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Éva Áy National Reference Laboratory for Retroviruses, Department of Virology, National Public Health Center, Budapest, Hungary

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Ágnes Pocskay National Reference Laboratory for Retroviruses, Department of Virology, National Public Health Center, Budapest, Hungary

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Botond Lakatos Department of Infectious Diseases, Center of HIV, National Institute of Hematology and Infectious Diseases, South-Pest Central Hospital, Budapest, Hungary

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János Szlávik Department of Infectious Diseases, Center of HIV, National Institute of Hematology and Infectious Diseases, South-Pest Central Hospital, Budapest, Hungary

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Mária Mezei National Reference Laboratory for Retroviruses, Department of Virology, National Public Health Center, Budapest, Hungary

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János Minárovits Department of Oral Biology and Experimental Dental Research, University of Szeged, Szeged, Hungary

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Abstract

Widespread introduction of HIV integrase inhibitors into clinical care may result in appearance of drug resistance mutations affecting treatment outcome. The aim of our study was to monitor the resistance patterns of integrase inhibitors beside protease and reverse transcriptase inhibitors in newly diagnosed therapy-naive HIV-positive patients in Hungary between 2017 and 2019.

Genotype-based resistance testing of HIV integrase, protease and reverse transcriptase was performed by amplification and Sanger population sequencing from plasma samples. Drug resistance mutations were identified by the algorithm of Stanford HIV Drug Resistance Database.

Potentially transmitted, non-polymorphic integrase major mutation was detected in 1 out of 249 samples, while accessory mutations were observed in further 31 patients (12.4%). The overall prevalence of transmitted drug resistance (TDR) mutations related to protease and reverse transcriptase inhibitors was 5.8% (10/173) between the end of 2017 and 2019. Nucleoside reverse transcriptase inhibitor associated resistance mutations were the most frequent indicators of TDR (6/173; 3.5%), followed by resistance mutations associated with protease (3/173; 1.7%) and non-nucleoside reverse transcriptase inhibitors (2/173, 1.2%).

The first detection of integrase major mutation and the changing patterns of other resistance mutations in Hungarian untreated HIV-positive population indicate the necessity of continuous molecular surveillance of Hungarian HIV epidemic.

Abstract

Widespread introduction of HIV integrase inhibitors into clinical care may result in appearance of drug resistance mutations affecting treatment outcome. The aim of our study was to monitor the resistance patterns of integrase inhibitors beside protease and reverse transcriptase inhibitors in newly diagnosed therapy-naive HIV-positive patients in Hungary between 2017 and 2019.

Genotype-based resistance testing of HIV integrase, protease and reverse transcriptase was performed by amplification and Sanger population sequencing from plasma samples. Drug resistance mutations were identified by the algorithm of Stanford HIV Drug Resistance Database.

Potentially transmitted, non-polymorphic integrase major mutation was detected in 1 out of 249 samples, while accessory mutations were observed in further 31 patients (12.4%). The overall prevalence of transmitted drug resistance (TDR) mutations related to protease and reverse transcriptase inhibitors was 5.8% (10/173) between the end of 2017 and 2019. Nucleoside reverse transcriptase inhibitor associated resistance mutations were the most frequent indicators of TDR (6/173; 3.5%), followed by resistance mutations associated with protease (3/173; 1.7%) and non-nucleoside reverse transcriptase inhibitors (2/173, 1.2%).

The first detection of integrase major mutation and the changing patterns of other resistance mutations in Hungarian untreated HIV-positive population indicate the necessity of continuous molecular surveillance of Hungarian HIV epidemic.

Introduction

Combination antiretroviral therapy (cART) has reduced HIV-related morbidity and mortality significantly [1]. In 2019, there were an estimated 38 million people living with HIV, and 25.4 million people were accessing antiretroviral therapy globally [2]. Although effective cART reduces the risk of HIV transmission [3], the emergence of drug resistant variants in the presence of antiretroviral drugs can lead to incomplete viral suppression and therapeutic failure. Transmission of resistant HIV strains may reduce the treatment options of newly HIV-infected patients, pointing out the necessity of baseline drug resistance testing and continuous drug development [4].

One of the newest drug class of antiretrovirals, namely integrase inhibitors (INIs), target the integrase enzyme of HIV by blocking the incorporation of reverse transcribed proviral DNA into the host genome. Due to their excellent tolerability, minimal toxicity, high efficacy and ease of use, integrase inhibitors became preferred agents for treatment-naive or experienced patients and serve as novel treatment options in case of acquired and transmitted resistance in combination with other HIV drug classes [5]. The first HIV integrase inhibitor, raltegravir (RAL) was introduced into medical care in Europe in 2007, followed by the approval of elvitegravir (EVG) in 2013 [6]. The rapid emergence of drug resistance mutations against the first-generation integrase inhibitors and cross resistance to RAL and EVG indicated the development of second-generation INIs. These drugs, with a higher genetic barrier to resistance, include dolutegravir (DTG), bictegravir (BIC) and cabotegravir (CAB); they were approved in Europe in 2014, 2018 and 2020, respectively [5, 6].

