Literature DB >> 33324078

Absence of Integrase Inhibitor-Associated Resistance Among Antiretroviral Therapy-Naïve HIV-1-Infected Adults in Guangdong Province, China, in 2018.

Yun Lan1, Linghua Li2, Weilie Chen1, Xizi Deng1, Junbin Li2, Qinghong Fan1, Xiaoli Cai1, Weiping Cai2, Fengyu Hu1.   

Abstract

BACKGROUND: Antiretroviral therapy (ART) containing an integrase strand transfer inhibitor (INSTI) plus two nucleoside reverse-transcriptase inhibitors has been recommended as a first-line regimen for ART-naïve HIV-1-infected patients in the latest Chinese Guidelines for Diagnosis and Treatment of HIV/AIDS.
OBJECTIVE: To determine the prevalence of INSTI-related mutations among ART-naïve HIV-1-infected adults in Guangdong, China, in 2018.
METHODS: The entire integrase gene was amplified from blood plasma. Demographic and epidemiological information was collected. INSTI mutations and antiretroviral susceptibility were interpreted using the Stanford University HIV Drug Resistance Database HIVdb program.
RESULTS: Of 927 samples, 827 integrase sequences were successfully obtained. Among them, no major resistance mutations to INSTIs were identified, and four accessory mutations, including T97A (0.12%, 1/827), A128T (0.24%, 2/827), E157Q (0.85%, 7/827), and G163R (0.24%, 2/827), were found in twelve individuals. Two patient samples contained the G163R mutation conferring low-level resistance to elvitegravir and raltegravir.
CONCLUSION: The overall prevalence of INSTI mutations remains low. Drug resistance mutation testing for the detection of INSTI drug resistance mutations in HIV treatment-naïve patients should be considered due to the circulation of polymorphisms contributing to INSTI resistance and the expected increasing use of this class of drugs.
© 2020 Lan et al.

Entities:  

Keywords:  Guangdong; HIV-1; drug resistance mutation; integrase inhibitor

Year:  2020        PMID: 33324078      PMCID: PMC7733411          DOI: 10.2147/IDR.S284917

Source DB:  PubMed          Journal:  Infect Drug Resist        ISSN: 1178-6973            Impact factor:   4.003


Introduction

Human immunodeficiency virus-1 (HIV-1) remains a global public health problem of unprecedented proportions. Antiretroviral therapy (ART) is a good choice for the prevention and treatment of HIV infection and has reduced the mortality and morbidity associated with HIV infection.1 However, the long-term success of ART is now threatened by HIV drug resistance.1,2 The World Health Organization (WHO) recommends monitoring and periodic surveillance for the appearance of HIV resistance to all antiretroviral treatment programmes.3 HIV-1 integrase plays an important role in HIV-1 replication by catalysing two distinct reactions, 3ʹ-end processing and strand transfer.4 Integrase strand transfer inhibitors (INSTIs) have become an important part of ART because INSTIs have high efficiency, good tolerability, low toxicity, and reduced concern about CYP3A4-associated drug–drug interactions for most patients.5 INSTI-containing regimens are recommended as first-line treatment in the latest Chinese Guidelines for Diagnosis and Treatment of HIV/AIDS after the efficacy of INSTIs was demonstrated in randomized clinical trials.6–9 In Guangdong, the following regimens which include INSTIs are recommended as first-line regimens for approximately 2 years: two nucleotide reverse transcriptase inhibitors backbone with raltegravir (RAL) or Dolutegravir (DTG). Although INSTIs have a higher genetic barrier to the development of HIV-1 resistance,9–11 INSTI inevitably shows drug resistance similar to other anti-HIV drugs.12 Some data show that rare major INSTI mutations were found among primary infected HIV-1 patients in Europe, Venezuela, Canada, sub-Saharan Africa, and the US.13–17 In China, few data are available on the prevalence of HIV-1 INSTI resistance among ART-naïve patients: no major INSTI drug resistance mutations and rare accessory INSTI drug resistance mutations (0.52%, 2/385) were found among 385 ART-naïve individuals in Beijing; a total of 10 (1.95%) major INSTI drug resistance mutations and 8 (1.56%) accessory INSTI drug resistance mutations were found among 513 ART-naïve individuals in Yunnan.18,19 Given that INSTIs are currently used in HIV-1-infected individuals in Guangdong, a developed province on the southern coast of China, it is essential to obtain the resistance status to this class of antiretrovirals, but there is no information about mutations related to INSTIs among HIV-1-infected individuals in Guangdong. Here, we characterized HIV-1 INSTI-associated resistance among ART-naïve HIV-1-infected adults in Guangdong Province, China.

