Molecular methods of hepatitis C genotyping

An Insight into Hepatitis C Virus: In Search of Promising Drug Targets

Hepatitis C Virus (HCV) is a global health concern, chronically infecting over 70 million people worldwide. HCV is a bloodborne pathogen that primarily affects the liver, and chronic HCV infection can lead to cirrhosis, liver cancer, and liver failure over time. There is an urgent need for more effective approaches to prevent and treat HCV. This review summarizes current knowledge on the virology, transmission, diagnosis, and management of HCV infection. It also provides an in-depth analysis of HCV proteins as promising targets for antiviral drug and vaccine development. Specific HCV proteins discussed as potential drug targets include the NS5B polymerase, NS3/4A protease, entry receptors like CD81, and core proteins. The implications of HCV proteins as diagnostic and prognostic biomarkers are also explored. Current direct-acting antiviral therapies are effective but have cost, genotype specificity, and resistance limitations. This review aims to synthesize essential information on HCV biology and pathogenesis to inform future research on improved preventive, diagnostic, and therapeutic strategies against this global infectious disease threat.

Genotyping simplified: rationally designed antisense oligonucleotide-mediated PCR amplification-free colorimetric sensing of viral RNA in HCV genotypes 1 and 3

Molecular diagnosis of viral genotyping devoid of polymerase chain reaction (PCR) amplification in clinical cohorts has hitherto been challenging. Here we present a simplified molecular diagnostic strategy for direct genotyping of hepatitis C virus (HCV) 1 and 3 (prevalent worldwide) using a combination of rationally designed genotype-specific antisense oligonucleotides (ASOs) and plasmonic gold nanoparticles. The ASOs specific to genotypes 1 and 3 have been designed from the nonstructural region 5A (NS5A) of the viral genome using the ClustalW multiple sequence alignment tool. A total of 79 clinical samples including 18 HCV genotype 1, 18 HCV genotype 3, one HIV positive, one HBV positive, and 41 healthy controls have been tested against both the designed ASOs. The study reveals 100% specificity and sensitivity with the employed samples and thereby opens up new avenues for PCR-free direct genotyping of other viruses as well, through the rational design of ASOs.

Prevalence of HCV genotypes and subtypes in Southeast Asia: A systematic review and meta-analysis

Known for its high genetic diversity and variation in genotypic presence in different regions of the world, hepatitis C virus (HCV) is estimated to infect about 71 million people globally. Selection of an appropriate therapeutic regimen largely depends on the identification of the genotype responsible for the infection. This systematic review and meta-analysis was conducted to provide a comprehensive view of HCV genotype and subtype distribution in Southeast Asia (SEA). The review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA). We searched five databases without year and language restrictions. Data from 90 eligible studies involving 15,089 genotypes and 9,646 subtypes representing 10 SEA countries were analyzed. The pooled estimates showed that genotype 1 (46.8%) [95% CI, 43.2–50.4; I² = 92.77%; p < 0.001] was the most dominant HCV genotype in the region, followed by genotype 3 (23.1%) [95% CI, 19.4–27.2; I² = 93.03%; p < 0.001], genotype 6 (16.5%) [95% CI, 13.8–19.6], genotype 2 (4.6%) [95% CI, 3.5–5.9], genotype 4 (1.1%) [95% CI, 0.7–1.5] and genotype 5 (0.8%) [95% CI, 0.4–1.3]. Philippines had the highest prevalence of genotypes 1 and 2. Genotype 6 became more prevalent after year 2000. Over 40 different subtypes were identified, with subtypes 1b (26.3%), 1a (21.3%), and 3a (14.3%) being the most prevalent of all the reported subtypes. Although on a global scale, genotype 6 is considered highly prevalent in SEA, evidence from this study reveals that it is the third most prevalent genotype within the region.

Technical Validation of a Hepatitis C Virus Whole Genome Sequencing Assay for Detection of Genotype and Antiviral Resistance in the Clinical Pathway

Choice of direct acting antiviral (DAA) therapy for Hepatitis C Virus (HCV) in the United Kingdom and similar settings usually requires knowledge of the genotype and, in some cases, antiviral resistance (AVR) profile of the infecting virus. To determine these, most laboratories currently use Sanger technology, but next-generation sequencing (NGS) offers potential advantages in throughput and accuracy. However, NGS poses unique technical challenges, which require idiosyncratic development and technical validation approaches. This applies particularly to virology, where sequence diversity is high and the amount of starting genetic material is low, making it difficult to distinguish real data from artifacts. We describe the development and technical validation of a sequence capture-based HCV whole genome sequencing (WGS) assay to determine viral genotype and AVR profile. We use clinical samples of known subtypes and viral loads, and simulated FASTQ datasets to validate the analytical performances of both the wet laboratory and bioinformatic pipeline procedures. We show high concordance of the WGS assay compared to current "gold standard" Sanger assays. Specificity was 92.3 and 96.1% for AVR and genotyping, respectively. Discordances were due to the inability of Sanger assays to assign the correct subtype or accurately call mixed drug-resistant variants. We show high repeatability and reproducibility with >99.8% sequence similarity between sequence runs as well as high precision for variant frequency detection at >98.8% in the 95th percentile. Post-sequencing bioinformatics quality control workflows allow the accurate distinction between mixed infections, cross-contaminants and recombinant viruses at a threshold of >5% for the minority population. The sequence capture-based HCV WGS assay is more accurate than legacy AVR and genotyping assays. The assay has now been implemented in the clinical pathway of England's National Health Service HCV treatment programs, representing the first validated HCV WGS pipeline in clinical service. The data generated will additionally provide granular national-level genomic information for public health policy making and support the WHO HCV elimination strategy.

