Inducing Hepatitis C Virus Resistance After Pig Liver Transplantation-A Proof of Concept of Liver Graft Modification Using Warm Ex Vivo Perfusion.
N GoldaracenaV N SpetzlerJ EcheverriJ M KathsV CherepanovR PerssonM R HodgesH L A JanssenN SelznerDavid GrantJ J FeldM SelznerPublished in: American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons (2016)
Normothermic ex vivo liver perfusion (NEVLP) offers the potential to optimize graft function prior to liver transplantation (LT). Hepatitis C virus (HCV) is dependent on the presence of miRNA(microRNA)-122. Miravirsen, a locked-nucleic acid oligonucleotide, sequesters miR-122 and inhibits HCV replication. The aim of this study was to assess the efficacy of delivering miravirsen during NEVLP to inhibit miR-122 function in a pig LT model. Pig livers were treated with miravirsen during NEVLP or cold storage (CS). Miravirsen absorption, miR-122 sequestration, and miR-122 target gene derepression were determined before and after LT. The effect of miravirsen treatment on HCV infection of hepatoma cells was also assessed. NEVLP improved miravirsen uptake versus CS. Significant miR-122 sequestration and miR-122 target gene derepression were seen with NEVLP but not with CS. In vitro data confirmed miravirsen suppression of HCV replication after established infection and prevented HCV infection with pretreatment of cells, analogous to the pretreatment of grafts in the transplant setting. In conclusion, miravirsen delivery during NEVLP is a potential strategy to prevent HCV reinfection after LT. This is the first large-animal study to provide "proof of concept" for using NEVLP to modify and optimize liver grafts for transplantation.
Keyphrases
- hepatitis c virus
- cell proliferation
- long non coding rna
- human immunodeficiency virus
- long noncoding rna
- induced apoptosis
- nucleic acid
- magnetic resonance imaging
- stem cells
- computed tomography
- dna methylation
- gene expression
- risk assessment
- machine learning
- big data
- oxidative stress
- artificial intelligence
- endoplasmic reticulum stress
- signaling pathway
- combination therapy
- human health
- genome wide identification