生 EV 的系统综述,特别是关于它们在干性和分化中的作用。在这里,我们概述了 EV 的病理生理作用,并总结了最近的研究结果,重点介绍了各种类型的干细胞释放的 EV。我们还强调了 EV 在自我更新、分化和重编程中的潜在作用的新证据,并讨论了转化方法的益处和局限性。