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HIV-1 Transmissions Among Recently Infected Individuals in Southwest China are Predominantly Derived from Circulating Local Strains
被引:0
|作者:
Jianjun Li
Yi Feng
Zhiyong Shen
Yingxin Li
Zhenzhu Tang
Runsong Xiong
Hongman Zhang
Jing Wei
Xinjuan Zhou
Yueqin Deng
Ningye Fang
Guanghua Lan
Shujia Liang
Qiuying Zhu
Hui Xing
Yuhua Ruan
Yiming Shao
机构:
[1] Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention,Institute of HIV/AIDS Prevention and Control
[2] Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases,State Key Laboratory of Infectious Disease Prevention and Control (SKLID), National Center for AIDS/STD Control (NCAIDS) and Prevention, Chinese Center for Disease Control a
[3] Guangxi Medical University,College of Pharmacy
来源:
关键词:
Recent Infection;
Strain Transmission;
Circulating Recombinant Forms (CRF);
Intravenous Drug Users (IDUs);
Local BLAST Database;
D O I:
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摘要:
Although the Guangxi region accounts for 10% of all HIV-1 cases new reported in 2011 in China, the sources of the transmitted HIV-1 strains are virtually unknown. To determine the extent to which recent HIV infections were derived from already circulating local strains as opposed to recently introduced strains, we performed a cross-sectional molecular epidemiological investigation of recent infections across Guangxi during 2012–2013. HIV-1 nucleotide sequences were amplified and sequenced. Phylogenetic analyses of pol gene regions were used to determine HIV-1 transmission source strains. Based on 229 sequences generated, the subtype/CRF distribution was as follows: CRF01_AE (61.1%), CRF07_BC (18.8%), CRF08_BC (16.6%), CRF55_01B (3.1%), and subtype B′ (0.4%). In total, 213 of 229 (93.0%) sequenced transmission strains were derived from already-circulating local strains. Multivariate logistic regression analysis showed that only an age of 18–25 years was significantly associated with transmission from outside Guangxi (compared to >25 years, AOR: 5.15, 95% CI: 1.18–22.48, p < 0.01). This is the first study to use a Bayesian discrete phylogeographic approach to analyze transmission source strains in China. Our results provide useful data for designing evidence-based prevention strategies and methods for combating the rapid spread of sexually transmitted HIV in Guangxi.
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