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Detection of Hepatitis B Virus-Host Junction Sequences in Urine of Infected Patients.

ABSTRACT: Integrated hepatitis B virus (HBV) DNA, found in more than 85% of HBV-associated hepatocellular carcinomas (HBV-HCCs), can play a significant role in HBV-related liver disease progression. HBV-host junction sequences (HBV-JSs), created through integration events, have been used to determine HBV-HCC clonality. Here, we investigate the feasibility of analyzing HBV integration in a noninvasive urine liquid biopsy. Using an HBV-targeted next-generation sequencing (NGS) assay, we first identified HBV-JSs in eight HBV-HCC tissues and designed short-amplicon junction-specific polymerase chain reaction assays to detect HBV-JSs in matched urine. We detected and validated tissue-derived junctions in five of eight matched urine samples. Next, we screened 32 urine samples collected from 25 patients infected with HBV (5 with hepatitis, 10 with cirrhosis, 4 with HCC, and 6 post-HCC). Encouragingly, all 32 urine samples contained HBV-JSs detectable by HBV-targeted NGS. Of the 712 total HBV-JSs detected in urine, 351 were in gene-coding regions, 11 of which, including TERT (telomerase reverse transcriptase), had previously been reported as recurrent integration sites in HCC tissue and were found only in the urine patients with cirrhosis or HCC. The integration breakpoints of HBV DNA detected in urine were found predominantly (~70%) at a previously identified integration hotspot, HBV DR1-2 (down-regulator of transcription 1-2). Conclusion: HBV viral-host junction DNA can be detected in urine of patients infected with HBV. This study demonstrates the potential for a noninvasive urine liquid biopsy of integrated HBV DNA to monitor patients infected with HBV for HBV-associated liver diseases and the efficacy of antiviral therapy.

SUBMITTER: Lin SY

PROVIDER: S-EPMC8485884 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundHepatitis B virus (HBV) and hepatitis C virus (HCV) co-infections contributes to a substantial proportion of liver disease worldwide. The aim of this study was to assess the clinical and virological features of HBV-HCV co-infection.MethodsDemographic data were collected for 3238 high-risk people from an HCV-endemic region in China. Laboratory tests included HCV antibody and HBV serological markers, liver function tests, and routine blood analysis. Anti-HCV positive samples were analyzed for HCV RNA levels and subgenotypes. HBsAg-positive samples were tested for HBV DNA.ResultsA total of 1468 patients had chronic HCV and/or HBV infections. Among them, 1200 individuals were classified as HCV mono-infected, 161 were classified as HBV mono-infected, and 107 were classified as co-infected. The HBV-HCV co-infected patients not only had a lower HBV DNA positive rate compared to HBV mono-infected patients (84.1% versus 94.4%, respectively; P < 0.001). The median HCV RNA levels in HBV-HCV co-infected patients were significantly lower than those in the HCV mono-infected patients (1.18[Interquartile range (IQR) 0-5.57] versus 5.87[IQR, 3.54-6.71] Log10 IU/mL, respectively; P < 0.001). Furthermore, co-infected patients were less likely to have detectable HCV RNA levels than HCV mono-infected patients (23.4% versus 56.5%, respectively; P < 0.001). Those HBV-HCV co-infected patients had significantly lower median HBV DNA levels than those mono-infected with HBV (1.97[IQR, 1.3-3.43] versus 3.06[IQR, 2-4.28] Log10 IU/mL, respectively; P < 0.001). The HBV-HCV co-infection group had higher ALT, AST, ALP, GGT, APRI and FIB-4 levels, but lower ALB and total platelet compared to the HBV mono-infection group, and similar to that of the HCV mono-infected group.ConclusionThese results suggest that co-infection with HCV and HBV inhibits the replication of both viruses. The serologic results of HBV-HCV co-infection in patients suggests more liver injury compared to HBV mono-infected patients, but is similar to HCV mono-infection.

Project description:BackgroundOnly about 50% of patients chronically infected with HCV genotype 1 (HCV-1) respond to treatment with pegylated interferon-alfa and ribavirin (dual therapy), and protease inhibitors have to be administered together with these drugs increasing costs and side-effects. We aimed to develop a predictive model of treatment response based on a combination of baseline clinical and viral parameters.MethodologySeventy-four patients chronically infected with HCV-1b and treated with dual therapy were studied (53 retrospectively -training group-, and 21 prospectively -validation group-). Host and viral-related factors (viral load, and genetic variability in the E1-E2, core and Interferon Sensitivity Determining Region) were assessed. Multivariate discriminant analysis and decision tree analysis were used to develop predictive models on the training group, which were then validated in the validation group.Principal findingsA multivariate discriminant predictive model was generated including the following variables in decreasing order of significance: the number of viral variants in the E1-E2 region, an amino acid substitution pattern in the viral core region, the IL28B polymorphism, serum GGT and ALT levels, and viral load. Using this model treatment outcome was accurately predicted in the training group (AUROC = 0.9444; 96.3% specificity, 94.7% PPV, 75% sensitivity, 81% NPV), and the accuracy remained high in the validation group (AUROC = 0.8148, 88.9% specificity, 90.0% PPV, 75.0% sensitivity, 72.7% NPV). A second model was obtained by a decision tree analysis and showed a similarly high accuracy in the training group but a worse reproducibility in the validation group (AUROC = 0.9072 vs. 0.7361, respectively).Conclusions and significanceThe baseline predictive models obtained including both host and viral variables had a high positive predictive value in our population of Spanish HCV-1b treatment naïve patients. Accurately identifying those patients that would respond to the dual therapy could help reducing implementation costs and additional side effects of new treatment regimens.

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Detection of Hepatitis B Virus-Host Junction Sequences in Urine of Infected Patients.

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