Epidemiological dynamics and molecular characterization of HIV drug resistance in eastern China from 2020 to 2023.

IF 4 2区 生物学 Q2 MICROBIOLOGY
Frontiers in Microbiology Pub Date : 2024-10-18 eCollection Date: 2024-01-01 DOI:10.3389/fmicb.2024.1475548
Min Zhu, Zhou Sun, Xingliang Zhang, Wenjie Luo, Sisheng Wu, Ling Ye, Ke Xu, Junfang Chen
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Abstract

Objective: HIV drug resistance (HIVDR) has become a threat to the elimination of the AIDS epidemic due to the global scale-up of antiretroviral therapy (ART) for HIV-infected individuals. This study aims to investigate the epidemiological dynamics and molecular characterization of HIV pretreatment drug resistance (PDR) and acquired drug resistance (ADR) in Hangzhou, a developed region in China.

Methods: An epidemiological survey combined with a molecular transmission network and Bayesian analysis was conducted. A total of 3,596 individuals with newly confirmed HIV infections (from 2020 to 2023) and 164 individuals with ART failure (from 2021 to 2023) were included. The molecular transmission network was used to identify key drug-resistant transmission clusters, while the Bayesian analysis was utilized to trace the origins and spread of these clusters.

Results: The overall prevalence of PDR was found to be 8.4% (303/3596). Among these cases, PDR to non-nucleoside reverse transcriptase inhibitors (NNRTIs) accounted for 4.7% (170/3596), significantly higher than the resistance observed for protease inhibitors (PIs; 2.8%, p < 0.001) and nucleoside reverse transcriptase inhibitors (NRTIs; 1.4%, p < 0.001). Multivariate logistic regression analysis revealed a significantly higher PDR value among individuals infected with the CRF07_BC subtype compared to those with the CRF08_BC subtype (aOR = 0.56, 95% CI = 0.359-0.859, p = 0.008). The molecular transmission network analysis identified the transmission of the drug resistance mutation (DRM) Q58E within the clusters of the CRF07_BC subtype. The Bayesian analysis suggested that these clusters were introduced into Hangzhou from Shenzhen between 2005 and 2012. Furthermore, the study highlighted 50.6% (83/164) prevalence of ADR among individuals experiencing ART failure. The combined molecular network analysis of virological failure and newly confirmed HIV infections indicated the transmission of the K103N mutation between these groups.

Conclusion: In conclusion, targeted interventions may be necessary for specific subtypes and transmission clusters to control the spread of drug-resistant HIV. Continuous monitoring of resistance patterns is critical to inform treatment strategies and optimize ART regimens.

2020-2023 年中国东部地区艾滋病耐药性的流行动态和分子特征。
目的:随着全球艾滋病病毒感染者抗逆转录病毒疗法(ART)的推广,艾滋病病毒耐药性(HIVDR)已成为消除艾滋病疫情的威胁。本研究旨在调查中国发达地区杭州市艾滋病预处理耐药(PDR)和获得性耐药(ADR)的流行病学动态和分子特征:方法:结合分子传播网络和贝叶斯分析法进行流行病学调查。共纳入 3,596 名新确诊的 HIV 感染者(2020 年至 2023 年)和 164 名抗逆转录病毒疗法失败者(2021 年至 2023 年)。分子传播网络用于识别主要的耐药性传播集群,贝叶斯分析则用于追踪这些集群的起源和传播情况:结果:发现 PDR 的总体流行率为 8.4%(303/3596)。在这些病例中,对非核苷类逆转录酶抑制剂(NNRTIs)的耐药率为 4.7%(170/3596),明显高于对蛋白酶抑制剂(PIs)的耐药率 2.8%,P = 0.008。分子传播网络分析确定了耐药性突变(DRM)Q58E在CRF07_BC亚型群中的传播。贝叶斯分析表明,这些集群是在2005年至2012年间从深圳传入杭州的。此外,该研究还强调,在抗逆转录病毒疗法失败的患者中,ADR 的发生率为 50.6%(83/164)。对病毒学失败和新确诊的艾滋病病毒感染者进行的分子网络综合分析表明,K103N突变在这些群体之间传播:总之,可能有必要针对特定亚型和传播集群采取有针对性的干预措施,以控制耐药 HIV 的传播。对耐药模式的持续监测对于制定治疗策略和优化抗逆转录病毒疗法至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.70
自引率
9.60%
发文量
4837
审稿时长
14 weeks
期刊介绍: Frontiers in Microbiology is a leading journal in its field, publishing rigorously peer-reviewed research across the entire spectrum of microbiology. Field Chief Editor Martin G. Klotz at Washington State University is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.
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