Medical care for HIV-positive persons is centralized in Hungary, most of HIV-infected patients are followed and treated in Center for HIV, National Institute for Hematology and Infectious Diseases, South-Pest Central Hospital, Budapest. Integrase inhibitors are used since 2008 in Hungary, and they are included into first-line recommendations since 2009. Between 2008 and 2017, 617 of 2,232 registered patients received RAL or DTG in the Center for HIV [7]. Since 2017, INIs are dominantly selected for initial therapy in Hungary.

The aim of our study was to evaluate how the widespread use of INIs affected the prevalence of resistance mutations, associated with the clinically preferred integrase inhibitors, in newly diagnosed, treatment-naive HIV-positive patients in Hungary. In addition, as a part of complete resistance pattern analysis, mutations to reverse transcriptase (RT) and protease (PR) were also monitored.

Materials and methods

Study population included 249 ART-naive patients diagnosed as HIV-positive between 2017 and 2019. Plasma samples obtained from EDTA-anticoagulated peripheral blood were collected in Center for HIV, National Institute of Hematology and Infectious Diseases, South-Pest Central Hospital, Budapest, Hungary. Analysis of surveillance drug resistance mutations associated with integrase, protease and reverse transcriptase inhibitors were implemented from samples collected within 1 year (median: 0.7 month, interquartile range, IQR: 0.2–0.9 month) of HIV diagnosis. Clinical and demographical data, including CD4+ cell counts and viral load at the time of sampling, possible route of infection, gender and age were also documented. This study was approved by the Institutional Bioethics Committee of South-Pest Central Hospital (EB/14/2017, EB-21/2020).

HIV-1 RNA was extracted from plasma samples using the NucliSENS miniMAG nucleic acid purification system and NucliSens Magnetic Extraction Reagent (bioMérieux, France) according to the manufacturer's instructions. HIV-1 integrase region was reverse transcribed and amplified using KVL068/KVL069 outer primers [8] with SuperScript III One-Step RT-PCR System with Platinum Taq DNA Polymerase kit (ThermoFisher Scientific Inc., USA) or Verso 1-Step RT-PCR Hot-Start kit (ThermoFisher Scientific Inc., USA) and further amplified using KVL070/KVL084 [8] or INT1/INT2 [9] inner primers and 2x MyFi Mix (Meridian Life Science Inc., USA) in a nested-PCR reaction. Amplification of protease and reverse transcriptase regions was described previously [10, 11].

Purified IN and PR/RT amplicons obtained from nested PCRs were subjected to Sanger sequencing using BigDye Terminator v3.1 Cycle Sequencing kit (Applied Biosystems, USA) and appropriate sequencing primers [8–10, 12]. Sequencing and base-calling was performed on ABI3500 Genetic analyzer system (Applied Biosystems, USA). HIV subtypes, resistance profile of IN, PR and RT and the clinical relevance of mutations were determined from obtained sequences by Stanford HIV Drug Resistance Database algorithm [13]. In the case of prevalence of transmitted drug resistance the 95% confidence intervals (CI) were calculated using Wilson score interval [14].

HIV-1 RNA quantification was performed using the NucliSENS nucleic acid purification (NucliSENS miniMAG nucleic acid purification system and NucliSens Magnetic Extraction Reagent) and amplification (NucliSENS EasyQ® HIV-1 kit) system (bioMérieux, France) according to the manufacturer's instructions.

Results

In total, 249 newly diagnosed, HIV-positive, ART-naive patients were enrolled in our study investigating the prevalence of surveillance drug resistance to integrase inhibitors between 2017 and 2019. The majority of patients were male (95.2%) and the main risk factor for HIV infection was MSM (93.2%), followed by heterosexual contact (6.8%). The median age of study population was 32 years (IQR: 26–40). At the time of resistance testing the median CD4+ cell count and median viral load was 418 cells/µl (IQR: 260–592) and 70,000 cps/ml (IQR: 22,000–270,000), respectively.

HIV-1 drug resistance analysis of 249 samples revealed a low prevalence of surveillance drug resistance mutations associated with integrase inhibitors in therapy-naive patients (Fig. 1/A). The only detected major integrase mutation (n = 1; 0.4%; 95% CI: 0.1–2.2), T66A, decreases susceptibility to elvitegravir and raltegravir. However, polymorphic accessory integrase mutations conferring low-level or no resistance to integrase inhibitors were identified in 31 additional cases (12.4%). No clinical resistance to dolutegravir or bictegravir was observed. Surveillance drug resistance mutations associated with PR or RT inhibitors were not detected among patients harbouring HIV-1 strains with major or accessory integrase resistance mutations. The most common integrase accessory polymorphism, L74I (n = 17; 6.8%) was predominantly found among non-B subtypes (n = 16; 6.4%), while L74M (n = 7; 2.8%) was exclusively associated with subtype B virus strains, similar to T97A (n = 1; 0.4%) and V151I (n = 1; 0.4%). E157Q polymorphic accessory mutation (n = 5; 2.0%) was identified in subtype B virus strains in 4 samples and in a subtype G virus strain in 1 sample. The overall prevalence of accessory mutations was significantly higher in viruses with non-B subtypes and CRFs (17 out of 52; 32.7%), than in subtype B virus strains (14 out of 194; 7.2%).

