Literature DB >> 28726130

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

Zhimin Zhang1, Lili Dai2, Yan Jiang1, Kaidi Feng1, Lifeng Liu2, Wei Xia2, Fengjiao Yu1, Jun Yao1, Wenge Xing1, Lijun Sun2, Tong Zhang2, Hao Wu2, Bin Su3, Maofeng Qiu4.   

Abstract

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.

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Year:  2017        PMID: 28726130     DOI: 10.1007/s00705-017-3485-z

Source DB:  PubMed          Journal:  Arch Virol        ISSN: 0304-8608            Impact factor:   2.574


  16 in total

1.  Characterizing genetic transmission networks among newly diagnosed HIV-1 infected individuals in eastern China: 2012-2016.

Authors:  Xiaobei Ding; Antoine Chaillon; Xiaohong Pan; Jiafeng Zhang; Ping Zhong; Lin He; Wanjun Chen; Qin Fan; Jun Jiang; Mingyu Luo; Yan Xia; Zhihong Guo; Davey M Smith
Journal:  PLoS One       Date:  2022-06-16       Impact factor: 3.752

2.  Transmission patterns of HIV-1 non-R5 strains in Poland.

Authors:  Joanna Smoleń-Dzirba; Magdalena Rosińska; Piotr Kruszyński; Janusz Janiec; Mariusz Cycoń; Jolanta Bratosiewicz-Wąsik; Marek Beniowski; Monika Bociąga-Jasik; Elżbieta Jabłonowska; Bartosz Szetela; Tomasz J Wąsik
Journal:  Sci Rep       Date:  2019-03-21       Impact factor: 4.379

3.  The prevalence, temporal trends, and geographical distribution of HIV-1 subtypes among men who have sex with men in China: A systematic review and meta-analysis.

Authors:  Yueqi Yin; Yuxiang Liu; Jing Zhu; Xiang Hong; Rui Yuan; Gengfeng Fu; Ying Zhou; Bei Wang
Journal:  Epidemiol Infect       Date:  2019-01       Impact factor: 2.451

4.  What has changed HIV and syphilis infection among men who have sex with men (MSM) in Southwest China: a comparison of prevalence and behavioural characteristics (2013-2017).

Authors:  Yangchang Zhang; Guohui Wu; Rongrong Lu; Wanyuan Xia; Ling Hu; Yang Xiong; Junhao Xie; Qiuhua Yu; Mengliang Ye
Journal:  BMC Public Health       Date:  2019-10-21       Impact factor: 3.295

5.  Triple HIV-1 Infection Is Associated With Faster CD4+ T-Cell Decline.

Authors:  Yu Zhang; Bin Su; Hanping Li; Jingwan Han; Tong Zhang; Tianyi Li; Hao Wu; Xiaolin Wang; Jingyun Li; Yongjian Liu; Lin Li
Journal:  Front Microbiol       Date:  2020-01-24       Impact factor: 5.640

6.  HIV-1 genetic transmission networks among men who have sex with men in Kunming, China.

Authors:  Min Chen; Yanling Ma; Huichao Chen; Jie Dai; Lijuan Dong; Chaojun Yang; Youfang Li; Hongbing Luo; Renzhong Zhang; Xiaomei Jin; Li Yang; Allen Ka Loon Cheung; Manhong Jia; Zhizhong Song
Journal:  PLoS One       Date:  2018-04-26       Impact factor: 3.240

7.  KIR3DL1-Negative CD8 T Cells and KIR3DL1-Negative Natural Killer Cells Contribute to the Advantageous Control of Early Human Immunodeficiency Virus Type 1 Infection in HLA-B Bw4 Homozygous Individuals.

Authors:  Xin Zhang; Xiaofan Lu; Christiane Moog; Lin Yuan; Zhiying Liu; Zhen Li; Wei Xia; Yuefang Zhou; Hao Wu; Tong Zhang; Bin Su
Journal:  Front Immunol       Date:  2018-08-10       Impact factor: 7.561

8.  Molecular epidemiology of a primarily MSM acute HIV-1 cohort in Bangkok, Thailand and connections within networks of transmission in Asia.

Authors:  David Chang; Eric Sanders-Buell; Meera Bose; Anne Marie O'Sullivan; Phuc Pham; Eugene Kroon; Donn J Colby; Rujipas Sirijatuphat; Erik Billings; Suteeraporn Pinyakorn; Nitiya Chomchey; Wiriya Rutvisuttinunt; Gustavo Kijak; Mark de Souza; Jean-Louis Excler; Praphan Phanuphak; Nittaya Phanuphak; Robert J O'Connell; Jerome H Kim; Merlin L Robb; Nelson L Michael; Jintanat Ananworanich; Sodsai Tovanabutra
Journal:  J Int AIDS Soc       Date:  2018-11       Impact factor: 5.396

9.  Genetic characterization of HIV-1 epidemic in Anhui Province, China.

Authors:  Dong Zhang; Jianjun Wu; Yu Zhang; Yuelan Shen; Sheying Dai; Xiaolin Wang; Hui Xing; Jin Lin; Jingwan Han; Jingyun Li; Yizu Qin; Yongjian Liu; Lifeng Miao; Bin Su; Hanping Li; Lin Li
Journal:  Virol J       Date:  2020-02-03       Impact factor: 4.099

10.  HIV-1 molecular transmission network among sexually transmitted populations in Liaoning Province, China.

Authors:  Ning Ma; Xing-Hua Chen; Yan Zhao; Xu Kang; Shan Pan; Wen-Qing Yao
Journal:  Medicine (Baltimore)       Date:  2021-07-16       Impact factor: 1.889

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