Journal
ADIPOCYTE
Volume 10, Issue 1, Pages 293-309Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/21623945.2021.1932355
Keywords
Extracellular vesicles; adipose tissue; tumescent liposuction; fat graft; angiogenesis; adipogenesis
Categories
Funding
- National Natural Science Foundation of China [81501681, 81871588]
- Chinese Association of Plastics and Aesthetics [20200900058, 20201000109]
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This study extracted and characterized LF-EVs, revealing their potential regulatory function. LF-EVs promoted cell proliferation, migration, tube structure formation, and adipogenic differentiation. Animal experiments showed that LF-EVs improved fat graft survival and promoted angiogenesis and adipogenesis in vivo.
Extracellular vesicles (EVs) are specific subcellular vesicles released by cells under various environmental conditions. Tumescent liposuction is a commonly used procedure in plastic surgery practice. In the present study, we aimed to extract EVs derived from lipoaspirate fluid (LF-EVs) and characterize them using transmission electron microscopy, nanoparticle tracking analysis, and western blotting. The global profiles of proteins and microRNAs from LF-EVs were identified, strongly suggesting a potential regulatory function of LF-EVs. In addition, we investigated the effects and mechanisms of LF-EVs on fat graft survival. Cell functional tests showed that LF-EVs promoted the proliferation, migration, and tube structure formation of human umbilical vein endothelial cells. LF-EVs also promoted the adipogenic differentiation of adipose tissue-derived stem cells. The results of animal experiments showed that the average weights of fat grafts in the LF-EVs-treated group were significantly higher than those in the control group. Histologically, there was less fibrosis, fewer cysts, and increased fat tissue survival in the LF-EVs group. Further investigations of angiogenic and adipogenic factors revealed that LF-EVs also promoted angiogenesis and exerted a pro-adipogenic effect in vivo. Our findings will help to elucidate the functions of LF-EVs and provide a reference dataset for future translational studies.
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