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Balakrishna S, Loosli T, Zaheri M, Frischknecht P, Huber M, Kusejko K, Yerly S, Leuzinger K, Perreau M, Ramette A, Wymant C, Fraser C, Kellam P, Gall A, Hirsch HH, Stoeckle M, Rauch A, Cavassini M, Bernasconi E, Notter J, Calmy A, Günthard HF, Metzner KJ, Kouyos RD. Frequency matters: comparison of drug resistance mutation detection by Sanger and next-generation sequencing in HIV-1. J Antimicrob Chemother 2023; 78:656-664. [PMID: 36738248 DOI: 10.1093/jac/dkac430] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 11/18/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Next-generation sequencing (NGS) is gradually replacing Sanger sequencing (SS) as the primary method for HIV genotypic resistance testing. However, there are limited systematic data on comparability of these methods in a clinical setting for the presence of low-abundance drug resistance mutations (DRMs) and their dependency on the variant-calling thresholds. METHODS To compare the HIV-DRMs detected by SS and NGS, we included participants enrolled in the Swiss HIV Cohort Study (SHCS) with SS and NGS sequences available with sample collection dates ≤7 days apart. We tested for the presence of HIV-DRMs and compared the agreement between SS and NGS at different variant-calling thresholds. RESULTS We included 594 pairs of SS and NGS from 527 SHCS participants. Males accounted for 80.5% of the participants, 76.3% were ART naive at sample collection and 78.1% of the sequences were subtype B. Overall, we observed a good agreement (Cohen's kappa >0.80) for HIV-DRMs for variant-calling thresholds ≥5%. We observed an increase in low-abundance HIV-DRMs detected at lower thresholds [28/417 (6.7%) at 10%-25% to 293/812 (36.1%) at 1%-2% threshold]. However, such low-abundance HIV-DRMs were overrepresented in ART-naive participants and were in most cases not detected in previously sampled sequences suggesting high sequencing error for thresholds <3%. CONCLUSIONS We found high concordance between SS and NGS but also a substantial number of low-abundance HIV-DRMs detected only by NGS at lower variant-calling thresholds. Our findings suggest that a substantial fraction of the low-abundance HIV-DRMs detected at thresholds <3% may represent sequencing errors and hence should not be overinterpreted in clinical practice.
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Affiliation(s)
- Suraj Balakrishna
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Tom Loosli
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Maryam Zaheri
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Swiss National Center for Retroviruses, University of Zurich, Zurich, Switzerland
| | - Paul Frischknecht
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Michael Huber
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Swiss National Center for Retroviruses, University of Zurich, Zurich, Switzerland
| | - Katharina Kusejko
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Sabine Yerly
- Laboratory of Virology, University Hospital Geneva, University of Geneva, Geneva, Switzerland
| | - Karoline Leuzinger
- Clinical Virology Division, Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | - Matthieu Perreau
- Division of Immunology and Allergy, University Hospital Lausanne, University of Lausanne, Lausanne, Switzerland
| | - Alban Ramette
- Institute for Infectious Diseases, University of Bern, Bern, Switzerland
| | - Chris Wymant
- Nuffield Department of Medicine, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Christophe Fraser
- Nuffield Department of Medicine, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.,Nuffield Department of Medicine, Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Paul Kellam
- Department of Infectious Diseases, Faculty of Medicine, Imperial College London, London, UK
| | - Astrid Gall
- Excellence in Life Sciences (EMBO), Heidelberg, Germany
| | - Hans H Hirsch
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Marcel Stoeckle
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Andri Rauch
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Matthias Cavassini
- Division of Infectious Diseases, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland
| | - Julia Notter
- Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St Gallen, St Gallen, Switzerland
| | - Alexandra Calmy
- Division of Infectious Diseases, University Hospital Geneva, University of Geneva, Geneva, Switzerland
| | - Huldrych F Günthard
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Karin J Metzner
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Roger D Kouyos
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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2
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Novitsky V, Nyandiko W, Vreeman R, DeLong AK, Manne A, Scanlon M, Ngeresa A, Aluoch J, Sang F, Ashimosi C, Jepkemboi E, Orido M, Hogan JW, Kantor R. Added Value of Next Generation over Sanger Sequencing in Kenyan Youth with Extensive HIV-1 Drug Resistance. Microbiol Spectr 2022; 10:e0345422. [PMID: 36445146 PMCID: PMC9769539 DOI: 10.1128/spectrum.03454-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 11/16/2022] [Indexed: 12/03/2022] Open
Abstract
