Extracellular Vesicles Derived from Human Liver Stem Cells Attenuate Chronic Kidney Disease Development in an In Vivo Experimental Model of Renal Ischemia and Reperfusion Injury.
Stefania BrunoGiulia ChiabottoMassimo CedrinoElena CeccottiChiara PasquinoSamuela De RosaCristina GrangeStefania TrittaGiovanni CamussiPublished in: International journal of molecular sciences (2022)
The potential therapeutic effect of extracellular vesicles (EVs) that are derived from human liver stem cells (HLSCs) has been tested in an in vivo model of renal ischemia and reperfusion injury (IRI), that induce the development of chronic kidney disease (CKD). EVs were administered intravenously immediately after the IRI and three days later, then their effect was tested at different time points to evaluate how EV-treatment might interfere with fibrosis development. In IRI-mice that were sacrificed two months after the injury, EV- treatment decreased the development of interstitial fibrosis at the histological and molecular levels. Furthermore, the expression levels of pro-inflammatory genes and of epithelial-mesenchymal transition (EMT) genes were significantly reverted by EV-treatment. In IRI-mice that were sacrificed at early time points (two and three days after the injury), functional and histological analyses showed that EV-treatment induced an amelioration of the acute kidney injury (AKI) that was induced by IRI. Interestingly, at the molecular level, a reduction of pro-fibrotic and EMT-genes in sacrificed IRI-mice was observed at days two and three after the injury. These data indicate that in renal IRI, treatment with HLSC-derived EVs improves AKI and interferes with the development of subsequent CKD by modulating the genes that are involved in fibrosis and EMT.
Keyphrases
- chronic kidney disease
- epithelial mesenchymal transition
- stem cells
- acute kidney injury
- end stage renal disease
- genome wide
- gene expression
- mesenchymal stem cells
- combination therapy
- adipose tissue
- atrial fibrillation
- oxidative stress
- idiopathic pulmonary fibrosis
- machine learning
- cerebral ischemia
- deep learning
- brain injury
- peritoneal dialysis
- left ventricular
- single molecule
- subarachnoid hemorrhage
- wild type