An update on hepatitis C virus genotype distribution in Jordan: a 12-year retrospective study from a tertiary care teaching hospital in Amman

Background

Nucleic acid hybridization (NAH) of hepatitis C virus (HCV) is a practical and reliable tool for virus genotyping. Genotype assignment is an important factor in the prediction of treatment success in chronic hepatitis C patients. The aim of this study was to determine the genotype distribution among HCV clinical isolates in Jordan between 2007 and 2018.

Methods

Electronic and paper-based clinical data registry records from 2007 to 2018 at the Jordan University Hospital (JUH) were retrospectively examined for individuals with HCV genotype, HCV viral load, and alanine aminotransferase (ALT) testing results. Genotype determination was based on NAH technique using the HCV 5′ untranslated region (5′ UTR) with 386 requests available from 342 unique individuals.

Results

A total of 263 out of 342 unique individuals (76.9%) had genotyping results available for final analysis with 259 individuals each having a single genotyping result. The most common HCV genotypes in the study were: genotype 4 (n = 142, 54.0%), genotype 1 (n = 87, 33.1%), genotype 3 (n = 16, 6.1%), genotype 2 (n = 9, 3.4%), other undetermined genotypes (n = 5, 1.9%) and mixed infections (n = 4, 1.5%). Sub-genotyping results were available for 46 individuals as follows: sub-genotype 4c/d (n = 13, 28.3%), sub-genotype 1a (n = 11, 23.9%), sub-genotype 1b (n = 10, 21.7%), sub-genotype 4a (n = 8, 17.4%), sub-genotype 3a (n = 2, 4.3%), sub-genotypes 2a/c and 4 h (n = 1, 2.2% for both). Individuals infected with genotype 1 showed higher viral load when compared to those infected with genotype 4 (p = 0.048, t-test). Younger HCV-infected individuals (< 52 years) had higher ALT levels compared to older individuals (p = 0.036, t-test). Self-reported risk factors for HCV acquisition included: history of previous surgery, invasive dental procedures, and blood transfusion, delivery at home, circumcision at home and wet cupping therapy (hijama).

Conclusions

High genetic diversity of HCV was found in Jordan, with genotypes 4 and 1 as the most prevalent genotypes co-circulating in the country. Potential impact of virus genotype on disease markers (viral load, ALT) was detected and needs further assessment. The study can be helpful to plan for future prevention and management of HCV infection in Jordan.

Prevalence of Hepatitis C virus genotypes in nine selected European countries: A systematic review

BACKGROUND

Hepatitis C virus (HCV) infection is a global health problem especially for its increasing level of mortality. Detailed knowledge of HCV genotypes prevalence has clinical relevance since the efficacy of therapies is impacted by genotypes and subtypes distribution. Moreover, HCV exhibits a great genetic variability regionally. To date, there are no published studies assessing HCV genotypes distribution in specific countries of the Mediterranean basin. The aim of this study was to review data published from 2000 to 2017 with the purpose to estimate genotypes distribution of HCV infection in nine European countries all located in the Mediterranean basin.

METHODS

A systematic research of peer-reviewed journals indexed in PubMed, Scopus, and EMBASE databases selected if containing data regarding distribution of HCV genotypes in nine selected European countries (Albania, Bosnia, Croatia, France, Greece, Italy, Montenegro, Slovenia, and Spain) was performed.

RESULTS

Genotype 1 is the most common (61.0%), ranging from 80.0% in Croatia to 46.0% in Greece, followed by genotype 3 (20.0%), varying from 38.0% in Slovenia to 7.0% and 8.0%, respectively, in Italy and in Albania and by genotype 4 (10.0%) that shows an increase of 1.1% with respect to data obtained till 2014 probably due to the increasing migrants arrivals to Southern Europe. G2, the fourth most frequent genotype (8.5%), particularly common in Italy (27.0%) and Albania (18.0%) might be probably introduced in Southern Italy as a result of Albanian campaign during Second World War and more and more increased by the migration flows from Albania to Italy in the 90s.

CONCLUSION

Epidemiology of HCV infection shows a high variability across the European countries that border the Mediterranean Sea. HCV genotyping is a relevant tool to monitor the dynamic process influenced by both evolving transmission trends and new migration flows on HCV scenario.

Prevalence of Hepatitis C virus genotypes in nine selected European countries: A systematic review

BACKGROUND

Hepatitis C virus (HCV) infection is a global health problem especially for its increasing level of mortality. Detailed knowledge of HCV genotypes prevalence has clinical relevance since the efficacy of therapies is impacted by genotypes and subtypes distribution. Moreover, HCV exhibits a great genetic variability regionally. To date, there are no published studies assessing HCV genotypes distribution in specific countries of the Mediterranean basin. The aim of this study was to review data published from 2000 to 2017 with the purpose to estimate genotypes distribution of HCV infection in nine European countries all located in the Mediterranean basin.