Fig. 1.
Fig. 1.

Frequency of detected HIV-1 drug resistance mutations associated with INIs (A) or NRTIs, NNRTIs and PIs (B) among treatment-naive patients diagnosed as HIV-positive between 2017 and 2019. In the case of INI resistance mutations, the results of the analysis of 249 samples are illustrated, while the depicted frequencies of RTI and PI resistance mutations originate from the 173 examined samples diagnosed as HIV-positive between the end of 2017 and 2019 (76 samples collected at the beginning of 2017, were characterized for mutations related to PR and RT inhibitors, but not for INIs, in our previous study [11]) INI: integrase inhibitor; NRTI: nucleoside reverse transcriptase inhibitor; NNRTI: non-nucleoside reverse transcriptase inhibitor; PI: protease inhibitor.

Citation: Acta Microbiologica et Immunologica Hungarica 68, 2; 10.1556/030.2021.01433

In this study, in addition to the mutations associated with integrase resistance, transmitted drug resistance mutations related to protease and reverse transcriptase inhibitors were also determined in 173 out of 249 examined samples, whereas 76 samples collected at the beginning of 2017, were characterized for mutations related to PR and RT inhibitors, but not for INIs, in our previous study [11]. From the end of 2017–2019, the overall prevalence of transmitted HIV drug resistance mutations (TDRMs) related to nucleoside reverse transcriptase inhibitors (NRTIs), non-nucleoside reverse transcriptase inhibitors (NNRTIs) and protease inhibitors (PIs) was 5.8% (10 out of 173; 95% CI: 3.2–10.3). Among the 173 treatment naive patients, the most frequently detected drug resistance mutations were associated with NRTI resistance (n = 6; 3.5%; 95% CI: 1.6–7.4), including thymidine analogue mutation, M41L, and a T215 revertant variant (T215E) alone, or in combination. SDRMs associated with PIs were identified in 3 cases (1.7%; 95% CI: 0.6–5.0), while NNRTI resistance was observed in 2 out of 173 (1.2%; 95% CI: 0.3–4.1) studied samples (Fig. 1/B). Genotypic evidence for two-class resistance of HIV inhibitors (NRTI and NNRTI) was detected in a single patient (n = 1; 0.6%). All patients carrying mutations conferring resistance to PIs or RTIs were infected with subtype B HIV-1 strains. Regarding to the cumulative analysis of 249 samples, in total, the overall prevalence of TDRMs related to RTIs and PIs was 7.6% (n = 19) between 2017 and 2019. 5.6% (n = 14) of patients carried HIV-1 strains with NRTI resistance, while PI and NNRTI resistance was observed in 3 (1.2%) and one (0.4%) cases, respectively. Dual class resistance (NRTI and NNRTI) was identified for an additional sample.

According to the obtained IN and PR/RT sequences, the predominant HIV-1 subtype in the examined 173 samples was subtype B (n = 133; 76.9%) among patients diagnosed as HIV-positive between the end of 2017 and 2019. Subtype F was detected in 10.4% of patients (n=18), subtype A in 5.2% (n = 9), subtype C in 0.6% (n = 1), followed by recombinants CRF01_AE in 3.5% (n = 6), CRF02_AG in 1.2% (n = 2) and CRF06_cpx in 0.6% (n = 1). In case of 3 samples HIV-1 subtypes could be not clearly determined. The cumulative prevalence of detected HIV-1 subtypes and circulating recombinant forms (CRFs) according to our earlier [11] and present study are depicted in Fig. 2.

Fig. 2.
Fig. 2.

Prevalence of detected HIV-1 subtypes and CRFs between 2013 and 2019 (cumulative data from earlier [11] and present study) in Hungary

Citation: Acta Microbiologica et Immunologica Hungarica 68, 2; 10.1556/030.2021.01433

Discussion

To the best of our knowledge, this is the first study monitoring the prevalence of drug resistance mutations associated with HIV integrase inhibitors in ART-naive patients in Hungary. Although integrase inhibitors are routinely applied drugs for ART-naive and chronically infected HIV-positive patients in Hungary, this study revealed a low prevalence (0.4%) of major resistance mutations associated with integrase inhibitors in a therapy-naive population. The identified T66A mutation conferring low-level resistance to raltegravir and high-level resistance to elvitegravir is non-polymorphic, therefore it is preferably thought to represent a transmitted drug resistance mutation, rather than a naturally arisen substitution. This first case of potentially transmitted integrase resistance mutation was detected 9 years after the first integrase inhibitor was introduced into the medical care in Hungary. The very low number of detected major integrase resistance mutations in therapy-naive patients possibly reflects the remarkably low case number of treatment failures among INI recipients. Between 2006 and 2007, the European SPREAD programme revealed no resistance mutations to any of INIs, although potentially relevant polymorphisms could be observed before the introduction of integrase inhibitors [15]. A possible outcome of increasing role of INIs in ART worldwide is, however, the emergence of primary integrase resistance mutations among untreated patients as observed in our study and in different European countries [16–21].

