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Genetic characterization of HIV-1 viruses among cases with antiretroviral therapy failure in Suzhou City, China



This retrospective study aimed to characterize the distribution of HIV-1 genotypes and the prevalence of drug resistance mutations in people with antiretroviral treatment (ART) failure in Suzhou City, China.


Pol gene of HIV-1 viruses in blood samples of EDTA anticoagulants from 398 patients with failed antiviral treatment was successfully amplified by using an in-house assay. Drug resistance mutations were analyzed by using the Stanford HIV Drug Resistance Database system ( HIV-1 genotypes were determined by the REGA HIV subtyping tool (version 3.46, Near full-length genomes (NFLG) of HIV-1 viruses were obtained by next generation sequencing method.


Sequences analysis of the pol gene revealed that CRF 01_AE (57.29%, 228/398) was the dominant subtype circulating in Suzhou City, followed by CRF 07_BC (17.34%, 69/398), subtype B (7.54%, 30/398), CRF 08_BC (6.53%, 26/398), CRF 67_01B (3.02%, 12/398) and CRF55_01B (2.51%, 10/398). The overall prevalence of drug-resistant mutations in cases with ART failure was 64.57% (257/398), including 45.48% (181/398) for nucleotide reverse transcriptase inhibitors (NRTIs) mutations, 63.32% (252/398) for non-nucleoside reverse transcriptase inhibitors (NNRTIs) mutations, and 3.02% (12/398) for protease inhibitors (PIs) mutations. Ten near full-length genomes (NFLG) of HIV-1 viruses were identified, including six recombinants of CRF 01_AE and subtype B, two recombinants of CRF 01_AE, subtype B and subtype C sequences, one recombinant of CRF 01_AE and subtype C and one recombinant of CRF 01_AE, subtype A1 and subtype C.


The high prevalence of drug-resistant HIV-1 viruses was a serious challenge for HIV prevention and treatment of people with HIV infection. Treatment regimens for ART failure patients should be adjusted over time based on the outcome of drug resistance tests. NFLG sequencing facilitates the identification of new recombinants of HIV-1.


Human immunodeficiency virus (HIV) is a type of retrovirus that attacks T-helper cells of the human immune system and can cause acquired immunodeficiency syndrome (AIDS) [1]. Since HIV first emerged in the United States in 1981, the virus has spread worldwide and has become one of the most terrible health threats to humanity [2]. HIV-1 is the most common type circulating worldwide, while HIV-2 is prevalent in West Africa [3, 4]. HIV-1 strains can be further divided into four subgroups: M, O, N, and P [5]. The M group, accounted for the vast majority of the global epidemic, can be further classified into multiple subtypes (A, B, C, D, F, G, H, J and K) and many Circulation Recombinant Forms (CRFs) [6,7,8]. As we all know, highly active antiretroviral therapy (HAART) can help to reduce the viral load of HIV, maintain the immunity of patients, depress the incidence and mortality of AIDS [9, 10]. However, the risk of HIV drug resistance also increases with long-term use of antiviral therapy. The emergence and spread of drug-resistant mutants have not only result in failure of treatment, but also cause waste of public medical resources and seriously endangering public health safety, especially in developing countries [11]. Surveillance of drug resistance mutations can serve as a reference for the formulation of highly active antiretroviral therapy (HAART) treatment programmes.

Suzhou City suffers greatly from HIV infection. Since the first case of HIV infection was identified in Suzhou City in 1992, the number of confirmed HIV/AIDS cases has increased annually. Former HIV-infected people have progressively entered the onset phase of AIDS, and the number of AIDS-related deaths is on the rise. With the proliferation of drug-resistant strains, the situation of prevention and control of HIV infections is becoming increasingly serious in Suzhou City. However research on drug-resistant mutations in the HIV subtypes/CRFs is rare in Suzhou City. To clarify the questions, we identified and analyzed the pol gene sequences of HIV viruses from patients receiving ART for more than 1 year. Besides, we sequenced and characterized 10 near full-length genomes of HIV-1 recombinants.