METHODS

A systematic research of peer-reviewed journals indexed in PubMed, Scopus, and EMBASE databases selected if containing data regarding distribution of HCV genotypes in nine selected European countries (Albania, Bosnia, Croatia, France, Greece, Italy, Montenegro, Slovenia, and Spain) was performed.

RESULTS

Genotype 1 is the most common (61.0%), ranging from 80.0% in Croatia to 46.0% in Greece, followed by genotype 3 (20.0%), varying from 38.0% in Slovenia to 7.0% and 8.0%, respectively, in Italy and in Albania and by genotype 4 (10.0%) that shows an increase of 1.1% with respect to data obtained till 2014 probably due to the increasing migrants arrivals to Southern Europe. G2, the fourth most frequent genotype (8.5%), particularly common in Italy (27.0%) and Albania (18.0%) might be probably introduced in Southern Italy as a result of Albanian campaign during Second World War and more and more increased by the migration flows from Albania to Italy in the 90s.

CONCLUSION

Epidemiology of HCV infection shows a high variability across the European countries that border the Mediterranean Sea. HCV genotyping is a relevant tool to monitor the dynamic process influenced by both evolving transmission trends and new migration flows on HCV scenario.

Changes in hepatitis C virus genotype distribution in chronic hepatitis C infection patients

Purpose

Identification of hepatitis C virus (HCV) genotypes is very important in the selection of antiviral treatment, dose adjustment of antiviral agents, determining the treatment duration and following-up of treatment response. We aimed to determine the distribution pattern of HCV genotypes in chronic hepatitis C infection (CHC) patients.

Materials and Methods

We have included 106 CHC patients who were positive in the anti-HCV and HCV-RNA tests performed in our hospital during the 16-month period. Anti-HCV assays were performed on device using a chemiluminescent microparticle immunoassay, while HCV-RNA tests and HCV genotyping assays were performed by real-time polymerase chain reaction.

Results

Of the 106 cases; genotype 1b was detected in 67.0%, genotype 3 was detected in 16.0%, genotype 1a was detected in 14.2% and genotype 2 was detected in 2.8% patients. Genotypes 4, 5 and 6 were not detected in our study group. There were no statistically significant differences between the gender and age groups according to the HCV genotype distribution. The genotype 3 detection rate (16%) was the highest rate among the studies compared with the other studies in our country.

Conclusions

Events that cause social changes such as war and immigration and intense commercial and touristic activities affect and alter the HCV genotype distribution in HCV-infected patients. For this reason, further multicentre studies are required reflecting all the regions in order to determine the genotype distribution in HCV-infected patients at regular intervals.

Distribution of hepatitis C virus genotypes in volunteer blood donors from Chengdu, China

Hepatitis C virus (HCV) is a significant pathogen of global concern. The virus is usually spread through blood contact, such as transfusion, hemodialysis and injection of illegal drugs. HCV genotypes have a geographic distribution in different areas. In this paper, we focus on the distribution of HCV genotypes from volunteer blood donors in Chengdu. The prevalence of genotypes was analyzed using phylogenetic analysis. Phylogenetic trees were constructed based on the HCV core and NS5B regions from 313 sequences. HCV sequences were classified into six subtypes, and HCV genotypes were determined with the following results: 1b in 283, 2a in 14, 3b in seven, 3a in three, 6a in five and 6u in one. Subtype 1b was the most common and accounted for approximately 90.41 % (283/313), and a virus of subtype 6u was isolated for the first time from the Chengdu area. Genotypes 4 and 5 were not detected.

Evolving Diversity of Hepatitis C Viruses in Yunnan Honghe, China

The Chinese Honghe Autonomous Prefecture (Honghe) in Yunnan Province is a unique ethnic area because it is inhabited by more than ten different minority ethnic groups. Geographically, Honghe directly shares a border with Vietnam. The objective of this study was to investigate genetic diversity and distribution of the Hepatitis C virus (HCV) in Honghe. Ninety nine subjects who were infected with HCV or HCV/HIV (Human Immunodeficiency Virus Type 1) were recruited into this study. HCV genotypes and subtypes were determined based on the sequences of the core/envelope 1 (C/E1) and the nonstructural protein 5B (NS5B) genomic regions. The viral diversity and origins of dissemination were examined by phylogenetic analyses. Three HCV genotypes (1, 3 and 6) with six subtypes (1b, 3b, 3a, 6a, 6n and 6v) were identified. The most predominant form was genotype 3 (54.6%) followed by 6 (34.3%), and 1 (9.1%). The HCV subtype 3b appeared to be the most frequent form (38.4%) followed by 6n (20.2%) and 3a (16.2%). Statistical analyses suggested a possible rise of the genotype 6a in Honghe among intravenous drug users with HCV/HIV co-infections. Further phylogenetic analyses suggested that similar HCV-6a viruses might have been circulating in the Honghe area for more than a decade, which likely originated from Vietnam or vice versa. Two HCV samples with single HCV infection (SC34 and SC45) were isolated that could represent new recombinant variants. Although the genetic prevalence of HCV in Honghe is in general agreement with that of Southwest China and Yunnan Province, the diversity of HCV genotypes and subtypes in Honghe is somewhat unique and evolving. Information presented here should provide useful information for future health surveillance and prevention of HCV infection in this area.

