INTRODUCTION: Epidemiological studies concerning HCV genotypic distribution in the Brazilian Amazon are scarce. Thus, this study determined the patterns of distribution of HCV genotypes among different exposure categories in the State of Pará, Brazilian Amazon. METHODS: A cross-sectional study was conducted on 312 HCV-infected individuals belonging to different categories of exposure, who were attended at the HEMOPA, CENPREN and a private hemodialysis clinic in Belém. They were tested for HCV antibodies using an immunoenzymatic test, RNA-HCV, using real-time PCR and HCV genotyping through phylogenetic analysis of the 5' UTR. The population groups were epidemiologically characterized according to data collected in a brief interview or medical consultation. RESULTS: Genotype 1 predominated in all the different categories of HCV exposure. HCV genotypic distribution among blood donors comprised genotypes 1 (94%) and 3 (6%). All patients with chronic hematologic diseases had HCV genotype 1. The genotypic distribution in illicit-drug users comprised genotypes 1 (59.6%) and 3 (40.4%). In patients under hemodialysis, genotypes 1 (90.1%), 2 (3.3%), and 3 (6.6%) were detected. Finally, the frequency of genotypes 1 and 3 was significantly different between the groups: BD and DU, PUH and DU, PUH and PCHD and PCHD and DU. CONCLUSIONS: The genotypic frequency and distribution of HCV in different categories of exposure in the State of Pará showed a predominance of genotype 1, regardless of the possible risk of infection.
INTRODUCTION: Epidemiological studies concerning HCV genotypic distribution in the Brazilian Amazon are scarce. Thus, this study determined the patterns of distribution of HCV genotypes among different exposure categories in the State of Pará, Brazilian Amazon. METHODS: A cross-sectional study was conducted on 312 HCV-infected individuals belonging to different categories of exposure, who were attended at the HEMOPA, CENPREN and a private hemodialysis clinic in Belém. They were tested for HCV antibodies using an immunoenzymatic test, RNA-HCV, using real-time PCR and HCV genotyping through phylogenetic analysis of the 5' UTR. The population groups were epidemiologically characterized according to data collected in a brief interview or medical consultation. RESULTS: Genotype 1 predominated in all the different categories of HCV exposure. HCV genotypic distribution among blood donors comprised genotypes 1 (94%) and 3 (6%). All patients with chronic hematologic diseases had HCV genotype 1. The genotypic distribution in illicit-drug users comprised genotypes 1 (59.6%) and 3 (40.4%). In patients under hemodialysis, genotypes 1 (90.1%), 2 (3.3%), and 3 (6.6%) were detected. Finally, the frequency of genotypes 1 and 3 was significantly different between the groups: BD and DU, PUH and DU, PUH and PCHD and PCHD and DU. CONCLUSIONS: The genotypic frequency and distribution of HCV in different categories of exposure in the State of Pará showed a predominance of genotype 1, regardless of the possible risk of infection.
Authors: Aldemir B Oliveira-Filho; Leila Sawada; Laine C Pinto; Daiane Locks; Santana L Bahia; Jairo A A Castro; Renata B Hermes; Igor Brasil-Costa; Carlos E M Amaral; José Alexandre R Lemos Journal: Virol J Date: 2014-02-25 Impact factor: 4.099
Authors: Rubenilson Caldas Valois; Luciana Maria Cunha Maradei-Pereira; José Ângelo Barletta Crescente; Aldemir Branco de Oliveira-Filho; José Alexandre Rodrigues Lemos Journal: Rev Inst Med Trop Sao Paulo Date: 2014 Nov-Dec Impact factor: 1.846
Authors: Aldemir B Oliveira-Filho; Diego Wendel F Aires; Natalia S Cavalcante; Nairis Costa Raiol; Brenda Luena A Lisboa; Paula Cristina R Frade; Luana M da Costa; Luiz Marcelo L Pinheiro; Luiz Fernando A Machado; Luisa C Martins; Gláucia C Silva-Oliveira; João Renato R Pinho; Emil Kupek; José Alexandre R Lemos Journal: Pathogens Date: 2019-11-14
Authors: Geison Luiz Costa de Castro; Ednelza da Graça Silva Amoras; Mauro Sérgio Moura de Araújo; Simone Regina Souza da Silva Conde; Antonio Carlos R Vallinoto Journal: Braz J Infect Dis Date: 2020-07-28 Impact factor: 3.257