Sequence analysis of hepatitis C virus variants producing discrepant results with two different genotyping assays

Infection with multiple hepatitis C virus genotypes detected using commercial tests should be confirmed using next generation sequencing

Current HCV genotyping methods may have some limitations in detecting mixed infections. We aimed to determine the accuracy of genotyping and the detection of mixed-genotype infections using the Abbott-RealTime HCV Genotype II assay (Abbott-RT-PCR) in comparison with a Roche-Next Generation Sequencing assay (Roche-NGS). Plasma samples collected from 139 HCV-infected patients tested with Abbott-RT-PCR, 114 with single genotype (GT) and 25 with mixed GTs were genotyped using Roche-NGS. Roche-NGS confirmed all single GTs obtained with Abbott-RT-PCR. One case of Abbott GT 4 was found as GT 1a using Roche-NGS. Genotype 5 was confirmed using Roche-NGS in 75% cases (3 out of 4 cases). Twenty-five patients were identified as having mixed HCVinfections using Abbott-RT-PCR. The concordance between Abbott-RT-PCR and Roche-NGS was 76% (19 out of 25 cases). Three mixed-GT infections identified with the Abbott assay (two (1b + 4); one (1a + 3)) were reported as pure 1b using Roche-NGS. Very divergent results were found for the other three samples. When compared to Roche-NGS, Abbott-RT-PCR has performed excellently for the determination of patients infected with single GTs. For patients that are categorized as having a mixed infection using Abbott-RT-PCR, we recommend an NGS assay as a confirmation test.

Discrepancy between Hepatitis C Virus Genotypes and NS4-Based Serotypes: Association with Their Subgenomic Sequences

Determination of hepatitis C virus (HCV) genotypes plays an important role in the direct-acting agent era. Discrepancies between HCV genotyping and serotyping assays are occasionally observed. Eighteen samples with discrepant results between genotyping and serotyping methods were analyzed. HCV serotyping and genotyping were based on the HCV nonstructural 4 (NS4) region and 5'-untranslated region (5'-UTR), respectively. HCV core and NS4 regions were chosen to be sequenced and were compared with the genotyping and serotyping results. Deep sequencing was also performed for the corresponding HCV NS4 regions. Seventeen out of 18 discrepant samples could be sequenced by the Sanger method. Both HCV core and NS4 sequences were concordant with that of genotyping in the 5'-UTR in all 17 samples. In cloning analysis of the HCV NS4 region, there were several amino acid variations, but each sequence was much closer to the peptide with the same genotype. Deep sequencing revealed that minor clones with different subgenotypes existed in two of the 17 samples. Genotyping by genome amplification showed high consistency, while several false reactions were detected by serotyping. The deep sequencing method also provides accurate genotyping results and may be useful for analyzing discrepant cases. HCV genotyping should be correctly determined before antiviral treatment.

Synonymous and nonsynonymous distances help untangle convergent evolution and recombination

When estimating a phylogeny from a multiple sequence alignment, researchers often assume the absence of recombination. However, if recombination is present, then tree estimation and all downstream analyses will be impacted, because different segments of the sequence alignment support different phylogenies. Similarly, convergent selective pressures at the molecular level can also lead to phylogenetic tree incongruence across the sequence alignment. Current methods for detection of phylogenetic incongruence are not equipped to distinguish between these two different mechanisms and assume that the incongruence is a result of recombination or other horizontal transfer of genetic information. We propose a new recombination detection method that can make this distinction, based on synonymous codon substitution distances. Although some power is lost by discarding the information contained in the nonsynonymous substitutions, our new method has lower false positive probabilities than the comparable recombination detection method when the phylogenetic incongruence signal is due to convergent evolution. We apply our method to three empirical examples, where we analyze: (1) sequences from a transmission network of the human immunodeficiency virus, (2) tlpB gene sequences from a geographically diverse set of 38 Helicobacter pylori strains, and (3) hepatitis C virus sequences sampled longitudinally from one patient.