12.4% of studied patients carried HIV-1 strains with polymorphic accessory integrase mutations (L74I/M, E157Q, T97A, V151I) contributing to reduced susceptibility of INIs mainly in combination with other major integrase mutations. These highly or minimally polymorphic mutations occur in less than 10% of viruses from ART-naive patients depending on HIV subtype [22]. The majority of detected accessory integrase mutations in Hungary were also observed in different proportion in Austria [18], Poland [23], Spain [16], Scotland [17], Switzerland [20], UK [24] and Italy [21]. Prevalence of major and accessory integrase resistance mutations occurring in different studies is not easily comparable because of different time periods, sampling strategies, mutation identifying methodologies and datasets.

The overall prevalence of transmitted drug resistance related to PIs and RTIs (5.8%) decreased significantly compared to our earlier study (10.7%, [11]), despite the moderate increase in PI resistance among treatment-naive patients. The most remarkable changes were observed in the number and proportion of resistance mutations associated with NRTI resistance (3.5% versus 9.5% in our present and previous study, respectively). In 2019, only 1 of 71 (1.4%) investigated samples carried HIV-1 strains with NRTI resistance. The phylogenetic analysis in our previous study revealed potential transmission clusters and a monophyletic group containing NRTI-associated resistance mutations. The dynamics of Hungarian HIV epidemic appear to undergo a significant change as the forward spread of NRTI resistant HIV-1 strains decreased dramatically, partly due to approaching the first 90 target (diagnose 90% of people living with HIV) of Joint United Nations Programme on HIV/AIDS [25, 26]. To identify even more HIV-positive people as early as possible together with the “treat all” strategy results the decrease of HIV transmission at population level.

According to our current study, subtype B remains the predominant HIV-1 subtype in Hungary, similarly to Central- and Western European countries [27]. It is remarkable, however, that the proportion of non-B subtypes almost doubled compared to our previous study. While the prevalence of non-B subtypes was 12.5% in Hungary between 2013 and 2017 [11], from the end of 2017–2019 this rate increased to 23.1% with a predominance of subtype F (10.4%). Despite the increased proportion of non-B subtypes, drug resistance mutations were still associated with subtype B virus strains. These facts together with the alterations in the pattern of drug resistance mutations possibly reflect the changes in national transmission networks and genetic diversification of Hungarian epidemic, similarly to other European countries [27–31].

In conclusion, this is the first study monitoring the prevalence of drug resistance mutations associated with integrase inhibitors among treatment-naive, HIV-positive patients in Hungary. We identified potentially transmitted integrase resistance mutation in only 1 out of 249 samples. Although the prevalence of transmitted INI resistance mutations is low, the patterns of such mutations may change due to the extensive usage of INIs. For this reason, transmission of INI resistance should be continuously monitored. The increasing proportion of non-B subtypes and the remarkable alteration of NRTI resistance observed among untreated, HIV-positive population in Hungary are important indicators of necessity of continuous molecular surveillance.

Conflict of interest

The authors declare no competing interests.

References

  • 1.

    Danforth K, Granich R, Wiedeman D, Baxi S, Padian N. Global mortality and morbidity of HIV/AIDS. In: Holmes KK, Bertozzi S, Bloom BR, Jha P (editors). Major Infectious Diseases. 3rd ed. Washington (DC): The International Bank for Reconstruction and Development/The World Bank; 2017, pp. 2944. https://doi.org/10.1596/978-1-4648-0524-0_ch2.

    • Search Google Scholar
    • Export Citation
  • 3.

    Attia S, Egger M, Müller M, Zwahlen M, Low N. Sexual transmission of HIV according to viral load and antiretroviral therapy: systematic review and meta-analysis. AIDS 2009; 23(11): 13971404. https://doi.org/10.1097/qad.0b013e32832b7dca.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 4.

    Kiertiburanakul S, Sungkanuparph S. Emerging of HIV drug resistance: epidemiology, diagnosis, treatment and prevention. Curr HIV Res 2009; 7(3): 273278. https://doi.org/10.2174/157016209788347976.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 5.

    Max B. Update on HIV integrase inhibitors for the treatment of HIV-1 infection. Future Virol 2019; 14(10): 693709. https://doi.org/10.2217/fvl-2019-0077.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 6.

    European Medicines Agency, https://www.ema.europa.eu/en, January 2021.

  • 7.

    Lakatos B, Lonkai B, Szlávik J. Efficacy and tolerability of integrase inhibitors: experiences from a nationwide real-life cohort .Open Forum Infect Dis 2018; 5(Suppl_1): S207. https://doi.org/10.1093/ofid/ofy210.567.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 8.

    Van Laethem K, Schrooten Y, Covens K, Dekeersmaeker N, De Munter P, Van Wijngaerden E, et al.. A genotypic assay for the amplification and sequencing of integrase from diverse HIV-1 group M subtypes. J Virol Methods 2008; 153(2): 176181. https://doi.org/10.1016/j.jviromet.2008.07.008.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 9.