HIV-1 drug resistance testing in children and adolescents in low-resource settings is both important and challenging. New (more sensitive) drug resistance testing technologies may improve clinical care, but evaluation of their added value is limited. We assessed the potential added value of using next-generation sequencing (NGS) over Sanger sequencing for detecting nucleoside reverse transcriptase inhibitor (NRTI) and nonnucleoside reverse transcriptase inhibitor (NNRTI) drug resistance mutations (DRMs). Participants included 132 treatment-experienced Kenyan children and adolescents with diverse HIV-1 subtypes and with already high levels of drug resistance detected by Sanger sequencing. We examined overall and DRM-specific resistance and its predicted impact on antiretroviral therapy and evaluated the discrepancy between Sanger sequencing and six NGS thresholds (1%, 2%, 5%, 10%, 15%, and 20%). Depending on the NGS threshold, agreement between the two technologies was 62% to 88% for any DRM, 83% to 92% for NRTI DRMs, and 73% to 94% for NNRTI DRMs, with more DRMs detected at low NGS thresholds. NGS identified 96% to 100% of DRMs detected by Sanger sequencing, while Sanger identified 83% to 99% of DRMs detected by NGS. Higher discrepancy between technologies was associated with higher DRM prevalence. Even in this resistance-saturated cohort, 12% of participants had higher, potentially clinically relevant predicted resistance detected only by NGS. These findings, in a young, vulnerable Kenyan population with diverse HIV-1 subtypes and already high resistance levels, suggest potential benefits of more sensitive NGS over existing technology. Good agreement between technologies at high NGS thresholds supports their interchangeable use; however, the significance of DRMs identified at lower thresholds to patient care should be explored further. IMPORTANCE HIV-1 drug resistance in children and adolescents remains a significant problem in countries facing the highest burden of the HIV epidemic. Surveillance of HIV-1 drug resistance in children and adolescents is an important public health strategy, particularly in resource-limited settings, and yet, it is limited due mostly to cost and infrastructure constraints. Whether newer and more sensitive next-generation sequencing (NGS) adds substantial value beyond traditional Sanger sequencing in detecting HIV-1 drug resistance in real life settings remains an open and debatable question. In this paper, we attempt to address this issue by performing a comprehensive comparison of drug resistance identified by Sanger sequencing and six NGS thresholds. We conducted this study in a well-characterized, vulnerable cohort of children and adolescents living with diverse HIV-1 subtypes in Kenya and, importantly, failing antiretroviral therapy (ART) with already extensive drug resistance. Our findings suggest a potential added value of NGS over Sanger even in this unique cohort.
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Affiliation(s)
- V. Novitsky
- Brown University, Providence, Rhode Island, USA
| | - W. Nyandiko
- Academic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya
- Moi University, Eldoret, Kenya
| | - R. Vreeman
- Academic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Arnhold Institute for Global Health, New York, New York, USA
| | | | - A. Manne
- Brown University, Providence, Rhode Island, USA
| | - M. Scanlon
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Arnhold Institute for Global Health, New York, New York, USA
| | - A. Ngeresa
- Academic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya
| | - J. Aluoch
- Academic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya
| | - F. Sang
- Academic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya
| | - C. Ashimosi
- Academic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya
| | - E. Jepkemboi
- Academic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya
| | - M. Orido
- Academic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya
| | - J. W. Hogan
- Brown University, Providence, Rhode Island, USA
| | - R. Kantor
- Brown University, Providence, Rhode Island, USA
| | - for the RESistance in a PEdiatric CohorT (RESPECT) Study
- Brown University, Providence, Rhode Island, USA
- Academic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya
- Moi University, Eldoret, Kenya
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Arnhold Institute for Global Health, New York, New York, USA
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3
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Chu C, Armenia D, Walworth C, Santoro MM, Shafer RW. Genotypic Resistance Testing of HIV-1 DNA in Peripheral Blood Mononuclear Cells. Clin Microbiol Rev 2022; 35:e0005222. [PMID: 36102816 PMCID: PMC9769561 DOI: 10.1128/cmr.00052-22] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
HIV-1 DNA exists in nonintegrated linear and circular episomal forms and as integrated proviruses. In patients with plasma viremia, most peripheral blood mononuclear cell (PBMC) HIV-1 DNA consists of recently produced nonintegrated virus DNA while in patients with prolonged virological suppression (VS) on antiretroviral therapy (ART), most PBMC HIV-1 DNA consists of proviral DNA produced months to years earlier. Drug-resistance mutations (DRMs) in PBMCs are more likely to coexist with ancestral wild-type virus populations than they are in plasma, explaining why next-generation sequencing is particularly useful for the detection of PBMC-associated DRMs. In patients with ongoing high levels of active virus replication, the DRMs detected in PBMCs and in plasma are usually highly concordant. However, in patients with lower levels of virus replication, it may take several months for plasma virus DRMs to reach detectable levels in PBMCs. This time lag explains why, in patients with VS, PBMC genotypic resistance testing (GRT) is less sensitive than historical plasma virus GRT, if previous episodes of virological failure and emergent DRMs were either not prolonged or not associated with high levels of plasma viremia. Despite the increasing use of PBMC GRT in patients with VS, few studies have examined the predictive value of DRMs on the response to a simplified ART regimen. In this review, we summarize what is known about PBMC HIV-1 DNA dynamics, particularly in patients with suppressed plasma viremia, the methods used for PBMC HIV-1 GRT, and the scenarios in which PBMC GRT has been used clinically.