Clinical evaluation of a colorimetric oligonucleotide chip for genotyping hepatitis C virus

INTRODUCTION

Hepatitis C virus (HCV) is a major cause of chronic liver disease worldwide. It is associated with the development of end-stage liver disease and hepatocellular carcinoma. Studies have shown that determination of hepatitis C virus (HCV) genotypes is clinically important for prediction of the clinical course and the outcome of antiviral therapy. The aim of this study was to evaluate a colorimetric oligonucleotide chip, which can be used for the rapid and economical detection of the genotypes/subtypes of hepatitis C virus.

DESIGN AND METHODS

A total of 860 serum specimens were tested by an oligonucleotide chip genotyping test. Partial genotype results were compared with those obtained by sequencing method and INNOLiPA HCV II assay. The relative sensitivities of the methods were assessed by using the 5'NCR amplicon from the HCV RNA fluorescent amplicor HCV tests and Light Cycler.

RESULTS

Of 860 serum specimens tested for their genotypes/subtypes by the oligonucleotide array, 607 HCV positive serum samples could be typed by the sequencing method and 60 of 607 HCV positive serum specimens were typed by INNOLiPA HCV II method. Identification of genotype/subtypes by nucleotide sequencing and INNOLiPA HCV II assay showed respective coincidence rates of 99.8% and 96.7% with the HCV oligonucleotide chip results. And the colorimetric method exhibited 99.8% of relative sensitivity compared with the fluorescent amplicor HCV tests.

CONCLUSION

To our knowledge this oligonucleotide chip genotyping method offers a fast and convenient way to determine the genotype in large-scale settings. The tests can be easily adapted by a clinical diagnostic laboratory.

Molecular methods of hepatitis C genotyping

Hepatitis C virus is an RNA virus that is associated with chronic infection in the majority of people infected. Chronic infection with hepatitis C virus is the cause of significant morbidity and mortality worldwide and is associated with a large spectrum of liver disease including cirrhosis and hepatocellular carcinoma. End-stage liver disease due to chronic hepatitis C virus infection is currently the leading indication for liver transplantation in the USA. Hepatitis C virus genotyping of viral isolates circulating in the blood during chronic infection has become an important part of hepatitis C virus monitoring in chronically infected patients, and is useful as a prognostic indicator and to direct duration of therapy. This review will summarize information on hepatitis C genotyping, describe the limitations of current commercially available methods, give information on more recently developed methods, and provide a look to the future in terms of where advances in hepatitis C virus genotyping assays need to be made.

Evidence of intratypic recombination in natural populations of hepatitis C virus

Hepatitis C virus (HCV) has high genomic variability and, since its discovery, at least six different types and an increasing number of subtypes have been reported. Genotype 1 is the most prevalent genotype found in South America. In the present study, three different genomic regions (5'UTR, core and NS5B) of four HCV strains isolated from Peruvian patients were sequenced in order to investigate the congruence of HCV genotyping for these three genomic regions. Phylogenetic analysis using 5'UTR-core sequences found strain PE22 to be related to subtype 1b. However, the same analysis using the NS5B region found it to be related to subtype 1a. To test the possibility of genetic recombination, phylogenetic studies were carried out, revealing that a crossover event had taken place in the NS5B protein. We discuss the consequences of this observation on HCV genotype classification, laboratory diagnosis and treatment of HCV infection.

Hepatitis C virus subtyping by a core-envelope 1-based reverse transcriptase PCR assay with sequencing and its use in determining subtype distribution among Danish patients

