Epidemiological profile and molecular genetic characterization of HIV-1 among female sex workers and elderly male clients in Guangxi, China

Emerg Microbes Infect. 2021 Dec;10(1):384-395. doi: 10.1080/22221751.2021.1888659.

Abstract

The HIV/AIDS prevalence in female sex workers (FSWs) and elderly male clients is increasing in Guangxi, China, but the transmission relationship between them remains unclear. This study aims to illuminate the transmission network between FSWs and elderly male clients using molecular epidemiological analyses. Phylogenetic analysis indicated that CRF01_AE was the dominant strain, followed by CRF07_BC and CRF08_BC in both groups. Multivariate logistic regression analysis indicated that viral loads of 50 to 1000 copies/mL, immunological treatment failure and CRF07_BC were risk factors for entering the transmission network. Transmission network analysis showed that CRF07_BC tended to form large clusters, whereas CRF01_AE tended to form multiple but small clusters. Two groups of 11 FSWs and 169 clients were intricately intertwined. Spatial analysis demonstrated the formation of hotspots and clusters of transmission sharing regional differences. In conclusion, our study provides direct genetic evidence of transmission linkages between FSWs and elderly male clients. Although the CRF01_AE subtype was still the predominant subtype in the region, the higher degree and larger clusters found in CRF07_BC illustrate a rapid and intensive uptrend, which is expected to increase its prevalence in the region in the future.

Keywords: HIV/AIDS; elderly male clients; female sex workers; molecular epidemiology; transmission network.

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • China / epidemiology
  • Cluster Analysis
  • Female
  • HIV Infections / epidemiology
  • HIV Infections / transmission*
  • HIV Infections / virology
  • HIV-1 / classification*
  • HIV-1 / genetics
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Phylogeny
  • Prevalence
  • RNA, Viral / genetics*
  • Rural Population
  • Sequence Analysis, RNA / methods*
  • Sex Workers / statistics & numerical data*
  • Viral Load

Substances

  • RNA, Viral

Grants and funding

This study was supported by the National Natural Science and Technology Foundation of China (81960602 and 81971935), Guangxi Science Fund for Distinguished Young Scholars (2018GXNSFFA281001), Guangxi Key Research and Development Plan (GuikeAB18050022), Self-financing Project of Health Commission of Guangxi (Z20180857), Guangxi Bagui Scholar (to Junjun Jiang), Guangxi Medical University Training Program for Distinguished Young Scholars (to Junjun Jiang), and Youth Science Foundation of Guangxi Medical University (GXMUYSF201906).