Extracellular vesicles present in bone, blood and extracellular matrix have distinctive characteristics and biologic roles

Madeline C. Cramer , William A. D'Angelo , Marley J. Dewey , Allison M. Manuel , Steven J. Mullett , Stacy G. Wendell , Dobrawa Napierala , Peng Jiang , Stephen F. Badylak
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Abstract

Introduction

Extracellular vesicles (EV) have long been recognized as an important means of cell to cell communication, but current metrics to delineate various subpopulations of EV are limited. Recently, a distinctive subpopulation of EV embedded within the extracellular matrix of soft tissues, termed matrix-bound nanovesicles (MBV), has been described. Although the lipid membrane composition and intravesicular cargo of MBV clearly differ from liquid phase EV (i.e. exosomes), a more comprehensive characterization of the physical and biologic properties of MBV vs. exosomes and those of a separate subpopulation of EV, specifically bone matrix vesicles, would contribute to our understanding of the biogenesis and physiologic role of these three EV subpopulations.

Results

The physical characteristics, protein and miRNA cargo profiling, vesicle membrane lipidomics, and immunomodulatory activity were used to compare skeletal muscle-derived MBV, liquid phase plasma exosomes, and mineralization-competent matrix vesicles of provisional bone matrix. We show that despite similar physical characteristics, these three preparations of EV represent distinct entities with different biologic activity.

Conclusion

These results inform metrics for the categorization of EV and provide tools for the isolation of EV for potential diagnostic and therapeutic applications.

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存在于骨骼、血液和细胞外基质中的细胞外小泡具有独特的特征和生物学作用
细胞外小泡(EV)长期以来一直被认为是细胞间通信的重要手段,但目前描述EV各种亚群的指标有限。最近,人们描述了一种嵌入软组织细胞外基质中的独特EV亚群,称为基质结合纳米囊泡(MBV)。尽管MBV的脂质膜组成和管内货物明显不同于液相EV(即外泌体),但对MBV与外泌体以及EV的单独亚群(特别是骨基质囊泡)的物理和生物特性的更全面的表征,将有助于我们理解这三个EV亚群的生物发生和生理作用。结果利用物理特性、蛋白质和miRNA货物图谱、囊泡膜脂质组学和免疫调节活性来比较骨骼肌来源的MBV、液相血浆外泌体和临时骨基质的矿化能力基质囊泡。我们发现,尽管EV的这三种制剂具有相似的物理特性,但它们代表了具有不同生物活性的不同实体。结论这些结果为EV的分类提供了指标,并为分离EV提供了潜在的诊断和治疗应用工具。
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