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      Molecular Tracing of Hepatitis C Virus Genotype 1 Isolates in Iran: A NS5B Phylogenetic Analysis with Systematic Review

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          Abstract

          Context

          Hepatitis C virus (HCV) is characterized by a high degree of genetic heterogeneity and classified into 7 genotypes and different subtypes. It heterogeneously distributed through various risk groups and geographical regions. A well-established phylogenetic relationship can simplify the tracing of HCV hierarchical strata into geographical regions. The current study aimed to find genetic phylogeny of subtypes 1a and 1b of HCV isolates based on NS5B nucleotide sequences in Iran and other members of Eastern Mediterranean regional office of world health organization, as well as other Middle Eastern countries, with a systematic review of available published and unpublished studies.

          Evidence Acquisition

          The phylogenetic analyses were performed based on the nucleotide sequences of NS5B gene of HCV genotype 1 (HCV-1), which were registered in the GenBank database. The literature review was performed in two steps: 1) searching studies evaluating the NS5B sequences of HCV-1, on PubMed, Scopus, and Web of Science, and 2) Searching sequences of unpublished studies registered in the GenBank database.

          Results

          In this study, 442 sequences from HCV-1a and 232 from HCV-1b underwent phylogenetic analysis. Phylogenetic analysis of all sequences revealed different clusters in the phylogenetic trees. The results showed that the proportion of HCV-1a and -1b isolates from Iranian patients probably originated from domestic sources. Moreover, the HCV-1b isolates from Iranian patients may have similarities with the European ones.

          Conclusions

          In this study, phylogenetic reconstruction of HCV-1 sequences clearly indicated for molecular tracing and ancestral relationships of the HCV genotypes in Iran, and showed the likelihood of domestic origin for HCV-1a and various origin for HCV-1b.

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          Most cited references49

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          Global epidemiology of hepatitis C virus infection: new estimates of age-specific antibody to HCV seroprevalence.

          In efforts to inform public health decision makers, the Global Burden of Diseases, Injuries, and Risk Factors 2010 (GBD2010) Study aims to estimate the burden of disease using available parameters. This study was conducted to collect and analyze available prevalence data to be used for estimating the hepatitis C virus (HCV) burden of disease. In this systematic review, antibody to HCV (anti-HCV) seroprevalence data from 232 articles were pooled to estimate age-specific seroprevalence curves in 1990 and 2005, and to produce age-standardized prevalence estimates for each of 21 GBD regions using a model-based meta-analysis. This review finds that globally the prevalence and number of people with anti-HCV has increased from 2.3% (95% uncertainty interval [UI]: 2.1%-2.5%) to 2.8% (95% UI: 2.6%-3.1%) and >122 million to >185 million between 1990 and 2005. Central and East Asia and North Africa/Middle East are estimated to have high prevalence (>3.5%); South and Southeast Asia, sub-Saharan Africa, Andean, Central, and Southern Latin America, Caribbean, Oceania, Australasia, and Central, Eastern, and Western Europe have moderate prevalence (1.5%-3.5%); whereas Asia Pacific, Tropical Latin America, and North America have low prevalence (<1.5%). The high prevalence of global HCV infection necessitates renewed efforts in primary prevention, including vaccine development, as well as new approaches to secondary and tertiary prevention to reduce the burden of chronic liver disease and to improve survival for those who already have evidence of liver disease. Copyright © 2012 American Association for the Study of Liver Diseases.
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            Bayes or bootstrap? A simulation study comparing the performance of Bayesian Markov chain Monte Carlo sampling and bootstrapping in assessing phylogenetic confidence.