Material and methods

RNA extraction and Sanger sequencing

Viral RNA was extracted from 200 µl plasma sample following the instructions of the MagNA Pure Compact Nucleic Acid Isolation Kit I (Roche, Switzerland). The partial pol gene fragment of HIV-1 virus was amplified by using in-house polymerase chain reaction (PCR) method as described previously [12, 13]. SuperScript™ III One-Step RT-PCR System with Platinum™ Taq DNA Polymerase (Invitrogen, USA) was used for reverse transcription reaction and first round PCR. The second round of PCR amplification was performed using Premix Ex Taq™ Version 2.0 (Takara, Japan) with a total volume of 50 µl. The length of the amplified product was 1.3 kb (HXB2:2147 to 3462), including the full length of the protease (PR) gene (1–99 codon) and the first 300 amino acids (1–300 codon) of the reverse transcriptase (RT) gene. The sequences of pol gene fragments were obtained by Sanger sequencing method.

Genomes amplified and NGS

The near full-length genomes of recombinant forms of HIV-1 were amplified using the methods described previously [14, 15]. We mixed all amplified products of the same sample in one tube. The combined PCR products were purified by using AMPure XP purification beads. Nextera DNA Sample Prep Kit (Illumina, USA) was used for sequencing libraries prepared. Next generation sequencing (NGS) was performed on iseq platform by using i1 V2 300 cycles reagent kit (Illumina, USA).

Sequence analysis

The Los Alamos National Laboratory HIV Sequence Database ( and REGA HIV subtyping tool (version 3.46, were used for determining genotypes of HIV-1 viruses. The suspected new recombinant strains were submitted to Jumping Profile Hidden Markov Model (jpHMM-HIV) software ( The Stanford HIV Drug Resistance Database system ( was used to analyze resistance-related mutations and resistance levels by comparing with the sequence of wild type and drug resistant strains. Neighbor-joining (N-J) tree of the near full-length genomes of HIV-1 viruses was constructed by using MEGA 7.0 software with 1000 bootstrap replicates.


Characteristic of subjects

From 2017 to 2020, 450 people living with HIV who have received antiviral therapy for more than 1 year were confirmed to be ineffective (viral load ≥ 1000 copies/ml) in Suzhou city. Among these ART failure patients, a total of 398 viral pol gene sequences were successfully sequenced. Epidemiological features of cases with ART failure in this study were summarized in Table 1. There was no significant difference in sex composition ratio, subtype distribution or viral load between group 2017–2018 and group 2019–2020. Males and females accounted for 92.96% (370/398) and 7.04% (28/398), respectively. A variety of HIV-1 virus circulating recombinant forms (CRFs) were prevalent in Suzhou City. The dominant subtype was CRF01_AE (57.29%, 228/398), followed by CRF07_BC (17.34%, 69/398), subtype B (7.54%, 30/398) and CRF08_BC (6.53%, 26/398). Other subtypes mainly included subtype CRF67_01B (3.02%, 12/398), CRF55_01B (2.51%, 10/398) and other CRFs (6.03%, 24/398). Among those who failed in antiviral treatment, the proportion of HIV-1 viral load in the range of 5000–100,000 copies/ml was the largest, accounting for 62.56% (249/398).

Table 1 The features of subjects receiving drug-resistance mutation detection in Suzhou City

Drug-resistance mutations

According to the analysis of HIVdb Program, 257 strains were resistant to at least one drug of NRTIs, NNRTIs, or PIs, with an overall resistant rate of 64.57% (257/398). Frequency of drug-resistance associated mutations among cases with ART failure was shown in Fig. 1. The drug resistant mutations associated with NRTIs, NNRTIs, and PIs were 45.48% (181/398), 63.32% (252/398) and 3.02% (12/398), respectively. Among the PIs resistant HIV strains, four strains possessed PI-related major mutations (M46I/L, I54V, V82F) and the other 8 viruses had 3 accessory mutations (L33, FL10F and Q58E) in PR region. Respectively, 17 and 16 loci in RT region were found emerging NRTIs and NNRTIs resistance-associated substitutes. M184V/I (40.70%, 162/398), D67N/G /S/H (13.82%, 55/398) and K65R/N (12.81%, 51/398) were the three most common resistance-related mutations regarding to NRTIs, while V106M/I/A (21.86%, 87/398), K103N/S (21.11%, 84/398), V179D/E/T/L (20.35%, 81/398), G190A/S/Q/V/E (16.58%, 66/398) and Y181C/V/I (15.58%, 62/398) were the first five mutations associated with NNRTIs-resistance.

