Y Q Yin1, J S Chen1, H Cheng2, X Zhang3, N N Wu4, L S Chen3, B Wang1. 1. Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing 210009, China. 2. Wuxi Xinwu District Center for Disease Control and Prevention, Wuxi 214028, China. 3. Wuxi Center for Disease Control and Prevention, Wuxi 214000, China. 4. Department of Healthcare Associated Infection Control, Wuxi Second People's Hospital, Wuxi 214002, China.
Abstract
Objective: To understand the distribution of HIV-1 subtype in Wuxi city, to predict the local HIV-1 epidemics. Methods: 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. Results: 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 ( χ(2)=16.99, P≤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. Conclusions: 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.
Objective: To understand the distribution of HIV-1 subtype in Wuxi city, to predict the local HIV-1 epidemics. Methods: 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. Results: 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 ( χ(2)=16.99, P≤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. Conclusions: 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.