Zheng Shan, Wu Jianjun, Hao Jingjing, Wang Dong, Hu Zhongwang, Liu Lei, Song Chang, Hu Jing, Lei Yanhua, Wang Hai, Liao Lingjie, Feng Yi, Shao Yiming, Ruan Yuhua, Xing Hui
State Key Laboratory of Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Anhui Provincial Center for Disease Control and Prevention, Hefei 230601, China.
Pathogens. 2022 Jul 31;11(8):866. doi: 10.3390/pathogens11080866.
To study the characteristics of HIV pretreatment drug resistance (PDR) and acquired drug resistance (ADR) in Hefei, a cross-sectional survey was used to collect 816 samples from newly reported HIV infections from 2017 to 2020 and 127 samples from HIV infections with virological failure from 2018 to 2019 in Hefei. HIV drug resistance levels and drug resistance mutations were interpreted using the Stanford Drug Resistance Database. Molecular networks were constructed by HIV-TRACE. Among the newly reported infections in Hefei, the prevalence of PDR was 6.4% (52/816). The drug resistance mutations were mainly V179E/D/T (12.4%), K103N (1.3%), and V106I/M (1.3%). In addition, it was found that the CRF55_01B subtype had a higher drug resistance rate than other subtypes (p < 0.05). Molecular network analysis found that K103N and V179E may be transmitted in the cluster of the CRF55_01B subtype. The prevalence of ADR among HIV infections with virological failure was 38.6% (49/127), and the drug resistance mutations were mainly M184V (24.4%), K103N/S (15.7%), Y181C (11.0%), G190S/A/E (10.2%), and V106M/I (10.2%). The molecular network was constructed by combining HIV infections with virological failure and newly reported infections; M184V and Y181C may be transmitted between them. The chi-square trend test results indicated that the higher the viral load level, the greater the number of newly reported infections linked to the infections with virological failure in the molecular network. In conclusion, interventions should focus on infections of the CRF55_01B subtype to reduce the transmission of drug-resistant strains. However, improving the treatment effect of HIV infections is beneficial for reducing the second-generation transmission of HIV.
为研究合肥地区人类免疫缺陷病毒(HIV)治疗前耐药(PDR)和获得性耐药(ADR)的特征,采用横断面调查方法,收集了2017年至2020年新报告的HIV感染者的816份样本,以及2018年至2019年合肥地区病毒学治疗失败的HIV感染者的127份样本。使用斯坦福耐药数据库解读HIV耐药水平和耐药突变。通过HIV-TRACE构建分子网络。在合肥新报告的感染者中,PDR的流行率为6.4%(52/816)。耐药突变主要为V179E/D/T(12.4%)、K103N(1.3%)和V106I/M(1.3%)。此外,发现CRF55_01B亚型的耐药率高于其他亚型(p<0.05)。分子网络分析发现,K103N和V179E可能在CRF55_01B亚型的簇中传播。病毒学治疗失败的HIV感染者中ADR的流行率为38.6%(49/127),耐药突变主要为M184V(24.4%)、K103N/S(15.7%)、Y181C(11.0%)、G190S/A/E(10.2%)和V106M/I(10.2%)。通过将病毒学治疗失败的HIV感染者和新报告的感染者相结合构建分子网络;M184V和Y181C可能在它们之间传播。卡方趋势检验结果表明,病毒载量水平越高,分子网络中新报告的感染者与病毒学治疗失败的感染者之间的关联数量就越多。总之,干预措施应侧重于CRF55_01B亚型的感染,以减少耐药菌株的传播。然而,提高HIV感染的治疗效果有利于减少HIV的二代传播。