Materials and Methods

Study Subjects and Sample Collection

Guangdong Province has established a system of sentinel hospitals in which patients wishing to receive HIV treatment are cared for by highly trained Infectious Disease specialists. The Guangzhou Eighth People’s Hospital was the leader of all these sentinel hospitals. The enrolment of the subjects included 927 ART-naïve patients who were over 16 years old and who had initiated their therapy at the eleven sentinel tertiary care hospital of Guangdong from January to December 2018, randomly. Five millilitres of blood with EDTA were drawn prior to ART, and the samples were centrifuged immediately, aliquoted, and stored at −80°C. The demographic and epidemiological information of the patients, including risk group, sex, age, ethnicity, and marital status, was collected. The baseline plasma viral load plus CD4+ T cell count were quantified and drug resistance was monitoring at Guangzhou Eighth People’s Hospital. Patients were previously genotyped based on partial pol regions (HXB2 2253–3318) and were excluded if they had ever used antiretroviral drugs.

RNA Extraction and RT-PCR Amplification

HIV-1 RNA was isolated from 200 µL plasma samples using the magnetic-bead-based Viral RNA Extraction Kit (Daan, China) according to the manufacturer’s instructions. The amplification of the entire Integrase gene (864 bp, HXB2 4230–5093) was performed using one-step reverse transcription PCR (RT-PCR) using the PrimeScript One Step RT-PCR Kit (Taraka, China), followed by nested PCR using PrimeSTAR HS DNA Polymerase (Taraka, China). The outer and inner primers were synthesized as previously described.20 The cycling conditions for cDNA synthesis and the first round of PCR amplification were as follows: 45 minutes at 50°C (cDNA synthesis) and initial denaturation for 3 minutes at 94°C, 30 cycles of 94°C for 30 seconds, 55°C for 30 seconds, and 72°C for 90 seconds, followed by a final extension at 72°C for 5 minutes. The cycling conditions for the second round of PCR amplification were as follows: initial denaturation for 3 minutes at 94°C, 40 cycles of 94°C for 30 seconds, 55°C for 45 seconds, and 72°C for 70 seconds, followed by a final extension at 72°C for 5 minutes. Negative controls were utilized to detect possible contamination. The amplified PCR products were electrophoresed on a 1% agarose gel with negative and positive controls and a DNA size marker (Takara, China). After gel electrophoresis, the positive products were purified using the QIAquick Gel Extraction Kit (QIAGEN, Germany) according to the manufacturer’s protocol and sequenced by a genomics company (Tianyi Huiyuan, China). The primers used for Sanger dideoxy sequencing were the inner primers used for the second round of PCR amplification.

Drug Resistance Testing and Interpretation

The obtained sequences were assembled and edited using Sequencher DNA sequence analysis softwareV5.4.6. All sequences were manually edited and then submitted to the Stanford University HIV Drug Resistance Database () to identify INSTI mutations. Sequences with a low-level category of resistance or greater were defined as having Integrase drug resistance.

Results

A total of 927 HIV-1 patients were tested using the protocol described above, and 100 of them were excluded for cannot obtain the positive PCR products, so the integrase region in 827 patients was successfully amplified, purified and sequenced. The demographic characteristics of these patients (n=827) are shown in Table 1. The participants were aged between 17 and 79 years, with a median age of 35 years. Of these patients, 86.22% (713/827) were male, with a median age of 34 years (ranging from 17 to 79), and 13.78% (114/827) were female, with a median age of 43 years (ranging from 17 to 69). Most of them (91.17%, 754/827) were diagnosed in the last two years (2017–2018). The dominant transmission route was men who have sex with men (MSM; 49.46%, 409/827), followed by heterosexual contact (HET; 39.66%, 328/827). The median (range) HIV-1 viral load was 520,801 (1035–6765,100) IU/mL. The median (range) CD4+ T cell count was 234 (1–1425) cells/mm3, and 42.32% (350/827) of the participants had a CD4+ T cell count of <200 cells/mm3. Based on partial pol sequences, HIV-1 genotypes were identified: CRF01_AE (37.97%), CRF07_BC (32.41%), CRF55_01B (12.33%), B (3.39%), CRF59_01B (2.66%), CRF08_BC (2.18%), Other (0.97%), and URF (8.10%).
Table 1