Fig. 1
figure 1

Frequency of drug-resistance mutations among cases with ART failure

Resistance level to antiviral drugs

We analyzed the effects of mutations on drug resistance based on Stanford University HIV drug resistance database ( No other HIV strains with high-level resistance to PIs were detected except 2020-SZ-83050 strain. Three samples (2017-SZ-08303, 2018-SZ-08066 and 2020-XC-00107) with M46I/L mutation were resistant to ATV, FPV, IDV, LPV, NFV and SQV at a potential low level or intermediate. Besides, six samples were simultaneously resistant to FPV, NFV and TPV at a potential low level caused by L33F mutation, and one sample with L10LF mutation was resistant to NFV and FPV at low level. Resistance levels of different drugs among ART failure individuals were shown in Fig. 2. For NRTIs, the resistant frequency to ABC, AZT, D4T, DDI, FTC, 3TC and TDF were 45.48% (181/398), 15.08% (60/398), 31.66% (126/398), 45.98% (183/398), 45.23% (180/398), 45.23% (180/398) and 28.14% (112/398), respectively. The high-level of NNRTIs associated resistance was accounting for 20.10% (80/398), 51.26% (204/398), 56.28% (224/398), 5.28% (21/398), and 21.86% (87/398) for DOR, EFV, NVP, ETR, and RPV, respectively.

Fig. 2
figure 2

Resistance level of different drugs among cases with ART failure

Analyses of NFLG sequences

Ten near full-length HIV-1 genomes (NFLG) covering from gag to nef genes were obtained by using next-generation sequencing (NGS). The Neighbor-joining phylogenetic tree of NFLG of HIV-1 viruses was shown in Fig. 3. According to the results of jpHMM-HIV software (Fig. 4), six sequences (2017SZ-83245, 2017SZ-0319, 2017SZ-1093, 2017SZ-1942, 2020SZ-83068 and 2020SZ-83463) were classified as recombinants of CRF 01_AE and subtype B. They were also supported by phylogenetic analysis (Fig. 3), because these sequences were closer to CRF 01_AE than subtype B. They were inter-subtype of small fragments of subtype B inserted in CRF 01_AE gene sequence, but the recombination breakpoints of every sample were different (Fig. 4). 2017SZ-703 and 2017SZ-1982 were identified as recombinants of CRF 01_AE, subtype B and subtype C. Sequences 2017SZ-703 and 2017SZ-1982 were closer to C subtype than others, indicating that they were recombinant viruses with subtype C virus as the backbone while CRF 01_AE and subtype B gene fragments as internal insertions. 2017SZ-0981 and 2020-SZXQ-256 sequences were recombinants of CRF 01_AE and subtype C.

Fig. 3
figure 3

The Neighbor-joining phylogenetic tree of 10 near full-length genomes of Suzhou HIV-1 recombinant viruses. Uncolored labels represent Suzhou HIV-1 viruses

Fig. 4
figure 4

Recombinant analysis of 10 near full-length genomes of HIV-1 viruses in Suzhou City, China


With the increasing number of patients receiving antiviral treatment and the lengthening of antiviral treatment time, the risk of drug-resistant mutations will also increase and eventually lead to treatment failure. The viral load in people receiving treatment is high, suggesting that there is a potential for drug resistance [16]. Besides, HIV viruses, which were sensitive to ART, could be converted to drug-resistant strains under the influence of body immunity, drug selection pressure and other factors, such as poor compliance and incorrect drug dose [17, 18]. Studies have shown that some resistance-related substitutions will make the HIV-1 virus resistant to multiple drugs and increase the risk of spread to others [19]. HIV-1 viruses did not possess the drug resistant-related amino acids indicating that these strains probably exhibit sensitivity to corresponding drugs. However, among all the identified strains, 3.02%, 45.48% and 63.32% HIV-1 viruses were confirmed resistance to PIs, NRTIs and NNRTIs. The drug resistance rates of NRTIs and NNRTIs were similar to previous studies in other countries [18, 20]. For example, the resistance rates of NRTIs and NNRTIs were 83.0% and 88.7% among treatment failures in Philippines. The regimen consisted of TDF/AZT, 3TC and EFV/NVP is currently the most common acquired free first-line treatment in China. Unfortunately, 28.14%/15.08%, 45.23%, 51.26%/56.28% of HIV-1 virus strains have a certain degree of resistance to the above drugs, respectively. The high prevalence of drug-resistant HIV may lead to treatment failure and further spread, which will be detrimental to epidemic control. It is necessary to carry out drug resistance testing in time and adjust the treatment plan according to the results.

