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通过自动化检测法检测的抗丙型肝炎病毒定量信号可预测丙型肝炎病毒感染高流行人群中的病毒血症。

Quantitative signal of anti-HCV by an automated assay predicts viremia in a population at high prevalence of hepatitis C virus infection.

作者信息

Bossi Vincenzo, Galli Claudio

机构信息

Virology, Ospedale Amedeo di Savoia, corso Svizzera 164, 10100 Turin, Italy.

出版信息

J Clin Virol. 2004 May;30(1):45-9. doi: 10.1016/j.jcv.2003.08.007.

DOI:10.1016/j.jcv.2003.08.007
PMID:15072753
Abstract

BACKGROUND AND AIMS

The diagnosis of ongoing hepatitis C virus (HCV) infection involves the detection of specific antibodies and of HCV-RNA. We aimed to assess the relationship between these two parameters in a representative sample of a population at high risk for HCV infection.

METHODS

Plasma and serum samples were respectively tested for HCV-RNA by a qualitative PCR (Cobas Amplicor HCV, Roche) and for HCV antibodies by a MEIA screening assay (AxSYM HCV 3.0, Abbott) and an immunoblot (Inno-LIA-III, Innogenetics).

RESULTS AND CONCLUSIONS

Out of 888 samples assayed, 579 (65.2%) were positive for HCV-RNA, while anti-HCV antibodies were detected respectively in 802 sera by AxSYM (90.3%) and in 783 by LIA (706 positive and 77 indeterminate, 88.2%). The anti-core antibodies displayed the best correlation with viremia, since they were present in 97.1% of the PCR+ samples, followed by anti-NS3 (90.2%) and anti-NS4 (89.6%). Only one HCV-RNA positive sample was negative by LIA and MEIA (early seroconversion). The AxSYM sample/cutoff (S/CO) values were directly correlated with the presence of HCV-RNA: a PCR positivity was found in 4.9% of samples with a S/CO < or =10, in 60.8% of samples with a S/CO between 11 and 50 and in 93.6% of cases with a S/CO >50, (P < 0.005). The immunoblot adds little, on a single specimen, to the information yielded by the AxSYM screening test. A suitable diagnostic algorithm for HCV in high-risk settings could be the anti-HCV screening by MEIA and a qualitative assay for HCV-RNA on samples with low reactivity.

摘要

背景与目的

持续性丙型肝炎病毒(HCV)感染的诊断涉及特定抗体及HCV-RNA的检测。我们旨在评估在HCV感染高危人群的代表性样本中这两个参数之间的关系。

方法

分别采用定性聚合酶链反应(Cobas Amplicor HCV,罗氏公司)检测血浆和血清样本中的HCV-RNA,采用微粒子酶免疫分析筛查法(AxSYM HCV 3.0,雅培公司)及免疫印迹法(Inno-LIA-III,Innogenetics公司)检测HCV抗体。

结果与结论

在检测的888份样本中,579份(65.2%)HCV-RNA呈阳性,而AxSYM法在802份血清中检测到抗-HCV抗体(90.3%),LIA法在783份血清中检测到抗-HCV抗体(706份阳性,77份不确定,88.2%)。抗核心抗体与病毒血症的相关性最佳,因为在97.1%的PCR阳性样本中存在该抗体,其次是抗NS3(90.2%)和抗NS4(89.6%)。仅1份HCV-RNA阳性样本经LIA和微粒子酶免疫分析呈阴性(早期血清转化)。AxSYM样本/临界值(S/CO)值与HCV-RNA的存在直接相关:S/CO≤10的样本中4.9%呈PCR阳性,S/CO在11至50之间的样本中60.8%呈PCR阳性,S/CO>50的样本中93.6%呈PCR阳性(P<0.005)。就单个样本而言,免疫印迹法所提供的信息相比AxSYM筛查试验增加甚少。在高危环境中,一种合适的HCV诊断算法可能是采用微粒子酶免疫分析进行抗-HCV筛查,并对反应性低的样本进行HCV-RNA定性检测。

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