Chronic hepatitis C virus infection: genotyping and its clinical role

Patients With Chronic Hepatitis C Virus Infection Are at an Increased Risk of Colorectal Cancer: A Nationwide Population-Based Case-Control Study in Taiwan

Aim

Studies evaluating colorectal cancer (CRC) risk associated with chronic hepatitis C virus (HCV) infection are limited.

Methods

In this case-control study, we identify 67,670 CRC cases newly diagnosed from 2005 to 2011 and randomly selected 67,670 controls without HCV and CRC from the same database, frequency matched by age and sex of cases.

Results

Results of logistic regression analysis revealed that the adjusted odds ratio (aOR) of CRC was 1.16 (95% confidence interval [CI] = 1.08–1.24, p < 0.001) in association with chronic HCV. The CRC risk was slightly greater for women than for men. The risk decreased with age, with the aOR decreased from 2.26 (95% CI = 1.32–3.87, p = 0.003) in patients under 45 years old to 1.31 (95% CI = 1.10–1.55, p = 0.03) in patients aged 50–59, and 1.10 (95% CI = 1.00–1.22, p = 0.061) in patients aged over 70.

Conclusions

Our findings suggested that patients with chronic HCV infection are at an elevated risk of developing CRC. Our data also imply that the CRC prevention programs are needed to target younger HCV patients.

Enhanced Efficacy of Direct-Acting Antivirals in Hepatitis C Patients by Coadministration of Black Cumin and Ascorbate as Antioxidant Adjuvants

The widespread adaptation of a new generation of direct-acting antiviral agents (DAAs) unveils a superlative effect in the eradication of the hepatitis C virus (HCV). However, this therapy has been reported to exhibit vigorous side effects that pose a risk in fleet recovery. This study was conducted to investigate the efficacy of DAAs: sofosbuvir (SOF) and ribavirin (RBV), along with black cumin (BLC) and ascorbate (ASC), as adjuvants on hematological parameters; oxidative stress markers such as total antioxidant status (TAS), superoxide dismutase (SOD), reduced (GSH) and oxidized (GSSG) glutathione (GSH), gamma-glutamyl transferase (GGT), and malondialdehyde (MDA); liver function markers such as aspartate transaminase (AST), alanine aminotransferase (ALT), bilirubin, and alkaline phosphatase (ALP); and viral load with determined genotypes. HCV-infected patients (n = 30) were randomly divided into two equal groups: control group (n = 15) and treatment group (n = 15). The control group was subjected only to SOF and RBV (400 mg each/day). Synergistically, the treatment group was administered with adjuvant therapy of BLC (250 mg/day) and ASC (1000 mg/day) along with DAAs (400 mg each/day) for 8 weeks. All selected patients were subjected to sampling at pre- and posttreatment stages for the assessment of defined parameters. The data revealed that the BLC/ASC adjuvant therapy boosted the efficacy of DAAs by reducing the elevated levels of liver markers such as AST, ALT, ALP, and bilirubin in the treatment group compared with those in the control group (P > 0.05). The adjuvant therapy synchronously showed an ameliorating effect on hematological parameters. The SOF/RBV with adjuvant therapy also demonstrated an increasing effect in the activity of SOD, TAS, and GSH and a decreasing effect for GSSG, GGT, and malondialdehyde (MDA; P > 0.05) followed by curtailing a RT-PCR-quantified viral load. Our findings provide evidence that systemic administration of BLC/ASC efficiently alleviates hematological, serological, and antioxidant markers as well as the viral load in hepatitis C patients. This highlights a potentially novel role of BLC and ASC in palliating hepatitis C.

Hepatitis C virus: Morphogenesis, infection and therapy

Hepatitis C virus (HCV) is a major cause of liver diseases including liver cirrhosis and hepatocellular carcinoma. Approximately 3% of the world population is infected with HCV. Thus, HCV infection is considered a public healthy challenge. It is worth mentioning, that the HCV prevalence is dependent on the countries with infection rates around 20% in high endemic countries. The review summarizes recent data on HCV molecular biology, the physiopathology of infection (immune-mediated liver damage, liver fibrosis and lipid metabolism), virus diagnostic and treatment. In addition, currently available in vitro, ex vivo and animal models to study the virus life cycle, virus pathogenesis and therapy are described. Understanding of both host and viral factors may in the future lead to creation of new approaches in generation of an efficient therapeutic vaccine.

