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Basic Characteristics of Mutations
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Mutation Site
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K101E |
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Mutation Site Sentence
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2.49%, P < 0.05), particularly with non-nucleoside reverse transcriptase inhibitor (NNRTI) associated mutations (e.g., K101E). |
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Mutation Level
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Amino acid level |
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Mutation Type
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Nonsynonymous substitution |
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Gene/Protein/Region
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RT |
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Standardized Encoding Gene
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gag-pol:155348
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Genotype/Subtype
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HIV-1 CRF07_BC;CRF01_AE |
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Viral Reference
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HXB2: 2253–3306
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Functional Impact and Mechanisms
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Disease
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HIV Infections
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Immune
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- |
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Target Gene
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-
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Clinical and Epidemiological Correlations
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Clinical Information
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Y |
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Treatment
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NNRTI |
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Location
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China |
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Literature Information
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PMID
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40340650
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Title
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Divergent transmission dynamics and drug resistance evolution of HIV-1 CRF01_AE and CRF07_BC in Tianjin, China (2013-2022)
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Author
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Minna Z,Hehe Z,Tielin N,Fangning Z,Hui G,Fan L,Maohe Y
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Journal
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Virology journal
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Journal Info
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2025 May 8;22(1):137
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Abstract
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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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Sequence Data
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-
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