    Hearps AC, Greengrass V, Hoy J, Crowe SM. An HIV-1 integrase genotype assay for the detection of drug resistance mutations. Sex Health 2009; 6(4): 305309. https://doi.org/10.1071/sh09041.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 10.

    Mezei M, Ay E, Koroknai A, Tóth R, Balázs A, Bakos A, Gyori Z, et al.. Molecular epidemiological analysis of env and pol sequences in newly diagnosed HIV type 1-infected, untreated patients in Hungary. AIDS Res Hum Retroviruses 2011; 27(11): 12431247. https://doi.org/10.1089/aid.2011.0077.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 11.

    Áy É, Müller V, Mezei M, Pocskay Á, Koroknai A, Müller D, et al.. Transmitted drug resistance in newly diagnosed and treatment-naïve HIV type 1-infected patients in Hungary. J Glob Antimicrob Resist 2020; 20: 124130 https://doi.org/10.1016/j.jgar.2019.07.014.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 12.

    Murillo W, de Rivera IL, Parham L, Jovel E, Palou E, Karlsson AC, et al.. Prevalence of drug resistance and importance of viral load measurements in Honduran HIV-infected patients failing antiretroviral treatment. HIV Med 2010; 11(2): 95103. https://doi.org/10.1111/j.1468-1293.2009.00747.x.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 13.

    Liu TF, Shafer RW. Web resources for HIV type 1 genotypic-resistance test interpretation. Clin Infect Dis 2006; 42(11): 16081618. https://doi.org/10.1086/503914.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 14.

    Sergeant ESG. Epitools epidemiological calculators. Ausvet Pty Ltd 2017. Available at: http://epitools.ausvet.com.au.

  • 15.

    Casadellà M, van Ham PM, Noguera-Julian M, van Kessel A, Pou C, Hofstra LM, et al.. SPREAD programme: primary resistance to integrase strand-transfer inhibitors in Europe. J Antimicrob Chemother 2015; 70(10): 28852888. https://doi.org/10.1093/jac/dkv202.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 16.

    Alvarez M, Casas P, de Salazar A, Chueca N, Guerrero-Beltran C, Rodríguez C, et al.. CoRIS: surveillance of transmitted drug resistance to integrase inhibitors in Spain: implications for clinical practice. J Antimicrob Chemother 2019; 74(6): 1693-1700. https://doi.org/10.1093/jac/dkz067.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 17.

    Bradley-Stewart A, Urcia C, MacLean A, Aitken C, Gunson R. HIV-1 integrase inhibitor resistance among treatment naive patients in the West of Scotland. J Clin Virol 2017; 92, 710 https://doi.org/10.1016/j.jcv.2017.04.012.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 18.

    Zoufaly A, Kraft C, Schmidbauer C, Puchhammer-Stoeckl E. Prevalence of integrase inhibitor resistance mutations in Austrian patients recently diagnosed with HIV from 2008 to 2013. Infection 2017; 45(2): 165170 https://doi.org/10.1007/s15010-016-0936-5.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 19.

    Oroz M, Begovac J, Planinić A, Rokić F, Lunar MM, Zorec TM, et al.. Analysis of HIV-1 diversity, primary drug resistance and transmission networks in Croatia. Sci Rep 2019; 9(1): 17307 https://doi.org/10.1038/s41598-019-53520-8.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 20.

    Scherrer AU, Yang WL, Kouyos RD, Böni J, Yerly S, Klimkait T, et al.. Swiss HIV cohort study: successful prevention of transmission of integrase resistance in the Swiss HIV cohort study. J Infect Dis 2016; 214(3): 399-402 https://doi.org/10.1093/infdis/jiw165.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 21.

    Mazzuti L, Melengu T, Falasca F, Calabretto M, Cella E, Ciccozzi M, et al.. Transmitted drug resistance mutations and trends of HIV-1 subtypes in treatment-naive patients: a single-centre experience. J Glob Antimicrob Resist 2020; 20: 298303 https://doi.org/10.1016/j.jgar.2019.08.024.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 22.

    Rhee SY, Gonzales MJ, Kantor R, Betts BJ, Ravela J, Shafer RW. Human immunodeficiency virus reverse transcriptase and protease sequence database. Nucleic Acids Res 2003; 31(1): 298303. https://doi.org/10.1093/nar/gkg100.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 23.

    Parczewski M, Leszczyszyn-Pynka M, Urbańska A. Differences in the integrase and reverse transcriptase transmitted resistance patterns in Northern Poland. Infect Genet Evol 2017; 49: 122129 https://doi.org/10.1016/j.meegid.2016.12.019.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 24.

    Mbisa JL, Ledesma J, Kirwan P, Bibby DF, Manso C, Skingsley A, et al.. Surveillance of HIV-1 transmitted integrase strand transfer inhibitor resistance in the UK. J Antimicrob Chemother 2020; 75(11): 33113318. https://doi.org/10.1093/jac/dkaa309.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 25.

    Joint United Nations Programme on HIV/AIDS (UNAIDS). 90-90-90 — anambitious treatment target to help end the AIDS epidemic 2014. https://www.unaids.org/sites/default/files/media_asset/90-90-90_en.pdf.

