Divergent transmission dynamics and drug resistance evolution of HIV-1 CRF01_AE and CRF07_BC in Tianjin, China (2013-2022)

被引:0
作者
Zheng, Minna [1 ,2 ]
Zhao, Hehe [3 ]
Ning, Tielin [1 ,2 ]
Zhao, Fangning [1 ]
Gong, Hui [1 ]
Lyu, Fan [3 ,4 ]
Yu, Maohe [1 ,2 ]
机构
[1] Tianjin Ctr Dis Control & Prevent, Dept AIDS STD Control & Prevent, Tianjin 300011, Peoples R China
[2] Tianjin Ctr Dis Control & Prevent, Tianjin Key Lab Pathogen Microbiol Infect Dis, Tianjin 300011, Peoples R China
[3] Chinese Ctr Dis Control & Prevent, Natl Ctr AIDS STD Control & Prevent, Beijing 102206, Peoples R China
[4] Natl Key Lab Intelligent Tracking & Forecasting In, Beijing 102206, Peoples R China
关键词
HIV-1; Phylodynamic analysis; Transmission dynamics; DRMs; EPIDEMIC; LINEAGES; STRAINS;
D O I
10.1186/s12985-025-02704-y
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Background Tianjin, a major hub in northern China, faces rising HIV-1 infections dominated by CRF01_AE and CRF07_BC. This study elucidated their divergent transmission patterns and drug resistance dynamics to guide targeted interventions. Methods This study included samples identified as CRF01_AE and CRF07_BC subtypes through various methods between 2013 and 2022. BEAST software was used to examine the spatiotemporal transmission patterns of these subtypes in Tianjin. By integrating HIV-TRACE, we constructed high-risk transmission clusters and identified drug resistance mutations (DRMs) based on the Stanford HIV Drug Resistance Database. Finally, the birth-death skyline serial (BDSKY) model was employed to dynamically assess the effective reproductive number (Re) of both subtypes to predict future transmission dynamics. Results CRF01_AE might be introduced in 1988 from Henan and Zhejiang, forming multiple small clusters (< 10 nodes) and spreading through both heterosexual and men who have sex with men (MSM) in Tianjin, while CRF07_BC from Chongqing and Guizhou, et al. in 2004, experiencing explosive local transmission and forming a large cluster of 170 nodes primarily among MSM under 30 years old (P < 0.05). Phylogenetic analysis indicated that CRF01_AE has a significantly higher evolutionary rate (2.08 x 10(-)3 vs. 1.48 x 10(-)3 substitutions/site/year, P < 0.05), while CRF07_BC demonstrates a greater cluster formation capacity (56.6% vs. 37.1%, P < 0.05). CRF01_AE showed a higher mutation occurrence rate (5.18% vs. 2.49%, P < 0.05), particularly with non-nucleoside reverse transcriptase inhibitor (NNRTI) associated mutations (e.g., K101E). Although CRF07_BC had a lower resistance burden, the emergence of K103E mutations suggests a need for vigilance regarding potential decreases in sensitivity to newer NNRTIs. BDSKY modeling revealed that the Re for CRF01_AE dropped below 1 after 2016, whereas CRF07_BC's Re remains above 1, indicating that the risk of transmission still exists. Conclusion Subtype-specific strategies are critical: intensified resistance monitoring for CRF01_AE and cluster-focused interventions for CRF07_BC, particularly among young MSM.
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页数:12
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