Zhang Zhimin, Dai Lili, Jiang Yan, Feng Kaidi, Liu Lifeng, Xia Wei, Yu Fengjiao, Yao Jun, Xing Wenge, Sun Lijun, Zhang Tong, Wu Hao, Su Bin, Qiu Maofeng
National AIDS Reference Laboratory, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Center for Infectious Diseases, Beijing You'an Hospital, Capital Medical University, Beijing, 100069, China.
Arch Virol. 2017 Nov;162(11):3329-3338. doi: 10.1007/s00705-017-3485-z. Epub 2017 Jul 19.
Molecular epidemiology can be used to identify human immunodeficiency virus (HIV) transmission clusters, usually using pol sequence for analysis. In the present study, we explored appropriate parameters to construct a simple network using HIV env and gag sequences instead of pol sequences for constructing a phylogenetic tree and a genetic transmission subnetwork, which were used to identify individuals with many potential transmission links and to explore the evolutionary dynamics of the virus among men who have sex with men (MSM) in Beijing. We investigated 70 acute HIV-1 infections, which consisted of HIV-1 subtype B (15.71%), the circulating recombinant forms CRF01_AE (47.14%), CRF07_BC (21.43%), CRF55_01B (1.43%), and CRF65_cpx (4.29%), and an unknown subtype (10.00%). By exploring the similarities and differences among HIV env, gag and pol sequences in describing the dynamics of the HIV-1 CRF01_AE transmission subnetwork among Beijing MSM, we found that four key points of the env sequences (strains E-2011_BJ.CY_16014, E-2011_BJ.FT_16017, E-2011_BJ.TZ_16064, and E-2011_BJ.XW_16035) contained more transmission information than gag sequences (three key points: strains G-2011_BJ.CY_16014, G-2011_BJ.FT_16017, and G-2011_BJ.XW_16035) and pol sequences (two key points: strains P-2011_BJ.CY_16014 and P-2011_BJ.XW_16035). Although the env and gag sequence results were similar to pol sequences in describing the dynamics of the HIV-1 CRF01_AE transmission subnetwork, we were able to obtain more precise information, allowing identification of key points of subnetwork expansion, based on HIV env and gag sequences instead of pol sequences. Taken together, the key points we found will improve our current understanding of how HIV spreads between MSM populations in Beijing and help to better target preventative interventions for promoting public health.
分子流行病学可用于识别人类免疫缺陷病毒(HIV)传播集群,通常使用pol序列进行分析。在本研究中,我们探索了合适的参数,以构建一个简单的网络,该网络使用HIV env和gag序列而非pol序列来构建系统发育树和遗传传播子网,这些工具用于识别具有许多潜在传播联系的个体,并探索病毒在北京男男性行为者(MSM)中的进化动态。我们调查了70例急性HIV-1感染病例,其中包括HIV-1 B亚型(15.71%)、循环重组形式CRF01_AE(47.14%)、CRF07_BC(21.43%)、CRF55_01B(1.43%)、CRF65_cpx(4.29%)以及一种未知亚型(10.00%)。通过探索HIV env、gag和pol序列在描述北京男男性行为者中HIV-1 CRF01_AE传播子网动态方面的异同,我们发现env序列的四个关键点(毒株E-2011_BJ.CY_16014、E-2011_BJ.FT_16017、E-2011_BJ.TZ_16064和E-2011_BJ.XW_16035)比gag序列(三个关键点:毒株G-2011_BJ.CY_16014、G-2011_BJ.FT_16017和G-2011_BJ.XW_16035)和pol序列(两个关键点:毒株P-2011_BJ.CY_16014和P-2011_BJ.XW_16035)包含更多传播信息。尽管env和gag序列结果在描述HIV-1 CRF01_AE传播子网动态方面与pol序列相似,但基于HIV env和gag序列而非pol序列,我们能够获得更精确的信息,从而识别子网扩展的关键点。综上所述,我们发现的关键点将增进我们目前对HIV在北京男男性行为人群中传播方式的理解,并有助于更好地针对预防干预措施,以促进公共卫生。