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Affiliation(s)
- Carolyn Chu
- Department of Family and Community Medicine, University of California San Francisco, San Francisco, California, USA
| | - Daniele Armenia
- UniCamillus, Saint Camillus International University of Health Sciences, Rome, Italy
| | - Charles Walworth
- LabCorp-Monogram Biosciences, South San Francisco, California, USA
| | - Maria M. Santoro
- Department of Experimental Medicine, University of Rome “Tor Vergata”, Rome, Italy
| | - Robert W. Shafer
- Division of Infectious Diseases, Department of Medicine, Stanford University, Stanford, California, USA
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4
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HIV-1 Drug Resistance Assay Using Ion Torrent Next Generation Sequencing and On-Instrument End-to-End Analysis Software. J Clin Microbiol 2022; 60:e0025322. [PMID: 35699434 DOI: 10.1128/jcm.00253-22] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
HIV-1 antiretroviral therapy management requires sequencing the protease, reverse transcriptase, and integrase portions of the HIV-1 pol gene. Most resistance testing is performed with Sanger sequencing, which has limited ability to detect minor variants. Next generation sequencing (NGS) platforms enable variant detection at frequencies as low as 1% allowing for earlier detection of resistance and modification of therapy. Implementation of NGS assays in the clinical laboratory is hindered by complicated assay design, cumbersome wet bench procedures, and the complexity of data analysis and bioinformatics. We developed a complete NGS protocol and companion analysis and reporting pipeline using AmpliSeq multiplex PCR, Ion Torrent S5 XL sequencing, and Stanford's HIVdb resistance algorithm. Implemented as a Torrent Suite software plugin, the pipeline runs automatically after sequencing. An optimum variant frequency threshold of 10% was determined by comparing Sanger sequences of archived samples from ViroSeq testing, resulting in a sensitivity of 98.2% and specificity of 99.0%. The majority (91%) of drug resistance mutations were detected by both Sanger and NGS, with 1.7% only by Sanger and 7.3% only by NGS. Variant calls were highly reproducible and there was no cross-reactivity to VZV, HBV, CMV, EBV, and HCV. The limit of detection was 500 copies/mL. The NGS assay performance was comparable to ViroSeq Sanger sequencing and has several advantages, including a publicly available end-to-end analysis and reporting plugin. The assay provides a straightforward path for implementation of NGS for HIV drug resistance testing in the laboratory setting without additional investment in bioinformatics infrastructure and resources.
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5
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Li M, Liang S, Zhou C, Chen M, Liang S, Liu C, Zuo Z, Liu L, Feng Y, Song C, Xing H, Ruan Y, Shao Y, Liao L. HIV Drug Resistance Mutations Detection by Next-Generation Sequencing during Antiretroviral Therapy Interruption in China. Pathogens 2021; 10:pathogens10030264. [PMID: 33668946 PMCID: PMC7996606 DOI: 10.3390/pathogens10030264] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 02/17/2021] [Accepted: 02/20/2021] [Indexed: 11/24/2022] Open
Abstract
Patients with antiretroviral therapy interruption have a high risk of virological failure when re-initiating antiretroviral therapy (ART), especially those with HIV drug resistance. Next-generation sequencing may provide close scrutiny on their minority drug resistance variant. A cross-sectional study was conducted in patients with ART interruption in five regions in China in 2016. Through Sanger and next-generation sequencing in parallel, HIV drug resistance was genotyped on their plasma samples. Rates of HIV drug resistance were compared by the McNemar tests. In total, 174 patients were included in this study, with a median 12 (interquartile range (IQR), 6–24) months of ART interruption. Most (86.2%) of them had received efavirenz (EFV)/nevirapine (NVP)-based first-line therapy for a median 16 (IQR, 7–26) months before ART interruption. Sixty-one (35.1%) patients had CRF07_BC HIV-1 strains, 58 (33.3%) CRF08_BC and 35 (20.1%) CRF01_AE. Thirty-four (19.5%) of the 174 patients were detected to harbor HIV drug-resistant variants on Sanger sequencing. Thirty-six (20.7%), 37 (21.3%), 42 (24.1%), 79 (45.4%) and 139 (79.9) patients were identified to have HIV drug resistance by next-generation sequencing at 20% (v.s. Sanger, p = 0.317), 10% (v.s. Sanger, p = 0.180), 5% (v.s. Sanger, p = 0.011), 2% (v.s. Sanger, p < 0.001) and 1% (v.s. Sanger, p < 0.001) of detection thresholds, respectively. K65R was the most common minority mutation, of 95.1% (58/61) and 93.1% (54/58) in CRF07_BC and CRF08_BC, respectively, when compared with 5.7% (2/35) in CRF01_AE (p < 0.001). In 49 patients that followed-up a median 10 months later, HIV drug resistance mutations at >20% frequency such as K103N, M184VI and P225H still existed, but with decreased frequencies. The prevalence of HIV drug resistance in ART interruption was higher than 15% in the survey. Next-generation sequencing was able to detect more minority drug resistance variants than Sanger. There was a sharp increase in minority drug resistance variants when the detection threshold was below 5%.
