Division of Viral Hepatitis, Centers for Disease Control and Prevention, 1600 Clifton Rd. NE, MS A-33, Atlanta, GA 30333, USA.
J Clin Microbiol. 2011 Jan;49(1):54-7. doi: 10.1128/JCM.01064-10. Epub 2010 Nov 17.
Currently available serological assays for detection of antibodies to hepatitis C virus (HCV) cannot reliably discriminate acute from chronic HCV infection. We developed a multiplexed, flow-cytometric microsphere immunoassay to measure anti-HCV-IgG reactivities to the core, NS3, NS4, and NS5 HCV recombinant proteins and applied it to 99 serum samples from 24 anti-HCV seroconverters and 141 anti-HCV-IgG and HCV RNA-positive plasma specimens from chronically infected people. Differences in the geometric means or means of signal/cutoff ratios between the two sample sets were statistically significant for all the antigens tested. A multivariate logistic regression model correctly classified the samples in two groups, with a cross-validation accuracy of 90.8% for the acute group and 97.2% for the chronic group. The immunoassay described has the potential to distinguish acute from chronic HCV infection.
目前用于检测丙型肝炎病毒 (HCV) 抗体的血清学检测方法无法可靠地区分急性和慢性 HCV 感染。我们开发了一种多重流式细胞术微球免疫分析方法,用于测量针对 HCV 核心、NS3、NS4 和 NS5 重组蛋白的抗-HCV-IgG 反应性,并将其应用于 99 份来自 24 名抗-HCV 血清转换者和 141 份来自慢性感染患者的抗-HCV-IgG 和 HCV RNA 阳性血浆标本。对于所有检测的抗原,两组之间的几何均数或信号/临界比值的平均值差异均具有统计学意义。多元逻辑回归模型正确地区分了两组样本,急性组的交叉验证准确率为 90.8%,慢性组的准确率为 97.2%。所描述的免疫分析方法有可能区分急性和慢性 HCV 感染。