Subtyping of hepatitis C virus with high resolution mass spectrometry

A proteotyping approach using high resolution mass spectrometry has been applied, for the first time, to subtype the hepatitis C virus based upon detection of one or more signature peptides derived from the E1 and E2 envelope glycoproteins. These signature peptides represent conserved peptide segments within these proteins for particular subtypes of the virus that are found to be unique in mass when compared with the theoretical masses for all peptide segments of translated HCV proteins within a specifically constructed database. The successful application of the approach to three different subtypes of the virus (i.e., 1a, 1b and 2b) is demonstrated for protein and whole virus proteolytic digests. The approach has the potential to replace existing PCR-based subtyping by offering a more direct and cost comparable strategy that is not challenged by mixed infection scenarios.

Hepatitis C virus: life cycle in cells, infection and host response, and analysis of molecular markers influencing the outcome of infection and response to therapy

Hepatitis C virus (HCV) is a major global health burden accounting for around 170 million chronic infections worldwide. Since its discovery, which dates back to about 30 years ago, many details of the viral genome organization and the astonishing genetic diversity have been unveiled but, owing to the difficulty of culturing HCV in vitro and obtaining fully susceptible yet immunocompetent in vivo models, we are still a long way from the full comprehension of viral life cycle, host cell pathways facilitating or counteracting infection, pathogenetic mechanisms in vivo, and host defences. Here, we illustrate the viral life cycle into cells, describe the interplay between immune and genetic host factors shaping the course of infection, and provide details of the molecular approaches currently used to genotype, monitor replication in vivo, and study the emergence of drug-resistant viral variants.

Genotypes of hepatitis C virus in relapsed and non-respondent patients and their response to anti-viral therapy in district Mardan, Khyber Pakhtunkhawa, Pakistan

Hepatitis C is a blood-borne infectious disease of liver, caused by a small enveloped, positive-single stranded RNA virus, called the hepatitis C virus (HCV). HCV belongs to the Flaviviridae family and has 6 genotypes and more than 100 subtypes. It is estimated that 185 million people are infected with HCV worldwide and 5% of these are in Pakistan. The study was designed to evaluate different genotypes of HCV circulating in District Mardan and to know about the behavior of these genotypes to different anti-viral regimes. In this study 3,800 patients were exposed to interferon alfa-2a plus Ribavirin treatment for 6-months and subjected to real-time PCR to check the viral response. Among these 3,677 (97%) patients showed no detectable HCV RNA while 123 (3%) patients (non-responders) remained positive for HCV RNA. Genotypes of their analyzed showed that most of them belonged to the 3a genotype. Non-responders (123) and relapsed (5) patients were subjected to PEG-interferon and Ribavirin therapy for next 6 months, which resulted into elimination of HCV RNA from 110 patients. The genotypes of the persisting resistant samples to anti-viral treatment were 3b, 2a, 1a and 1b. Furthermore, viral RNA from 6 patients remained un-typed while 4 patients showed mixed infections. HCV was found more resistant to antiviral therapy in females as compared to mals. The age group 36-45 in both females and males was found most affected by infection. In general 3a is the most prevalent genotype circulating in district Mardan and the best anti-viral therapy is PEG-interferon plus Ribavirin but it is common practice that due to the high cost patients receive interferon alfa-2a plus Ribavirin with consequent resistance in 3% patients given this treatment regime.

The Molecular Epidemiological Study of HCV Subtypes among Intravenous Drug Users and Non-Injection Drug Users in China

Background

More than half of intravenous drug users (IDUs) in China suffer from the Hepatitis C virus (HCV). The virus is also more prevalent in non-injection drug users (NIDUs) than in the general population. However, not much is known about HCV subtype distribution in these populations.