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Affiliation(s)
- Miaomiao Li
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (M.L.); (Z.Z.); (L.L.); (Y.F.); (C.S.); (H.X.); (Y.R.); (Y.S.)
| | - Shujia Liang
- Guangxi Center for Disease Control and Prevention, Nanning 530028, China;
| | - Chao Zhou
- Chongqing Center for Disease Control and Prevention, Chongqing 400042, China;
| | - Min Chen
- Yunnan Center for Disease Control and Prevention, Kunming 650022, China;
| | - Shu Liang
- Sichuan Center for Disease Control and Prevention, Chengdu 610041, China;
| | - Chunhua Liu
- Henan Center for Disease Control and Prevention, Zhengzhou 450016, China;
| | - Zhongbao Zuo
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (M.L.); (Z.Z.); (L.L.); (Y.F.); (C.S.); (H.X.); (Y.R.); (Y.S.)
| | - Lei Liu
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (M.L.); (Z.Z.); (L.L.); (Y.F.); (C.S.); (H.X.); (Y.R.); (Y.S.)
| | - Yi Feng
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (M.L.); (Z.Z.); (L.L.); (Y.F.); (C.S.); (H.X.); (Y.R.); (Y.S.)
| | - Chang Song
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (M.L.); (Z.Z.); (L.L.); (Y.F.); (C.S.); (H.X.); (Y.R.); (Y.S.)
| | - Hui Xing
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (M.L.); (Z.Z.); (L.L.); (Y.F.); (C.S.); (H.X.); (Y.R.); (Y.S.)
| | - Yuhua Ruan
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (M.L.); (Z.Z.); (L.L.); (Y.F.); (C.S.); (H.X.); (Y.R.); (Y.S.)
| | - Yiming Shao
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (M.L.); (Z.Z.); (L.L.); (Y.F.); (C.S.); (H.X.); (Y.R.); (Y.S.)
| | - Lingjie Liao
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (M.L.); (Z.Z.); (L.L.); (Y.F.); (C.S.); (H.X.); (Y.R.); (Y.S.)
- Correspondence:
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MacLeod IJ, Rowley CF, Essex M. PANDAA intentionally violates conventional qPCR design to enable durable, mismatch-agnostic detection of highly polymorphic pathogens. Commun Biol 2021; 4:227. [PMID: 33603155 PMCID: PMC7892852 DOI: 10.1038/s42003-021-01751-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 12/21/2020] [Indexed: 02/06/2023] Open
Abstract
Sensitive and reproducible diagnostics are fundamental to containing the spread of existing and emerging pathogens. Despite the reliance of clinical virology on qPCR, technical challenges persist that compromise their reliability for sustainable epidemic containment as sequence instability in probe-binding regions produces false-negative results. We systematically violated canonical qPCR design principles to develop a Pan-Degenerate Amplification and Adaptation (PANDAA), a point mutation assay that mitigates the impact of sequence variation on probe-based qPCR performance. Using HIV-1 as a model system, we optimized and validated PANDAA to detect HIV drug resistance mutations (DRMs). Ultra-degenerate primers with 3' termini overlapping the probe-binding site adapt the target through site-directed mutagenesis during qPCR to replace DRM-proximal sequence variation. PANDAA-quantified DRMs present at frequency ≥5% (2 h from nucleic acid to result) with a sensitivity and specificity of 96.9% and 97.5%, respectively. PANDAA is an innovative advancement with applicability to any pathogen where target-proximal genetic variability hinders diagnostic development.
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Affiliation(s)
- Iain J MacLeod
- Department of Immunology and Infectious Diseases, Harvard TH Chan School of Public Health, Boston, MA, USA.