    • Search Google Scholar
    • Export Citation
  • 26.

    Marsh K, Eaton JW, Mahy M, Sabin K, Autenrieth CS, Wanyeki I, et al.. Global, regional and country-level 90-90-90 estimates for 2018: assessing progress towards the 2020 target. AIDS 2019; 33(Suppl 3): S213S226. https://doi.org/10.1097/qad.0000000000002355.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 27.

    Beloukas A, Psarris A, Giannelou P, Kostaki E, Hatzakis A, Paraskevis D. Molecular epidemiology of HIV-1 infection in Europe: an overview. Infect Genet Evol 2016; 46: 180189. https://doi.org/10.1016/j.meegid.2016.06.033.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 28.

    Lunar MM, Židovec Lepej S, Tomažič J, Vovko TD, Pečavar B, Turel G, et al.. HIV-1 transmitted drug resistance in Slovenia and its impact on predicted treatment effectiveness: 2011–2016 update. PLoS One 2018; 13(4): e0196670. https://doi.org/10.1371/journal.pone.0196670.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 29.

    Hauser A, Hofmann A, Meixenberger K, Altmann B, Hanke K, Bremer V, et al.. Increasing proportions of HIV-1 non-B subtypes and of NNRTI resistance between 2013 and 2016 in Germany: results from the national molecular surveillance of new HIV-diagnoses. PLoS One 2018; 13(11): e0206234 https://doi.org/10.1371/journal.pone.0206234.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 30.

    Temereanca A, Ene L, Mehta S, Manolescu L, Duiculescu D, Ruta S. Transmitted HIV drug resistance in treatment-naive Romanian patients. J Med Virol 2013; 85(7): 11391147. https://doi.org/10.1002/jmv.23572.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 31.

    The UK Collaborative Group on HIV Drug Resistance. The increasing genetic diversity of HIV-1 in the UK, 2002–2010. AIDS 2014; 28(5): 773780. https://doi.org/10.1097/qad.0000000000000119.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 1.

    Danforth K, Granich R, Wiedeman D, Baxi S, Padian N. Global mortality and morbidity of HIV/AIDS. In: Holmes KK, Bertozzi S, Bloom BR, Jha P (editors). Major Infectious Diseases. 3rd ed. Washington (DC): The International Bank for Reconstruction and Development/The World Bank; 2017, pp. 2944. https://doi.org/10.1596/978-1-4648-0524-0_ch2.

    • Search Google Scholar
    • Export Citation
  • 3.

    Attia S, Egger M, Müller M, Zwahlen M, Low N. Sexual transmission of HIV according to viral load and antiretroviral therapy: systematic review and meta-analysis. AIDS 2009; 23(11): 13971404. https://doi.org/10.1097/qad.0b013e32832b7dca.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 4.

    Kiertiburanakul S, Sungkanuparph S. Emerging of HIV drug resistance: epidemiology, diagnosis, treatment and prevention. Curr HIV Res 2009; 7(3): 273278. https://doi.org/10.2174/157016209788347976.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 5.

    Max B. Update on HIV integrase inhibitors for the treatment of HIV-1 infection. Future Virol 2019; 14(10): 693709. https://doi.org/10.2217/fvl-2019-0077.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 6.

    European Medicines Agency, https://www.ema.europa.eu/en, January 2021.

  • 7.

    Lakatos B, Lonkai B, Szlávik J. Efficacy and tolerability of integrase inhibitors: experiences from a nationwide real-life cohort .Open Forum Infect Dis 2018; 5(Suppl_1): S207. https://doi.org/10.1093/ofid/ofy210.567.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 8.

    Van Laethem K, Schrooten Y, Covens K, Dekeersmaeker N, De Munter P, Van Wijngaerden E, et al.. A genotypic assay for the amplification and sequencing of integrase from diverse HIV-1 group M subtypes. J Virol Methods 2008; 153(2): 176181. https://doi.org/10.1016/j.jviromet.2008.07.008.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 9.

    Hearps AC, Greengrass V, Hoy J, Crowe SM. An HIV-1 integrase genotype assay for the detection of drug resistance mutations. Sex Health 2009; 6(4): 305309. https://doi.org/10.1071/sh09041.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 10.

    Mezei M, Ay E, Koroknai A, Tóth R, Balázs A, Bakos A, Gyori Z, et al.. Molecular epidemiological analysis of env and pol sequences in newly diagnosed HIV type 1-infected, untreated patients in Hungary. AIDS Res Hum Retroviruses 2011; 27(11): 12431247. https://doi.org/10.1089/aid.2011.0077.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 11.

    Áy É, Müller V, Mezei M, Pocskay Á, Koroknai A, Müller D, et al.. Transmitted drug resistance in newly diagnosed and treatment-naïve HIV type 1-infected patients in Hungary. J Glob Antimicrob Resist 2020; 20: 124130 https://doi.org/10.1016/j.jgar.2019.07.014.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 12.

