【摘要】 目的 通过构建我国HIV-1的CRF07＿BC毒株pol基因区序列的分子网络，分析CRF07＿BC毒株在我国的跨地区传播特征，为促进我国HIV精准防控提供数据支持。方法 使用FastTree与中国艾滋病病毒基因序列数据平台（https：//nmdc.cn/hiv/）的亚型判别工具进行亚型判别，筛选出我国CRF07＿BC毒株的pol基因序列构建分子网络，使用单因素与多因素Logistic回归分析入网率与跨地区连接影响因素，计算跨地区聚类系数等分子网络分析指标描述不同省份之间的传播连接和强度特征。结果 共收集到我国HIV-1毒株pol基因区序列81 612条，其中CRF07＿BC毒株26 181条序列，在0.5%基因距离阈值下构建分子网络，形成2 028个分子网络，最大的分子网络含有6 262个节点，命名为07-1-1，节点来自全国31个省（自治区、直辖市），以男男性行为传播途径为主（32.0%,2 005/6 262）。跨地区分析指标显示07-1-1分子网络中68.9%为跨地区连接边，80.6%为跨地区节点；跨地区聚类系数显示分子网络07-1-1的跨地区传播以广东省（66.6%,79 114/118 819）与北京市（27.9%,33 159/118 819）为中心，发生在我国华东地区、西南地区、华南地区和华中地区等地区间。结论 我国HIV跨地区传播中CRF07＿BC毒株起很强的主导作用，广东省与北京市处于跨地区传播的中心位置，有效控制HIV毒株在我国的跨地区传播，将成为我国艾滋病防控高质量发展的重要举措之一。更多还原

【Abstract】 Objective In order to provide data support for the promotion of precise HIV prevention and control, this article analyze the cross-regional transmission characteristics of the CRF07＿BC strain in China, by constructing a molecular network of the sequence of the pol gene region of the CRF07＿BC strain of HIV-1 in China. Methods FastTree and the subtyping tool of the China HIV Genetic Sequence Data Platform(https://nmdc.cn/hiv/) were used to discriminate subtypes, and the pol gene sequences of the CRF07＿BC strain in China were screened to construct a molecular network.Univariate and multivariate logistic regression analysis were used to identify the factors influencing access rate and crossregional connectivity. Multi-jurisdictional analysis indexes, such as cross-region clustering coefficients, were calculated to characterize the transmission connectivity and intensity among different provinces. Results A total of 81 612 sequences of the pol gene region of HIV-1 strains in China were collected, including 26 181 sequences of CRF07＿BC strain. Under the 0.5% gene distance threshold, 2 028 molecular networks were constructed. The largest molecular network, named 07-1-1, containing 6 262 nodes from 31 provinces(autonomous regions and municipalities) nationwide, and the predominant transmission route was through male-to-male sex behavior(32.0%, 2 005/6 262). The indicator of multi-jurisdictional transmission analysis showed that 68.9% of the molecular networks in 07-1-1 were multi-jurisdictional connecting edges, and 80.6% were multi-jurisdictional transmission nodes. The multi-jurisdictional clustering coefficients showed that the multi-jurisdictional transmission of molecular network 07-1-1 occurs mainly in Guangdong Province(66.6%, 79 114/118 819) and Beijing Municipality(27.9%, 33 159/118 819), as well as in other regions of China, including the east, southwest, south, and central regions. Conclusions The CRF07＿BC strain plays a dominant role in the multi-jurisdictional transmission of HIV in China, with Guangdong Province and Beijing Municipality at the center of the multi-jurisdictional transmission. Effectively controlling the multi-jurisdictional transmission of HIV strains in China will be one of the most important initiatives for the high-quality development of AIDS prevention and control in China.更多还原