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Revista Pan-Amazônica de Saúde

versão impressa ISSN 2176-6215versão On-line ISSN 2176-6223

Resumo

BARBOSA, Kemere Marques Vieira et al. Hepatitis C in the 1980s: case review of former non-A and non-B hepatitis from a hepatology service in the Brazilian Amazon. Rev Pan-Amaz Saude [online]. 2019, vol.10, e201900096.  Epub 09-Dez-2019. ISSN 2176-6215.  http://dx.doi.org/10.5123/s2176-6223201900096.

OBJECTIVE:

To describe the frequency of Hepatitis C virus (HCV) infection in serum samples from patients diagnosed with "non-A and non-B" hepatitis attended at an Amazonian research institute between 1982 and 1988.

MATERIALS AND METHODS:

Descriptive, cross-sectional, and retrospective research including 396 serum samples preserved at -20 °C and tested for anti-HCV IgG antibodies by ELISA. The samples were from patients of both sexes, ranging from 1 month to 85 years old, from Belém and Ananindeua, Pará State, Brazil. For reactive anti-HCV samples, the presence of viral RNA was investigated, and sequencing and genotyping were conducted in those detected.

RESULTS:

Anti-HCV antibodies were detected in 10.9% (43/396) of the sera examined. HCV RNA was detected in 55.8% (24/43) of the reagent sera. For 33.3% (8/24) of these samples, it was possible to distinguish genotypes 1 (75.0%; 6/8) and 3 (25.0%; 2/8), with the confirmation of two subtypes (1b and 3a).

CONCLUSION:

Despite the limitations, due to the long storage time of the samples (three decades), it was possible to detect and characterize HCV in biobank sera, revealing the circulation of two genotypes and two viral subtypes at the time: genotype 1, detected in most genotyped samples and currently exhibiting greater drug resistance than other known genotypes; and genotype 3, less frequent in the study sample, associated with higher virulence. The analysis allowed the identification of HCV strains, favoring future studies to elucidate evolutionary aspects associated with the resistance and virulence of this pathogen.

Palavras-chave : Hepatitis C Virus; Molecular Diagnosis; Genotypic Profile; Epidemiology.

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