Department of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, People's Republic of China.
State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China.
Emerg Microbes Infect. 2022 Dec;11(1):2326-2339. doi: 10.1080/22221751.2022.2119167.
In this study, we conducted a detailed molecular epidemiological analysis of HIV-1 epidemic strains in various sexual risk behaviour groups in a developed area in eastern China based on phylogenetic inference, molecular transmission networks, and Bayesian analyses. A total of 1083 sequences (91.23%, 1083/1187) from newly diagnosed HIV-1-positive patients from 2017 to 2020 were successfully obtained and involved thirteen HIV-1 subtypes, in which the major HIV-1 subtypes were CRF07_BC (36.10%, 391/1083) and CRF01_AE (34.63%, 375/1083). 485 individuals (44.78%,485/1083) formed 146 clusters in the network. Of which CRF07_BC showed extensive clustering driven by men who have sex with men (MSM) within larger networks, CRF01_AE and other subtypes were generally driven by small clusters (SCs) and medium clusters (MCs) among various risk groups. Through Sankey diagrams, the MSM group infected with CRF07_BC had a greater impact on the non-commercial heterosexual group among all cross-risk groups. In addition, a higher number of key individuals infected with CRF07_BC (40.22%, 74/127), suggests the crucial role of CRF07_BC-infected individuals as a local epidemic driver in the context of a mixed HIV-1 epidemic. Further Bayesian analysis confirmed that CRF07_BC was introduced into Jiaxing city from other provinces multiple times and spread rapidly among MSM and heterosexual individuals. Overall, our study provided some insights and information to explore the local transmission dynamics of HIV-1 epidemic strains involving various sexual risk groups, and emphasize that it is necessary to conduct in-depth research and precise intervention targeting key clusters/ individuals to effectively block the continued transmission of AIDS.
在这项研究中，我们基于系统进化推断、分子传播网络和贝叶斯分析，对中国东部一个发达地区不同性风险行为人群中的 HIV-1 流行株进行了详细的分子流行病学分析。共成功获得了 2017 年至 2020 年新诊断的 HIV-1 阳性患者的 1083 条序列（91.23%，1083/1187），涉及 13 种 HIV-1 亚型，其中主要的 HIV-1 亚型为 CRF07_BC（36.10%，391/1083）和 CRF01_AE（34.63%，375/1083）。网络中形成了 146 个包含 485 人的簇（44.78%，485/1083）。其中 CRF07_BC 显示出广泛的聚类，由男男性行为者（MSM）驱动，存在更大的网络；CRF01_AE 和其他亚型通常由各种风险人群中的小簇（SCs）和中簇（MCs）驱动。通过 Sankey 图可以看出，感染 CRF07_BC 的 MSM 群体对所有交叉风险群体中的非商业异性恋群体影响更大。此外，CRF07_BC 感染个体数量更多（40.22%，74/127），表明 CRF07_BC 感染个体在混合 HIV-1 流行中作为本地流行驱动因素发挥了关键作用。进一步的贝叶斯分析证实，CRF07_BC 多次从其他省份传入嘉兴市，并在 MSM 和异性恋者中迅速传播。总的来说，本研究为探索涉及不同性风险人群的 HIV-1 流行株的本地传播动态提供了一些见解和信息，并强调有必要针对关键簇/个体进行深入研究和精确干预，以有效阻断艾滋病的持续传播。