Methods

Our research team conducted a cross-sectional study in four provinces in China. We sampled 825 IDUs and 244 NIDUs (1162 total), genotyped each DU’s virus, and performed a phylogenetic analysis to differentiate HCV subtypes.

Results

Nucleic acid testing (NAT) determined that 82% percent (952/1162) of samples were HCV positive; we subtyped 90% (859/952) of these. We found multiple HCV subtypes: 3b (249, 29.0%), 3a (225, 26.2%), 6a (156, 18.2%), 1b (137, 15.9%), 6n (50, 5.9%), 1a (27, 3.1%), and 2a (15, 1.7%). An analysis of subtype distributions adjusted for province found statistically significant differences between HCV subtypes in IDUs and NIDUs.

Discussion

HCV subtypes 3b, 3a, 6a, and 1b were the most common in our study, together accounting for 89% of infections. The subtype distribution differences we found between IDUs and NIDUs suggested that sharing syringes was not the most likely pathway for HCV transmission in NIDUs. However, further studies are needed to elucidate how NIDUs were infected.

Features of hepatitis C virus infection, current therapies and ongoing clinical trials in ten Asian Pacific countries

Estimated hepatitis C virus (HCV) infection rates in the general populations were 1.3, 0.9, 0.4-1.0, 14.7, 0.1-0.3, 0.9-1.9, 1.0-2.0, 5, 4.4-8.6 and 0.5-1.3 % in Australia, Bangladesh, Mainland China, Egypt, Hong Kong, India, Japan, Pakistan, Taiwan and Turkey, respectively. The main HCV genotypes (Gs) are G1, G3, G1b, G4, G1b, G3, G1b, G3, G1b and G2, and G1 in Australia, Bangladesh, Mainland China, Egypt, Hong Kong, India, Japan, Pakistan, Taiwan and Turkey, respectively. Of IL28B genotypes, favorable alleles are ~50 % in Australia and Turkey, but 60-70 % in most of the other Asian countries. Peginterferon plus ribavirin is available in all ten Asian Pasific countries. In addition, HCV NS3/4A protease inhibitors with peginterferon plus ribavirin are currently available in several countries. Clinical trials of interferon-free regimens for HCV are ongoing in most of the ten Asian Pacific countries.

Treating hepatitis C - what's new?

Chronic hepatitis C infection causes cirrhosis, liver failure and hepatocellular carcinoma, and is the most common indication for liver transplantation. Hepatitis C is curable and complications can be prevented. Until recently, treatment regimens involved peginterferon alfa. Although effective, their widespread use is limited by treatment-related toxicity. A number of direct-acting drugs for hepatitis C, such as sofosbuvir, have recently been developed and target multiple steps in the viral life cycle. These drugs are used in combination in interferon-free regimens. Short courses are highly effective with minimal toxicity.

Activins and Follistatin in Chronic Hepatitis C and Its Treatment with Pegylated-Interferon-α Based Therapy

Pegylated-interferon-α based therapy for the treatment of chronic hepatitis C (CHC) is considered suboptimal as not all patients respond to the treatment and it is associated with several side effects that could lead to dose reduction and/or termination of therapy. The currently used markers to monitor the response to treatment are based on viral kinetics and their performance in the prediction of treatment outcome is moderate and does not combine accuracy and their values have several limitations. Hence, the development of new sensitive and specific predictor markers could provide a useful tool for the clinicians and healthcare providers, especially in the new era of interferon-free therapy, for the classification of patients according to their response to the standard therapy and only subscribing the novel directly acting antiviral drugs to those who are anticipated not to respond to the conventional therapy and/or have absolute contraindications for its use. The importance of activins and follistatin in the regulation of immune system, liver biology, and pathology has recently emerged. This review appraises the up-to-date knowledge regarding the role of activins and follistatin in liver biology and immune system and their role in the pathophysiology of CHC.

