Volume 34 Issue 5
May  2021
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YIN Yue Qi, LU Jing, ZHOU Ying, SHI Ling En, YUAN De Fu, CHEN Jian Shuang, XUAN Yan, HU Hai Yang, ZHANG Zhi, XU Xiao Qin, FU Geng Feng, WANG Bei. Drug Resistance to HIV-1 Integrase Inhibitors among Treatment-naive Patients in Jiangsu, China[J]. Biomedical and Environmental Sciences, 2021, 34(5): 400-403. doi: 10.3967/bes2021.053
Citation: YIN Yue Qi, LU Jing, ZHOU Ying, SHI Ling En, YUAN De Fu, CHEN Jian Shuang, XUAN Yan, HU Hai Yang, ZHANG Zhi, XU Xiao Qin, FU Geng Feng, WANG Bei. Drug Resistance to HIV-1 Integrase Inhibitors among Treatment-naive Patients in Jiangsu, China[J]. Biomedical and Environmental Sciences, 2021, 34(5): 400-403. doi: 10.3967/bes2021.053

Drug Resistance to HIV-1 Integrase Inhibitors among Treatment-naive Patients in Jiangsu, China

doi: 10.3967/bes2021.053
Funds:  This study was supported by the Postgraduate Research&Practice Innovation Program of Jiangsu Province [KYCX17_0184] and Molecular Network Analysis and Social Network Exploration of HIV-1 Infection Transmission among Young Students in Jiangsu Province [0701-184160070478]
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  • Author Bio:

    YIN Yue Qi, female, born in 1992, PhD student, majoring in infectious diseases and molecular epidemiology

  • Corresponding author: FU Geng Feng, Tel: 86-25-83759327, E-mail: fugf@jscdc.cn; WANG Bei, Tel: 13901590174, E-mail: wangbeilxb@163.com
  • Received Date: 2020-07-08
  • Accepted Date: 2020-10-13
  • 加载中
  • [1] WHO. Update of recommendations on first- and second-line antiretroviral regimens. Geneva: WHO, 2019.
    [2] You JZ, Wang HR, Huang XJ, et al. Therapy-emergent drug resistance to integrase strand transfer inhibitors in HIV-1 patients: a subgroup meta-analysis of clinical trials. PLoS One, 2016; 11, e0160087. doi:  10.1371/journal.pone.0160087
    [3] Zuo LL, Liu K, Liu HL, et al. Trend of HIV-1 drug resistance in China: a systematic review and meta-analysis of data accumulated over 17 years (2001−2017). E Clin Med, 2020; 18, 100238. doi:  10.1016/j.eclinm.2019.100238
    [4] The Central People's Government of the People's Republic of China. Anhui province basic medical insurance drug list (implemented from January 1, 2020). http://www.audit.gov.cn/en/n751/index.html. [2020]. (In Chinese)
    [5] Hurt CB, Sebastian J, Hicks CB, et al. Resistance to HIV integrase strand transfer inhibitors among clinical specimens in the United States, 2009−2012. Clin Infect Dis, 2014; 58, 423−31. doi:  10.1093/cid/cit697
    [6] Liu LF, Dai LL, Yao J, et al. Lack of HIV-1 integrase inhibitor resistance among 392 antiretroviral-naive individuals in a tertiary care hospital in Beijing, China. AIDS, 2019; 33, 1945−7. doi:  10.1097/QAD.0000000000002282
    [7] Wensing AM, Calvez V, Ceccherini-Silberstein F, et al. 2019 update of the drug resistance mutations in HIV-1. Top Antivir Med, 2019; 27, 111−21.
    [8] Hassounah SA, Alikhani A, Oliveira M, et al. Antiviral activity of bictegravir and cabotegravir against integrase inhibitor-resistant SIVmac239 and HIV-1. Antimicrob Agents Chemother, 2017; 61, e01695−17.
    [9] Kobayashi M, Yoshinaga T, Seki T, et al. In vitro antiretroviral properties of S/GSK1349572, a next-generation HIV integrase inhibitor. Antimicrob Agents Chemother, 2011; 55, 813−21. doi:  10.1128/AAC.01209-10
    [10] WHO. Guidelines on the public health response to pretreatment HIV drug resistance: July 2017. Geneva: WHO, 2017.
    [11] Hurt CB. Transmitted resistance to HIV integrase strand-transfer inhibitors: right on schedule. Antivir Ther, 2011; 16, 137−40. doi:  10.3851/IMP1750
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Drug Resistance to HIV-1 Integrase Inhibitors among Treatment-naive Patients in Jiangsu, China

