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Teyssou E, Soulie C, Fauchois A, Palich R, Nouchi A, Sayon S, Abdi B, Wirden M, Katlama C, Pourcher V, Marcelin AG, Calvez V. The RT M184V resistance mutation clearance in the reservoir is mainly related to CD4 nadir and viral load zenith independently of therapeutic regimen type. J Antimicrob Chemother 2024:dkae164. [PMID: 38804140 DOI: 10.1093/jac/dkae164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 05/05/2024] [Indexed: 05/29/2024] Open
Abstract
OBJECTIVES Resistance associated mutations (RAMs) are archived in the HIV reservoir and can re-emerge with an inappropriate ART use limiting treatment options. However, recent studies, using ultra-deep sequencing (UDS), showed a decrease of quasispecies harbouring RAMs, suggesting that recycling some antiretrovirals could be considered. The aim of this study was to characterize, in HIV treated PLWHIV, the M184V mutation decrease kinetics in proviral DNA and associated factors of M184V mutation clearance over time. METHODS UDS was performed on HIV-DNA from blood cells at different time points to quantify the percentage of M184V positive quasispecies. The sequence reads were analysed with a minimum coverage set at 50 and an ambiguity filter at 5% or 2%. RESULTS At 2.5 years after the first time point, the M184V lost was observed in 50% of PLWHIV. Moreover, univariate analyses highlight that a higher nadir CD4 count and a lower zenith HIV1 RNA viral load were correlated with a faster clearance of the mutation. In multivariate analysis, a higher zenith was negatively associated with the M184V clearance at the 5% threshold. Interestingly, lamivudine/emtricitabine presence in the ART therapy regiment during the 5 years was not associated with the persistence of the M184V. CONCLUSIONS Our study provides new information concerning the clearance speed of M184V mutation over time in PLWHIV with fully suppressed viremia, opens the discussion about the duration needed to consider a lamivudine/emtricitabine recycling and reinforces the association of the nadir and zenith values with the M184V mutation clearance.
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Affiliation(s)
- Elisa Teyssou
- Laboratoire de Virologie, Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix, F-75013 Paris, France
| | - Cathia Soulie
- Laboratoire de Virologie, Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix, F-75013 Paris, France
| | - Antoine Fauchois
- Laboratoire de Virologie, Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix, F-75013 Paris, France
| | - Romain Palich
- Service des maladies infectieuse, Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix, F-75013 Paris, France
| | - Agathe Nouchi
- Service des Maladies Infectieuses, Sorbonne Université, INSERM, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix, F-75013 Paris, France
| | - Sophie Sayon
- Laboratoire de Virologie, Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix, F-75013 Paris, France
| | - Basma Abdi
- Laboratoire de Virologie, Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix, F-75013 Paris, France
| | - Marc Wirden
- Laboratoire de Virologie, Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix, F-75013 Paris, France
| | - Christine Katlama
- Service des maladies infectieuse, Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix, F-75013 Paris, France
| | - Valérie Pourcher
- Service des maladies infectieuse, Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix, F-75013 Paris, France
| | - Anne-Geneviève Marcelin
- Laboratoire de Virologie, Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix, F-75013 Paris, France
| | - Vincent Calvez
- Laboratoire de Virologie, Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière-Charles Foix, F-75013 Paris, France
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2
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Papa Mze N, Fernand-Laurent C, Daugabel S, Zanzouri O, Juillet SM. Optimization of HIV Sequencing Method Using Vela Sentosa Library on Miseq Ilumina Platform. Genes (Basel) 2024; 15:259. [PMID: 38397248 PMCID: PMC10887851 DOI: 10.3390/genes15020259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 02/14/2024] [Accepted: 02/15/2024] [Indexed: 02/25/2024] Open
Abstract
Genotypic testing is often recommended to improve the management of patients infected with human immunodeficiency virus (HIV). To help combat this major pandemic, next-generation sequencing (NGS) techniques are widely used to analyse resistance to antiretroviral drugs. In this study, we used a Vela Sentosa kit (Vela Diagnostics, Kendall, Singapore), which is usually used for the Ion Torrent personal genome machine (PGM) platform, to sequence HIV using the Illumina Miseq platform. After RNA extraction and reverse transcriptase-polymerase chain reaction (RT-PCR), minor modifications were applied to the Vela Sentosa kit to adapt it to the Illumina Miseq platform. Analysis of the results showed the same mutations present in the samples using both sequencing platforms. The total number of reads varied from 185,069 to 752,343 and from 642,162 to 2,074,028 in the Ion Torrent PGM platform and the Illumina Miseq platform, respectively. The average depth was 21,955 and 46,856 for Ion Torrent PGM and Illumina Miseq platforms, respectively. The cost of sequencing a run of eight samples was quite similar between the two platforms (about USD 1790 for Illumina Miseq and about USD 1833 for Ion Torrent PGM platform). We have shown for the first time that it is possible to adapt and use the Vela Sentosa kit for the Illumina Miseq platform to obtain high-quality results with a similar cost.