    Murillo W, de Rivera IL, Parham L, Jovel E, Palou E, Karlsson AC, et al.. Prevalence of drug resistance and importance of viral load measurements in Honduran HIV-infected patients failing antiretroviral treatment. HIV Med 2010; 11(2): 95103. https://doi.org/10.1111/j.1468-1293.2009.00747.x.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 13.

    Liu TF, Shafer RW. Web resources for HIV type 1 genotypic-resistance test interpretation. Clin Infect Dis 2006; 42(11): 16081618. https://doi.org/10.1086/503914.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 14.

    Sergeant ESG. Epitools epidemiological calculators. Ausvet Pty Ltd 2017. Available at: http://epitools.ausvet.com.au.

  • 15.

    Casadellà M, van Ham PM, Noguera-Julian M, van Kessel A, Pou C, Hofstra LM, et al.. SPREAD programme: primary resistance to integrase strand-transfer inhibitors in Europe. J Antimicrob Chemother 2015; 70(10): 28852888. https://doi.org/10.1093/jac/dkv202.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 16.

    Alvarez M, Casas P, de Salazar A, Chueca N, Guerrero-Beltran C, Rodríguez C, et al.. CoRIS: surveillance of transmitted drug resistance to integrase inhibitors in Spain: implications for clinical practice. J Antimicrob Chemother 2019; 74(6): 1693-1700. https://doi.org/10.1093/jac/dkz067.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 17.

    Bradley-Stewart A, Urcia C, MacLean A, Aitken C, Gunson R. HIV-1 integrase inhibitor resistance among treatment naive patients in the West of Scotland. J Clin Virol 2017; 92, 710 https://doi.org/10.1016/j.jcv.2017.04.012.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 18.

    Zoufaly A, Kraft C, Schmidbauer C, Puchhammer-Stoeckl E. Prevalence of integrase inhibitor resistance mutations in Austrian patients recently diagnosed with HIV from 2008 to 2013. Infection 2017; 45(2): 165170 https://doi.org/10.1007/s15010-016-0936-5.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 19.

    Oroz M, Begovac J, Planinić A, Rokić F, Lunar MM, Zorec TM, et al.. Analysis of HIV-1 diversity, primary drug resistance and transmission networks in Croatia. Sci Rep 2019; 9(1): 17307 https://doi.org/10.1038/s41598-019-53520-8.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 20.

    Scherrer AU, Yang WL, Kouyos RD, Böni J, Yerly S, Klimkait T, et al.. Swiss HIV cohort study: successful prevention of transmission of integrase resistance in the Swiss HIV cohort study. J Infect Dis 2016; 214(3): 399-402 https://doi.org/10.1093/infdis/jiw165.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 21.

    Mazzuti L, Melengu T, Falasca F, Calabretto M, Cella E, Ciccozzi M, et al.. Transmitted drug resistance mutations and trends of HIV-1 subtypes in treatment-naive patients: a single-centre experience. J Glob Antimicrob Resist 2020; 20: 298303 https://doi.org/10.1016/j.jgar.2019.08.024.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 22.

    Rhee SY, Gonzales MJ, Kantor R, Betts BJ, Ravela J, Shafer RW. Human immunodeficiency virus reverse transcriptase and protease sequence database. Nucleic Acids Res 2003; 31(1): 298303. https://doi.org/10.1093/nar/gkg100.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 23.

    Parczewski M, Leszczyszyn-Pynka M, Urbańska A. Differences in the integrase and reverse transcriptase transmitted resistance patterns in Northern Poland. Infect Genet Evol 2017; 49: 122129 https://doi.org/10.1016/j.meegid.2016.12.019.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 24.

    Mbisa JL, Ledesma J, Kirwan P, Bibby DF, Manso C, Skingsley A, et al.. Surveillance of HIV-1 transmitted integrase strand transfer inhibitor resistance in the UK. J Antimicrob Chemother 2020; 75(11): 33113318. https://doi.org/10.1093/jac/dkaa309.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 25.

    Joint United Nations Programme on HIV/AIDS (UNAIDS). 90-90-90 — anambitious treatment target to help end the AIDS epidemic 2014. https://www.unaids.org/sites/default/files/media_asset/90-90-90_en.pdf.

    • Search Google Scholar
    • Export Citation
  • 26.

    Marsh K, Eaton JW, Mahy M, Sabin K, Autenrieth CS, Wanyeki I, et al.. Global, regional and country-level 90-90-90 estimates for 2018: assessing progress towards the 2020 target. AIDS 2019; 33(Suppl 3): S213S226. https://doi.org/10.1097/qad.0000000000002355.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 27.

    Beloukas A, Psarris A, Giannelou P, Kostaki E, Hatzakis A, Paraskevis D. Molecular epidemiology of HIV-1 infection in Europe: an overview. Infect Genet Evol 2016; 46: 180189. https://doi.org/10.1016/j.meegid.2016.06.033.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 28.

    Lunar MM, Židovec Lepej S, Tomažič J, Vovko TD, Pečavar B, Turel G, et al.. HIV-1 transmitted drug resistance in Slovenia and its impact on predicted treatment effectiveness: 2011–2016 update. PLoS One 2018; 13(4): e0196670. https://doi.org/10.1371/journal.pone.0196670.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 29.