doi: 10.3967/bes2021.053
Funds:  This study was supported by the Postgraduate Research&Practice Innovation Program of Jiangsu Province [KYCX17_0184] and Molecular Network Analysis and Social Network Exploration of HIV-1 Infection Transmission among Young Students in Jiangsu Province [0701-184160070478]
YIN Yue Qi, LU Jing, ZHOU Ying, SHI Ling En, YUAN De Fu, CHEN Jian Shuang, XUAN Yan, HU Hai Yang, ZHANG Zhi, XU Xiao Qin, FU Geng Feng, WANG Bei. Drug Resistance to HIV-1 Integrase Inhibitors among Treatment-naive Patients in Jiangsu, China[J]. Biomedical and Environmental Sciences, 2021, 34(5): 400-403. doi: 10.3967/bes2021.053
Citation: YIN Yue Qi, LU Jing, ZHOU Ying, SHI Ling En, YUAN De Fu, CHEN Jian Shuang, XUAN Yan, HU Hai Yang, ZHANG Zhi, XU Xiao Qin, FU Geng Feng, WANG Bei. Drug Resistance to HIV-1 Integrase Inhibitors among Treatment-naive Patients in Jiangsu, China[J]. Biomedical and Environmental Sciences, 2021, 34(5): 400-403. doi: 10.3967/bes2021.053
  • Integrase strand transfer inhibitors (InSTIs) have been widely used in recent years because of their high genetic barrier to resistance. The World Health Organization (WHO) has recommended dolutegravir (DTG)-containing regimens as the preferred first- and second-line antiretroviral therapy (ART) regimens for people living with human immunodeficiency virus (HIV)[1]. During the long-term treatment process, the appearance of drug resistance mutations to InSTIs is inevitable. A meta-analysis has shown that the resistance rate among InSTI treatment-experienced patients is 3.9% (Raltegravir, RAL), 1.2% (Elvitegravir, EVG), and 0.1% (DTG)[2]. However, resistance to InSTIs has not been reported in treatment-naive populations.

    In China, the government highly values the prevention and treatment of HIV/acquired immunodeficiency syndrome (AIDS) and the “Four Free and One Care” policy was announced in and has been implemented since 2003. There are eight kinds of drug on the free list; for example, the standard first-line strategy for treatment-naïve adults and teenagers, tenofovir/zidovudine + lamivudine + efavirenz/nevirapine [two nucleoside reverse-transcriptase inhibitors (NRTIs) + one non-nucleoside reverse-transcriptase inhibitor (NNRTI)], has been used for more than 10 years. Another meta-analysis has shown that, in China, the prevalence of acquired drug resistance (ADR) is 44.7%, which includes 31.4% NRTI, 39.5% NNRTI, and 1.0% protease inhibitor (PI) resistance; that of transmitted drug resistance (TDR) is 3.0%, which includes 0.7% NRTI, 1.4% NNRTI, and 0.5% PI resistance[3]. Considering the high drug resistance rate observed under the current treatment strategy, the InSTI-containing strategy seems to be an alternative choice for HIV treatment. The Chinese Food and Drug Administration has approved the use of RAL, DTG, and fixed-dose combinations. Although no InSTIs have been included in the free drug list in China, InSTI-containing regimens will likely be used to treat patients infected with HIV in the future.

    In China, new recommended drugs are usually included in the medical insurance reimbursement catalog. Although providing free InSTIs for HIV/AIDS treatment is not possible, there is the possibility to include InSTIs in the medical insurance reimbursement drug list. In March 2019, Anhui, the neighborhood of Jiangsu province, was the first province in the country to include InSTIs (including DTG and RAL) into provincial medical insurance[4], which greatly reduced the economic burden of patients with HIV/AIDS. However, using InSTIs also increased the economic burden of local government and used a lot of public health resources. Thus, the necessity and effectiveness of using InSTIs should be considered locally.