            Bayesian Markov chain Monte Carlo sampling has become increasingly popular in phylogenetics as a method for both estimating the maximum likelihood topology and for assessing nodal confidence. Despite the growing use of posterior probabilities, the relationship between the Bayesian measure of confidence and the most commonly used confidence measure in phylogenetics, the nonparametric bootstrap proportion, is poorly understood. We used computer simulation to investigate the behavior of three phylogenetic confidence methods: Bayesian posterior probabilities calculated via Markov chain Monte Carlo sampling (BMCMC-PP), maximum likelihood bootstrap proportion (ML-BP), and maximum parsimony bootstrap proportion (MP-BP). We simulated the evolution of DNA sequence on 17-taxon topologies under 18 evolutionary scenarios and examined the performance of these methods in assigning confidence to correct monophyletic and incorrect monophyletic groups, and we examined the effects of increasing character number on support value. BMCMC-PP and ML-BP were often strongly correlated with one another but could provide substantially different estimates of support on short internodes. In contrast, BMCMC-PP correlated poorly with MP-BP across most of the simulation conditions that we examined. For a given threshold value, more correct monophyletic groups were supported by BMCMC-PP than by either ML-BP or MP-BP. When threshold values were chosen that fixed the rate of accepting incorrect monophyletic relationship as true at 5%, all three methods recovered most of the correct relationships on the simulated topologies, although BMCMC-PP and ML-BP performed better than MP-BP. BMCMC-PP was usually a less biased predictor of phylogenetic accuracy than either bootstrapping method. BMCMC-PP provided high support values for correct topological bipartitions with fewer characters than was needed for nonparametric bootstrap.
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              Frequency distribution of hepatitis C virus genotypes in different geographical regions of Pakistan and their possible routes of transmission

              Background Information regarding hepatitis C virus genotypes and subtypes circulating in Pakistan and various risk factors for their transmission are not known well. The specific objective of this study was to find out the frequency of various HCV genotypes present in well-characterized Pakistani HCV isolates and their possible routes of transmission. Methods A total of 3351 serum samples were tested by type-specific genotyping assay. Out of 3351 HCV RNA positive patients, 2039 were males and 1312 were females. As regard as genotyped samples, 2165 belonged to Punjab region, 823 belonged to N.W.F.P., 239 to Sindh and 124 patients were from Balochistan. Results Out of the total 3351 tested serum samples, type-specific PCR fragments were observed in 3150 (94.00%) serum samples. The distribution of genotypes of the typeable samples as determined by this assay, was as follows: 1664 (49.05%) genotype 3a; 592 (17.66%) genotype 3b; 280 (8.35%) genotype 1a; 252 (7.52%) genotype 2a; 101 (3.01%) genotype 1b; 50 (1.49%) with genotype 4; 25 (0.75%) with 3c; 27 (0.80%) genotype 2b; 6 (0.18%) with subtype 5a; 5 (0.15%) genotype 1c; 4 (0.12%) with subtype 6a; 3 (0.09%) genotype 2c; and 161 (4.80%) patients were infected with mixed infection. Two hundred and one (5.99%) serum samples were found untypeable by the present genotyping system. More than 86% and 72% patients with genotypes 3a and 3b respectively had received multiple injections in past. For genotypes 1a and 1b the route of transmission was major/minor surgery along with unknown reasons. Majority of the cases with type 2a, 2b and indeterminate genotypes were sporadic. Mixed infections were common in thalassaemic patients. Conclusion The most common HCV genotype in Pakistan is type 3a. Regional difference in genotypes was observed only in Balochistan province of Pakistan. More than 70% of the cases were acquired in hospitals through reuse of needles/syringes and major/minor surgery that is very common in this country.
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                Author and article information

                Journal
                Hepat Mon
                Hepat Mon
                10.5812/hepatmon
                Kowsar
                Hepatitis Monthly
                Kowsar
                1735-143X
                1735-3408
                19 November 2016
                December 2016
                : 16
                : 12
                : e42938
                Affiliations
                [1 ]Baqiyatallah Research Center for Gastroenterology and Liver Diseases (BRCGL), Baqiyatallah University of Medical Sciences, Tehran, IR Iran
                [2 ]Middle East Liver Diseases (MELD) Center, Tehran, IR Iran
                [3 ]Department of Medical Nanotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, IR Iran
                Author notes
                [* ]Corresponding Author: Heidar Sharafi, Baqiyatallah Research Center for Gastroenterology and Liver Diseases (BRCGL), Baqiyatallah University of Medical Sciences, Tehran, IR Iran. Tel: +98-21 8894 5186, Fax: +98-2188945188, E-mail: h.sharafi@ 123456meldcenter.com
                Article
                10.5812/hepatmon.42938
                5237473
                da54a78f-fca0-4733-9ccb-736f27dda2f0
                Copyright © 2016, Kowsar Corp

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License ( http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.

                History
                : 10 October 2016
                : 13 November 2016
                Categories
                Review Article

                Infectious disease & Microbiology
                hepatitis c,ns5b,sequence analysis, phylogeny,iran,middle east
                Infectious disease & Microbiology
                hepatitis c, ns5b, sequence analysis, phylogeny, iran, middle east

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