Oxidative stress response in patients infected by diverse hepatitis C virus genotypes

BACKGROUND

The molecular mechanism of hepatitis C-virus (HCV) genome-specific pathogenesis remains unclear. Oxidative stress is an important pathophysiological mechanism in chronic HCV infection, but its relation to HCV genotypes has not been thoroughly examined.

OBJECTIVES

In the present case-control study, the effect of diverse HCV genotypes on oxidative status changes was investigated.

PATIENTS AND METHODS

From 310 patients examined by enzyme immunoassay and PCR, 160 patients with positive results for HCV with previously determined genotypes were chosen. For the control group, 160 first time blood donors referred to the Regional Blood Transfusion organization of the West Azerbaijan province, northwestern Iran were selected. Oxidative stress markers such as total antioxidant status (TAS), serum levels of reduced (GSH) and oxidized (GSSG) glutathione, Gamma-glutamyl transferase (GGT) and malondialdehyde (MDA) were evaluated in patients infected with diverse HCV genotypes and those in the control group.

RESULTS

In the patient and control groups, the mean ± SE of TAS, GSH, GSSG, GGT and MDA were 1.04 ± 0.35 vs. 2.68 ± 0.77, 1.25 ± 0.37 vs. 3.12 ± 0.58, 0.20 ± 0.05 vs. 0.08 ± 0.04, 26.82 ± 5.62 vs 8.28 ± 2.03 and 2.56 ± 0.60 vs. 0.93 ± 0.34. All markers had statistical difference between the two groups (P <0.05). Obvious differences were found in oxidant/antioxidant balance among diverse HCV genotypes with an ascending trend in antioxidant levels among patients infected with genotypes 1a/b, 4, 2a/c, 2b, 3a and healthy controls and a vice versa trend in measures of oxidative markers except for malondialdehyde with a variable pattern.

CONCLUSIONS

More serious disease in HCV genetic subtype 1a/1b might be associated with more severe oxidative stress. Milder damage in subtypes 4, 2a/c, 2b and 3a could be related to lower oxidative response, respectively. A combination of antiviral and antioxidative therapies may enhance the overall response rate of patients with HCV infection, especially with more destructive genotypes.

Understanding the molecular mechanism(s) of hepatitis C virus (HCV) induced interferon resistance

Hepatitis C virus (HCV) is one of the foremost causes of chronic liver disease affecting over 300 million globally. HCV contains a positive-stranded RNA of ~9600 nt and is surrounded by the 5' and 3'untranslated regions (UTR). The only successful treatment regimen includes interferon (IFN) and ribavirin. Like many other viruses, HCV has also evolved various mechanisms to circumvent the IFN response by blocking (1) downstream signaling actions via STAT1, STAT2, IRF9 and JAK-STAT pathways and (2) repertoire of IFN Stimulatory Genes (ISGs). Several studies have identified complex host demographic and genetic factors as well as viral genetic heterogeneity associated with outcomes of IFN therapy. The genetic predispositions of over 2000 ISGS may render the patients to become resistant, thus identification of such parameters within a subset of population are necessary for management corollary. The ability of various HCV genotypes to diminish IFN antiviral responses plays critical role in the establishment of chronic infection at the acute stage of infection, thus highlighting importance of the resistance in HCV treated groups. The recently defined role of viral protein such as C, E2, NS3/NS4 and NS5A proteins in inducing the IFN resistance are discussed in this article. How the viral and host genetic composition and epistatic connectivity among polymorphic genomic sites synchronizes the evolutionary IFN resistance trend remains under investigation. However, these signals may have the potential to be employed for accurate prediction of therapeutic outcomes. In this review article, we accentuate the significance of host and viral components in IFN resistance with the aim to determine the successful outcome in patients.