    The pol gene of HIV contains three essential enzymes for its replication, reverse transcriptase (RT), protease (PR), and integrase (IN). A previous study has shown that patients with IN-resistant viruses are more likely to have PR-RT mutations than those without an IN-resistant infection[5]. Considering the limited use of InSTIs in China and the association between IN and PR-RT, we believe that IN-resistance mutations are more likely to be observed in samples carrying PR-RT mutations than in those without PR-RT mutations. There has not been large-scale InSTI use in patients with HIV in Jiangsu province and the baseline level of InSTI resistance is unclear. To provide scientific suggestions about InSTI use in Jiangsu province, we characterized the current situation of InSTI resistance among treatment-naïve (with PR-PT mutations) individuals in Jiangsu province.

    According to the“Workshop on HIV Surveillance and Molecular Epidemiology Research” (http://ncaids.chinacdc.cn/fzyw_10256/gzjz_10269/201804/t20180419_164136.htm) hosted by the National Center for AIDS/STD Control and Prevention, China Center for Disease Control and Prevention (CDC) in 2017, national-scale HIV molecular epidemiology research has begun. Since then, samples of newly diagnosed HIV infections from 13 cities in Jiangsu province have been sent to Jiangsu Provincial CDC. Previously, RT-PR genotypic resistance tests (GRT) were conducted from June 2017 to December 2018 and 252 samples contained RT-PR resistance mutations, according to the Stanford University HIV Drug Resistance Database 8.8 algorithm (Stanford HIVdb). Additionally, the demographic and HIV-related information of each patient was collected at the sample time. This work was approved by the ethical review board of the National Center for AIDS/STD Control and Prevention (Project No. X140617334). Based on this preliminary work, we performed IN GRT on the 252 samples to identify InSTI resistance mutations.

    RNA was extracted from 140 μL of plasma using a QIAamp Viral RNA Mini Kit (Qiagen, GmbH, Hilden, Germany). Then, RNA was reverse transcribed into cDNA using SuperScript III Reverse Transcriptase (Invitrogen, Carlsbad, CA, USA) according to the manufacturer’s instructions. The process of IN gene sequence amplification was executed following a previously described protocol[6]. The targeted fragments included the first 263 amino acid positions of the IN gene (HXB2: 4227-5018). To detect possible contamination, a negative control was set every 15 samples. The positive PCR products were sequenced by Sangon Biotech (Shanghai, China). The quality of IN sequences was assessed using the Quality Control tool (https://www.hiv.lanl.gov/) and the HIV-1 subtypes and circulating recombinant forms (CRFs) were determined using the COMET online tool (http://comet.retrovirology.lu).

    All mutations reported in the International AIDS Society list (updated in 2019)[7] and Stanford HIVdb 8.9-1 version were considered as InSTIs mutations. The estimated level of drug resistance was determined using the scores in Stanford HIVdb. The relationship between the total score and level was as follows: (1) 0 to 9, susceptible; (2) 10 to 14, potential low-level resistance; (3) 15 to 29, low-level resistance; (4) 30 to 59, intermediate resistance; and (5) ≥ 60, high-level resistance (https://hivdb.stanford.edu/page/release-notes#resistance.summary). A phylogenetic tree was created using the neighbor-joining method with 1,000 replicates and the international reference strains were downloaded from the Los Alamos HIV Sequence Database (https://www.hiv.lanl.gov/).

    In total, 240 IN sequences successfully amplified and sequenced, with a success rate of 95.2% (240/252). The geographic information of 240 patients is shown in Table 1. The mean age of the subjects was 39.0 years, with a median CD4+ T cell count of 268.0 cells/μL. Using the 240 IN sequences, we identified 10 subtypes, including CRF01_AE (35.0%), CRF07_BC (20.4%), B (12.5%), CRF08_BC (10.4%), CRF68_01B (6.7%), CRF55_01B (4.6%), 0107 (4.6%), CRF67_01B (2.5%), C (1.7%), CRF02_AG (0.4%) and 3 unknown sequences.