Demographic and Viral Characteristics of 827 Study Population

CharacteristicsIndividuals (%)Cases Related to INI Mutations (%)
Cases%
Patient, no.827121.45
Gender, no. (%)
 Male713(86.22)101.40
 Female114(13.78)21.75
Route of infection, no. (%)
 Heterosexual328(39.66)61.83
 MSM409(49.46)40.98
 IDU35(4.23)25.71
 Blood5(0.60)00.00
 SexIDU9(1.09)00.00
 Others43(5.20)00.00
Geographical region, no. (%)
 Pear River Delta689(83.31)111.60
 Eastern39(4.72)00.00
 Western48(5.80)12.08
 Northern51(6.17)00.00
HIV-1 subtype based on PR/RT sequences, no. (%)
 CRF01_AE314(37.97)10.32
 CRF07_BC268(32.41)62.24
 CRF55_01B102(12.33)00.00
 B28(3.39)27.14
 CRF59_01B22(2.66)14.55
 CRF08_BC18(2.18)15.56
 Other (C, G, CRF67_01B, CRF68_01B)8(0.97)00.00
 URF67(8.10)11.49
HIV-1 viral loads (Log 10, IU/mL), no. (%)
 <4197(23.82)31.52
 4~5141(17.05)21.42
 >5489(59.13)51.02
CD4+ T cell count (cells/mm3), no. (%)
 <200350(42.32)30.86
 200–350296(35.79)51.69
 351–500115(13.91)21.74
 >50066(7.98)00.00

Note: Others including unknown and not clear.

Abbreviations: INI, integrase inhibitor; MSM, men who have sex with men; IDU, injection drug user; URF, unique recombination form.

Demographic and Viral Characteristics of 827 Study Population Note: Others including unknown and not clear. Abbreviations: INI, integrase inhibitor; MSM, men who have sex with men; IDU, injection drug user; URF, unique recombination form. Of 827 successfully amplified and sequenced integrase sequences, no individual with major INSTI mutations was identified. Twelve individuals had INSTI accessory mutations. The overall prevalence of INSTI drug resistance mutations was 1.45% (12/827). The mutations were T97A (0.12%, 1/827), A128T (0.24%, 2/827), E157Q (0.85%, 7/827), and G163R (0.24%, 2/827). No sample with dual or triple INSTI drug resistance mutations was found in the study. The characteristics of the twelve individuals harbouring INSTI mutations are shown in Table 2. Unequal distributions of mutations were found in the transmission routes, geographical region and genotype. The rates of INSTI mutations associated with the transmission routes were 5.71%, 1.83%, and 0.98% for IDU, HET, and MSM, respectively. The rates of INSTI mutations associated with the geographical region were 2.08% and 1.60% for the Western and Pear River Deltas, respectively. No INSTI mutations were detected in eastern and northern Guangdong. The rate of INSTI mutations among Subtype B was the highest (7.14%, 2/28), followed by CRF08_BC (5.56%, 1/18), CRF59_01B (4.55%, 1/22), CRF07_BC (2.24%, 6/268), URF (1.49%, 1/67), and CRF01_AE (0.32%, 1/314).
Table 2

Characteristics of Patients Harboring HIV-1 Integrase Inhibitor Mutations

Sample IDGeographical RegionGenderAgeTransmission RouteGenotype Based on PR/RT SequencesINI Resistance Mutations
MajorAccessory
01032Pear River DeltaMale35MSMBE157Q
02063Pear River DeltaMale65HTSCRF_07BCG163R
02072Pear River DeltaMale44HTSCRF_07BCE157Q
03012Pear River DeltaMale40IDUCRF_08BCE157Q
03028Pear River DeltaMale45HTSCRF_5901BE157Q
03059Pear River DeltaMale44HTSBE157Q
08060Pear River DeltaMale28MSMCRF_01AEE157Q
08062Pear River DeltaMale29MSMURFT97A
00067WesternFemale58HTSCRF_07BCE157Q
00169Pear River DeltaMale32MSMCRF_07BCG163R
00292Pear River DeltaFemale66HTSCRF_07BCA128T
00346Pear River DeltaMale22IDUCRF_07BCA128T

Abbreviations: INI, integrase inhibitor; MSM, man who have sex with man; IDU, injection drug user; URF, unique recombination form.