Hepatitis C virus prevalence and genotype distribution in Pakistan: Comprehensive review of recent data

Hepatitis C virus (HCV) is endemic in Pakistan and its burden is expected to increase in coming decades owing mainly to widespread use of unsafe medical procedures. The prevalence of HCV in Pakistan has previously been reviewed. However, the literature search conducted here revealed that at least 86 relevant studies have been produced since the publication of these systematic reviews. A revised updated analysis was therefore needed in order to integrate the fresh data. A systematic review of data published between 2010 and 2015 showed that HCV seroprevalence among the general adult Pakistani population is 6.8%, while active HCV infection was found in approximately 6% of the population. Studies included in this review have also shown extremely high HCV prevalence in rural and underdeveloped peri-urban areas (up to 25%), highlighting the need for an increased focus on this previously neglected socioeconomic stratum of the population. While a 2.45% seroprevalence among blood donors demands immediate measures to curtail the risk of transfusion transmitted HCV, a very high prevalence in patients attending hospitals with various non-liver disease related complaints (up to 30%) suggests a rise in the incidence of nosocomial HCV spread. HCV genotype 3a continues to be the most prevalent subtype infecting people in Pakistan (61.3%). However, recent years have witnessed an increase in the frequency of subtype 2a in certain geographical sub-regions within Pakistan. In Khyber Pakhtunkhwa and Sindh provinces, 2a was the second most prevalent genotype (17.3% and 11.3% respectively). While the changing frequency distribution of various genotypes demands an increased emphasis on research for novel therapeutic regimens, evidence of high nosocomial transmission calls for immediate measures aimed at ensuring safe medical practices.

Phylogenetic analysis of HCV subgenotypes in patients from Sichuan province in China based on the NS5B region

The classification of hepatitis C virus (HCV) genotypes is of clinical importance as it may help to predict drug therapy responses and estimate treatment duration. The classical method of HCV subgenotype classification is whole genome sequencing (WGS). However, the high cost and time-consuming nature of WGS limits its usage in clinical practice. A number of studies have been conducted to confirm whether specific regions of HCV could replace WGS in the classification of HCV subgenotypes. In the present study, we used the HCV database to select HCV sequences from different countries. The neighbor-joining method was used to construct phylogenetic trees based on different regions of HCV (core, E1, E2 and NS5B), to confirm which region could replace WGS in subgenotype classification. Our results indicated that the core, E1 and E2 regions could not be used to classify the HCV subgenotype correctly (core failed to recognize subgenotypes c and a, E1 failed to discriminate between subgenotypes a and b, and E2 failed to identify subgenotypes a and c). The NS5B region provided the correct subgenotype classification. The HCV samples (n=153) collected from patients in Sichuan province, (Southwest China) were sequenced and classified based on the NS5B region. The results indicated that the major subgenotype of HCV in patients from Sichuan was 1b (51.6%, n=79); other subgenotypes included 3b (30.1%, n=46), 3a (7.8%, n=12), 6a (8.5%, n=13), 2a (n=2) and 6n (n=1). The data from our analysis may prove to be helpful in future epidemiological investigations of HCV, and may aid in the prevention and clinical treatment of HCV.

Accurate genotyping of hepatitis C virus through nucleotide sequencing and identification of new HCV subtypes in China population

Nucleotide sequencing of the phylogenetically informative region of NS5B remains the gold standard for hepatitis C virus (HCV) genotyping. Here we developed a new methodology for sequencing new NS5B regions to increase the accuracy and sensitivity of HCV genotyping and subtyping. The eight new primers were identified by scanning the full-length NS5B regions from 1127 HCV genomic sequences found in HCV databases. The ability of each pair of primers to amplify HCV subtypes was scored, and the new primers were able to amplify the NS5B region better than the previously used primers, therefore more accurately subtyping HCV strains. Sequencing the DNA amplified by the new primer pairs can specifically and correctly detect the five standard HCV subtypes (1a, 2a, 3b, 6a and 1b). We further examined patient samples and found that the new primers were able to identify HCV subtypes in clinical samples with high sensitivity. This method was able to detect all subtypes of HCV in 567 clinical samples. Importantly, three novel HCV subtypes (1b-2a, 1b-2k and 6d-6k) were identified in the samples, which have not been previous reported in China. In conclusion, sequencing the NS5B region amplified by the new NS5B primers is a more reliable method of HCV genotyping and a more sensitive diagnostic tool than sequencing using the previously described primers, and could identify new HCV subtypes. Our research is useful for clinical diagnosis, guidance of clinical treatment, management of clinical patients, and studies on the epidemiology of HCV.

A reliable multiplex genotyping assay for HCV using a suspension bead array

The genotyping of the hepatitis C virus (HCV) plays an important role in the treatment of HCV because genotype determination has recently been incorporated into the treatment guidelines for HCV infections. Most current genotyping methods are unable to detect mixed genotypes from two or more HCV infections. We therefore developed a multiplex genotyping assay to determine HCV genotypes using a bead array. Synthetic plasmids, genotype panels and standards were used to verify the target-specific primer (TSP) design in the assay, and the results indicated that discrimination efforts using 10 TSPs in a single reaction were extremely successful. Thirty-five specimens were then tested to evaluate the assay performance, and the results were highly consistent with those of direct sequencing, supporting the reliability of the assay. Moreover, the results from samples with mixed HCV genotypes revealed that the method is capable of detecting two different genotypes within a sample. Furthermore, the specificity evaluation results suggested that the assay could correctly identify HCV in HCV/human immunodeficiency virus (HIV) co-infected patients. This genotyping platform enables the simultaneous detection and identification of more than one genotype in a same sample and is able to test 96 samples simultaneously. It could therefore provide a rapid, efficient and reliable method of determining HCV genotypes in the future.