    Itemsn%
    Sex
     Male20987.1
     Female3112.9
    Area
     South Jiangsu18175.4
     Center Jiangsu239.6
     North Jiangsu3615.0
    Nation
     Han23799.2
     Others30.8
    Education
     Primary education3514.6
     Junior school8635.8
     High school5221.7
     Colleges or Universities6727.9
    Transmission way
     Heterosexual transmission13054.1
     Homosexual transmission10744.6
     Others31.3
    Sampling year
     20177330.4
     201816769.6
    Subtype
     CRF01_AE8435.0
     CRF07_BC4920.4
     B3012.5
     CRF08_BC2510.4
     CRF68_01B166.7
     CRF55_01B114.6
     CRF_0107114.6
     CRF67_01B62.5
     Unknown31.2
     C41.7
     CRF02_AG10.4

    Table 1.  The geographic information of 240 subjects

    Drug resistance analysis showed that 30 sequences contained IN-related mutations; 4 of 30 harbored IN major resistance mutations and the drug resistance rate of InSTIs was 1.7% (4/240). Information on these four subjects is listed in Table 2. According to the historical medical records and supplemental medication survey, there was no evidence that the four patients were exposed to any InSTIs. Three IN major resistance mutations (E138A, E138T, and R263K) were identified; E138A and E138T mutations can cause low-level resistance to EVG and RAL and the R263K mutation can cause intermediate resistance to bictegravir, DTG, and EVG and low-level resistance to RAL. Additionally, three IN accessory resistance mutations (A128T, V151I, and E157Q) were detected in the samples. E157Q appears to have little effect on InSTI susceptibility, whereas A128T and V151I have no effect. L74M/I (9.6%, 23/240) were the most frequent mutations observed in our study. Although alone these mutations have a minimal effect, when both are present they reduce susceptibility to each InSTI and cause major InSTI-resistance. The drug resistance mutations and corresponding subtypes were marked in the phylogenetic tree of the IN sequences (Figure 1). Detailed information on drug resistance mutations among the 30 sequences is shown in Supplementary Table S1 (available in www.besjournal.com) and mutations in PR-RT are included. No obvious relationship to drug resistance mutations was observed between IN and PR-RT in this study.

    Sample IDIN major mutationsAgeWay of spreadGenderSubtypeCD4Level of drug resistance
    BICDTGEVGRAL
    q_nj64R263K62HSTmaleB69MMML
    r_lyg42E138A16HSTfemaleB1,106SSLL
    r_sz140R263K33HSTmaleC160MMML
    r_yc88E138T60MSMmaleB828SSLL
      Note. HST: Heterosexual transmission, MSM: the men who have sex with men; S: Susceptible, L: Low-Level Resistance, M: Intermediate Resistance, H: High-Level Resistance; BIC: bictegravir, DTG: dolutegravir, EVG: Elvitegravir, RAL: Raltegravir.

    Table 2.  The information of samples who were detected with IN major resistance mutations

    Figure 1.  HIV-1 integrase phylogenetic analysis inferred by neighbor-Joining (NJ). There were 240 IN sequences and 28 international reference sequences included in the NJ-tree. Subtype O was outgroup. Bootstrapping was performed with 1,000 replicates; values of more than 70% are shown. Circle marks the sequences with IN-related mutations. Colorful lines distinguish the different subtypes.

