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Distribution of hepatitis c virus (hcv) genotypes in patients with chronic infection from Rondônia, Brazil

BACKGROUND: Hepatitis C virus (HCV) is an important human pathogen affecting around 3% of the human population. In Brazil, it is estimated that there are approximately 2 to 3 million HCV chronic carriers. There are few reports of HCV prevalence in Rondônia State (RO), but it was estimated in 9.7% fr...

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Autores principales: Vieira, Deusilene S, Alvarado-Mora, Mónica V, Botelho, Lívia, Carrilho, Flair J, Pinho, João RR, Salcedo, Juan M
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3082223/
https://www.ncbi.nlm.nih.gov/pubmed/21486472
http://dx.doi.org/10.1186/1743-422X-8-165
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author Vieira, Deusilene S
Alvarado-Mora, Mónica V
Botelho, Lívia
Carrilho, Flair J
Pinho, João RR
Salcedo, Juan M
author_facet Vieira, Deusilene S
Alvarado-Mora, Mónica V
Botelho, Lívia
Carrilho, Flair J
Pinho, João RR
Salcedo, Juan M
author_sort Vieira, Deusilene S
collection PubMed
description BACKGROUND: Hepatitis C virus (HCV) is an important human pathogen affecting around 3% of the human population. In Brazil, it is estimated that there are approximately 2 to 3 million HCV chronic carriers. There are few reports of HCV prevalence in Rondônia State (RO), but it was estimated in 9.7% from 1999 to 2005. The aim of this study was to characterize HCV genotypes in 58 chronic HCV infected patients from Porto Velho, Rondônia (RO), Brazil. METHODS: A fragment of 380 bp of NS5B region was amplified by nested PCR for genotyping analysis. Viral sequences were characterized by phylogenetic analysis using reference sequences obtained from the GenBank (n = 173). Sequences were aligned using Muscle software and edited in the SE-AL software. Phylogenetic analyses were conducted using Bayesian Markov chain Monte Carlo simulation (MCMC) to obtain the MCC tree using BEAST v.1.5.3. RESULTS: From 58 anti-HCV positive samples, 22 were positive to the NS5B fragment and successfully sequenced. Genotype 1b was the most prevalent in this population (50%), followed by 1a (27.2%), 2b (13.6%) and 3a (9.0%). CONCLUSIONS: This study is the first report of HCV genotypes from Rondônia State and subtype 1b was found to be the most prevalent. This subtype is mostly found among people who have a previous history of blood transfusion but more detailed studies with a larger number of patients are necessary to understand the HCV dynamics in the population of Rondônia State, Brazil.
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spelling pubmed-30822232011-04-27 Distribution of hepatitis c virus (hcv) genotypes in patients with chronic infection from Rondônia, Brazil Vieira, Deusilene S Alvarado-Mora, Mónica V Botelho, Lívia Carrilho, Flair J Pinho, João RR Salcedo, Juan M Virol J Research BACKGROUND: Hepatitis C virus (HCV) is an important human pathogen affecting around 3% of the human population. In Brazil, it is estimated that there are approximately 2 to 3 million HCV chronic carriers. There are few reports of HCV prevalence in Rondônia State (RO), but it was estimated in 9.7% from 1999 to 2005. The aim of this study was to characterize HCV genotypes in 58 chronic HCV infected patients from Porto Velho, Rondônia (RO), Brazil. METHODS: A fragment of 380 bp of NS5B region was amplified by nested PCR for genotyping analysis. Viral sequences were characterized by phylogenetic analysis using reference sequences obtained from the GenBank (n = 173). Sequences were aligned using Muscle software and edited in the SE-AL software. Phylogenetic analyses were conducted using Bayesian Markov chain Monte Carlo simulation (MCMC) to obtain the MCC tree using BEAST v.1.5.3. RESULTS: From 58 anti-HCV positive samples, 22 were positive to the NS5B fragment and successfully sequenced. Genotype 1b was the most prevalent in this population (50%), followed by 1a (27.2%), 2b (13.6%) and 3a (9.0%). CONCLUSIONS: This study is the first report of HCV genotypes from Rondônia State and subtype 1b was found to be the most prevalent. This subtype is mostly found among people who have a previous history of blood transfusion but more detailed studies with a larger number of patients are necessary to understand the HCV dynamics in the population of Rondônia State, Brazil. BioMed Central 2011-04-12 /pmc/articles/PMC3082223/ /pubmed/21486472 http://dx.doi.org/10.1186/1743-422X-8-165 Text en Copyright ©2011 Vieira et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Vieira, Deusilene S
Alvarado-Mora, Mónica V
Botelho, Lívia
Carrilho, Flair J
Pinho, João RR
Salcedo, Juan M
Distribution of hepatitis c virus (hcv) genotypes in patients with chronic infection from Rondônia, Brazil
title Distribution of hepatitis c virus (hcv) genotypes in patients with chronic infection from Rondônia, Brazil
title_full Distribution of hepatitis c virus (hcv) genotypes in patients with chronic infection from Rondônia, Brazil
title_fullStr Distribution of hepatitis c virus (hcv) genotypes in patients with chronic infection from Rondônia, Brazil
title_full_unstemmed Distribution of hepatitis c virus (hcv) genotypes in patients with chronic infection from Rondônia, Brazil
title_short Distribution of hepatitis c virus (hcv) genotypes in patients with chronic infection from Rondônia, Brazil
title_sort distribution of hepatitis c virus (hcv) genotypes in patients with chronic infection from rondônia, brazil
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3082223/
https://www.ncbi.nlm.nih.gov/pubmed/21486472
http://dx.doi.org/10.1186/1743-422X-8-165
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