Yu Dee, Li Mu, Wei Liangjia, Zhu Kaokao, Zhang Rongjing, Luo Tong, Ning Yi, Liang Hao, Zhang Jing, Ye Li, Liang Bingyu
School of Public Health, Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, Hainan, 571199, China.
Guangxi Key Laboratory of AIDS Prevention and Treatment & Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, School of Public Health, Guangxi Medical University, Nanning, Guangxi, 530021, China.
BMC Infect Dis. 2025 Jul 1;25(1):813. doi: 10.1186/s12879-025-11184-y.
Hainan is experiencing a continuous increase in newly diagnosed HIV-1 infections, highlighting the need for a comprehensive understanding of local transmission dynamics. This study aims to elucidate the genetic diversity and potential HIV-1 molecular transmission networks among people living with HIV-1 in Hainan, China.
We used the HIV-TRACE to infer the transmission dynamics of HIV-1 at a 1.5% gene distance threshold. The role of HIV-1 diversity in transmission networks was assessed through node influence measurement and centrality analysis.
A total of 986 pol sequences were included, with CRF07_BC (43.71%) and CRF01_AE (37.12%) emerging as the predominant subtypes. Of these, 586 (59.43%) were clustered into the transmission networks, forming 83 clusters with 155 nodes having high transmission network scores (HTNS). CRF07_BC (adjusted odds ratio, aOR: 1.585, 95%CI: 1.189- 2.113) and CRF65_cpx (aOR: 9.513, 95%CI: 3.694- 24.499) were more likely to cluster in networks and exhibit nodal centrality than CRF01_AE. The CRF65_cpx (88.46%) were more likely to be HTNS (aOR: 57.302, 95%CI:16.869- 194.643) than CRF07_BC.
This study highlights the high genetic diversity of HIV-1 and its central role in transmission networks, advocating for targeted prevention strategies and community engagement for high-risk transmission populations, particularly focusing on subtypes CRF07_BC and CRF65_cpx.
海南新诊断的HIV-1感染病例持续增加，这凸显了全面了解当地传播动态的必要性。本研究旨在阐明中国海南HIV-1感染者中HIV-1的基因多样性及潜在的分子传播网络。
我们使用HIV-TRACE在1.5%基因距离阈值下推断HIV-1的传播动态。通过节点影响测量和中心性分析评估HIV-1多样性在传播网络中的作用。
共纳入986条pol序列，CRF07_BC（43.71%）和CRF01_AE（37.12%）为主要亚型。其中，586条（59.43%）聚类到传播网络中，形成83个簇，155个节点具有高传播网络得分（HTNS）。与CRF01_AE相比，CRF07_BC（调整优势比，aOR：1.585，95%置信区间：1.189 - 2.113）和CRF65_cpx（aOR：9.513，95%置信区间：3.694 - 24.499）更有可能聚类在网络中并表现出节点中心性。CRF65_cpx（88.46%）比CRF07_BC更有可能是HTNS（aOR：57.302，95%置信区间：16.869 - 194.643）。
本研究突出了HIV-1的高基因多样性及其在传播网络中的核心作用，倡导针对高风险传播人群制定有针对性的预防策略并促进社区参与，尤其关注CRF07_BC和CRF65_cpx亚型。