The impact of polymorphisms in STAT6 on treatment outcome in HCV infected Taiwanese Chinese

Genetic polymorphisms observed in various disease states associated with sensitivity or resistance to specific treatments have been a robust area of investigation for decades, with the potential to allow clinicians to make evidence-based decisions on the appropriate course of treatment. This study aimed to evaluate whether genetic polymorphisms of the signal transducer and activator of transcription 6 gene (STAT6) could be associated with a sustained virological response (SVR) among patients infected with hepatitis C virus genotypes 1 and 2 (HCV-1 and HCV-2) who were treated with peginterferon plus ribavirin (PEG-IFNα-RBV). We analyzed the associations between SVR to PEG-IFNα-RBV therapy and 4 single nucleotide polymorphisms (SNPs) in STAT6. This study included Taiwanese Chinese patients infected with either HCV-1 (n = 265) or HCV-2 (n = 195) in the presence or absence of an SVR. Among the STAT6 SNPs examined, the dosage effect of the A allele and allele frequency in rs1059513 were inversely correlated with SVR in patients infected with HCV-1 (P = 0.0179 and P = 0.0235, respectively). This effect was not observed in patients infected with HCV-2. The GG, GGG, and GGGC STAT6 haplotypes comprising 2, 3, and 4 SNPs (rs1059513, rs703817, rs324015, and rs3024974) were found to be associated with SVR, and their presence may increase the probability of a successful treatment outcome in patients infected with HCV-1 (P = 0.0273, 0.0352, and 0.0368, respectively). Moreover, a multivariate logistic regression model for predicting an SVR revealed that the presence of the GGGC haplotype carriers mutually affected the outcome of PEG-IFNα-RBV treatment. The presence of STAT6 SNPs and the association with SVR demonstrated that STAT6 polymorphisms might influence the therapeutic outcomes of patients infected with HCV-1 under standard-of-care (SOC) treatment.

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.

Neurological complications of hepatitis C infection

Though well-known as a cause of liver disease, Hepatitis C virus infection is emerging as a cause of a variety of peripheral and central nervous system disorders. The virus causes chronic persistent infection with complex immune responses in the majority of individuals. Viral infection may have the potential to generate neurological illness through direct infection of neural cells or through immune-mediated mechanisms, including enhancement of autoimmune responses. Moreover, the mainstay of antiviral treatment of hepatitis C infection, interferon-alpha, is itself associated with neurological morbidity. Thus neurologists are increasingly faced with diagnosing or even predicting a wide spectrum of neurological complications of hepatitis C infection and/or its treatment.

APASL consensus statements and management algorithms for hepatitis C virus infection

The Asian Pacific Association for the Study of the Liver (APASL) convened an international working party on the "APASL Consensus Statements and Management Algorithms for Hepatitis C Virus Infection" in December, 2010, in order to revise "Asian Pacific Association for the Study of the Liver consensus statements on the diagnosis, management and treatment of hepatitis C virus infection (J Gastroenterol Hepatol 22:615-633, 2007)". The working party consisted of expert hepatologists from the Asian-Pacific region gathered at Makuhari, Chiba, Japan on 19 December 2010. New data were presented, discussed and debated to draft a revision. Participants of the consensus meeting assessed the quality of cited studies. Finalized recommendations are presented in this review.

Translating pharmacogenetics into clinical practice: interleukin (IL)28B and inosine triphosphatase (ITPA) polymophisms in hepatitis C virus (HCV) infection

Hepatitis C virus (HCV) infection is frequently characterized by evolution to chronicity and by a variable clinical course of the disease. The clinical heterogeneities of HCV infection and the imperfect predictability of the response to interferon (IFN) have suggested the need to search for a genetic basis of clinical features. This led to the discovery of genetic polymorphisms playing a major role in the evolution of infection, as well as on treatment response and adverse effects. This review will cover recent reports on the subject, focusing on the potential use of the new genetic markers in the diagnostic algorithm for the stratification of patients for personalized antiviral regimens.

An IL28B genotype-based clinical prediction model for treatment of chronic hepatitis C

BACKGROUND

Genetic variation in IL28B and other factors are associated with sustained virological response (SVR) after pegylated-interferon/ribavirin treatment for chronic hepatitis C (CHC). Using data from the HALT-C Trial, we developed a model to predict a patient's probability of SVR based on IL28B genotype and clinical variables.

