Analysis on characteristics of HIV-1 molecular network in injected drug users in Guangzhou, 2008-2017
10.3760/cma.j.cn112338-20201209-01393
- VernacularTitle:广州市2008-2017年注射吸毒人群HIV-1分子网络特征分析
- Author:
Wenting ZENG
1
;
Zhigang HAN
;
Hao WU
;
Qingmei LI
;
Caiyun LIANG
;
Liqian XU
;
Xinhua ZHAO
Author Information
1. 广东药科大学公共卫生学院，广州 510310
- Keywords:
HIV;
Injected drug user;
Molecular network;
Cluster analysis;
Centrality analysis
- From:
Chinese Journal of Epidemiology
2021;42(7):1260-1265
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To understand the characteristics of the HIV-1 molecular networks in injected drug users (IDUs) in Guangzhou from 2008 to 2017, and provide reference for the prevention and control of AIDS in this population.Methods:The serum samples of newly diagnosed HIV-1 positive IDUs in Guangzhou from 2008 to 2017 were collected, HIV-1 RNA was extracted for pol gene amplification and sequencing. The molecular cluster in the phylogenetic tree was identified by Cluster Picker 1.2.3 for cluster analysis. TN93 model in HyPhy2.2.4 was used to calculate the gene distance between the cluster sequences. Software Cytoscape3.8.2 was used to visualize the molecular network, and χ2 test or exact probability method was used for cluster analysis and centrality analysis. Results:A total of 586 sequences were successfully amplified (73.9%, 586/793), and 80 molecular clusters were produced, with a clustering rate of 46.6% (273/586). In molecular clusters, the proportions of the strains from IDUs in Han ethnic group (48.4%, 260/537), IDUs who were local residents in Guangdong (52.7%, 146/277) and IDUs whose strain sequence subtype was CRF55_01B (93.3%, 14/15) were higher. In the molecular network, the degree range was 1-7, and nodes with degree ≥3 accounted for 12.8% (24/187), which was associated with another 81 nodes in the molecular network (43.3%, 81/187). The centrality analysis showed that the proportions of housework/unemployed with high degree centrality (19.0%, 19/100), high intermediary (22.0%, 22/100), and high proximity centrality (32.0%, 32/100) were higher in IDUs infected with HIV-1.Conclusion:The risk of HIV-1 clustering in IDUs in Guangzhou was high, suggesting that IDUs who were from both Guangdong and Guangxi and were house workers or unemployed should be viewed as the key targets, and precise intervention should be implemented to reduce the HIV-1 infection rate in this population.