- Botswana-Harvard AIDS Institute Partnership, Private Bag, Gaborone, Botswana.
| | - Christopher F Rowley
- Department of Immunology and Infectious Diseases, Harvard TH Chan School of Public Health, Boston, MA, USA
- Botswana-Harvard AIDS Institute Partnership, Private Bag, Gaborone, Botswana
- Division of Infectious Diseases, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - M Essex
- Department of Immunology and Infectious Diseases, Harvard TH Chan School of Public Health, Boston, MA, USA
- Botswana-Harvard AIDS Institute Partnership, Private Bag, Gaborone, Botswana
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Gholami M, Rouzbahani N, Samiee S, Tayeri K, Ghorban K, Dehkharghani AD, Gholami AA, Moshiri F, Sattari A, Dadmanesh M, Mohraz M. HIV-1 drug resistance mutations detection and HIV-1 subtype G report by using next-generation sequencing platform. Microb Pathog 2020; 146:104221. [PMID: 32360523 DOI: 10.1016/j.micpath.2020.104221] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 04/15/2020] [Accepted: 04/20/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Based on world health organization (WHO) recommend, drug resistance assay should be performed in initial of treatment and after treatment for administering and monitoring of anti-retroviral regime in HIV-1 infected patients. MATERIAL AND METHOD NGS analyses were performed on forty-one plasma samples from HIV-1 affected patients using the Sentosa SQ HIV genotyping assay (Vela-Diagnostics, Germany). This system comprises a semi-automated Ion torrent based platform and the sequencing results were analyzed based on ANRS, REGA and Stanford drug resistance algorithms. Phylogenetic analysis was analyzed based on https://comet.lih.lu database as well as MEGA5 Software. RESULTS Drug resistances were identified in thirty-three samples (80%) out of forty-one samples. The Phylogenetic analysis results showed that CRF-35AD (94%) and subtypes B (2.4%) and G (2.4%) were dominant subtypes in this study. NRTI and NNRTI associated dominant mutations were M184I/V and K103 N.High-level resistance to lamivudine (3 TC) and Emtricitabine (FTC) were detected in 34.3% of patients while 53.1% were resistant to Efavirenz (EFV) and Nevirapine (NVP). The Protease inhibitor (PI) minor and major mutations were not reported but more than 95% of samples had polymorphisms mutation in K20R, M36I, H69K, L89 M positions. These mutations are subtype dependent and completely are absent in subtype B virus. The secondary mutations were reported in positions of E157Q, S230 N, and T97A of integrase gene and four samples represent low-level resistance to integrase strand transfer inhibitor (INSTI). CONCLUSIONS This is the first preliminary evaluation of HIV-1 drug resistance mutation (DRM) by using the Sentosa SQ HIV Genotyping Assay in Iran. The NGS represent a promising tool for the accurate detection of DRMs of CRF-35AD that is dominant subtype in Iranian HIV-1 infected population and for the first time revealed HIV-1 subtype G in Iranian population. In the present study polymorphic mutation in the position of K20R, M36I, H69K, L89 M were properly reported in CRF35AD that is dominant in Iranian HIV patients.
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Affiliation(s)
- Mohammad Gholami
- Department of Microbiology, Faculty of Medicine, Aja University of Medical Sciences, Tehran, Iran; Iranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High-Risk Behaviors, Tehran University of Medical Sciences, Tehran, Iran.
| | - NeginHosseini Rouzbahani
- Department of Immunology, Faculty of Medicine, Aja University of Medical Sciences, Tehran, Iran; Iranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High-Risk Behaviors, Tehran University of Medical Sciences, Tehran, Iran.
| | - SiamakMirab Samiee
- Food and Drug Laboratory Research Center, Ministry of Health and Medical Education, Tehran, Iran.
| | - Katayoun Tayeri
- Iranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High-Risk Behaviors, Tehran University of Medical Sciences, Tehran, Iran.
| | - Khodayar Ghorban
- Department of Immunology, Faculty of Medicine, Aja University of Medical Sciences, Tehran, Iran; Department of Infectious Disease Research Center, Faculty of Medicine, Aja University of Medical Sciences, Tehran, Iran.
| | | | - Ali Akbar Gholami
- Department of Laboratory Sciences, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran.
| | - Farzaneh Moshiri
- Department of Molecular Medicine, School of Advance Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
| | - Arash Sattari
- Department of Medical Sciences, Gorgan Branch, Islamic Azad University, Gorgan, Iran.
| | - Maryam Dadmanesh
- Department of Infectious Disease Research Center, Faculty of Medicine, Aja University of Medical Sciences, Tehran, Iran.
| | - Minoo Mohraz
- Iranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High-Risk Behaviors, Tehran University of Medical Sciences, Tehran, Iran.