METHODS

HALT-C enrolled patients with advanced CHC who had failed previous interferon-based treatment. Subjects were re-treated with pegylated-interferon/ribavirin during trial lead-in. We used step-wise logistic regression to calculate adjusted odds ratios (aOR) and create the predictive model. Leave-one-out cross-validation was used to predict a priori probabilities of SVR and determine area under the receiver operator characteristics curve (AUC).

RESULTS

Among 646 HCV genotype 1-infected European American patients, 14.2% achieved SVR. IL28B rs12979860-CC genotype was the strongest predictor of SVR (aOR, 7.56; p<.0001); the model also included HCV RNA (log10 IU/ml), AST:ALT ratio, Ishak fibrosis score and prior ribavirin treatment. For this model AUC was 78.5%, compared to 73.0% for a model restricted to the four clinical predictors and 60.0% for a model restricted to IL28B genotype (p<0.001). Subjects with a predicted probability of SVR <10% had an observed SVR rate of 3.8%; subjects with a predicted probability >10% (43.3% of subjects) had an SVR rate of 27.9% and accounted for 84.8% of subjects actually achieving SVR. To verify that consideration of both IL28B genotype and clinical variables is required for treatment decisions, we calculated AUC values from published data for the IDEAL Study.

CONCLUSION

A clinical prediction model based on IL28B genotype and clinical variables can yield useful individualized predictions of the probability of treatment success that could increase SVR rates and decrease the frequency of futile treatment among patients with CHC.

Interferon-alfa, interferon-lambda and hepatitis C

Three new studies report genetic variants near IL28B , which encodes interferon-λ3 (interleukin 28B), are associated with response to treatment of chronic hepatitis C virus infection with interferon-alfa/ribavirin combination therapy. This renews interest in how interferons suppress viremia and could lead to improved clinical decisions for chronic HCv infection treatment based on individual genotype.

Hepatitis C virus genotype 1b as a risk factor for hepatocellular carcinoma development: a meta-analysis

BACKGROUND/AIMS

Hepatitis C virus (HCV) is a known risk factor for hepatocellular carcinoma (HCC), but whether the risk varies among patients infected with different HCV genotypes is still controversial. We performed a meta-analysis to clarify whether the genotype 1b is associated with a higher risk of HCC than other genotypes.

METHODS

We identified 57 relevant papers through a literature search to December 2007 but, since age could represent a major confounder, we focused the meta-analysis on the 21 studies presenting age-adjusted risk estimates for HCV genotype 1b vs. other genotypes. We used random-effects models with the DerSimonian-Laird method and assessed heterogeneity between studies and publication bias.

RESULTS

Patients infected with HCV genotype 1b have almost double the risk to develop HCC than those infected with other genotypes (Relative Risk (95% Confidence Intervals) = 1.78(1.36-2.32)). The pooled risk estimate was somewhat lower when we restricted the analysis to the eight studies conducted in patients with liver cirrhosis (1.60;1.07-2.39) or considering the 36 studies presenting only crude data (1.63;1.30-2.06). In seven studies excluding patients with liver cirrhosis, the RR (95% CI) increased to 2.46(1.69-3.59).

CONCLUSIONS

This meta-analysis suggests that HCV genotype 1b plays an important role in HCC development, especially in patients with early stage liver disease.

Early gene expression profiles of patients with chronic hepatitis C treated with pegylated interferon-alfa and ribavirin

Responsiveness to hepatitis C virus (HCV) therapy depends on viral and host factors. Our aim was to assess sustained virologic response (SVR)-associated early gene expression in patients with HCV receiving pegylated interferon-alpha2a (PEG-IFN-alpha2a) or PEG-IFN-alpha2b and ribavirin with the duration based on genotypes. Blood samples were collected into PAXgene tubes prior to treatment as well as 1, 7, 28, and 56 days after treatment. From the peripheral blood cells, total RNA was extracted, quantified, and used for one-step reverse transcription polymerase chain reaction to profile 154 messenger RNAs. Expression levels of messenger RNAs were normalized with six "housekeeping" genes and a reference RNA. Multiple regression and stepwise selection were performed to assess differences in gene expression at different time points, and predictive performance was evaluated for each model. A total of 68 patients were enrolled in the study and treated with combination therapy. The results of gene expression showed that SVR could be predicted by the gene expression of signal transducer and activator of transcription-6 (STAT-6) and suppressor of cytokine signaling-1 in the pretreatment samples. After 24 hours, SVR was predicted by the expression of interferon-dependent genes, and this dependence continued to be prominent throughout the treatment.