Interleukin-12 as a genetic adjuvant enhances hepatitis C virus NS3 DNA vaccine immunogenicity

Hepatitis C virus (HCV) chronic infection is a worldwide health problem, and numerous efforts have been invested to develop novel vaccines. An efficient vaccine requires broad immune response induction against viral proteins. To achieve this goal, we constructed a DNA vaccine expressing nonstructural 3 (NS3) gene (pcDNA3.1-HCV-NS3) and assessed the immune response in C57BL/6 mice. In this study, the NS3 gene was amplified with a nested-reverse transcriptase-polymerase chain reaction (RT-PCR) method using sera of HCV-infected patients with genotype 1a. The resulting NS3 gene was subcloned into a pcDNA3.1 eukaryotic expression vector, and gene expression was detected by western blot. The resultant DNA vaccine was co-administered with interleukin-12 (IL-12) as an adjuvant to female C57BL/6 mice. After the final immunizations, lymphocyte proliferation, cytotoxicity, and cytokine levels were assessed to measure immune responses. Our data suggest that co-administration of HCV NS3 DNA vaccine with IL-12 induces production of significant levels of both IL-4 and interferon (IFN)-γ (p<0.05). Cytotoxicity and lymphocyte proliferation responses of vaccinated mice were significantly increased compared to control (p<0.05). Collectively, our results demonstrated that co-administration of HCV NS3 and IL-12 displayed strong immunogenicity in a murine model.

Important factors in reliable determination of hepatitis C virus genotype by use of the 5' untranslated region

Accurate genotyping of hepatitis C virus (HCV) is important for determining the optimal regimen, dose, and duration of antiviral therapy for chronic HCV infection, as well as for estimating the response rate. The 5' untranslated region (UTR) of HCV RNA is used in commercial genotyping, but the probes and the lengths of the amplicons are proprietary and vary among the assays. In this study, factors involved in the reliable determination of HCV genotypes utilizing the 5' UTR were evaluated. Serum samples from four subjects with chronic HCV infection and disparate results on commercial genotyping and four controls were analyzed. HCV RNA was extracted from serum samples, and the 5' UTR and NS5B region were sequenced. Ten clones from each region were compared to prototype sequences and analyzed for genotype assignment using five programs. The results were compared to those from commercial assays. 5' UTR sequences were sequentially shortened from either the 5' end, the 3' end, or both ends, with genotyping of the resultant fragments. Sequences were obtained for the 5' UTR in all eight subjects and for the NS5B region in five subjects. The genotype assignments were identical between the two regions in the five subjects with complete sequencing. Genotyping by sequencing gave different results than those from the commercial assays in the four experimental samples but agreed in the four controls. Shortening of the sequences affected the results, and the results for sequences of <200 bases were inaccurate. Neither the Hamming distance nor the quasispecies affected the results. Sequencing of the HCV 5' UTR provided reliable genotyping results and resolved discrepancies identified in commercial assays, but genotyping by sequencing was highly dependent upon sequence length.

Comparison of three different HCV genotyping methods: core, NS5B sequence analysis and line probe assay

To evaluate the capacity of Versant HCV genotype assay (LiPA) 2.0 to identify hepatitis C virus (HCV) genotypes, 110 serum samples were collected from chronic hepatitis C patients. Three methods were compared: core sequence analysis, NS5B sequence analysis and the INNO-LiPA assay. The result showed that 102 (92.7%) of the samples were amplified in either or both regions, of which 97 were amplified in the core region and 62 were amplified in the NS5B region. Correlation analysis showed that amplification rates of subgenomic regions were associated with viral loads. Basic local alignment search tool (BLAST) and phylogenetic analysis showed that the 102 samples were classified into 5 categories: subtype 1b, 2a, 3a, 3b and 6a at frequencies of 61.8% (63), 9.8% (10), 3.9% (4), 3.9% (4) and 20.6% (21), respectively. Compared with sequencing methods, 66.7% (68) of the 102 samples were identified completely by LiPA 2.0, whereas 19.6% (20) were assigned incompletely (indistinguishable or not identified subtype) and 13.7% (14) were misclassified. Of 21 genotype 6a samples, 11 were mistyped as 1b. In conclusion, LiPA 2.0 was not suitable for identifying HCV genotypes in the samples tested, whereas core sequence analysis remained an ideal method for genotyping HCV.

