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Evolutionary Dynamics and Complicated Genetic Transmission Network Patterns of HIV-1 CRF01_AE among MSM in Shanghai, China

To explore the evolutionary dynamics and molecular transmission patterns of HIV-1 CRF01_AE in depth among men who have sex with men (MSM) in Shanghai, we constructed phylogenetic tree and genetic transmission networks based on 1, 152 pol sequences from MSM, 282 from other risk groups and 795 referen...

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Autores principales: Li, Xiaoshan, Xue, Yile, Lin, Yi, Gai, Jing, Zhang, Lei, Cheng, Hua, Ning, Zhen, Zhou, Leiming, Zhu, Kexin, Vanham, Guido, Kang, Laiyi, Wang, Ying, Zhuang, Minghua, Pan, Qichao, Zhong, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048130/
https://www.ncbi.nlm.nih.gov/pubmed/27698457
http://dx.doi.org/10.1038/srep34729
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author Li, Xiaoshan
Xue, Yile
Lin, Yi
Gai, Jing
Zhang, Lei
Cheng, Hua
Ning, Zhen
Zhou, Leiming
Zhu, Kexin
Vanham, Guido
Kang, Laiyi
Wang, Ying
Zhuang, Minghua
Pan, Qichao
Zhong, Ping
author_facet Li, Xiaoshan
Xue, Yile
Lin, Yi
Gai, Jing
Zhang, Lei
Cheng, Hua
Ning, Zhen
Zhou, Leiming
Zhu, Kexin
Vanham, Guido
Kang, Laiyi
Wang, Ying
Zhuang, Minghua
Pan, Qichao
Zhong, Ping
author_sort Li, Xiaoshan
collection PubMed
description To explore the evolutionary dynamics and molecular transmission patterns of HIV-1 CRF01_AE in depth among men who have sex with men (MSM) in Shanghai, we constructed phylogenetic tree and genetic transmission networks based on 1, 152 pol sequences from MSM, 282 from other risk groups and 795 references. Phylogenetic analyses identified two distinct major CRF01_AE lineages and a Shanghai-based sub-lineage. The estimated tMRCAs for lineage 1 and 2 were 1996.0 (1992.9–1999.2) and 1997.8 (1994.3–2001.4), respectively. Of the 1, 152 MSM, 681 (59.1%) were identified as belonging to 241 separate networks. Of these 681 individuals in networks, 74.2% were linked to cases diagnosed in different years, 4.3% were linked to heterosexual women, and 0.7% were linked to persons who inject drugs. A total of 71 networks including 180 individuals diagnosed in Shanghai with the same domicile were found. Recent infection (P = 0.022) and sampling year after 2011 (P < 0.001) were significantly associated with potential transmission links among the networks. Besides, a significant transmission of viruses with drug resistant mutations at V179D/E were found in the networks. Given these findings, we propose that genetic transmission analysis is a useful tool in HIV intervention strategies to curb the spread of virus and promoting public health.
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spelling pubmed-50481302016-10-11 Evolutionary Dynamics and Complicated Genetic Transmission Network Patterns of HIV-1 CRF01_AE among MSM in Shanghai, China Li, Xiaoshan Xue, Yile Lin, Yi Gai, Jing Zhang, Lei Cheng, Hua Ning, Zhen Zhou, Leiming Zhu, Kexin Vanham, Guido Kang, Laiyi Wang, Ying Zhuang, Minghua Pan, Qichao Zhong, Ping Sci Rep Article To explore the evolutionary dynamics and molecular transmission patterns of HIV-1 CRF01_AE in depth among men who have sex with men (MSM) in Shanghai, we constructed phylogenetic tree and genetic transmission networks based on 1, 152 pol sequences from MSM, 282 from other risk groups and 795 references. Phylogenetic analyses identified two distinct major CRF01_AE lineages and a Shanghai-based sub-lineage. The estimated tMRCAs for lineage 1 and 2 were 1996.0 (1992.9–1999.2) and 1997.8 (1994.3–2001.4), respectively. Of the 1, 152 MSM, 681 (59.1%) were identified as belonging to 241 separate networks. Of these 681 individuals in networks, 74.2% were linked to cases diagnosed in different years, 4.3% were linked to heterosexual women, and 0.7% were linked to persons who inject drugs. A total of 71 networks including 180 individuals diagnosed in Shanghai with the same domicile were found. Recent infection (P = 0.022) and sampling year after 2011 (P < 0.001) were significantly associated with potential transmission links among the networks. Besides, a significant transmission of viruses with drug resistant mutations at V179D/E were found in the networks. Given these findings, we propose that genetic transmission analysis is a useful tool in HIV intervention strategies to curb the spread of virus and promoting public health. Nature Publishing Group 2016-10-04 /pmc/articles/PMC5048130/ /pubmed/27698457 http://dx.doi.org/10.1038/srep34729 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Li, Xiaoshan
Xue, Yile
Lin, Yi
Gai, Jing
Zhang, Lei
Cheng, Hua
Ning, Zhen
Zhou, Leiming
Zhu, Kexin
Vanham, Guido
Kang, Laiyi
Wang, Ying
Zhuang, Minghua
Pan, Qichao
Zhong, Ping
Evolutionary Dynamics and Complicated Genetic Transmission Network Patterns of HIV-1 CRF01_AE among MSM in Shanghai, China
title Evolutionary Dynamics and Complicated Genetic Transmission Network Patterns of HIV-1 CRF01_AE among MSM in Shanghai, China
title_full Evolutionary Dynamics and Complicated Genetic Transmission Network Patterns of HIV-1 CRF01_AE among MSM in Shanghai, China
title_fullStr Evolutionary Dynamics and Complicated Genetic Transmission Network Patterns of HIV-1 CRF01_AE among MSM in Shanghai, China
title_full_unstemmed Evolutionary Dynamics and Complicated Genetic Transmission Network Patterns of HIV-1 CRF01_AE among MSM in Shanghai, China
title_short Evolutionary Dynamics and Complicated Genetic Transmission Network Patterns of HIV-1 CRF01_AE among MSM in Shanghai, China
title_sort evolutionary dynamics and complicated genetic transmission network patterns of hiv-1 crf01_ae among msm in shanghai, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048130/
https://www.ncbi.nlm.nih.gov/pubmed/27698457
http://dx.doi.org/10.1038/srep34729
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