Zeng W T, Han Z G, Wu H, Li Q M, Liang C Y, Xu L Q, Zhao X H
School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510310, China.
Department of HIV/AIDS Control and Prevention, Guangzhou Municipal Center for Disease Control and Prevention, Guangzhou, 510440, China.
Zhonghua Liu Xing Bing Xue Za Zhi. 2021 Jul 10;42(7):1260-1265. doi: 10.3760/cma.j.cn112338-20201209-01393.
To understand the characteristics of the HIV-1 molecular networks in injected drug users (IDUs) in Guangzhou from 2008 to 2017, and provide reference for the prevention and control of AIDS in this population. The serum samples of newly diagnosed HIV-1 positive IDUs in Guangzhou from 2008 to 2017 were collected, HIV-1 RNA was extracted for gene amplification and sequencing. The molecular cluster in the phylogenetic tree was identified by Cluster Picker 1.2.3 for cluster analysis. TN93 model in HyPhy2.2.4 was used to calculate the gene distance between the cluster sequences. Software Cytoscape3.8.2 was used to visualize the molecular network, and test or exact probability method was used for cluster analysis and centrality analysis. A total of 586 sequences were successfully amplified (73.9%, 586/793), and 80 molecular clusters were produced, with a clustering rate of 46.6% (273/586). In molecular clusters, the proportions of the strains from IDUs in Han ethnic group (48.4%, 260/537), IDUs who were local residents in Guangdong (52.7%, 146/277) and IDUs whose strain sequence subtype was CRF55_01B (93.3%, 14/15) were higher. In the molecular network, the degree range was 1-7, and nodes with degree ≥3 accounted for 12.8% (24/187), which was associated with another 81 nodes in the molecular network (43.3%, 81/187). The centrality analysis showed that the proportions of housework/unemployed with high degree centrality (19.0%, 19/100), high intermediary (22.0%, 22/100), and high proximity centrality (32.0%, 32/100) were higher in IDUs infected with HIV-1. The risk of HIV-1 clustering in IDUs in Guangzhou was high, suggesting that IDUs who were from both Guangdong and Guangxi and were house workers or unemployed should be viewed as the key targets, and precise intervention should be implemented to reduce the HIV-1 infection rate in this population.
了解2008年至2017年广州注射吸毒人群（IDU）中HIV-1分子网络特征，为该人群艾滋病防控提供参考。收集2008年至2017年广州新诊断HIV-1阳性IDU的血清样本，提取HIV-1 RNA进行基因扩增和测序。利用Cluster Picker 1.2.3对系统发育树中的分子簇进行识别以进行聚类分析。采用HyPhy2.2.4中的TN93模型计算簇序列间的基因距离。使用软件Cytoscape3.8.2可视化分子网络，并采用检验或精确概率法进行聚类分析和中心性分析。共成功扩增586条序列（73.9%，586/793），产生80个分子簇，聚类率为46.6%（273/586）。在分子簇中，汉族IDU（48.4%，260/537）、广东本地居民IDU（52.7%，146/277）以及毒株序列亚型为CRF55_01B的IDU（93.3%，14/15）所占比例较高。在分子网络中，度范围为1至7，度≥3的节点占12.8%（24/187），与分子网络中的另外81个节点相关（43.3%，81/187）。中心性分析显示，HIV-1感染的IDU中家务/无业且具有高度中心性（19.0%，19/100）、高中介性（22.0%，22/100）和高接近中心性（32.0%，32/100）的比例较高。广州IDU中HIV-1聚类风险较高，提示来自广东和广西且为家务劳动者或无业的IDU应作为重点对象，实施精准干预以降低该人群的HIV-1感染率。