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Chen NY, Kao SW, Liu ZH, Wu TS, Tsai CL, Lin HH, Wong WW, Chang YY, Chen SS, Ku SWW. Shall I trust the report? Variable performance of Sanger sequencing revealed by deep sequencing on HIV drug resistance mutation detection. Int J Infect Dis 2020; 93:182-191. [PMID: 32061862 DOI: 10.1016/j.ijid.2020.02.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 01/31/2020] [Accepted: 02/06/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND The clinical utilisation of deep sequencing in HIV treatment has been hindered due to its unknown correlation with standard Sanger genotyping and the undetermined value of minority drug resistance mutation (DRM) detection. OBJECTIVES To compare deep sequencing performance to standard Sanger genotyping with clinical samples, in an effort to delineate the correlation between the results from the two methods and to find the optimal deep sequencing threshold for clinical utilisation. METHODS We conducted a retrospective study using stored plasma collected from August 2014 to March 2018 for HIV genotyping with the commercial Sanger genotyping kit. Samples with available Sanger genotyping reports were further deep sequenced. Drug resistance was interpreted according to the Stanford HIV drug resistance database algorithm. RESULTS At 15-25% minority detection thresholds, 9-15% cases had underestimated DRMs by Sanger sequencing. The concordance between the Sanger and deep sequencing reports was 68-82% in protease-reverse transcriptase region and 88-97% in integrase region at 5-25% thresholds. The undetected drug resistant minority variants by Sanger sequencing contributed to the lower negative predictive value of Sanger genotyping in cases harbouring DRMs. CONCLUSIONS Use of deep sequencing improved detection of antiretroviral resistance mutations especially in cases with virological failure or previous treatment interruption. Deep sequencing with 10-15% detection thresholds may be considered a suitable substitute for Sanger sequencing on antiretroviral DRM detection.
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Affiliation(s)
- Nan-Yu Chen
- Division of Infectious Diseases, Department of Internal Medicine, Chang Gung Memorial Hospital Linkou Branch, Chang Gung University College of Medicine, Taiwan
| | - Shu-Wei Kao
- Division of Infectious Diseases, Department of Internal Medicine, Chang Gung Memorial Hospital Linkou Branch, Chang Gung University College of Medicine, Taiwan
| | - Zhuo-Hao Liu
- Department of Neurosurgery, Chang Gung Memorial Hospital Linkou Branch, Taiwan
| | - Ting-Shu Wu
- Division of Infectious Diseases, Department of Internal Medicine, Chang Gung Memorial Hospital Linkou Branch, Chang Gung University College of Medicine, Taiwan
| | - Chia-Lung Tsai
- Genomic Medicine Research Core Laboratory, Chang Gung Memorial Hospital, Taiwan
| | - Hsi-Hsun Lin
- General Clinical Research Centre, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Public Health, School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Wing-Wai Wong
- Division of Infectious Diseases, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yea-Yuan Chang
- Division of Infectious Diseases, Department of Internal Medicine, National Yang-Ming University Hospital, Yilan, Taiwan; Institute of Clinical Medicine and AIDS Prevention and Research Centre, National Yang-Ming University, Taipei, Taiwan; Faculty of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan; Division of Infectious Diseases, Department of Medicine, Taipei City Hospital Ren-Ai Branch, Taiwan
| | - Shu-Sheng Chen
- Division of Infectious Diseases, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Stephane Wen-Wei Ku
- Division of Infectious Diseases, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Division of Infectious Diseases, Department of Medicine, Taipei City Hospital Ren-Ai Branch, Taiwan.
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9
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Pérez-Losada M, Arenas M, Galán JC, Bracho MA, Hillung J, García-González N, González-Candelas F. High-throughput sequencing (HTS) for the analysis of viral populations. INFECTION GENETICS AND EVOLUTION 2020; 80:104208. [PMID: 32001386 DOI: 10.1016/j.meegid.2020.104208] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 01/21/2020] [Accepted: 01/24/2020] [Indexed: 12/12/2022]
Abstract
The development of High-Throughput Sequencing (HTS) technologies is having a major impact on the genomic analysis of viral populations. Current HTS platforms can capture nucleic acid variation across millions of genes for both selected amplicons and full viral genomes. HTS has already facilitated the discovery of new viruses, hinted new taxonomic classifications and provided a deeper and broader understanding of their diversity, population and genetic structure. Hence, HTS has already replaced standard Sanger sequencing in basic and applied research fields, but the next step is its implementation as a routine technology for the analysis of viruses in clinical settings. The most likely application of this implementation will be the analysis of viral genomics, because the huge population sizes, high mutation rates and very fast replacement of viral populations have demonstrated the limited information obtained with Sanger technology. In this review, we describe new technologies and provide guidelines for the high-throughput sequencing and genetic and evolutionary analyses of viral populations and metaviromes, including software applications. With the development of new HTS technologies, new and refurbished molecular and bioinformatic tools are also constantly being developed to process and integrate HTS data. These allow assembling viral genomes and inferring viral population diversity and dynamics. Finally, we also present several applications of these approaches to the analysis of viral clinical samples including transmission clusters and outbreak characterization.
