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常规聚合酶链反应测序确定的序列模糊度是实时监测 HIV 发病率趋势的可靠工具。

Sequence ambiguity determined from routine pol sequencing is a reliable tool for real-time surveillance of HIV incidence trends.

机构信息

Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška 4, Ljubljana 1105, Slovenia.

Dr. Fran Mihaljevič University Hospital for Infectious Diseases, Mirogojska 8, Zagreb 10000, Croatia.

出版信息

Infect Genet Evol. 2019 Apr;69:146-152. doi: 10.1016/j.meegid.2019.01.015. Epub 2019 Jan 22.

Abstract

Identifying individuals recently infected with HIV has been of great significance for close monitoring of HIV epidemic dynamics. Low HIV sequence ambiguity (SA) has been described as a promising marker of recent infection in previous studies. This study explores the utility of SA defined as a proportion of ambiguous nucleotides detected in baseline pol sequences as a tool for routine real-time surveillance of HIV incidence trends at a national level. A total of 353 partial HIV-1 pol sequences obtained from persons diagnosed with HIV infection in Slovenia from 2000 to 2012 were studied, and SA was reported as a percentage of ambiguous base calls. Patients were characterized as recently infected by examining anti-HIV serological patterns and/or using commercial HIV-1 incidence assays (BED and/or LAg-Avidity assay). A mean SA of 0.29%, 0.14%, and 0.19% was observed for infections classified as recent by BED, LAg, or anti-HIV serological results, respectively. Welch's t-test showed a significant difference in the SA of recent versus long-standing infections (p < 0.001). CD4+ T-cell counts ≤250 cells/mm significantly correlated with higher SA (p < 0.001), whereas the homo/bisexual transmission route significantly correlated with lower SA (p = 0.005). When the LAg-assay was used as an indicator of recent infection, a receiver operating characteristic curve with the largest area under the curve (0.896) was observed for SA (sensitivity and specificity of 79%), indicating the best correlation of the data. A reliable estimation of the trends of HIV incident infection could be inferred from measuring SA irrespective of the cutoff used; however, in Slovenia it seems that lower cutoffs are more appropriate. Our data suggest that SA could be used as a real-time surveillance tool for close monitoring of HIV incidence trends, especially in countries where baseline HIV resistance genotyping is performed routinely, rendering this approach cost-effective.

摘要

确定最近感染 HIV 的个体对于密切监测 HIV 流行动态具有重要意义。在先前的研究中,低 HIV 序列模糊度 (SA) 已被描述为近期感染的一个有前途的标志物。本研究探讨了将基线 pol 序列中检测到的模糊核苷酸比例定义为 SA 作为工具,用于在全国范围内常规实时监测 HIV 发病率趋势的效用。本研究共研究了 353 例从 2000 年至 2012 年在斯洛文尼亚诊断为 HIV 感染的个体中获得的部分 HIV-1 pol 序列,并报告了 SA 占模糊碱基调用的百分比。通过检查抗 HIV 血清学模式和/或使用商业 HIV-1 发病率检测(BED 和/或 LAg-亲和力检测),将患者定义为近期感染。BED、LAg 或抗 HIV 血清学结果分类为近期感染的感染,分别观察到 SA 为 0.29%、0.14%和 0.19%。Welch t 检验显示近期与长期感染的 SA 存在显著差异(p<0.001)。CD4+T 细胞计数≤250 个/毫米显著与更高的 SA 相关(p<0.001),而同性/双性传播途径与更低的 SA 显著相关(p=0.005)。当 LAg 检测用作近期感染的指标时,SA 观察到最大曲线下面积的受试者工作特征曲线(0.896)(敏感性和特异性为 79%),表明数据相关性最佳。无论使用的截止值如何,通过测量 SA 都可以可靠地推断 HIV 新发感染趋势;然而,在斯洛文尼亚,似乎使用较低的截止值更合适。我们的数据表明,SA 可作为实时监测工具,密切监测 HIV 发病率趋势,特别是在常规进行基线 HIV 耐药基因分型的国家,这一方法具有成本效益。

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