江河,唐凯玲,黄精华,李剑军,梁淑家,刘玄华,庞贤武,朱秋映,陈欢欢,周月姣,蓝光华.基于分子网络的广西壮族自治区HIV传播热点和跨地区传播特征分析[J].中华流行病学杂志,2022,43(9):1423-1429 |
基于分子网络的广西壮族自治区HIV传播热点和跨地区传播特征分析 |
Analysis of HIV transmission hotspots and characteristics of cross-regional transmission in Guangxi Zhuang Autonomous Region based on molecular network |
收稿日期:2022-04-24 出版日期:2022-09-09 |
DOI:10.3760/cma.j.cn112338-20220424-00339 |
中文关键词: 艾滋病病毒 分子网络 传播热点 跨地区传播 |
英文关键词: HIV Molecular network Transmission hotspot Cross-regional transmission |
基金项目:国家自然科学基金(82160636);国家科技重大专项(2018ZX10715-008);广西八桂学者艾滋病防控关键技术岗位专项 |
作者 | 单位 | E-mail | 江河 | 广西壮族自治区疾病预防控制中心, 广西艾滋病防控与成果转化研究重点实验室, 南宁 530028 | | 唐凯玲 | 广西壮族自治区疾病预防控制中心, 广西艾滋病防控与成果转化研究重点实验室, 南宁 530028 | | 黄精华 | 广西壮族自治区疾病预防控制中心, 广西艾滋病防控与成果转化研究重点实验室, 南宁 530028 | | 李剑军 | 广西壮族自治区疾病预防控制中心, 广西艾滋病防控与成果转化研究重点实验室, 南宁 530028 | | 梁淑家 | 广西壮族自治区疾病预防控制中心, 广西艾滋病防控与成果转化研究重点实验室, 南宁 530028 | | 刘玄华 | 广西壮族自治区疾病预防控制中心, 广西艾滋病防控与成果转化研究重点实验室, 南宁 530028 | | 庞贤武 | 广西壮族自治区疾病预防控制中心, 广西艾滋病防控与成果转化研究重点实验室, 南宁 530028 | | 朱秋映 | 广西壮族自治区疾病预防控制中心, 广西艾滋病防控与成果转化研究重点实验室, 南宁 530028 | | 陈欢欢 | 广西壮族自治区疾病预防控制中心, 广西艾滋病防控与成果转化研究重点实验室, 南宁 530028 | | 周月姣 | 广西壮族自治区疾病预防控制中心, 广西艾滋病防控与成果转化研究重点实验室, 南宁 530028 | | 蓝光华 | 广西壮族自治区疾病预防控制中心, 广西艾滋病防控与成果转化研究重点实验室, 南宁 530028 | lgh605@163.com |
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中文摘要: |
目的 基于分子网络分析广西壮族自治区(广西)HIV传播热点和跨地区传播特征,为优化艾滋病精准防控策略提供证据。方法 整合1997-2020年采集的5 996条广西HIV pol区序列和165 534条公开发表的非广西HIV pol区序列,使用HIV-TRACE工具以0.5%成对基因距离阈值构建分子网络。结果 进入广西HIV传播热点分子网络的序列比例为31.5%(1 886/5 996)。在HIV跨地区传播分子网络中,省内连接占51.6%(2 613/5 062),国内连接占48.0%(2 430/5 062),国际连接占0.4%(19/5 062)。与广西跨地区连接的主要地区为广东省(49.5%,1 212/2 449)、北京市(17.5%,430/2 449)、上海市(6.9%,168/2 449)、四川省(5.7%,140/2 449)、云南省(4.2%,102/2 449)、陕西省(3.8%,93/2 449)、浙江省(2.8%,69/2 449)、海南省(2.0%,49/2 449)、安徽省(1.5%,37/2 449)和江苏省(1.3%,33/2 449),其余地区与广西跨地区连接比例均<1.0%。进入广西HIV传播热点分子网络风险较高的影响因素包括≥50岁(相比于25~49岁,aOR=1.68,95%CI:1.46~1.95)、男性(相比于女性,aOR=1.21,95%CI:1.05~1.40)、未婚(相比于已婚,aOR=1.18,95%CI:1.00~1.39)、高中及以上文化程度(相比于初中及以下,aOR=1.21,95%CI:1.04~1.42)和男男性传播(相比于异性性传播,aOR=1.77,95%CI:1.48~2.12)。跨地区连接风险较高的影响因素包括男性(相比于女性:aOR=1.74,95%CI:1.13~2.75),高中及以上文化程度(相比于初中及以下,aOR=1.96,95%CI:1.43~2.69)、自由职业/待业/退休(相比于农民,aOR=1.50,95%CI:1.07~2.11)、男男性传播(相比于异性性传播,aOR=3.28,95%CI:2.30~4.72)。结论 广西存在HIV传播热点,广西与国内地区组成复杂的跨地区传播网络。后续研究应针对分子网络分析推断的高风险人群开展社会网络调查,及时识别隐匿传播链,减少HIV二代传播。 |
英文摘要: |
