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目的阐明安徽省艾滋病监测人群的HCV基因型分布特征,为分析HCV传播和流行特征提供科学依据。方法对安徽省艾滋病重点监测人群采血并进行HCV抗体初筛,阳性者使用巢式RT-PCR法对NS5B区和C/E2区进行扩增提取核酸,利用核酸测序、序列拼接和构建系统进化树对HCV基因进行分型。采用检验或确切概率法对重点监测人群来源、性别、年龄及感染途径进行基因型分布比较。结果不同来源的监测人群平均年龄为(35.4±9.46)岁,年龄差异不具有统计学意义(F=1.012,P>0.05);吸毒人群中HCV基因型主要为3b(39.47%)和3a型(21.71%),且出现三种混合型1b/3b、2a/3b和3a/3b型;暗娼人群中主要为1b(56.52%)和6a型(21.74%);男男性行为人群中主要基因型为1b型、2a和6a亚型;一般人群基因型主要为1b和2a型;不同感染途径的HCV患者其HCV基因型分布有所不同,差异有统计学意义(F=98.046,P<0.01)。结论安徽省重点艾滋病监测人群中HCV患者的HCV基因型共有8种亚型及3种混合型,基因型1a、3型和6型的首次发现提示了HVC病毒基因型的不断重组或变异,不同感染途径人群HCV基因型分布差异表明HCV病毒亚型在不同高危人群间有聚集特征。
Objective To clarify the distribution of HCV genotypes in HIV-infected population in Anhui Province and provide a scientific basis for the analysis of HCV transmission and epidemic characteristics. Methods Blood samples were collected from HIV-positive AIDS patients in Anhui Province and HCV antibodies were screened. The positive samples were amplified by Nested RT-PCR to amplify NS5B and C / E2 regions. Nucleic acid sequencing, sequence splicing and phylogenetic tree HCV genotyping. The genotype distributions of the key monitoring population sources, sex, age and route of infection were compared by test or exact probability method. Results The average age of the surveillance population from different sources was (35.4 ± 9.46) years old with no significant difference in age (F = 1.012, P> 0.05). HCV genotypes were mainly 3b (39.47%) and 3a 21.71%), and there were three mixed type 1b / 3b, 2a / 3b and 3a / 3b. Among the female sex workers, 1b (56.52%) and 6a (21.74%) were the major groups; 1b, 2a and 6a subtypes. Genotypes 1b and 2a were common in the general population. The distribution of HCV genotypes was different in HCV infected with different routes of infection (F = 98.046, P <0.01). CONCLUSION: HCV genotypes of HCV patients in key AIDS-affected population in Anhui Province have 8 subtypes and 3 mixed types. The first findings of genotypes 1a, 3 and 6 suggest constant recombination or variation of HVC virus genotypes. Differences in the distribution of HCV genotypes in infected populations suggest that HCV subtypes have aggregated features at different high-risk populations.