| 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].Chinese journal of Epidemiology,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 |
| Received:April 24, 2022 |
| DOI：10.3760/cma.j.cn112338-20220424-00339 |
| KeyWord: 艾滋病病毒 分子网络 传播热点 跨地区传播 |
| English Key Word: HIV Molecular network Transmission hotspot Cross-regional transmission |
| FundProject: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 |
| Author Name | Affiliation | E-mail | | Jiang He | Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530028, China | | | Tang Kailing | Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530028, China | | | Huang Jinghua | Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530028, China | | | Li Jianjun | Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530028, China | | | Liang Shujia | Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530028, China | | | Liu Xuanhua | Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530028, China | | | Pang Xianwu | Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530028, China | | | Zhu Qiuying | Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530028, China | | | Chen Huanhuan | Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530028, China | | | Zhou Yuejiao | Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530028, China | | | Lan Guanghua | Guangxi Key Laboratory of AIDS Prevention and Control and Achievement Transformation, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530028, China | lgh605@163.com |
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| Abstract: |
| 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。 |
| English Abstract: |
| 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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