The distribution of HIV subtypes varies considerably across regions [5]. In this study, at least 8 subtypes/CRFs were identified. The subtypes/CRFs distribution of HIV-1 in Suzhou City is similar to that in other areas according to previous studies [21,22,23,24], with CRF01_AE accounting for the majority, followed by CRF07_BC, subtype B and other subtypes. However, some other surveys in China showed different results, such as that in Yunnan province [25] and Minority Area [26]. Besides, it was also different from that in Sierra Leone, Africa [27] or Florida, American [28], with CRF 02_AG and subtype B as the most common genotype, respectively. The HIV virus may benefit from the M46I, L33F and L10F substitutions, which can improve its resistance to PIs. In this study, V106M/I/A, K103N and V179D/E/T/L were the first three common mutations associated with NNRTIs resistance while M184V/I, D67N/G/S/H and K65R/N were the first three common mutations associated with NRTIs. These mutations were also high-frequency reported previous literatures [18, 29,30,31].

The probable emergence and spread of novel resistant strains deserve great attention. If viral genomes were recombinant and diverse, they could not be completely characterize using partial genomic sequences. Full genome sequencing can be used to confirm recombinants when viruses typing were unclassified or the results of different gene segments were inconsistent. A number of new HIV recombinants have been reported by near-full-length genome sequencing [32,33,34,35]. In this study, 12 recombinants were confirmed by performing full genome sequencing. All recombinant strains contained CRF 01_AE gene fragments. This may be related to the high prevalence of CRF 01_AE in the local area.

In conclusion, because of the severity and high fatality rate of HIV infections, the prevalence of drug resistant mutations HIV has aroused widespread social concern and posed a threat to public health. It is necessary to continuously monitor CD4+ T cell counts, viral load and drug-resistance mutations in order to timely adjust the medication regimen during antiviral therapy. The characteristics of genotypes and drug-resistance of the HIV-1 virus in Suzhou City were preliminary described in this study, but more and in-depth researches are required to provide more accurate scientific basis for HIV-infected prevention and control.

Availability of data and materials

The epidemiological data and pol gene sequences of this article are available in the drug resistance database of the National Center for AIDS/STD Disease Control and Prevention, China CDC.


  1. Fenwick C, Joo V, Jacquier P, Noto A, Banga R, Perreau M, Pantaleo G. T-cell exhaustion in HIV infection. Immunol Rev. 2019;292:149–63.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Del Rio C. The global HIV epidemic: what the pathologist needs to know. Semin Diagn Pathol. 2017;34:314–7.

    Article  PubMed  PubMed Central  Google Scholar 

  3. van Tienen C, van der Loeff MS, Zaman SMA, Vincent T, Sarge-Njie R, Peterson I, et al. Two distinct epidemics: the rise of HIV-1 and decline of HIV-2 infection between 1990 and 2007 in rural Guinea-Bissau. J Acquir Immune Defic Syndr. 2010;53:640–7.

    Article  PubMed  Google Scholar 

  4. van Tienen C, van der Loeff MS. Epidemiology of HIV-2 infection in West Africa. In: Hope TJ, Stevenson M, Richman D, editors. Encyclopedia of AIDS. New York: Springer; 2016. p. 1–11.

    Chapter  Google Scholar 

  5. Bbosa N, Kaleebu P, Ssemwanga D. HIV subtype diversity worldwide. Curr Opin HIV AIDS. 2019;14:153–60.

    Article  PubMed  Google Scholar 

  6. Hemelaar J, Elangovan R, Yun J, Dickson-Tetteh L, Fleminger I, Kirtley S, et al. Global and regional molecular epidemiology of HIV-1, 1990–2015: a systematic review, global survey, and trend analysis. Lancet Infect Dis. 2019;19:143–55.