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Affiliation(s)
- Marcos Pérez-Losada
- Computational Biology Institute, Milken Institute School of Public Health, George Washington University, Washington, DC, USA; CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, Vairão 4485-661, Portugal
| | - Miguel Arenas
- Department of Biochemistry, Genetics and Immunology, University of Vigo, 36310 Vigo, Spain; Biomedical Research Center (CINBIO), University of Vigo, 36310 Vigo, Spain.
| | - Juan Carlos Galán
- Microbiology Service, Hospital Ramón y Cajal, Madrid, Spain; CIBER in Epidemiology and Public Health, Spain.
| | - Mª Alma Bracho
- CIBER in Epidemiology and Public Health, Spain; Joint Research Unit "Infection and Public Health" FISABIO-University of Valencia, Valencia, Spain.
| | - Julia Hillung
- Joint Research Unit "Infection and Public Health" FISABIO-University of Valencia, Valencia, Spain; Institute for Integrative Systems Biology (I2SysBio), CSIC-University of Valencia, Valencia, Spain.
| | - Neris García-González
- Joint Research Unit "Infection and Public Health" FISABIO-University of Valencia, Valencia, Spain; Institute for Integrative Systems Biology (I2SysBio), CSIC-University of Valencia, Valencia, Spain.
| | - Fernando González-Candelas
- CIBER in Epidemiology and Public Health, Spain; Joint Research Unit "Infection and Public Health" FISABIO-University of Valencia, Valencia, Spain; Institute for Integrative Systems Biology (I2SysBio), CSIC-University of Valencia, Valencia, Spain.
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10
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Chen Y, Hora B, DeMarco T, Berba R, Register H, Hood S, Carter M, Stone M, Pappas A, Sanchez AM, Busch M, Denny TN, Gao F. Increased predominance of HIV-1 CRF01_AE and its recombinants in the Philippines. J Gen Virol 2019; 100:511-522. [PMID: 30676308 PMCID: PMC7011713 DOI: 10.1099/jgv.0.001198] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Accepted: 11/20/2018] [Indexed: 12/28/2022] Open
Abstract
The growth rate of new HIV infections in the Philippines was the fastest of any countries in the Asia-Pacific region between 2010 and 2016. To date, HIV-1 subtyping results in the Philippines have been determined by characterizing only partial viral genome sequences. It is not known whether recombination occurs in the majority of unsequenced genome regions. Near-full-length genome (NFLG) sequences were obtained by amplifying two overlapping half genomes from plasma samples collected between 2015 and 2017 from 23 newly diagnosed infected individuals in the Philippines. Phylogenetic analysis showed that the newly characterized sequences were CRF01_AE (14), subtype B (3), CRF01/B recombinants (5) and a CRF01/CRF07/B recombinant (1). All 14 CRF01_AE formed a tight cluster, suggesting that they were derived from a single introduction. The time to the most recent common ancestor (tMRCA) for CRF01_AE in the Philippines was 1995 (1992-1998), about 10-15 years later than that of CRF01_AE in China and Thailand. All five CRF01/B recombinants showed distinct recombination patterns, suggesting ongoing recombination between the two predominant circulating viruses. The identification of partial CRF07_BC sequences in one CRF01/CRF07/B recombinant, not reported previously in the Philippines, indicated that CRF07_BC may have been recently introduced into that country from China, where CRF07_BC is prevalent. Our results show that the major epidemic strains may have shifted to an increased predominance of CRF01_AE and its recombinants, and that other genotypes such as CRF07_BC may have been introduced into the Philippines.
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Affiliation(s)
- Yue Chen
- Department of Medicine, Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA
| | - Bhavna Hora
- Department of Medicine, Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA
| | - Todd DeMarco
- Department of Medicine, Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA
| | - Regina Berba
- I-REACT Clinic, Section of Infectious Diseases, Department of Medicine, The Medical City, 1605 Pasig City, Philippines
| | - Heidi Register
- Department of Medicine, Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA
| | - Sylvia Hood
- Department of Medicine, Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA
| | - Meredith Carter
- Department of Medicine, Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA
| | - Mars Stone
- Blood Systems Research Institute, San Francisco, CA 94118, USA
| | - Andrea Pappas
- Department of Medicine, Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA
| | - Ana M. Sanchez
- Department of Medicine, Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA
| | - Michael Busch
- Blood Systems Research Institute, San Francisco, CA 94118, USA
| | - Thomas N. Denny
- Department of Medicine, Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA
| | - Feng Gao
- Department of Medicine, Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA
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11
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Dessilly G, Goeminne L, Vandenbroucke AT, Dufrasne FE, Martin A, Kabamba-Mukabi B. First evaluation of the Next-Generation Sequencing platform for the detection of HIV-1 drug resistance mutations in Belgium. PLoS One 2018; 13:e0209561. [PMID: 30596682 PMCID: PMC6312258 DOI: 10.1371/journal.pone.0209561] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 11/12/2018] [Indexed: 12/31/2022] Open
Abstract
Introduction The WHO urges action against the threat posed by HIV drug resistance. It is well known that the sensitivity of Next-Generation Sequencing (NGS) is greater than that of Sanger Sequencing (SS). The objective of this study was to evaluate the performance of the novel NGS HIV-1 drug resistance monitoring system. Materials & methods NGS analyses were performed on 67 plasma samples from HIV-1 infected patients using the Sentosa SQ HIV Genotyping Assay from Vela-Dx. This kit was used on a semi-automated Ion Torrent-based platform. Sequences were compared to those obtained by SS. Samples were analysed in the same and in separate runs. Quality controls (QC) were added to control sequencing processes of protease (PRO), reverse transcriptase (RT) and integrase (INT) regions. Results Of the 41 analysed samples, 33 (80.5%) had identical drug resistance interpretation reports. Discrepant results were observed for eight samples. Five of them were only detected by NGS and had drug resistance mutations (DRMs) with an allelic frequency below the limit of detection of the SS method (between 6.3 to 20.5%). Two DRMs were only identified using the SS method. The sequences were similar in 98.2% of cases (counting variants as mismatches) and homologous in 99.9% if missed variants. Duplicated samples in a single run were similar in 95.7% (99.9%) of cases. Duplicated samples in two different runs were 98% (100%) homologous. QC results were manually assessed with a score of 340/340 for detection of DRMs in PRO and RT and 100% for INT sequencing. Conclusions This is the first preliminary evaluation in Belgium employing the Sentosa SQ HIV Genotyping Assay. The NGS appears to be a promising tool for the detection of DRMs in HIV-1 patients and showed a higher sensitivity compared to SS. Large studies assessing the clinical relevance of low frequency DRMs are needed.