A reverse transcriptase PCR (RT-PCR) assay using conserved primers deduced from the core-envelope 1 (C-E1) region of the hepatitis C virus (HCV) genome was developed for subtyping purposes. The sensitivity and specificity of this assay tested against two HCV reference panels containing genotype 1 through 5 subtypes were similar to those of an RT-PCR assay from the 5'-untranslated region (5'-UTR). The sensitivity of the RT-PCR typing assay in the more variable C-E1 region was, however, lower than that of the RT-PCR in the highly conserved 5'-UTR when testing multiple clinical samples. Thus, 71 (88%) of 81 consecutive samples from hospitalized Danish patients positive for HCV antibodies and RNA (5'-UTR) were positive also in the C-E1 RT-PCR assay. Phylogenetic analysis of the E1 sequences obtained by direct sequencing of HCV from two reference panels and 71 Danish patients allowed us to readily distinguish the subtypes. In contrast, phylogenetic analysis of their corresponding 5'-UTR sequences was able to predict only major genotypes. Three different genotypes and four subtypes were identified among Danish samples: 1a (43%), 1b (11%), 2b (6%), and 3a (39%). An isolate from a Somalian refugee was identified as a new HCV type related to Somalian isolates described as subtype 3h. The most common genotype in Denmark is genotype 1 (53%), which is the most difficult to treat. However, Denmark had the highest prevalence in Europe of subtype 3a, which responds more favorably to treatment. The described C-E1 RT-PCR with sequencing is suggested as an easy routine assay for definitive genotyping and subtyping of HCV.

Use and interpretation of hepatitis C virus diagnostic assays

The HCV genotype, HCV RNA, HCV core antigen, and anti-HCV antibodies are the four biologic markers currently used in hepatitis C. Acute and chronic hepatitis C are diagnosed by anti-HCVantibody (enzyme immunoassay) and HCV RNA detection with sensitive molecular biology techniques. Other virologic tools include HCV genotype determination and HCV RNA quantification; these are used to guide the individual treatment choice, and also to monitor treatment efficacy. Overall, the management of HCV infection has been vastly improved by the use of virologic assays. These assays remain to be fully standardized and automated, however, and more clinically relevant cut-off values are required on which to base management recommendations. More sensitive and accurate HCV RNA assays will improve not only the assessment of the response to antiviral treatment, but also our understanding of antiviral resistance. These improvements, and the development of new antiviral drugs (see the article by Drs. DeFrancesco and Rice elsewhere in this issue), should help to optimize the treatment of HCV infection.

Use and interpretation of virological tests for hepatitis C

Four virological markers of hepatitis C virus (HCV) infection are used clinically for management of patients with hepatitis C, namely the HCV genotype, HCV RNA, HCV core antigen, and antibody to HCV (anti-HCV). The diagnosis of acute and chronic hepatitis C is based on both anti-HCV detection using enzyme immunoassays (EIA) and HCV RNA detection using a sensitive molecular biology-based technique. Other virological tools, including HCV genotype determination and HCV RNA quantification, are now used to tailor treatment to the individual patient and to determine its efficacy. This article reviews the kinetics of HCV markers during acute and chronic HCV infection, together with current assays and their practical use in the management of HCV-infected patients.

Use and interpretation of virological tests for hepatitis C

Four virological markers of hepatitis C virus (HCV) infection are used clinically for management of patients with hepatitis C, namely the HCV genotype, HCV RNA, HCV core antigen, and antibody to HCV (anti-HCV). The diagnosis of acute and chronic hepatitis C is based on both anti-HCV detection using enzyme immunoassays (EIA) and HCV RNA detection using a sensitive molecular biology-based technique. Other virological tools, including HCV genotype determination and HCV RNA quantification, are now used to tailor treatment to the individual patient and to determine its efficacy. This article reviews the kinetics of HCV markers during acute and chronic HCV infection, together with current assays and their practical use in the management of HCV-infected patients.

Genotyping of hepatitis C virus types 1, 2, 3, and 4 by a one-step LightCycler method using three different pairs of hybridization probes

Determination of hepatitis C virus (HCV) genotypes has become increasingly important during the last years for prediction of the clinical course and the outcome of antiviral therapy. Therefore, numerous different methods have been developed to enable HCV genotyping. However, many of them are very laborious and expensive, leading to limited usage in daily routine diagnostics. We have established a method which combines the speed of the new LightCycler technology with the use of amplification products generated for diagnostic quantitative HCV RNA determination. Differentiation of HCV genotypes is performed with these amplicons in a single step by using fluorophore-labeled hybridization probes. Although currently only two different acceptor fluorophores are available for the LightCycler, types 1, 2, 3, and 4, which are by far the prevailing HCV genotypes in Europe and the United States, can be distinguished. Genotypes of specimens from 190 chronically HCV-infected patients were determined by the LightCycler method and compared with the results of nucleotide sequencing. Concordant results were obtained for all samples. This new method offers a fast and convenient possibility to determine the quantitative HCV RNA load and the genotype in large-scale settings within about 4 h.

