| 曾文婷,韩志刚,吴昊,黎庆梅,梁彩云,徐理倩,赵新华.广州市2008-2017年注射吸毒人群HIV-1分子网络特征分析[J].中华流行病学杂志,2021,42(7):1260-1265 |
| 广州市2008-2017年注射吸毒人群HIV-1分子网络特征分析 |
| Analysis on characteristics of HIV-1 molecular network in injected drug users in Guangzhou, 2008-2017 |
| 收稿日期:2020-12-09 出版日期:2021-07-29 |
| DOI：10.3760/cma.j.cn112338-20201209-01393 |
| 中文关键词: 艾滋病病毒 注射吸毒人群 分子网络 成簇分析 中心性分析 |
| 英文关键词: HIV Injected drug user Molecular network Cluster analysis Centrality analysis |
| 基金项目:广州市科技计划（201707010184，201704020219，201607010008）；广州市卫生健康科技（20201A011068）；广东省科技计划（2017A020224029） |
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| 中文摘要: |
| 目的 分析2008-2017年广州市注射吸毒人群HIV-1分子网络的分布特征，为该人群艾滋病防控提供参考依据。方法 选取2008-2017年广州市新确证的注射吸毒HIV-1感染者血清样本，进行pol区基因扩增及测序后，利用Cluster Picker 1.2.3软件识别系统进化树中的分子簇，使用HyPhy 2.2.4中TN93模型计算成簇序列间的基因距离，通过可视化软件Cytoscape 3.8.2构建分子网络，采用χ2检验或确切概率法进行成簇分析和中心性分析。结果 成功扩增获得pol区基因片段586条（73.9%，586/793），共产生80个分子簇，成簇率为46.6%（273/586）。成簇样本与未成簇样本比较，汉族（48.4%，260/537）、广东籍（52.7%，146/277）和CRF55_01B（93.3%，14/15）的成簇比例更高。分子网络度值范围为1~7，度值≥ 3的节点占12.8%（24/187），其与网络中另外81个节点相关联（43.3%，81/187）。中心性分析结果显示，HIV-1感染者职业为家务/待业者在高程度中心性（19.0%，19/100）、高中介中心性（22.0%，22/100）和高亲近中心性（32.0%，32/100）的比例更高。结论 广州市注射吸毒人群HIV-1分子成簇风险较高，应将具有本地及广西籍、家务/待业特征的注射吸毒人群作为重点干预目标，并实施精准干预，降低该人群HIV-1感染率。 |
| 英文摘要: |
| Objective 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. Methods The serum samples of newly diagnosed HIV-1 positive IDUs in Guangzhou from 2008 to 2017 were collected, HIV-1 RNA was extracted for pol 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 χ2 test or exact probability method was used for cluster analysis and centrality analysis. Results 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. Conclusion 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. |
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