CONCLUSION

Early gene expression during anti-HCV therapy may elucidate important molecular pathways that may be influencing the probability of achieving virologic response.

The global burden of hepatitis C

Hepatitis C is of concern both to industrialized and developing countries. Preliminary unpublished estimates of the global burden of disease (GBD) attributable to HCV-related chronic liver disease seem to be substantial. Therefore, the reduction of global mortality and morbidity related to chronic hepatitis C should be a concern to public health authorities, and primary, secondary and tertiary prevention activities should be implemented and monitored in each country, with precise targets set to be reached. In order to decide on national health policies, there is a need to estimate the burden of disease, globally, regionally and nationally. To evaluate the GBD, three components have to be assessed: 1) The global, regional and national burden of morbidity and mortality associated with HCV infection, based on prevalence, incidence, transmission and economics; 2) The natural history of HCV infection, including 'healthy individuals'; and 3) The areas for which more research is needed. A working group was created to assist the World Health organization (WHO) in estimating the GBD associated with HCV infection.

Screening for genetic heterogeneity in the interferon sensitivity determining region of the hepatitis C virus genome by polymerase chain reaction with melting curve analysis

BACKGROUND

Although mutations in the interferon (IFN) sensitivity determining region (ISDR) of hepatitis C virus (HCV) have been reported to be useful as a predictive viral factor for IFN therapy in patients infected with HCV-1b, such laboratory research has not been favorably translated into the clinic. To promote such translation, we attempted the establishment of a rapid and simple polymerase chain reaction (PCR) combined with melting curve analysis (MCA) to screen for mutations in the ISDR and for the monitoring of HCV quasispecies.

METHODS

A PCR-MCA protocol was established using in-house primers and hybridization probes designed according to the results of direct sequencing of 34 HCV-1b samples. Then, the performance of PCR-MCA was verified by comparing with mutation profiles obtained by direct sequencing and sequencing after cloning.

RESULTS

The MCA assay revealed that melting temperature (Tm) was inversely correlated with the number of nucleotide (nt) and amino acid substitutions in the ISDR deduced on the basis of the results of direct sequencing. A boundary Tm of 58.0 degrees C allowed us to discriminate HCV genomes into two groups: one with a Tm >58.0 degrees C had no or a low number of nt substitutions, while the other genomes with a Tm <58.0 degrees C had a high number of nt substitutions, corresponding to wild-type in the former and mutant-type in the latter in respect of a clinical setting for IFN therapy. Moreover, this MCA assay provided precise discrimination of Tm between clones, reflecting the degree of the genetic complexity of HCV genomes.

CONCLUSIONS

This study indicates that the MCA assay is useful to rapidly and simply screen the mutational status of the ISDR of HCV, as well as in using the ISDR as one of the targets for discriminating the genetic complexity of HCV genomes. The MCA assay could also be applicable as a convenient and useful screen of the genetic heterogeneity of clones relating to HCV quasispecies.

Using maximum likelihood method to detect adaptive evolution of HCV envelope protein-coding genes

Nonsynonymous-synonymous substitution rate ratio (d N /d S ) is an important measure for evaluating selective pressure based on the protein-coding sequences. Maximum likelihood (ML) method with codon-substitution models is a powerful statistic tool for detecting amino acid sites under positive selection and adaptive evolution. We analyzed the hepatitis C virus (HCV) envelope protein-coding sequences from 18 general geno/subtypes worldwide, and found 4 amino acid sites under positive selection. Since these sites are located in different immune epitopes, it is reasonable to anticipate that our study would have potential values in biomedicine. It also suggests that the ML method is an effective way to detect adaptive evolution in virus proteins with relatively high genetic diversity.