    Sequences
    ID
    IN GENEProtease GENEReverse Transcriptase GENE
    Major
    mutations
    Accessory
    mutations
    Other
    mutations
    resistance
    to INSTIs
    PRresistance
    to PIs
    NRTIresistance
    to NRTI
    NNRTIresistance
    to NNRTI
    q_lyg23L74IV106M,
    V179D
    DOR(M), EFV(H), NVP(H)
    q_nj179L74IT215SAZT(L), D4T(L)
    q_nj23L74IT215AAZT(L), D4T(L)
    q_nj64R236KBIC(L), DTG(L), EVG(L)V108IDOR(L), NVP(L)
    q_sz245L74IK20TNFV(L)
    q_sz48L74IT215SAZT(L), D4T(L)K101H,
    G190A
    EFV(M), ETR(L), NVP(H), RPV(L)
    q_sz85V151IV106I
    q_tz51L74MV179VDEFV(M), NVP(M), RPV(L)
    q_wx32E157QE138G,
    V179E
    EFV(M), ETR(M), NVP(M), RPV(M)
    q_yc104L74IM184IABC(L), FTC(H), 3TC(H)V106M,
    V179D
    DOR(M), EFV(H), NVP(H)
    q_yz27A128TK103SEFV(M), NVP(H)
    r_lyg39L74IL100Deletion,
    K103Deletion
    DOR(L), EFV(H), ETR(M), NVP(H), RPV(H)
    r_lyg42E138AEVG(L), RAL(L)K103NEFV(H), NVP(H)
    r_nj223L74MV106I
    r_nj245L74IV106I
    r_nt27L74IK101EDOR(L), EFV(L), ETR(L), NVP(M)
    r_nt302L74IE138GRPV(L)
    r_nt310L74IY181CEFV(M), ETR(M), NVP(H), RPV(M)
    r_sz140R236KBIC(L), DTG(L), EVG(L)E138ARPV(L)
    r_wx188L74MA98GDOR(L), EFV(L), NVP(M), RPV(L)
    r_wx193L74IE138G, V179EEFV(L), ETR(L), NVP(L), RPV(L)
    r_wx60L74MK103NEFV(H), NVP(H)
    r_wx64L74IQ58ETPV(L)
    r_yc213L74MM46LNFV(L)M184PV179E
    r_yc23L74IV106I
    r_yc75L74IK70RAZT(M), D4T(L)K103N, V108IDOR(L), EFV(H), NVP(H)
    r_yc88E138TEVG(L), RAL(L)V106I
    r_yz161L74MV106M, V179DDOR(M), EFV(H), NVP(H)
    r_yz87L74IM46INFV(M)A62V
    r_yz91L74IM46INFV(M)A62V
      Note. the level of drug resistance extend were marked inside the “()”, “L” means low-level, “M” means intermedium-level, and “H” means high level. RT, reverse transcriptase. PR, protease. IN, integrase.

    Table S1.  Detailed information of drug resistance mutations among 30 sequences

    R263K confers very low-level resistance to DTG in site-directed mutagenesis analysis[8] and it is rare in ART-naïve patients. E138A/K reduce DTG/RAL susceptibility in combination with many other mutations[9], whereas they do not reduce InSTI susceptibility alone. The major IN-related resistance mutations detected in this study had little effect on the efficiency of DTG/RAL, which suggested that InSTI-containing treatment strategies have exerted curative effects on HIV in Jiangsu province.

    The prevention of, monitoring of, and timely response to population levels of HIV drug resistance are critical to achieving the 90-90-90 targets. However, we do not think that a drug resistance rate of 1.7% to InSTIs justifies baseline drug resistance testing for all patients who initiate InSTI regimens in Jiangsu province. Based on the experience with NNRTIs, the WHO only recommends baseline testing (or switching to different 1st line regimens) when the pretreatment drug resistance is > 10.0%[10]. A previous study reported that drug resistance emerges after at least 3–5 years in IN-TDR cases[11]. Currently, InSTIs have not been used on a large-scale in Jiangsu province. With limited public health resources, more favorable work could be fulfilled, such as including InSTIs in medical insurance.

    This study had some limitations. We only tested the IN sequences among samples that had already been tested for resistance mutations in PR-RT gene regions, instead of all treatment-naïve patients in Jiangsu province. Thus, bias existed because the resistance mutations between PR-RT and IN have the same association; samples tested with resistance mutations in the IN gene were more likely to be detected with PR-RT resistance. Therefore, the prevalence of InSTIs may be overestimated.

    In summary, we identified major IN mutations and other related mutations among treatment-naive patients in Jiangsu, China. The results showed that the mutations had little effect on drug resistance, which indicated the effectiveness and applicability of InSTIs in Jiangsu province. InSTI baseline drug resistance testing should not be recommended until InSTIs have been used on a large-scale in local areas or virological failure emerges. We emphasize that limited public resources should be utilized rationally.

    Authors’ Contributions LU J, WANG B, and FU G conceived and designed the study. YIN Y, ZHOU Y, and SHI L obtained and administered the database. YIN Y, YUAN D, and CHEN J performed the laboratory work. HU H, ZHANG Z, and XU X performed the analyses and YIN Y and LU J interpreted them. YIN Y drafted the manuscript and all authors critically reviewed it. The final version was approved by all authors.

    Conflicts of Interest No competing financial interests exist.

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