Yin Y Q, Chen J S, Cheng H, Zhang X, Wu N N, Chen L S, Wang B
Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing 210009, China.
Wuxi Xinwu District Center for Disease Control and Prevention, Wuxi 214028, China.
Zhonghua Liu Xing Bing Xue Za Zhi. 2020 Feb 10;41(2):244-248. doi: 10.3760/cma.j.issn.0254-6450.2020.02.019.
To understand the distribution of HIV-1 subtype in Wuxi city, to predict the local HIV-1 epidemics. Samples were collected from the 'CD(4)(+) T lymphocyte monitoring cohort study' in Wuxi from April 2013 to July 2016. HIV-1 gene was amplified, sequenced and with HIV-1 sequence database constructed, using both the ChromasPro 1.6 and MEGA 7.0 softwares. Bayesian phylogenetic inference was used to rebuild the history of HIV-1 transmission, while BEAST 1.7.2 and FastTree 2.1.10 software were used for data analysis. Statistical analysis using SPSS 22.0 software. Among the 205 subjects of HIV-1 infection, 32.68(67/205) of them were over 50 years old. Seven subtypes (including CRF01_AE, CRF07_BC, CRF67_01B, B, CRF08_ BC, CRF68_0B, CRF78_cpx) and one of the unique recombinant forms (URFs) were detected. The main subtypes were CRF01_ AE (51.67, 93/180) and CRF07_BC (17.22, 31/180). Differences between subtypes and ways of transmission were statistically significant ( (2)=16.99, ≤0.05). The proportion of CRF67_01B (12.78, 23/180) was higher than before. Results from Bayesian phylogenetic inference analysis showed that the evolution rate was 2.29×10(-3) and Time to the Most Recent Common Ancestor (tMRCA) was 2 003.10. CRF67_01B was probably related to the reference strains from Jiangsu and Anhui provinces, and had been spreading in Wuxi since 2003. HIV-1 subtypes seemed complex and diverse in Wuxi city in 2013-2016, with CRF67_01B being pervasive. Continuous molecular monitor program was still needed to provide reference for the prediction of epidemics, from the molecular perspective.
为了解无锡市HIV-1亚型分布情况,预测当地HIV-1流行趋势。于2013年4月至2016年7月从无锡市“CD4+T淋巴细胞监测队列研究”中采集样本。采用ChromasPro 1.6和MEGA 7.0软件对HIV-1基因进行扩增、测序并构建HIV-1序列数据库。利用贝叶斯系统发育推断重建HIV-1传播历史,同时使用BEAST 1.7.2和FastTree 2.1.10软件进行数据分析。采用SPSS 22.0软件进行统计分析。在205例HIV-1感染受试者中,年龄超过50岁者占32.68%(67/205)。检测到7种亚型(包括CRF01_AE、CRF07_BC、CRF67_01B、B、CRF08_BC、CRF68_0B、CRF78_cpx)及1种独特重组形式(URFs)。主要亚型为CRF01_AE(51.67%,93/180)和CRF07_BC(17.22%,31/180)。亚型与传播途径之间的差异具有统计学意义(χ2=16.99,P≤0.05)。CRF67_01B的比例(12.78%,23/180)高于以往。贝叶斯系统发育推断分析结果显示,进化速率为2.29×10-3,最近共同祖先时间(tMRCA)为2003.10。CRF67_01B可能与来自江苏和安徽的参考毒株有关,自2003年以来一直在无锡传播。2013 - 2016年无锡市HIV-1亚型似乎复杂多样,CRF67_01B广泛存在。仍需持续的分子监测计划,从分子角度为流行趋势预测提供参考。