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2023年湖南省新报告HIV感染者跨地区传播特征与影响因素分析
Cross-regional transmission characteristics and influencing factors among newly HIV-infected individuals in the Hunan Province in 2023
【摘要】 目的 通过构建湖南省HIV-1毒株pol基因区序列的分子网络,分析毒株在湖南省的跨地区传播特征,为HIV精准防控提供数据支持。方法 采集湖南省2023年新报告539例HIV感染者血样,采用巢式PCR扩增pol区基因,利用系统进化树与在线工具鉴定亚型,HIV-TRACE构建分子传播网络,对跨地区连接影响因素进行单因素与多因素Logistic回归分析。结果 共采集样本539份,获得有效序列490条。在1.5%基因距离阈值下,形成66个传播簇和179条边,入网率40.61%(199/490)。跨市分子簇21个,跨市传播节点占36.68%(73/199),跨市连接占30.17%(54/179)。最大的跨市传播簇为CRF07_BC亚型,共涉及10个市州,簇中63.89%(23/36)为MSM。以长沙为中心形成的跨地区连接边最多。多因素分析显示30岁以下(OR=3.508,95%CI:1.007~12.220),受教育程度为高中及以上(OR=3.056,95%CI:1.019~9.163)者跨地区连接风险较高。结论 同性性行为感染者是湖南省HIV毒株发生跨市传播的主要人群,青年和受教育程度较高的HIV感染者发生跨市传播的风险高于其他人群。
【Abstract】 Objective This study aimed to analyze the cross-regional transmission characteristics of HIV-1 strains in the Hunan Province by constructing a molecular network based on pol gene sequences to provide valuable data for the effective prevention and control of HIV. Methods Blood samples were collected from 539 newly HIV-infected individuals in the Hunan Province in 2023. Nested polymerase chain reaction was used to amplify pol, and phylogenetic trees and online tools were used to identify the subtypes. HIV-transmission cluster engine software was used to construct a molecular transmission network, and univariate and multivariate logistic regression analyses were conducted to determine the factors affecting cross-regional transmission. Results In total, 539 blood samples were collected, yielding 490 valid sequences. At 1.5% genetic distance threshold, 66 molecular networks and 179 edges were formed, with a network entry rate of 40.61%(199/490). There were 21 cross-regional molecular clusters, with 36.68%(73/199) of nodes indicating intercity transmission and 30.17%(54/179) indicating cross-regional connections. The largest cross-regional transmission cluster, involving 10 municipalities, belonged to the CRF07_BC subtype, with 63.89%(23/36) of infections observed in men who have sex with men. Connections centered around Changsha constituted the major interregional edges.Multivariate analysis indicated that factors associated with high cross-regional connection risks included being under 30years of age(OR: 3.508;95% CI: 1.007-12.220) and having a high school education or above(OR: 3.056;95% CI: 1.019- 9.163). Conclusions Individuals engaging in homosexual behavior were the main population responsible for the cross-regional transmission of HIV strains in the Hunan Province. Among the HIV-infected individuals, young individuals and those with high level of education exhibited a higher risk of crossregional transmission than the other populations.
【Key words】 HIV; cross-regional transmission; molecular network; pol gene;
- 【文献出处】 中国艾滋病性病 ,Chinese Journal of AIDS & STD , 编辑部邮箱 ,2025年03期
- 【分类号】R181.3;R512.91
- 【下载频次】104