Characteristics of Patients Harboring HIV-1 Integrase Inhibitor Mutations Abbreviations: INI, integrase inhibitor; MSM, man who have sex with man; IDU, injection drug user; URF, unique recombination form.

Discussion

Two patient samples contained the G163R mutation, which is polymorphic in subtype F viruses from ARV-naive patients but is otherwise non-polymorphic,21,22 and confers low-level resistance to elvitegravir (EVG) and RAL. One patient sample contained the T97A mutation, which is a polymorphic INSTI-selected mutation that, depending on subtype, occurs in 1% to 5% of viruses from untreated persons,23 has minimal effects on INSTI susceptibility but in combination with other major resistance mutations, conferring potential low-level resistance to EVG and RAL. Seven patient samples contained the E157Q mutation, which is a polymorphic mutation that confers potential low-level resistance, and it generally only occurs in combination with other high- or intermediate-level resistance mutations.24 Two patient samples contained the A128T mutation, which is a relatively nonpolymorphic possibly INSTI-selected mutation that does not appear to reduce INSTI susceptibility. Updated guidelines containing INSTI regimens have been recommended for approximately 2 years in Guangdong, China. Drug resistance testing is not routinely performed for ART-naïve HIV-1-infected individuals. HIV-1 is characterized by a high degree of natural variability due to its high replication rate and lack of a proofreading mechanism in RNA viral polymerase reverse transcription and genetic recombination.12,25,26 Small genetic errors or mutations can lead to the development of drug resistance. In the present study, we found that INSTI drug resistance mutations remain uncommon in Guangdong, China. No mutations related to high-level or medial-level resistance to four INSTIs were found. G163R (0.24%, 2/827) confers low-level resistance to EVG and RAL. G163R was also detected in one patient (0.2%, 1/513) in Yunnan Province.19 Other INSTI accessory mutations found in this study do not reduce susceptibility to INSTIs. The low rates of INSTI drug resistance mutations may be due to natural polymorphisms in the integrase region of HIV-1 virus, and surveillance is also needed for the further use of INSTIs. In this study, different rates of INSTI mutations among different genotypes were found (Table 2). It has been reported that different genotypes may develop different mutational pathways leading to varying levels of drug resistance. Natural polymorphisms may influence the development of resistance against INSTIs in different HIV-1 subtypes.27,28 Here, we found that the mutation rate of Subtype B was higher than that of other genotypes, but the total number and types of drug-resistant sites were limited. Further study will consider grouping the patients according to genotype and following them by using INSTI-containing regimens. A limitation of this study is that we used Sanger dideoxy sequencing to identify established clinically significant drug resistance mutations. Although Sanger sequencing is the gold standard method in HIV drug resistance testing, it fails to identify drug resistance minority variants that are below 20% of the virus population.1,29,30 The method probably underestimates the real prevalence of resistance mutations among treatment-naïve patients.

Conclusion

In conclusion, our results demonstrate that drug resistance mutations associated with INSTIs, including T97A, A128T, E157Q, and G163R, were detected among ART-naïve HIV-1-infected adults in Guangdong, China, in 2018. The overall prevalence of INSTI mutations remains low. Drug resistance mutation testing for the detection of INSTI drug resistance mutations in HIV treatment-naïve patients should be considered due to the circulation of polymorphisms contributing to INSTI resistance and the expected increasing use of this class of drugs.
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1.  Primary resistance to integrase strand-transfer inhibitors in Europe.

Authors:  M Casadellà; P M van Ham; M Noguera-Julian; A van Kessel; C Pou; L M Hofstra; J R Santos; F Garcia; D Struck; I Alexiev; A M Bakken Kran; A I Hoepelman; L G Kostrikis; S Somogyi; K Liitsola; M Linka; C Nielsen; D Otelea; D Paraskevis; M Poljak; E Puchhammer-Stöckl; D Staneková; M Stanojevic; K Van Laethem; S Zidovec Lepej; B Clotet; C A B Boucher; R Paredes; A M J Wensing
Journal:  J Antimicrob Chemother       Date:  2015-07-17       Impact factor: 5.790

2.  Transmitted raltegravir resistance in an HIV-1 CRF_AG-infected patient.

Authors:  Sarita D Boyd; Frank Maldarelli; Irini Sereti; G Laissa Ouedraogo; Catherine A Rehm; Valerie Boltz; Diana Shoemaker; Alice K Pau
Journal:  Antivir Ther       Date:  2011

3.  Lack of HIV-1 integrase inhibitor resistance among 392 antiretroviral-naïve individuals in a tertiary care hospital in Beijing, China.

