Prevalence, dynamic change and spatial distribution of HIV-1 CRF119_0107 from 2019 to 2024 in Nanjing, China: a genomic and spatial epidemiological analysis.

IF 4 3区 医学 Q2 VIROLOGY
Yuanyuan Xu, Hongjie Shi, Xin Li, Tingyi Jiang, Mengkai Qiao, Dandan Xu, Rong Wu, Xin Yuan, Jingwen Wang, Xiajie Zhou, Zhengping Zhu
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引用次数: 0

Abstract

Background: Since its initial detection among men who have sex with men (MSM) in Nanjing, CRF119_0107 has rapidly emerged as the third most prevalent HIV-1 subtype. To elucidate its transmission dynamic, spatial characteristics, and the prevalence of transmitted drug resistance (TDR), we conducted a joint genomic and spatial epidemiological analysis.

Methods: HIV-infected individuals diagnosed from 2109 to 2024 who were identified as CRF119_0107 and didn't undergo antiretroviral therapy (ART) were included in the study. The HIV-1 pol gene sequence was obtained by viral RNA extraction and nested PCR. A molecular transmission network was constructed using HIV-TRACE, and spatial analysis was performed in ArcGIS. Multivariate logistic regression was employed to analyze factors associated with clustering. Transmission links of the network were visualized in intensity matrices and spatial transmission graph.

Results: The 138 CRF119_0107 individuals predominantly consisted of unmarried, college-educated MSM. A notably high TDR prevalence of 15.9% was observed, with 15.2% (21/138) resistance to non-nucleoside reverse transcriptase inhibitor (NNRTI). At the genetic distance threshold of 0.005 substitutions/site, 78 sequences formed 11 transmission clusters, with a clustering rate of 56.6%. The transmission network analysis identified a drug-resistant cluster containing 19 drug-resistant individuals, all harboring K103N/KN mutation. Four large MSM-dominated clusters were identified, including two high-growth clusters expanding at over 2 nodes per year between 2022 and 2024. Multivariate logistic regression analysis revealed that individuals with high initial CD4 counts and TDR individuals had significantly higher clustering rate compared to those with CD4 counts < 200 cells/µL and without TDR. Spatial analysis revealed no significant autocorrelation in clustering rate at the district-level (Moran's I=-0.121, P = 0.774). Intensity matrices revealed extensive inter-district transmission across all 12 districts, with this transmission accounting for 83.8% of total transmissions. The spatial transmission graph showed that the strength of the connections between districts varied, and strong inter-district transmission linkages were also observed between geographically non-adjacent districts.

Conclusions: Real-time surveillance and rapid response mechanisms should prioritize high-growth or drug-resistant transmission clusters. Cross-district coordination and joint interventions should be strengthened in districts with intensive transmission linkages. Our interdisciplinary approach offers an evidence-based framework for curbing dissemination of CRF119_0107.

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2019 - 2024年南京市HIV-1 CRF119_0107的流行、动态变化及空间分布:基因组和空间流行病学分析
背景:自CRF119_0107首次在南京男男性行为者(MSM)中被发现以来,CRF119_0107已迅速成为第三大流行的HIV-1亚型。为了阐明其传播动态、空间特征和传播性耐药(TDR)流行情况,我们进行了基因组和空间流行病学联合分析。方法:研究纳入了自2009年至2024年诊断为CRF119_0107且未接受抗逆转录病毒治疗(ART)的hiv感染者。通过病毒RNA提取和巢式PCR获得HIV-1 pol基因序列。利用HIV-TRACE构建分子传播网络,并在ArcGIS中进行空间分析。采用多元逻辑回归分析聚类相关因素。以强度矩阵和空间传输图的形式显示网络的传输链路。结果:138名CRF119_0107人主要由未婚、大学学历的男男性行为者组成。TDR患病率高达15.9%,其中15.2%(21/138)对非核苷类逆转录酶抑制剂(NNRTI)耐药。在0.005个替代位点/位点的遗传距离阈值下,78条序列共形成11个遗传聚类,聚类率为56.6%。传播网络分析发现一个耐药集群包含19个耐药个体,均携带K103N/KN突变。确定了四个大型msm主导的集群,其中包括两个高增长集群,在2022年至2024年间每年扩展超过2个节点。多因素logistic回归分析显示,与CD4初始计数较高的个体和TDR个体相比,其聚集率显著高于CD4初始计数较高的个体。结论:实时监测和快速反应机制应优先考虑高增长或耐药传播集群。在具有密集传播联系的地区,应加强跨地区协调和联合干预。我们的跨学科方法为遏制CRF119_0107的传播提供了一个基于证据的框架。
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来源期刊
Virology Journal
Virology Journal 医学-病毒学
CiteScore
7.40
自引率
2.10%
发文量
186
审稿时长
1 months
期刊介绍: Virology Journal is an open access, peer reviewed journal that considers articles on all aspects of virology, including research on the viruses of animals, plants and microbes. The journal welcomes basic research as well as pre-clinical and clinical studies of novel diagnostic tools, vaccines and anti-viral therapies. The Editorial policy of Virology Journal is to publish all research which is assessed by peer reviewers to be a coherent and sound addition to the scientific literature, and puts less emphasis on interest levels or perceived impact.
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