Small Extracellular Vesicles from Human Amniotic Fluid Samples as Promising Theranostics

被引:17
|
作者
Costa, Ambra [1 ]
Quarto, Rodolfo [1 ,2 ]
Bollini, Sveva [1 ]
机构
[1] Univ Genoa, Dept Expt Med DIMES, Expt Biol Unit, I-16132 Genoa, Italy
[2] IRCCS Osped Policlin San Martino, Cellular Oncol Unit, I-16132 Genoa, Italy
关键词
amniotic fluid; stem cells; extracellular vesicles; exosomes; regenerative medicine; MESENCHYMAL STEM-CELLS; CONGENITAL DIAPHRAGMATIC-HERNIA; IMPROVE CARDIAC-FUNCTION; MYOCARDIAL-INFARCTION; STROMAL CELLS; IN-VIVO; LUNG; EXOSOMES; REPAIR; REGENERATION;
D O I
10.3390/ijms23020590
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Since the first evidence that stem cells can provide pro-resolving effects via paracrine secretion of soluble factors, growing interest has been addressed to define the most ideal cell source for clinical translation. Leftover or clinical waste samples of human amniotic fluid obtained following prenatal screening, clinical intervention, or during scheduled caesarean section (C-section) delivery at term have been recently considered an appealing source of mesenchymal progenitors with peculiar regenerative capacity. Human amniotic fluid stem cells (hAFSC) have been demonstrated to support tissue recovery in several preclinical models of disease by exerting paracrine proliferative, anti-inflammatory and regenerative influence. Small extracellular vesicles (EVs) concentrated from the hAFSC secretome (the total soluble trophic factors secreted in the cell-conditioned medium, hAFSC-CM) recapitulate most of the beneficial cell effects. Independent studies in preclinical models of either adult disorders or severe diseases in newborns have suggested a regenerative role of hAFSC-EVs. EVs can be eventually concentrated from amniotic fluid (hAF) to offer useful prenatal information, as recently suggested. In this review, we focus on the most significant aspects of EVs obtained from either hAFSC and hAF and consider the current challenges for their clinical translation, including isolation, characterization and quantification methods.
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页数:19
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