Objective To analyze HIV transmission hotspots and characteristics of cross-regional transmission in Guangxi Zhuang autonomous region (Guangxi) based on the molecular network analysis,and provide evidence for optimization of precise AIDS prevention and control strategies.Methods A total of 5 996 HIV pol sequences sampled from Guangxi between 1997 and 2020 were analyzed together with 165 534 published HIV pol sequences sampled from other regions.HIV-TRACE was used to construct molecular network in a pairwise genetic distance threshold of 0.5%.Results The proportion of HIV sequences entering the molecular network of HIV transmission hotspots in Guangxi was 31.5%(1 886/5 996).In the molecular network of HIV cross-regional transmission,the links within Guangxi accounted for 51.6%(2 613/5 062),the links between Guangxi and other provinces in China accounted for 48.0%(2 430/5 062),and the links between Guangxi and other countries accounted for 0.4%(19/5 062).The main regions which had cross-regional linked with Guangxi were Guangdong (49.5%,1 212/2 449),Beijing (17.5%,430/2 449),Shanghai (6.9%,168/2 449),Sichuan (5.7%,140/2 449),Yunnan (4.2%,102/2 449),Shaanxi (3.8%,93/2 449),Zhejiang (2.8%,69/2 449),Hainan (2.0%,49/2 449),Anhui (1.5%,37/2 449),Jiangsu (1.3%,33/2 449),and other regions (each one<1.0%),respectively.The risk factors of entering the molecular network of HIV transmission hotspots in Guangxi included being aged ≥ 50 years (compared with being aged 25-49 years,aOR=1.68,95%CI:1.46-1.95),males (compared with females,aOR=1.21,95%CI:1.05-1.40),being single (compared with being married,aOR=1.18,95%CI:1.00-1.39),having education level of high school or above (compared with having education level of junior high school or below,aOR=1.21,95%CI:1.04-1.42),acquired HIV through homosexual intercourse (compared with acquired with HIV through heterosexual intercourse,aOR=1.77,95%CI:1.48-2.12).The risk factors of cross-regional transmission included males (compared with females,aOR=1.74,95%CI:1.13-2.75),having education level of high school or above (compared with having education level of junior high school or below,aOR=1.96,95%CI:1.43-2.69),being freelancer/unemployed/retired (compared with being farmers,aOR=1.50,95%CI:1.07-2.11),acquired HIV through homosexual intercourse (compared with acquired with HIV through heterosexual intercourse,aOR=3.28,95%CI:2.30-4.72).Conclusion There are HIV transmission hotspots in Guangxi.Guangxi and other provinces in China form a complex cross-regional transmission network.Future studies should carry out social network surveys in high-risk populations inferred from the molecular network analysis for the timely identification of hidden transmission chains and reduction of the second-generation transmission of HIV. |
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