Hepatitis C virus genotyping using an oligonucleotide microarray based on the NS5B sequence

The genotype of the hepatitis C virus (HCV) is essential for determining treatment duration in clinical practice and for epidemiological and clinical studies. Currently, few genotyping assays that determine the HCV subtype are available. This report describes a microarray-based molecular technique for identifying the HCV genotype and subtype. It uses low-density hydrogel-based biochips containing genotype- and subtype-specific oligonucleotides based on the sequences of the NS5B region of the HCV genome. The biochip contains 120 oligonucleotides that identify genotypes 1 to 6 and 36 (1a, 1b, 1c, 1d, 1e, 2a, 2b, 2c, 2d, 2i, 2j, 2k, 2l, 2m, 3a, 3b, 3k, 4a, 4c, 4d, 4f, 4h, 4i, 4k, 4n, 4o, 4p, 4r, 4t, 5a, 6a, 6b, 6d, 6g, 6h, and 6k) subtypes. The procedure included amplification of a 380-nucleotide (nt) fragment of NS5B and its hybridization on the biochip. Tests on 345 HCV-positive samples showed that the assay agreed with NS5B sequencing 100% for the genotype and 99.7% for the subtype. The hybridization on the microarray and the NS5B sequence were in 100% agreement for identifying the most common subtypes, 1a, 1b, 4a, 4d, and 3a. This approach is a promising tool for HCV genotyping, especially for implementing the new anti-HCV drugs that require accurate identification of clinically relevant subtypes.

Development of hepatitis C virus genotyping by real-time PCR based on the NS5B region

Background

Hepatitis C virus (HCV) genotyping is the most significant predictor of the response to antiviral therapy. The aim of this study was to develop and evaluate a novel real-time PCR method for HCV genotyping based on the NS5B region.

Methodology/Principal Findings

Two triplex reaction sets were designed, one to detect genotypes 1a, 1b and 3a; and another to detect genotypes 2a, 2b, and 2c. This approach had an overall sensitivity of 97.0%, detecting 295 of the 304 tested samples. All samples genotyped by real-time PCR had the same type that was assigned using LiPA version 1 (Line in Probe Assay). Although LiPA v. 1 was not able to subtype 68 of the 295 samples (23.0%) and rendered different subtype results from those assigned by real-time PCR for 12/295 samples (4.0%), NS5B sequencing and real-time PCR results agreed in all 146 tested cases. Analytical sensitivity of the real-time PCR assay was determined by end-point dilution of the 5000 IU/ml member of the OptiQuant HCV RNA panel. The lower limit of detection was estimated to be 125 IU/ml for genotype 3a, 250 IU/ml for genotypes 1b and 2b, and 500 IU/ml for genotype 1a.

Conclusions/Significance

The total time required for performing this assay was two hours, compared to four hours required for LiPA v. 1 after PCR-amplification. Furthermore, the estimated reaction cost was nine times lower than that of available commercial methods in Brazil. Thus, we have developed an efficient, feasible, and affordable method for HCV genotype identification.

Molecular diagnostic techniques

Clinical microbiology laboratories increasingly rely on molecular diagnostic techniques. The various formats of nucleic acid amplification are the most frequently used molecular tests in the diagnosis of infectious diseases. In many clinical settings, polymerase chain reaction (PCR) is clearly the method of choice due to its exquisite sensitivity and specificity. Today, many conventional PCR methods are being replaced by real-time PCR, which allows more rapid detection and quantification of the PCR product, as well as detection of different strains of the pathogen by melting curve analysis. The ability to measure the quantity of microbe by quantitative PCR has become increasingly important, providing information on the progression and prognosis of disease, and effectiveness of treatment. Other widely used molecular diagnostic techniques are isothermal amplification methods and nucleic acid hybridization techniques. Microarray is a technique which holds promise and has an exceptional sensitivity and the capacity to detect several pathogens simultaneously. However, microarrays are currently too expensive to be adapted for routine diagnostics, and their diagnostic use requires broad-based nucleic acid amplification prior to analysis which is not well established. Several molecular methods can be used for genotyping, which allows the identification of different subtypes of the pathogen; genotyping plays a role in the risk assessment and management of infections. Clinicians need to recognize the enhanced accuracy and speed of the molecular diagnostic techniques for the diagnosis of infections, but also to understand their limitations. Laboratory results should always be interpreted in the context of the clinical presentation of the patient, and appropriate site, quality, and timing of specimen collection are required for reliable test results.

Evidence for a complex mosaic genome pattern in a full-length hepatitis C virus sequence

The genome of the hepatitis C virus (HCV) exhibits a high genetic variability. This remarkable heterogeneity is mainly attributed to the gradual accumulation of mutational changes, whereas the contribution of recombination events to the evolution of HCV remains controversial so far. While performing phylogenetic analyses including a large number of sequences deposited in the GenBank, we encountered a full-length HCV sequence (AY651061) that showed evidence for inter-subtype recombination and was, therefore, subjected to a detailed analysis of its molecular structure. The obtained results indicated that AY651061 does not represent a "simple" HCV 1c isolate, but a complex 1a/1c mosaic genome, showing five putative breakpoints in the core to NS3 regions. To our knowledge, this is the first report on a mosaic HCV full-length sequence with multiple breakpoints. The molecular structure of AY651061 is reminiscent of complex homologous recombinant variants occurring among other members of the flaviviridae family, e.g. GB virus C, dengue virus, and Japanese encephalitis virus. Our finding of a mosaic HCV sequence may have important implications for many fields of current HCV research which merit careful consideration.