A natural intergenotypic recombinant of hepatitis C virus identified in St. Petersburg

Hepatitis C virus (HCV) evolution is thought to proceed by mutations within the six genotypes. Here, we report on a viable spontaneous HCV recombinant and we show that recombination may play a role in the evolution of this virus. Previously, 149 HCV strains from St. Petersburg had been subtyped by limited sequencing within the NS5B region. In the present study, the core regions of 41 of these strains were sequenced to investigate the concordance of HCV genotyping for these two genomic regions. Two phylogenetically related HCV strains were found to belong to different subtypes, 2k and 1b, according to sequence analysis of the 5' untranslated region (5'UTR)-core and the NS5B regions, respectively. By sequencing of the E2-p7-NS2 region, the crossover point was mapped within the NS2 region, probably between positions 3175 and 3176 (according to the numbering system for strain pj6CF). Sequencing of the 5'UTR-core regions of four other HCV strains, phylogenetically related to the above-mentioned two strains (based on analysis within the NS5B region), revealed that these four strains were also recombinants. Since a nonrecombinant 2k strain was found in St. Petersburg, the recombination may have taken place there around a decade ago. Since the frequency of this recombinant is now high enough to allow the detection of the recombinant in a fraction of the city's population, it seems to be actively spreading there. The reported recombinant is tentatively designated RF1-2k/1b, in agreement with the nomenclature used for HIV recombinants. Recombination between HCV genotypes must now be considered in the classification, laboratory diagnosis, and treatment of HCV infection.

The epidemic behavior of the hepatitis C virus

Hepatitis C virus (HCV) is a leading worldwide cause of liver disease. Here, we use a new model of HCV spread to investigate the epidemic behavior of the virus and to estimate its basic reproductive number from gene sequence data. We find significant differences in epidemic behavior among HCV subtypes and suggest that these differences are largely the result of subtype-specific transmission patterns. Our model builds a bridge between the disciplines of population genetics and mathematical epidemiology by using pathogen gene sequences to infer the population dynamic history of an infectious disease.

HCV genotypes--role in pathogenesis of disease and response to therapy

Hepatitis C virus (HCV) shows considerable variation in its genomic structure, allowing classification into six main genotypes. Epidemiological studies have shown marked differences in genotype distribution by geographical region, and between patient groups. Improved understanding of the rate of nucleotide sequence mutation in HCV has allowed the approximate time of divergence of major genotypes to be estimated, and the origin and spread of the present epidemic of hepatitis C to be better defined. Improved methods of genotype definition over the last few years have enabled the importance of genotype in the progression of HCV-related disease and response to anti-viral therapy to be studied. Present data strongly indicates that HCV genotype is an important determinant of response to treatment, but the effect of genotype on disease progression has been harder to clarify. This is largely due to the absence of model systems of HCV infection, the epidemiological differences in patient groups infected with the different genotypes, and the lack of good prospective longitudinal clinical data. As a result of advances in methodology, and recent results of large clinical trials of combination therapy, a knowledge of HCV genotype is now central to the clinician in the management of patients with chronic hepatitis C.

Viral heterogeneity of the hepatitis C virus

This review summarises the classification of hepatitis C virus as a flavivirus, the identification and detection of HCV genotypes, and reviews the current information concerning the geographical and risk group associations of the common genotypes in Europe.

