Laboratory of Nanomedicine and Clinical Biophotonics, IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milano, Italy.
Dipartimento di Scienze Biomediche, Chirurgiche ed Odontoiatriche, Università degli Studi di Milano, Milano, Italy.
Sci Rep. 2017 Aug 29;7(1):9820. doi: 10.1038/s41598-017-10448-1.
Extracellular vesicles (EVs) from mesenchymal stromal cells (MSC) are emerging as valuable therapeutic agents for tissue regeneration and immunomodulation, but their clinical applications have so far been limited by the technical restraints of current isolation and characterisation procedures. This study shows for the first time the successful application of Raman spectroscopy as label-free, sensitive and reproducible means of carrying out the routine bulk characterisation of MSC-derived vesicles before their use in vitro or in vivo, thus promoting the translation of EV research to clinical practice. The Raman spectra of the EVs of bone marrow and adipose tissue-derived MSCs were compared with human dermal fibroblast EVs in order to demonstrate the ability of the method to distinguish the vesicles of the three cytotypes automatically with an accuracy of 93.7%. Our data attribute a Raman fingerprint to EVs from undifferentiated and differentiated cells of diverse tissue origin, and provide insights into the biochemical characteristics of EVs from different sources and into the differential contribution of sphingomyelin, gangliosides and phosphatidilcholine to the Raman spectra themselves.
细胞外囊泡(EVs)来源于间充质基质细胞(MSC),作为组织再生和免疫调节的有价值的治疗剂而受到关注,但迄今为止,其临床应用受到当前分离和表征程序技术限制的限制。本研究首次成功应用拉曼光谱作为无标记、敏感和可重复的手段,在体外或体内使用之前对 MSC 衍生的囊泡进行常规批量表征,从而促进 EV 研究向临床实践的转化。比较了骨髓和脂肪组织来源的 MSC 的 EV 的拉曼光谱与人类真皮成纤维细胞 EV 的拉曼光谱,以证明该方法能够以 93.7%的准确率自动区分三种细胞类型的囊泡。我们的数据将拉曼指纹归因于不同组织来源的未分化和分化细胞的 EV,并深入了解不同来源的 EV 的生化特征,以及鞘磷脂、神经节苷脂和磷脂酰胆碱对拉曼光谱本身的差异贡献。