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2018 - 2022年中国河北省新诊断的HIV - 1感染中对整合酶抑制剂、蛋白酶和逆转录酶抑制剂的耐药突变

Drug resistance mutations to integrase inhibitors, proteinase, and reverse transcriptase inhibitors in newly diagnosed HIV-1 infections in Hebei province, China, 2018-2022.

作者信息

Lu Xinli, Li Yan, Liu Meng, Wang Yingying, An Ning, Sun Dandan, Li Qi

机构信息

Department of AIDS Research, Hebei Key Laboratory of Pathogen and Epidemiology of Infectious Disease, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei, China.

出版信息

Front Cell Infect Microbiol. 2025 Feb 24;15:1510916. doi: 10.3389/fcimb.2025.1510916. eCollection 2025.

Abstract

BACKGROUND

HIV-1 protease (PR)-reverse transcriptase (RT) inhibitors as national free antiretroviral drugs have been used for 20 years. Integrase strand transfer inhibitors (INSTIs) have been conditionally used as a component of HIV/AIDS treatment regimens in recent years. However, the systematic investigation on the changes in primary drug resistance (PDR) in Hebei province, China was limited.

METHODS

A continuous cross-sectional investigation on HIV-1 PDR was conducted, integrating detection of drug resistance genotype, molecular network, and statistical analysis.

RESULTS

The overall prevalence of PDR was 8.3%, with 77 of 925 samples showing different levels of resistance to INSTIs (1.9%), protease inhibitors (PIs, 0.2%), nucleoside reverse transcriptase inhibitors (NRTIs, 1.2%), and non-NRTIs (NNRTIs, 5.2%). In the PR-RT gene coding region, E138EK/G was the most common (1.6%), followed by K103N (1.4%), G190GE/A/S (0.6%), K101E (0.5%), A98G (0.4%), and T215I/TS (0.3%), associated with the low- to high-level resistance to doravirine (DOR), efavirenz (EFV), etravirine (ETR), nevirapine (NVP), rilpivirine (RPV), and zidovudine (AZT). In the INSTI gene coding region, six mutations were identified, namely, four major mutations (P145PS, Q148QH, Y143S, and T66A) and two accessory mutations (S153SF and G163GRS/EK). Of these mutations, the most frequent INSTI mutations were S153SF (0.6%) and G163GRS/EK (0.6%), followed by P145PS (0.2%), Y143S (0.2%), Q148QH (0.1%), and T66A (0.1%). G163GRS/EK, P145PS, Y143S, and T66A were associated with the resistance to elvitegravir (EVG) and raltegravir (RAL). S153SF and Q148QH were mainly related to the resistance to dolutegravir (DTG), bictegravir (BIC), and caboteravir (CAB). Furthermore, 30 resistant sequences were circulating in 16 transmission networks with HIV-1 DR mutations (DRMs), accounting for 62.5% of 77 total participants with DRMs. Multivariable analysis showed that those who had CRF07_BC had 1.79 times greater odds of PDR compared with participants with CRF01_AE. Compared to participants with volunteer blood donor, those with voluntary consultation and testing had 0.27 times greater odds of PDR.

CONCLUSIONS

The overall prevalence of HIV-1 PDR in Hebei is high, belonging to a moderate resistant level (5.0%-15.0%). It is necessary for us to strengthen the effective surveillance of PDR among treatment-naive patients, and we should adjust the treatment plan according to the results of PDR surveillance.

摘要

背景

作为国家免费抗逆转录病毒药物,HIV-1蛋白酶(PR)-逆转录酶(RT)抑制剂已使用20年。近年来,整合酶链转移抑制剂(INSTIs)已被有条件地用作艾滋病治疗方案的组成部分。然而,中国河北省对原发性耐药(PDR)变化的系统研究有限。

方法

对HIV-1 PDR进行连续横断面调查,整合耐药基因型检测、分子网络分析和统计分析。

结果

PDR总体患病率为8.3%,925份样本中有77份对INSTIs(1.9%)、蛋白酶抑制剂(PIs,0.2%)、核苷类逆转录酶抑制剂(NRTIs,1.2%)和非核苷类逆转录酶抑制剂(NNRTIs,5.2%)表现出不同程度的耐药。在PR-RT基因编码区,E138EK/G最常见(1.6%),其次是K103N(1.4%)、G190GE/A/S(0.6%)、K101E(0.5%)、A98G(0.4%)和T215I/TS(0.3%),与对多拉韦林(DOR)、依非韦伦(EFV)、依曲韦林(ETR)、奈韦拉平(NVP)、利匹韦林(RPV)和齐多夫定(AZT)的低至高水平耐药相关。在INSTI基因编码区,鉴定出6种突变,即4种主要突变(P145PS、Q148QH、Y143S和T66A)和2种辅助突变(S153SF和G163GRS/EK)。在这些突变中,最常见的INSTI突变是S153SF(0.6%)和G163GRS/EK(0.6%),其次是P145PS(0.2%)、Y143S(0.2%)、Q148QH(0.1%)和T66A(0.1%)。G163GRS/EK、P145PS、Y143S和T66A与对埃替格韦(EVG)和拉替拉韦(RAL)的耐药相关。S153SF和Q148QH主要与对多替拉韦(DTG)、比克替拉韦(BIC)和卡博特韦(CAB)的耐药相关。此外,30个耐药序列在16个具有HIV-1耐药突变(DRMs)的传播网络中传播,占77名DRMs参与者总数的62.5%。多变量分析显示,与CRF01_AE参与者相比,感染CRF07_BC的参与者发生PDR的几率高1.79倍。与无偿献血者相比,接受自愿咨询检测的参与者发生PDR的几率为0.27倍。

结论

河北省HIV-1 PDR总体患病率较高,属于中度耐药水平(5.0%-15.0%)。我们有必要加强对初治患者PDR的有效监测,并应根据PDR监测结果调整治疗方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319b/11891186/0300592df636/fcimb-15-1510916-g001.jpg

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