Transmission network characteristics based on env and gag sequences from MSM during acute HIV-1 infection in Beijing, China

Transmission network characteristics based on env and gag sequences from MSM during acute HIV-1 infection in Beijing, China
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中国北京急性 HIV-1 感染期间 MSM 的 env 和 gag 序列的传播网络特征

DOI:
10.1007/s00705-017-3485-z
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发表时间:
2017-11-01
影响因子:
2.7
通讯作者:
Qiu, Maofeng
Qiu, Maofeng
中科院分区:
医学4区
文献类型:
--
作者:
Zhang, Zhimin;Dai, Lili;Qiu, Maofeng

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分子流行病学可用于识别人类免疫缺陷病毒(HIV)传播簇,通常使用pol序列进行分析。本研究利用HIV env和gag基因序列构建简单网络,并利用该网络构建系统进化树和遗传传播子网络,以识别具有多种潜在传播途径的个体,探讨北京地区男男性接触者(MSM)中HIV的进化动力学。我们调查了70例HIV-1急性感染者,其中包括HIV-1亚型B(15.71%),循环重组型CRF 01_AE(47.14%)、CRF 07_BC(21.43%)、CRF 55_01 B(1.43%)和CRF 65_cpx(4.29%),以及未知亚型(10.00%)。通过比较HIV env、gag和pol序列在描述HIV-1 CRF01_AE传播子网络动态中的异同,发现env序列的4个关键点菌株E-2011_BJ.CY_16014、E-2011_BJ.FT_16017、E-2011_BJ.TZ_16064和E-2011_BJ.XW_16035比gag序列包含更多的传播信息(三个关键点:菌株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:菌株P-2011_BJ.CY_16014和P-2011_BJ.XW_16035)。虽然env和gag序列的结果与pol序列在描述HIV-1 CRF01_AE传播子网络的动力学方面相似,但我们能够获得更精确的信息,从而基于HIV env和gag序列而不是pol序列识别子网络扩展的关键点。综上所述,我们发现的关键点将提高我们目前对艾滋病毒如何在北京MSM人群中传播的理解,并有助于更好地针对预防干预措施,以促进公共卫生。
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.