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Distribution pattern of HCV genotypes & its association with viral load.

ABSTRACT: BACKGROUND & OBJECTIVES: Hepatitis C virus (HCV) has emerged as a leading cause of chronic hepatitis, liver cirrhosis and hepatocellular carcinoma worldwide. Genotyping and assessment of the viral load in HCV patients is important for designing the therapeutic strategies. Thus the present study was designed to determine the distribution pattern of HCV genotypes in chronic hepatitis patients and their association with the viral load and biochemical profiles. METHODS: Seventy one HCV RNA positive patients were included in the study. HCV genotyping was carried out by restriction fragment length polymorphism (RFLP) followed by the direct sequencing of the core region. Viral load estimation was carried out by Taqman real time PCR system. RESULTS: Sixty three per cent (45/71) of cases were infected with genotype 3 followed by genotype 1 in 30.98 per cent (22/71) and genotype 2 in 5.63 per cent (4/71) of cases. Genotype 1 was associated with a significantly (P<0.001) higher viral load as compared to genotypes 3 and 2. There was no significant difference seen in the biochemical profile between the three groups of genotypes except in the levels of SGOT. The commonest mode of transmission was parenteral which accounted for 68 per cent of all the infected cases. INTERPRETATION & CONCLUSIONS: The present study revealed that HCV genotype 3 and 1 accounted for approximately 95 per cent of the HCV infection in Delhi and surrounding areas. Also two atypical subtypes like 3i and 3f were identified. Genotype 1 was associated with more severity of liver disease as compared to genotypes 3 and 2 as assessed by viral load.

SUBMITTER: Chakravarti A

PROVIDER: S-EPMC3103160 | biostudies-literature | 2011 Mar

REPOSITORIES: biostudies-literature

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Distribution pattern of HCV genotypes & its association with viral load.

Chakravarti Anita A Dogra Gaurav G Verma Vikas V Srivastava Amit Parkash AP

The Indian journal of medical research 20110301

<h4>Background & objectives</h4>Hepatitis C virus (HCV) has emerged as a leading cause of chronic hepatitis, liver cirrhosis and hepatocellular carcinoma worldwide. Genotyping and assessment of the viral load in HCV patients is important for designing the therapeutic strategies. Thus the present study was designed to determine the distribution pattern of HCV genotypes in chronic hepatitis patients and their association with the viral load and biochemical profiles.<h4>Methods</h4>Seventy one HCV ...[more]

PMID: 21441689

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Project description:BackgroundThe knowledge of circulating HCV genotypes and subtypes in a country is crucial to guide antiviral therapy and to understand local epidemiology. Studies investigating circulating HCV genotypes and their trends have been conducted in Belgium. However they are outdated, lack nationwide representativeness or were not conducted in the general population.MethodsIn order to determine the distribution of different circulating HCV genotypes in Belgium, we conducted a multicentre study with all the 19 Belgian laboratories performing reimbursed HCV genotyping assays. Available genotype and subtype data were collected for the period from 2008 till 2015. Furthermore, a limited number of other variables were collected: some demographic characteristics from the patients and the laboratory technique used for the determination of the HCV genotype.ResultsFor the study period, 11,033 unique records collected by the participating laboratories were used for further investigation. HCV genotype 1 was the most prevalent (53.6%) genotype in Belgium, with G1a and G1b representing 19.7% and 31.6%, respectively. Genotype 3 was the next most prevalent (22.0%). Further, genotype 4, 2, and 5 were responsible for respectively 16.1%, 6.2%, and 1.9% of HCV infections. Genotype 6 and 7 comprise the remaining <1%. Throughout the years, a stable distribution was observed for most genotypes. Only for genotype 5, a decrease as a function of the year of analysis was observed, with respectively 3.6% for 2008, 2.3% for 2009 and 1.6% for the remaining years. The overall M:F ratio was 1.59 and was mainly driven by the high M:F ratio of 3.03 for patients infected with genotype 3. Patients infected with genotype 3 are also younger (mean age 41.7 years) than patients infected with other genotypes (mean age above 50 years for all genotypes). The patients for whom a genotyping assay was performed in 2008 were younger than those from 2015. Geographical distribution demonstrates that an important number of genotyped HCV patients live outside the Belgian metropolitan cities.ConclusionThis national monitoring study allowed a clear and objective view of the circulating HCV genotypes in Belgium and will help health authorities in the establishment of cost effectiveness determinations before implementation of new treatment strategies. This baseline characterization of the circulating genotypes is indispensable for a continuous surveillance, especially for the investigation of the possible impact of migration from endemic regions and prior to the increasing use of highly potent direct-acting antiviral (DAA) agents.

Project description:BACKGROUND: HCV RNA viral load is an important predictor of sustained virological response and, recently, a significant correlation with liver fibrosis was described. We investigated on possible influence of clinical and viro-immunological variables on HCV viral load in HIV-HCV co-infected patients over a study time of three years (2009-2012). METHODS: We retrospectively enrolled 98 adult patients with a diagnosis of chronic HIV infection in 2009, a diagnosis of chronic HCV infection with a detectable plasma HCV RNA in 2009 and 2012, HCV therapy-naïve or with failed and stopped antiviral treatment before June 2008. The following variables were recorded: age, gender, HCV genotype, IL28B rs12979860 CC genotype, HCV treatment status, advanced liver fibrosis diagnosis, antiretroviral therapy, CD4+ cell count, HCV viral load, HIV RNA (plasma HIV-1 RNA levels were measured from blood samples every three months at least). The correlation was established using linear regression analysis, analysis of variance and Fisher's exact test. Comparisons between groups were performed using Fisher's exact test, the independent samples t-test and the t-test for paired data, as appropriate, for continuous variables. A mixed mode (ME) maximum likelihood linear regression model was constructed to evaluate the dependence of HCV viral load. RESULTS: HCV RNA levels did not change significantly from 2009 to 2012 (from 3924650?±?5320177 IU/ml to 3085128?±?3372347 IU/ml, p?=?0.13); the CD4+ count increased significantly (from a mean of 576 to a mean of 654, p?=?0.003). Using linear regression, a positive correlation was observed for HCV load and genotype 1 (p?=?0.002), nonresponder status (p?=?0.04) and with interleukin 28B CC allele (p?=?0.05). Other studied covariates failed to reach a significant correlation. CONCLUSIONS: The HCV RNA load, a known pretreatment predictor of response to antiviral therapy, was independent of the two main parameters of HIV disease, plasma HIV RNA and CD4 cell count, over an observation time of 3 years in patients with recovered or spontaneously maintained immunocompetence.

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Distribution pattern of HCV genotypes & its association with viral load.

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Distribution pattern of HCV genotypes & its association with viral load.

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