Co-Infection with Hepatitis B Virus Genotype D and Other Genotypes in Western Japan

Analysis of hepatitis B virus genotype changes in patients with chronic hepatitis B infection on tenofovir therapy

Antiviral therapy for chronic hepatitis B (CHB) is often required for prolonged periods. We investigated the instance of one HBV genotype switching to another during tenofovir therapy. Of the 67 patients, genotype A was present in 6 (8.9%), D in 43 (65.6%), C in 1 (1.5%), and mixed in 17 (23.8%) patients. Genotype changes were detected in 51 (76.1%) patients on therapy during a follow-up of 192 (range 52-312) weeks. Inter-genotype changes were seen in 17 (33.3%) and intra-genotype in 28 (55%) and both inter- and intra-genotype in 6 of 51 (11.7%) patients. The distribution of genotypes in patients achieving complete virological response was genotype D, 32/43 (74.4%); genotype A, 6/6 (100%); and mixed genotypes, 13/17 (76.47%). The cumulative time of genotype switch among genotype A was 12 months (range 6-18), in genotype D, 12 months (range 6-48), and mixed genotype, 18 months (range 6-24). The type of inter-genotype switch most frequently detected among genotype A1 was from A1 to D1 5/6 (83.3%), followed by mixed to genotype D3 7/13 (54%) and among intra-genotype changes, from D1 to D3 in 14/20 (70%). Pretreatment HBV genotype was the only factor predicting inter-genotype switches with genotype A or mixed genotypes more likely to undergo inter-genotype switches as compared to genotype D patients (OR 66.6 [13.6-327.0, P < 0.001]). Compared to genotype D, genotype A, and mixed genotypes are more inclined to switch while on tenofovir therapy. Genotypes tend to switch and select to a particular type possibly due to constant antiviral drug pressure. J. Med. Virol. 88:1364-1375, 2016. © 2016 Wiley Periodicals, Inc.

Effects of hepatitis B virus mutations on its replication and liver disease severity

Hepatitis B virus (HBV), nowadays, is one of the major human pathogens worldwide. Approximately, 400 million people worldwide have chronic HBV infection. Only 5% of persons infected during adulthood develop chronic infection. The reverse is true for those infected at birth or in early childhood, i.e. more than 90% of these persons progress to chronic infection. Currently, eight different genotypes o f HBV have been identified, differing in nucleotide sequence by greater than 8%. In addition, numerous subgenotypes have a l s o been recognized based on the nucleotide sequence variability of 4- 8%. It has invariably been found that these genotypes and mutations play a pivotal role in the liver disease aggravation and virus replication. The precore mutations (G1896A) and the double mutation (T1762/A1764) in the basal core promoter are important mutations that alter expression of the hepatitis B e antigen (HBeAg). The HBeAg is important for establishing viral persistence. The precore G1896A mutation abrogates the expression of HBeAg. Numerous other mutations alter the disease severity and progression. It is predictive that the infected patient has high risk of hepatocellular carcinoma if the genotype C is incriminated or if HBV possesses basal core promoter double mutation. Association of the remaining genotypes have been noted but with less degree than genotype C. Phenotypic assays of the different HBV protein markers with different molecular techniques illustrate the replication efficiency of the virus in cell lines. This review will discuss various mutations into their association with liver disease severity and progression as well as virus replication.

Genotyping hepatitis B virus dual infections using population-based sequence data

The hepatitis B virus (HBV) is classified into distinct genotypes A-H that are characterized by different progression of hepatitis B and sensitivity to interferon treatment. Previous computational genotyping methods are not robust enough regarding HBV dual infections with different genotypes. The correct classification of HBV sequences into the present genotypes is impaired due to multiple ambiguous sequence positions. We present a computational model that is able to identify and genotype inter- and intragenotype dual infections using population-based sequencing data. Model verification on synthetic data showed 100 % accuracy for intergenotype dual infections and 36.4 % sensitivity in intragenotype dual infections. Screening patient sera (n = 241) revealed eight putative cases of intergenotype dual infection (one A-D, six A-G and one D-G) and four putative cases of intragenotype dual infection (one A-A, two D-D and one E-E). Clonal experiments from the original patient material confirmed three out of three of our predictions. The method has been integrated into geno2pheno([hbv]), an established web-service in clinical use for analysing HBV sequence data. It offers exact and detailed identification of HBV genotypes in patients with dual infections that helps to optimize antiviral therapy regimens. geno2pheno([hbv]) is available under http://www.genafor.org/g2p_hbv/index.php.