Serological determination of hepatitis C virus subtypes 1a, 1b, 2a, 2b, 3a, and 4a by a recombinant immunoblot assay

Serological determination of hepatitis C virus (HCV) subtypes has been hampered by the lack of suitable assays. Therefore, a recombinant immunoblot assay has been established for serological differentiation of HCV subtypes 1a, 1b, 2a, 2b, 3a, and 4a. It consists of recombinant HCV proteins from the NS-4 region propagated in Escherichia coli. To confirm the serotyping assay results, the results were compared with those obtained by nucleotide sequencing of the NS-5 region. Sera from 157 patients with chronic HCV infection were examined by this assay, and specific antibodies could be detected in 86% (n = 135) of them. The HCV genotype was determined correctly in all but one sample, and the subtypes determined by the serotyping assay corresponded to the HCV subtypes detected by nucleotide sequencing for 95% (n = 128) of the samples. These data indicate that HCV subtypes can be distinguished serologically. The assay that is described provides an easier means of identification of infection with different HCV subtypes for wider clinical and epidemiological applications.

Characterization of anti-hepatitis C virus-positive sera not genotyped by restriction fragment length polymorphism or serology

BACKGROUND

The hepatitis C virus genome is extremely heterogeneous and has been classified into six major genotypes. Genotyping of hepatitis C has been achieved through both direct molecular approach and indirect detection of host genotype-specific antibodies by serological methods. The purpose of this study was to characterize anti-hepatitis C positive sera samples that were not genotyped either by restriction fragment length polymorphism or by serology.

METHODS

Two hundred and two patients from northern California with established chronic hepatitis C virus infection were studied by restriction fragment length polymorphism analysis of the 5'-untranslated region amplicon. A serological genotyping assay, based on synthetic peptides derived from non-structural region 4 of the hepatitis C virus genome, was used to determine serological genotype.

RESULTS

Of the 202 patients studied, 187 (93%) were polymerase chain reaction-positive. One hundred and eighty-six patients were able to be genotyped by restriction fragment length polymorphism, compared with 144/202 (71%) of patients genotyped by serology (P < 0.0001). Only two of 202 samples showed discordant genotyping results. The distribution of hepatitis C virus genotypes in northern California was found to be type 1a, 41%; 1b, 35%; 2a, 3%; 2b, 10%; 3a, 11%; and 4, < 1%. There was no association between hepatitis C genotypes and age, gender distribution, ethnic origin, presumptive mode of transmission, serum alanine aminotransferase levels and the proportion of patients with cirrhosis. Of the 15 patients who were not genotypable by the molecular assay, four patients were genotyped by serology, with hepatitis C virus genotypes 1, 2 and 3 represented. Of the 58 samples that were not genotyped by serology, 47 were genotyped based on the molecular assay, and the distribution of hepatitis C virus genotypes was similar to that of the overall study population.

CONCLUSIONS

These data showed that: (i) molecular genotyping assay based on 5'-untranslated region is more sensitive than serologic genotyping based on the non-structural-4 region but the results were highly concordant; (ii) hepatitis C virus genotypes 1-4 are present in northern California, with genotype 1 being the most prevalent; and (iii) the failure to determine hepatitis C virus genotype based on molecular or serological genotyping assay does not appear to be related to specific hepatitis C genotypes.

Long-term evolution of the hypervariable region of hepatitis C virus in a common-source-infected cohort

The long-term evolution of the hepatitis C virus hypervariable region (HVR) and flanking regions of the E1 and E2 envelope proteins have been studied in a cohort of women infected from a common source of anti-D immunoglobulin. Whereas virus sequences in the infectious source were relatively homogeneous, distinct HVR variants were observed in each anti-D recipient, indicating that this region can evolve in multiple directions from the same point. Where HVR variants with dissimilar sequences were present in a single individual, the frequency of synonymous substitution in the flanking regions suggested that the lineages diverged more than a decade previously. Even where a single major HVR variant was present in an infected individual, this lineage was usually several years old. Multiple lineages can therefore coexist during long periods of chronic infection without replacement. The characteristics of amino acid substitution in the HVR were not consistent with the random accumulation of mutations and imply that amino acid replacement in the HVR was strongly constrained. Another variable region of E2 centered on codon 60 shows similar constraints, while HVR2 was relatively unconstrained. Several of these features are difficult to explain if a neutralizing immune response against the HVR is the only selective force operating on E2. The impact of PCR artifacts such as nucleotide misincorporation and the shuffling of dissimilar templates is discussed.