    Article  PubMed  Google Scholar 

  7. Sharp PM, Hahn BH. Origins of HIV and the AIDS pandemic. Cold Spring Harb Perspect Med. 2011;1:a006841.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Tongo M, Dorfman JR, Martin DP. High degree of HIV-1 Group M (HIV-1M) genetic diversity within circulating recombinant forms: insight into the early events of HIV-1M evolution. J Virol. 2015;90:2221–9.

    Article  CAS  PubMed  Google Scholar 

  9. Peter T, Ellenberger D, Kim AA, Boeras D, Messele T, Roberts T, et al. Early antiretroviral therapy initiation: access and equity of viral load testing for HIV treatment monitoring. Lancet Infect Dis. 2017;17:e26–9.

    Article  PubMed  Google Scholar 

  10. Jones J, Sullivan PS, Curran JW. Progress in the HIV epidemic: identifying goals and measuring success. PLoS Med. 2019;16:e1002729.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Hamers RL, Rinke de Wit TF, Holmes CB. HIV drug resistance in low-income and middle-income countries. Lancet HIV. 2018;5:e588–96.

    Article  PubMed  Google Scholar 

  12. Xuan Q, Liang S, Qin W, Yang S, Zhang A-M, Zhao T, et al. High prevalence of HIV-1 transmitted drug resistance among therapy-naïve Burmese entering travelers at Dehong ports in Yunnan, China. BMC Infect Dis. 2018;18:211.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Lu X, Zhao H, Zhang Y, Wang W, Zhao C, Li Y, et al. HIV-1 drug-resistant mutations and related risk factors among HIV-1-positive individuals experiencing treatment failure in Hebei Province, China. AIDS Res Ther. 2017;14:4.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Ode H, Matsuda M, Matsuoka K, Hachiya A, Hattori J, Kito Y, et al. Quasispecies analyses of the HIV-1 near-full-length genome with illumina MiSeq. Front Microbiol. 2015;6:1258.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Grossmann S, Nowak P, Neogi U. Subtype-independent near full-length HIV-1 genome sequencing and assembly to be used in large molecular epidemiological studies and clinical management. J Int AIDS Soc. 2015;18:20035.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Bandera A, Gori A, Clerici M, Sironi M. Phylogenies in ART: HIV reservoirs, HIV latency and drug resistance. Curr Opin Pharmacol. 2019;48:24–32.

    Article  CAS  PubMed  Google Scholar 

  17. McCluskey SM, Siedner MJ, Marconi VC. Management of virologic failure and HIV drug resistance. Infect Dis Clin N Am. 2019;33:707–42.

    Article  Google Scholar 

  18. Salvana EMT, Samonte GMJ, Telan E, Leyritana K, Tactacan-Abrenica RJ, Ching PR, et al. High rates of tenofovir failure in a CRF01_AE-predominant HIV epidemic in the Philippines. Int J Infect Dis. 2020;95:125–32.

    Article  CAS  PubMed  Google Scholar 

  19. Stekler JD, Milne R, Payant R, Beck I, Herbeck J, Maust B, et al. Transmission of HIV-1 drug resistance mutations within partner-pairs: a cross-sectional study of a primary HIV infection cohort. PLoS Med. 2018;15:e1002537.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Bossard C, Schramm B, Wanjala S, Jain L, Mucinya G, Opollo V, et al. High prevalence of NRTI and NNRTI drug resistance among ART-experienced, hospitalized inpatients. J Acquir Immune Defic Syndr. 2021;87:883–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Zhang D, Wu J, Zhang Y, Shen Y, Dai S, Wang X, et al. Genetic characterization of HIV-1 epidemic in Anhui Province, China. Virol J. 2020;17:17.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Zou X, He J, Zheng J, Malmgren R, Li W, Wei X, et al. Prevalence of acquired drug resistance mutations in antiretroviral-experiencing subjects from 2012 to 2017 in Hunan Province of central South China. Virol J. 2020;17:38.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Wang Z, Zhang M, Zhang R, Liu L, Shen Y, Wang J, Lu H. Diversity of HIV-1 genotypes and high prevalence of pretreatment drug resistance in newly diagnosed HIV-infected patients in Shanghai, China. BMC Infect Dis. 2019;19:313.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Zhao B, Song W, Kang M, Dong X, Li X, Wang L, et al. Molecular network analysis reveals transmission of HIV-1 drug-resistant strains among newly diagnosed HIV-1 infections in a moderately HIV Endemic City in China. Front Microbiol. 2021;12:797771.

