The genotype of 69 HCV positive patients was determined. An in-house standardized nested-PCR was used to detect HCV RNA. Genotype assignment was based on type-specific motifs on the sequenced amplicons delimited by primers HC11/HC18 from the 5' untranslated region. Results: Of the 69 patients studied, 65.2% were male and 34.8% were female. Genotype 1 showed the greatest prevalence, followed by 3 and 2. Conclusions: These data suggesting that Manaus is the point of arrival of HCV in the State of Amazonas.
In this study, 395 volunteers were enrolled to investigate the seroprevalence of hepatitis C virus, the immunological and the alanine aminotransferase (ALT) biomarkers amongst hemodialysis patients, living in Manaus, Brazil. An overall seroprevalence of 13.9% was found in the hemodialysis patients. Analysis of seroconversion patterns demonstrated that most patients with HCV seroconverted up to 10 years following the first hemodialysis session. Anti-NS5 antibody was detectable in 60.4% of patients with HCV. A lower percentage of circulating CD3(+) and CD4(+) T-cells was found in patients seronegative for HCV, whereas a higher frequency of CD8(+) T-cells was the hallmark of patients with HCV. An overall low activation state of monocytes and eosinophils were observed in hemodialysis patients. In contrast, a higher frequency of activated neutrophils was observed in patients with HCV, selectively in the NS5+ subgroup. All hemodialysis patients had a higher percentage of activated lymphocytes, with the higher activation state in patients with NS5- reactivity. Higher ALT levels were observed in patients with HCV, especially in the NS5+ subgroup. Interestingly, the ALT levels were correlated negatively with the lymphocyte activation state, selectively in the NS5- subgroup, suggesting a protective role of these activated lymphocytes in patients with HCV. These findings reinforce the importance of the transmission of HCV among hemodialysis patients, suggesting that apart from the HCV screening, the serological and ALT biomarkers may represent important predictors of morbidity and/or mortality among patients undergoing hemodialysis.
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