Authors:  Lifeng Liu; Lili Dai; Jun Yao; Pinliang Pan; Li Li; Zhiying Liu; Xizhao An; Lijun Sun; Hao Wu; Bin Su; Tong Zhang
Journal:  AIDS       Date:  2019-10-01       Impact factor: 4.177

4.  Absence of primary integrase resistance mutations in HIV type 1-infected patients in Venezuela.

Authors:  Héctor R Rangel; Domingo Garzaro; Rona Fabbro; Nahir Martinez; John Ossenkop; Jaime R Torres; Cristina R Gutiérrez; Flor H Pujol
Journal:  AIDS Res Hum Retroviruses       Date:  2010-08       Impact factor: 2.205

5.  [Chinese guidelines for diagnosis and treatment of HIV/AIDS (2018)].

Authors: 
Journal:  Zhonghua Nei Ke Za Zhi       Date:  2018-12-01

6.  Efficacy of raltegravir versus efavirenz when combined with tenofovir/emtricitabine in treatment-naïve HIV-1-infected patients: week-192 overall and subgroup analyses from STARTMRK.

Authors:  Edwin DeJesus; Jürgen K Rockstroh; Jeffrey L Lennox; Michael S Saag; Adriano Lazzarin; Jing Zhao; Hong Wan; Anthony J Rodgers; Monica L Walker; Michael Miller; Mark J DiNubile; Bach-Yen Nguyen; Hedy Teppler; Randi Leavitt; Peter Sklar
Journal:  HIV Clin Trials       Date:  2012 Jul-Aug

7.  Recombination rate and selection strength in HIV intra-patient evolution.

Authors:  Richard A Neher; Thomas Leitner
Journal:  PLoS Comput Biol       Date:  2010-01-29       Impact factor: 4.475

8.  Prevalence of Primary Drug Resistance Against HIV-1 Integrase Inhibitors in Canada.

Authors:  Hezhao Ji; Aileen Patterson; Tracy Taylor; Claudia Rank; Jessica Halverson; Rupert Capina; James Brooks; Paul Sandstrom
Journal:  J Acquir Immune Defic Syndr       Date:  2018-05-01       Impact factor: 3.731

Review 9.  Recent advances in the discovery of small-molecule inhibitors of HIV-1 integrase.

Authors:  Eungi Choi; Jayapal Reddy Mallareddy; Dai Lu; Srikanth Kolluru
Journal:  Future Sci OA       Date:  2018-09-06

10.  Bictegravir, emtricitabine, and tenofovir alafenamide versus dolutegravir, abacavir, and lamivudine for initial treatment of HIV-1 infection (GS-US-380-1489): a double-blind, multicentre, phase 3, randomised controlled non-inferiority trial.

Authors:  Joel Gallant; Adriano Lazzarin; Anthony Mills; Chloe Orkin; Daniel Podzamczer; Pablo Tebas; Pierre-Marie Girard; Indira Brar; Eric S Daar; David Wohl; Jürgen Rockstroh; Xuelian Wei; Joseph Custodio; Kirsten White; Hal Martin; Andrew Cheng; Erin Quirk
Journal:  Lancet       Date:  2017-08-31       Impact factor: 79.321

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  2 in total

1.  Pre-Treatment Integrase Inhibitor Resistance and Natural Polymorphisms among HIV-1 Subtype C Infected Patients in Ethiopia.

Authors:  Dawit Assefa Arimide; Zsófia Ilona Szojka; Kidist Zealiyas; Atsbeha Gebreegziabxier; Fekadu Adugna; Sviataslau Sasinovich; Per Björkman; Patrik Medstrand
Journal:  Viruses       Date:  2022-03-30       Impact factor: 5.818

2.  Drug Resistance to HIV-1 Integrase Inhibitors Among Treatment-Naive Patients in Beijing, China.

Authors:  Fengting Yu; Qun Li; Linghang Wang; Hongxin Zhao; Hao Wu; Siyuan Yang; Yunxia Tang; Jiang Xiao; Fujie Zhang
Journal:  Pharmgenomics Pers Med       Date:  2022-03-10
  2 in total

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