    Article  PubMed  Google Scholar 

  25. Chen M, Jia MH, Ma YL, Luo HB, Chen HC, Yang CJ, et al. The changing HIV-1 genetic characteristics and transmitted drug resistance among recently infected population in Yunnan, China. Epidemiol Infect. 2018;146:775–81.

    Article  CAS  PubMed  Google Scholar 

  26. Yuan D, Yu B, Li Y, Wang Z, Liu M, Ye L, et al. Prevalence and molecular epidemiology of transmitted drug resistance and genetic transmission networks among newly diagnosed people living with HIV/AIDS in a minority area, China. Front Public Health. 2021;9:731280.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Yendewa GA, Sahr F, Lakoh S, Ruiz M, Patiño L, Tabernilla A, et al. Prevalence of drug resistance mutations among ART-failure and -experienced HIV-infected patients in Sierra Leone. J Antimicrob Chemother. 2019;74:2024–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Rich SN, Poschman K, Hu H, Mavian C, Cook RL, Salemi M, et al. Sociodemographic, ecological, and spatiotemporal factors associated with human immunodeficiency virus drug resistance in Florida: a retrospective analysis. J Infect Dis. 2021;223:866–75.

    Article  CAS  PubMed  Google Scholar 

  29. Shu Z, Chen Y, Abudureyimu A, Li T, Yuan T, Ma J, et al. Surveillance of HIV-1 drug resistance in Xinjiang: high prevalence of K103N in treatment-naïve individuals. Arch Virol. 2018;163:2111–9.

    Article  CAS  PubMed  Google Scholar 

  30. Zheng S, Wu J, Hao J, Wang D, Hu Z, Liu L, et al. Epidemic characteristics of HIV drug resistance in Hefei, Anhui Province. Pathogens. 2022.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Dong K, Ye L, Leng Y, Liang S, Feng L, Yang H, et al. Prevalence of HIV-1 drug resistance among patients with antiretroviral therapy failure in Sichuan, China, 2010–2016. Tohoku J Exp Med. 2019;247:1–12.

    Article  CAS  PubMed  Google Scholar 

  32. Mori M, Ode H, Kubota M, Nakata Y, Kasahara T, Shigemi U, et al. Nanopore sequencing for characterization of HIV-1 recombinant forms. Microbiol Spectr. 2022;10:e0150722.

    Article  CAS  PubMed  Google Scholar 

  33. Acharya A, Fonsah JY, Mbanya D, Njamnshi AK, Kanmogne GD. Near-full-length genetic characterization of a novel HIV-1 unique recombinant with similarities to A1, CRF01_AE, and CRFO2_AG viruses in Yaoundé, Cameroon. AIDS Res Hum Retroviruses. 2019;35:762–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Ryou S, Yoo M, Kim K, Kim S, Kim SI, Kim YJ, et al. Characterization of HIV-1 recombinant and subtype B near full-length genome among men who have sex with men in South Korea. Sci Rep. 2021;11:4122.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Lunar MM, Mlakar J, Zorec TM, Poljak M. HIV-1 unique recombinant forms identified in Slovenia and their characterization by near full-length genome sequencing. Viruses. 2020.

    Article  PubMed  PubMed Central  Google Scholar 

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We express our gratitude to the authors and submitting laboratories for sharing their HIV sequences in the public databases.


This study was supported by Suzhou Key technologies for the Prevention and Control of Major and Infectious Diseases (GWZX201902), The Key Medical Discipline of Suzhou (SZXK202117) and “National Tutorial System” Training Project for Young Health Backbone Talents in Suzhou (QNGG2022030).

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XY and QS designed this study. ZD and YZ performed the sequencing and data analyses. ZX, DW, KZ and RT contributed to the case sample collection and epidemiological investigation.

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Correspondence to Xuerong Ya or Qiang Shen.

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The Suzhou Center for Disease Control and Prevention (CDC) ethics committee approved the study and all experiments were in line with relevant rules and regulations.

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Dong, Z., Xu, Z., Zhou, Y. et al. Genetic characterization of HIV-1 viruses among cases with antiretroviral therapy failure in Suzhou City, China. AIDS Res Ther 20, 41 (2023).

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