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Affiliation(s)
- Géraldine Dessilly
- Université catholique de Louvain (UCLouvain), Institut de Recherche Expérimentale et Clinique (IREC), Medical Microbiology Unit (MBLG), AIDS Reference Laboratory, Brussels, Belgium
- * E-mail:
| | - Léonie Goeminne
- Université catholique de Louvain (UCLouvain), Institut de Recherche Expérimentale et Clinique (IREC), Medical Microbiology Unit (MBLG), AIDS Reference Laboratory, Brussels, Belgium
| | - Anne-thérèse Vandenbroucke
- Université catholique de Louvain (UCLouvain), Institut de Recherche Expérimentale et Clinique (IREC), Medical Microbiology Unit (MBLG), AIDS Reference Laboratory, Brussels, Belgium
| | - Francois E. Dufrasne
- Université catholique de Louvain (UCLouvain), Institut de Recherche Expérimentale et Clinique (IREC), Medical Microbiology Unit (MBLG), AIDS Reference Laboratory, Brussels, Belgium
| | - Anandi Martin
- Université catholique de Louvain (UCLouvain), Institut de Recherche Expérimentale et Clinique (IREC), Medical Microbiology Unit (MBLG), AIDS Reference Laboratory, Brussels, Belgium
| | - Benoît Kabamba-Mukabi
- Université catholique de Louvain (UCLouvain), Institut de Recherche Expérimentale et Clinique (IREC), Medical Microbiology Unit (MBLG), AIDS Reference Laboratory, Brussels, Belgium
- Université catholique de Louvain (UCLouvain), Cliniques Universitaires Saint-Luc, Clinical Laboratory Department, Brussels, Belgium
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12
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Comparison of an In Vitro Diagnostic Next-Generation Sequencing Assay with Sanger Sequencing for HIV-1 Genotypic Resistance Testing. J Clin Microbiol 2018; 56:JCM.00105-18. [PMID: 29618499 DOI: 10.1128/jcm.00105-18] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Accepted: 03/20/2018] [Indexed: 11/20/2022] Open
Abstract
The ability of next-generation sequencing (NGS) technologies to detect low frequency HIV-1 drug resistance mutations (DRMs) not detected by dideoxynucleotide Sanger sequencing has potential advantages for improved patient outcomes. We compared the performance of an in vitro diagnostic (IVD) NGS assay, the Sentosa SQ HIV genotyping assay for HIV-1 genotypic resistance testing, with Sanger sequencing on 138 protease/reverse transcriptase (RT) and 39 integrase sequences. The NGS assay used a 5% threshold for reporting low-frequency variants. The level of complete plus partial nucleotide sequence concordance between Sanger sequencing and NGS was 99.9%. Among the 138 protease/RT sequences, a mean of 6.4 DRMs was identified by both Sanger and NGS, a mean of 0.5 DRM was detected by NGS alone, and a mean of 0.1 DRM was detected by Sanger sequencing alone. Among the 39 integrase sequences, a mean of 1.6 DRMs was detected by both Sanger sequencing and NGS and a mean of 0.15 DRM was detected by NGS alone. Compared with Sanger sequencing, NGS estimated higher levels of resistance to one or more antiretroviral drugs for 18.2% of protease/RT sequences and 5.1% of integrase sequences. There was little evidence for technical artifacts in the NGS sequences, but the G-to-A hypermutation was detected in three samples. In conclusion, the IVD NGS assay evaluated in this study was highly concordant with Sanger sequencing. At the 5% threshold for reporting minority variants, NGS appeared to attain a modestly increased sensitivity for detecting low-frequency DRMs without compromising sequence accuracy.
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