Objective:
The aim of this study was to evaluate peak serum alanine aminotransferase (ALT) and postoperative clinical outcomes after hypothermic oxygenated machine perfusion (HOPE) versus static cold storage (SCS) in extended criteria donation (ECD) liver transplantation (LT) from donation after brain death (DBD).
Background:
HOPE might improve outcomes in LT, particularly in high-risk settings such as ECD organs after DBD, but this hypothesis has not yet been tested in a randomized controlled clinical trial (RCT).
Methods:
Between September 2017 and September 2020, 46 patients undergoing ECD-DBD LT from four centers were randomly assigned to HOPE (n = 23) or SCS (n = 23). Peak-ALT levels within 7 days following LT constituted the primary endpoint. Secondary endpoints included incidence of postoperative complications [Clavien-Dindo classification (CD), Comprehensive Complication Index (CCI)], length of intensive care- (ICU) and hospital-stay, and incidence of early allograft dysfunction (EAD).
Results:
Demographics were equally distributed between both groups [donor age: 72 (IQR: 59–78) years, recipient age: 62 (IQR: 55–65) years, labMELD: 15 (IQR: 9–25), 38 male and 8 female recipients]. HOPE resulted in a 47% decrease in serum peak ALT [418 (IQR: 221–828) vs 796 (IQR: 477–1195) IU/L, P = 0.030], a significant reduction in 90-day complications [44% vs 74% CD grade ≥3, P = 0.036; 32 (IQR: 12–56) vs 52 (IQR: 35–98) CCI, P = 0.021], and shorter ICU- and hospital-stays [5 (IQR: 4–8) vs 8 (IQR: 5–18) days, P = 0.045; 20 (IQR: 16–27) vs 36 (IQR: 23–62) days, P = 0.002] compared to SCS. A trend toward reduced EAD was observed for HOPE (17% vs 35%; P = 0.314).
Conclusion:
This multicenter RCT demonstrates that HOPE, in comparison to SCS, significantly reduces early allograft injury and improves post-transplant outcomes in ECD-DBD liver transplantation.
Chronic infection by the Hepatitis B Virus (HBV) is the major contributor to liver disease worldwide. Though HBV replicates via a nuclear episomal DNA (cccDNA), integration of HBV DNA into the host cell genome is regularly observed in the liver of infected patients. While reported as a pro-oncogenic alteration, the mechanism(s) and timing of HBV DNA integration are not well-understood, chiefly due to the lack of infection models that have detectable integration events. Here, we have established an system in which integration can be reliably detected following HBV infection. We measured HBV DNA integration using inverse nested PCR in primary human hepatocytes, HepaRG-NTCP, HepG2-NTCP, and Huh7-NTCP cells after HBV infection. Integration was detected in all cell types at a rate of >1 per 10000 cells, with the most consistent detection in Huh7-NTCP cells. Integration rate remained stable between 3 and 9 days post-infection. HBV DNA integration was efficiently blocked by treatment with 200nM of the HBV entry inhibitor Myrcludex B, but not with 10μM Tenofovir, 100U Interferon alpha, or 1μM of the capsid assembly inhibitor GLS4. This suggests integration of HBV DNA occurs immediately after infection of hepatocytes and is likely independent of HBV replication in this model. Site analysis revealed that HBV DNA integrations were distributed over the entire human genome. Further, integrated HBV DNA sequences were consistent with double-stranded linear HBV DNA being the major precursor. Thus, we have established an system to interrogate the mechanisms of HBV DNA integration.Hepatitis B Virus (HBV) is a common blood-borne pathogen and, following a chronic infection, can cause liver cancer and liver cirrhosis. Integration of HBV DNA into the host genome occurs in all known members of the family, despite this form not being necessary for viral replication. HBV DNA integration has been reported to drive liver cancer formation and persistence of virus infection. However, when and the mechanism(s) by which HBV DNA integration occurs is not clear. Here, we have developed and characterized an system to reliably detect HBV DNA integrations that result from a true HBV infection event and that closely resemble those found in patient tissues. Using this model, we show that integration already occurs when the infection is first established. Importantly, we provide here a system to analyze molecular factors involved in HBV integration, which can be used to develop strategies to halt its formation.
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