    Hauser A, Hofmann A, Meixenberger K, Altmann B, Hanke K, Bremer V, et al.. Increasing proportions of HIV-1 non-B subtypes and of NNRTI resistance between 2013 and 2016 in Germany: results from the national molecular surveillance of new HIV-diagnoses. PLoS One 2018; 13(11): e0206234 https://doi.org/10.1371/journal.pone.0206234.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 30.

    Temereanca A, Ene L, Mehta S, Manolescu L, Duiculescu D, Ruta S. Transmitted HIV drug resistance in treatment-naive Romanian patients. J Med Virol 2013; 85(7): 11391147. https://doi.org/10.1002/jmv.23572.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 31.

    The UK Collaborative Group on HIV Drug Resistance. The increasing genetic diversity of HIV-1 in the UK, 2002–2010. AIDS 2014; 28(5): 773780. https://doi.org/10.1097/qad.0000000000000119.

    • Crossref
    • Search Google Scholar
    • Export Citation
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Senior editors

Editor-in-Chief: Prof. Dóra Szabó (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)

Managing Editor: Dr. Béla Kocsis (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)

Co-editor: Dr. Andrea Horváth (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)

Editorial Board

  • Prof. Éva ÁDÁM (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)
  • Prof. Sebastian AMYES (Department of Medical Microbiology, University of Edinburgh, Edinburgh, UK.)
  • Dr. Katalin BURIÁN (Institute of Clinical Microbiology University of Szeged, Szeged, Hungary; Department of Medical Microbiology and Immunobiology, University of Szeged, Szeged, Hungary.)
  • Dr. Orsolya DOBAY (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)
  • Prof. Ildikó Rita DUNAY (Institute of Inflammation and Neurodegeneration, Medical Faculty, Otto-von-Guericke University, Magdeburg, Germany; Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany)
  • Prof. Levente EMŐDY(Department of Medical Microbiology and Immunology, University of Pécs, Pécs, Hungary.)
  • Prof. Anna ERDEI (Department of Immunology, Eötvös Loránd University, Budapest, Hungary, MTA-ELTE Immunology Research Group, Eötvös Loránd University, Budapest, Hungary.)
  • Prof. Éva Mária FENYŐ (Division of Medical Microbiology, University of Lund, Lund, Sweden)
  • Prof. László FODOR (Department of Microbiology and Infectious Diseases, University of Veterinary Medicine, Budapest, Hungary)
  • Prof. József KÓNYA (Department of Medical Microbiology, University of Debrecen, Debrecen, Hungary)
  • Prof. Yvette MÁNDI (Department of Medical Microbiology and Immunobiology, University of Szeged, Szeged, Hungary)
  • Prof. Károly MÁRIALIGETI (Department of Microbiology, Eötvös Loránd University, Budapest, Hungary)
  • Prof. János MINÁROVITS (Department of Oral Biology and Experimental Dental Research, University of Szeged, Szeged, Hungary)
  • Prof. Béla NAGY (Centre for Agricultural Research, Institute for Veterinary Medical Research, Budapest, Hungary.)
  • Prof. István NÁSZ (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)
  • Prof. Kristóf NÉKÁM (Hospital of the Hospitaller Brothers in Buda, Budapest, Hungary.)
  • Dr. Eszter OSTORHÁZI (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)
  • Prof. Rozália PUSZTAI (Department of Medical Microbiology and Immunobiology, University of Szeged, Szeged, Hungary)
  • Prof. Peter L. RÁDY (Department of Dermatology, University of Texas, Houston, Texas, USA)
  • Prof. Éva RAJNAVÖLGYI (Department of Immunology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary)
  • Prof. Ferenc ROZGONYI (Institute of Laboratory Medicine, Semmelweis University, Budapest, Hungary)
  • Prof. Joseph G. SINKOVICS (The Cancer Institute, St. Joseph’s Hospital, Tampa, Florida, USA)
  • Prof. Júlia SZEKERES (Department of Medical Biology, University of Pécs, Pécs, Hungary.)
  • Prof. Mária TAKÁCS (National Reference Laboratory for Viral Zoonoses, National Public Health Center, Budapest, Hungary.)
  • Prof. Edit URBÁN (Department of Medical Microbiology and Immunology University of Pécs, Pécs, Hungary; Institute of Translational Medicine, University of Pécs, Pécs, Hungary.)

 

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Acta Microbiologica et Immunologica Hungarica
Institute of Medical Microbiology
Semmelweis University
P.O. Box 370
H-1445 Budapest, Hungary
Phone: + 36 1 459 1500 ext. 56101
Fax: (36 1) 210 2959
E-mail: amih@med.semmelweis-univ.hu

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Acta Microbiologica et Immunologica Hungarica
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Acta Microbiologica et Immunologica Hungarica
Language English
Size A4
Year of
Foundation
1954
Volumes
per Year
1
Issues
per Year
4
Founder Magyar Tudományos Akadémia
Founder's
Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 1217-8950 (Print)
ISSN 1588-2640 (Online)

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