Evaluation of Versant hepatitis C virus genotype assay (LiPA) 2.0

Hepatitis C virus (HCV) genotyping is a tool used to optimize antiviral treatment regimens. The newly developed Versant HCV genotype assay (LiPA) 2.0 uses sequence information from both the 5' untranslated region and the core region, allowing distinction between HCV genotype 1 and subtypes c to l of genotype 6 and between subtypes a and b of genotype 1. HCV-positive samples were genotyped manually using the Versant HCV genotype assay (LiPA) 2.0 system according to the manufacturer's instructions. For the comparison study, Versant HCV genotype assay (LiPA) 1.0 was used. In this study, 99.7% of the samples could be amplified, the genotype of 96.0% of samples could be determined, and the agreement with the reference method was 99.4% when a genotype was determined. The reproducibility study showed no significant differences in performance across sites (P = 0.43) or across lots (P = 0.88). In the comparison study, 13 samples that were uninterpretable or incorrectly genotyped with Versant HCV genotype assay (LiPA) 1.0 were correctly genotyped by Versant HCV genotype assay (LiPA) 2.0. Versant HCV genotype assay (LiPA) 2.0 is a sensitive, accurate, and reliable assay for HCV genotyping. The inclusion of the core region probes in Versant HCV genotype assay (LiPA) 2.0 results in a genotyping success rate higher than that of the current Versant HCV genotype assay (LiPA) 1.0.

Towards a better resolution of hepatitis C virus variants: CLIP sequencing of an HCV core fragment and automated assignment of genotypes and subtypes

Commercially available assays for typing of hepatitis C virus (HCV) isolates satisfy the current clinical needs. They are, however, limited in their ability to identify the multitude of existing HCV subtypes correctly. Therefore, these kits should only be used cautiously in epidemiological studies and will also not meet future clinical demands which might arise, e.g., from the application of HCV subtype-specific antiviral compounds. In an attempt to overcome the drawbacks of commercial typing procedures based on the analysis of the 5' untranslated region (5' UTR), an approach was developed which relies on CLIP sequencing of an HCV core fragment with automated assignments of types and subtypes via an originally created "core-specific" sequence database. The performance characteristics of the new technique were evaluated in comparison to the Trugene 5' NC Genotyping Kit. The core-based sequencing method could regularly detect HCV isolates of genotypes 1-6 with an analytical sensitivity of 5000 IU/ml. The accuracy of typing results obtained by the Trugene test was 97% (genotypes) and 81% (subtypes). The core-linked approach classified all HCV strains correctly on the level of genotypes and led to an adequate subtype assignment in 96% of all cases. This analytical performance characteristics recorded for the newly devised typing technique was superior to those reported for all commercially available assays, including a most recently released new generation of the line probe assay. Consequently, CLIP sequencing of an HCV core fragment with subsequent automated assignment of types and subtypes can be confidently used in clinical laboratory practice to answer current and also future questions in the context of HCV typing.

Transcription-mediated amplification linked to line probe assay as a routine tool for HCV typing in clinical laboratories

Typing of hepatitis C virus (HCV) isolates is currently a prerequisite for adequate tailoring of antiviral combination therapy. In many diagnostic laboratories, there seems to be a tendency toward convenient and time-saving procedures utilizing amplification products, which are already available from preceding qualitative or quantitative HCV ribonucleic acid (RNA) assays. In this context, we evaluated the performance characteristics of a combination of techniques, i.e., transcription-mediated amplification-line probe assay (TMA-LiPA), which links highly sensitive TMA of HCV RNA to the VERSANT HCV Genotype Assay (version 1). A total of 100 clinical samples were genotyped by TMA-LiPA. The obtained results were compared to those recorded by the original, nested reverse transcription (RT)-polymerase chain reaction (PCR)-based VERSANT assay, the core-related GEN-ETI-K DEIA, and phylogenetic analyses of partial sequences from the HCV core and NS5B regions. TMA-LiPA assigned the correct genotype to all 100 HCV isolates. For subtyping of genotype 1 and 2 isolates, TMA-LiPA only showed discriminatory powers of 82% and 53%, respectively. Thus, TMA-LiPA in our hands turned out as a convenient and time-saving routine procedure for HCV typing which currently provides sufficient information for clinical purposes. Like all 5'untranslated region (UTR)-based assays, the technique is limited, however, in its potentials to resolve the complexity of existing HCV subtypes.

Genotyping of hepatitis C virus isolates by a new line probe assay using sequence information from both the 5′untranslated and the core regions

The correct assessment of hepatitis C virus (HCV) genotypes and subtypes by commercial assays is of utmost importance mainly for the therapeutic management of patients suffering from HCV infections. In this study, the performance characteristics of a newly designed genotyping assay were evaluated that does not rely exclusively on sequence information derived from the 5'untranslated region but also takes into account part of the HCV core. One hundred and ten clinical specimens were tested by this new assay prior to its commercialisation. The obtained typing results were compared to those recorded by the 5'UTR-based Versant HCV Genotyping Assay, version 1, the core-related Gen-Eti K DEIA, and phylogenetic analyses of partial HCV core and NS5B sequences. The HCV genotypes and subtypes identified by the newly devised kit were completely in line with the assignments achieved by DEIA and phylogenetic analyses. In particular, all 64 HCV strains belonging to subtypes 1a or 1b were recognised correctly, and HCV 6e and 6f isolates were adequately assigned to subtypes 6c-l. Thus, the second generation of the Versant genotyping assay could overcome the drawbacks of its exclusively 5'UTR-based predecessor and will turn out to be a reliable tool for HCV typing in clinical laboratories.

