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Braz. j. med. biol. res ; 40(4): 545-550, Apr. 2007. tab, ilus
Article in English | LILACS | ID: lil-445655

ABSTRACT

The present study examined the distribution of hepatitis C virus (HCV) genotypes and subtypes in a hemodialysis population in Goiás State, Central Brazil, and evaluated the efficiency of two genotyping methods: line probe assay (LiPA) based on the 5' noncoding region and nucleotide sequencing of the nonstructural 5B (NS5B) region of the genome. A total of 1095 sera were tested for HCV RNA by RT-nested PCR of the 5' noncoding region. The LiPA assay was able to genotype all 131 HCV RNA-positive samples. Genotypes 1 (92.4 percent) and 3 (7.6 percent) were found. Subtype 1a (65.7 percent) was the most prevalent, followed by subtypes 1b (26.7 percent) and 3a (7.6 percent). Direct nucleotide sequencing of 340 bp from the NS5B region was performed in 106 samples. The phylogenetic tree showed that 98 sequences (92.4 percent) were classified as genotype 1, subtypes 1a (72.6 percent) and 1b (19.8 percent), and 8 sequences (7.6 percent) as subtype 3a. The two genotyping methods gave concordant results within HCV genotypes and subtypes in 100 and 96.2 percent of cases, respectively. Only four samples presented discrepant results, with LiPA not distinguishing subtypes 1a and 1b. Therefore, HCV genotype 1 (subtype 1a) is predominant in hemodialysis patients in Central Brazil. By using sequence analysis of the NS5B region as a reference standard method for HCV genotyping, we found that LiPA was efficient at the genotype level, although some discrepant results were observed at the subtype level (sensitivity of 96.1 percent for subtype 1a and 95.2 percent for subtype 1b). Thus, analysis of the NS5B region permitted better discrimination between HCV subtypes, as required in epidemiological investigations.


Subject(s)
Humans , /genetics , Hepacivirus/classification , Hepatitis C/virology , Sequence Analysis, DNA/methods , Viral Nonstructural Proteins/genetics , Base Sequence , DNA, Viral/analysis , Genotype , Hepacivirus/genetics , Hepatitis C/diagnosis , Molecular Sequence Data , Polymerase Chain Reaction/methods , Renal Dialysis
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