HCV core protein immunization with Montanide/CpG elicits strong Th1/Th2 and long-lived CTL responses

An efficient vaccine against Hepatitis C virus (HCV) infection requires induction of strong humoral and cellular responses against viral proteins. We evaluated the immunogenicity of HCV core protein (HCVcp), a prime vaccine candidate, formulated in various human compatible adjuvants. An Escherichia coli-expressed HCVcp, purified in native conditions was used for murine immunization in separate groups of: free HCVcp (Ag), Ag+C/IFA (Freunds), Ag+CpG, Ag+M720 (Montanide ISA 720), Ag+F127 (Pluronic acid) and cocktails of Ag+F127+CpG and Ag+M720+CpG. Mice immunized with M720(+CpG) developed the highest HCVcp-specific titers of total IgG, IgG1, 2a, 2b, and that of IFN-gamma and IL-4 cytokines compared to all other groups. HCVcp-specific-CTLs against relevant MHC class I peptides were detected only for Ag+M720+CpG, Ag+M720, and Ag+CpG groups and could be blocked by antimouse-CD8 antibodies. While CTLs were stable, only F127 formulated groups demonstrated detectable IgG antibodies one year post-immunization. Hence, HCVcp formulated in M720 (with a synergistic effect by inclusion of CpG) could induce balanced and strong Th1/Th2 responses with long-lived CD4(-)CD8(+) CTLs.

The phylogenetic analysis of hepatitis C virus isolates obtained from two Iranian carriers revealed evidence for a new subtype of HCV genotype 3

Classification of hepatitis C virus is based on phylogenetic analysis of the strains reported world wide. Different strains are classified within 6 major genotypes and several minor groups (subtypes). In addition to epidemiologic value of determining genotype/subtype of this virus, the result may change the therapeutic strategy used for a patient. During a survey on hepatitis C in Iran, we found two cases assigned as 1b genotype by PCR-RFLP on 5' UTR, but three based on core region sequencing. Fragments from 5' UTR, Core and NS5b regions were PCR-amplified and sequenced followed by phylogenetic analysis. Although the 5' UTR of this new strain is very similar to genotypes 1 and 6, analysis of core region classifies it in a separate branch of genotype 3, close to subtypes h and k. Further analysis of NS5b region put this new strain in a separate branch near other subtypes of genotype 3 and 4. These data are suggestive of a new subtype within genotype 3.

Comparative analysis of hepatitis C virus phylogenies from coding and non-coding regions: the 5' untranslated region (UTR) fails to classify subtypes

Background

The duration of treatment for HCV infection is partly indicated by the genotype of the virus. For studies of disease transmission, vaccine design, and surveillance for novel variants, subtype-level classification is also needed. This study used the Shimodaira-Hasegawa test and related statistical techniques to compare phylogenetic trees obtained from coding and non-coding regions of a whole-genome alignment for the reliability of subtyping in different regions.

Results

Different regions of the HCV genome yield inconsistent phylogenies, which can lead to erroneous conclusions about classification of a given infection. In particular, the highly conserved 5' untranslated region (UTR) yields phylogenetic trees with topologies that differ from the HCV polyprotein and complete genome phylogenies. Phylogenetic trees from the NS5B gene reliably cluster related subtypes, and yield topologies consistent with those of the whole genome and polyprotein.

Conclusion

These results extend those from previous studies and indicate that, unlike the NS5B gene, the 5' UTR contains insufficient variation to resolve HCV classifications to the level of viral subtype, and fails to distinguish genotypes reliably. Use of the 5' UTR for clinical tests to characterize HCV infection should be replaced by a subtype-informative test.

Genotyping hepatitis C viruses from Southeast Asia by a novel line probe assay that simultaneously detects core and 5' untranslated regions

Hepatitis C viruses (HCVs) display a high level of sequence diversity and are currently divided into six genotypes. A line probe assay (LiPA), which targets the 5' untranslated region (5'UTR) of the HCV genome, is widely used for genotyping. However, this assay cannot distinguish many genotype 6 subtypes from genotype 1 due to high sequence similarity in the 5'UTR. We investigated the accuracy of a new generation LiPA (VERSANT HCV genotype 2.0 assay), in which genotyping is based on 5'UTR and core sequences, by testing 75 selected HCV RNA-positive sera from Southeast Asia (Vietnam and Thailand). For comparison, sera were tested on the 5'UTR based VERSANT HCV genotype assay and processed for sequence analysis of the 5'UTR-to-core and NS5b regions as well. Phylogenetic analysis of both regions revealed the presence of genotype 1, 2, 3, and 6 viruses. Using the new LiPA assay, genotypes 6c to 6l and 1a/b samples were more accurately genotyped than with the previous test only targeting the 5'UTR (96% versus 71%, respectively). These results indicate that the VERSANT HCV genotype 2.0 assay is able to discriminate genotypes 6c to 6l from genotype 1 and allows a more accurate identification of genotype 1a from 1b by using the genotype-specific core information.