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Affiliation(s)
- Nasserdine Papa Mze
- Service de Biologie, Unité de Microbiologie, Hôpital Mignot, Centre Hospitalier de Versailles, 177 rue de Versailles, 78150 Le Chesnay, France (O.Z.); (S.M.J.)
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3
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Nafea AM, Wang Y, Wang D, Salama AM, Aziz MA, Xu S, Tong Y. Application of next-generation sequencing to identify different pathogens. Front Microbiol 2024; 14:1329330. [PMID: 38348304 PMCID: PMC10859930 DOI: 10.3389/fmicb.2023.1329330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Accepted: 12/18/2023] [Indexed: 02/15/2024] Open
Abstract
Early and precise detection and identification of various pathogens are essential for epidemiological monitoring, disease management, and reducing the prevalence of clinical infectious diseases. Traditional pathogen detection techniques, which include mass spectrometry, biochemical tests, molecular testing, and culture-based methods, are limited in application and are time-consuming. Next generation sequencing (NGS) has emerged as an essential technology for identifying pathogens. NGS is a cutting-edge sequencing method with high throughput that can create massive volumes of sequences with a broad application prospects in the field of pathogen identification and diagnosis. In this review, we introduce NGS technology in detail, summarizes the application of NGS in that identification of different pathogens, including bacteria, fungi, and viruses, and analyze the challenges and outlook for using NGS to identify clinical pathogens. Thus, this work provides a theoretical basis for NGS studies and provides evidence to support the application of NGS in distinguishing various clinical pathogens.
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Affiliation(s)
- Aljuboori M. Nafea
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
- College of Medicine, Department of Microbiology, Ibn Sina University of Medical and Pharmaceutical Science, Baghdad, Iraq
| | - Yuer Wang
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
| | - Duanyang Wang
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
| | - Ahmed M. Salama
- State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, China
- Medical Laboratory at Sharkia Health Directorate, Ministry of Health, Sharkia, Egypt
| | - Manal A. Aziz
- College of Medicine, Department of Microbiology, Ibn Sina University of Medical and Pharmaceutical Science, Baghdad, Iraq
| | - Shan Xu
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
| | - Yigang Tong
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
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4
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Taramasso L, Andreoni M, Antinori A, Bandera A, Bonfanti P, Bonora S, Borderi M, Castagna A, Cattelan AM, Celesia BM, Cicalini S, Cingolani A, Cossarizza A, D'Arminio Monforte A, D'Ettorre G, Di Biagio A, Di Giambenedetto S, Di Perri G, Esposito V, Focà E, Gervasoni C, Gori A, Gianotti N, Guaraldi G, Gulminetti R, Lo Caputo S, Madeddu G, Maggi P, Marandola G, Marchetti GC, Mastroianni CM, Mussini C, Perno CF, Rizzardini G, Rusconi S, Santoro M, Sarmati L, Zazzi M, Maggiolo F. Pillars of long-term antiretroviral therapy success. Pharmacol Res 2023; 196:106898. [PMID: 37648103 DOI: 10.1016/j.phrs.2023.106898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 08/26/2023] [Accepted: 08/27/2023] [Indexed: 09/01/2023]
Abstract
BACKGROUND Meeting the challenge of antiretroviral therapy (ART) whose efficacy can last a lifetime requires continuous updating of the virological, pharmacological, and quality of life outcomes to be pursued and a continuous review of literature data on the efficacy and tolerability of new drugs and therapeutic strategies. METHODS With the aim of identifying open questions and answers about the current controversies in modern ART, we adapted the Design Thinking methodology to the needs of the design phase of a scientific article, involving a team of experts in HIV care. RESULTS Five main pillars of treatment success were discussed: sustained virologic suppression over time; immunological recovery; pharmacological attributes; long-term tolerability and safety of ART; and people's satisfaction and quality of life. The definition of the outcomes to be achieved in each thematic area and the tools to achieve them were reviewed and discussed. CONCLUSIONS Long-term treatment success should be intended as a combination of HIV-RNA suppression, immune recovery, and high quality of life. To achieve this, the regimen should be well-tolerated, with high potency, genetic barrier, and forgiveness, and should be tailored by a person-centered perspective, based on individual needs, preferences, and therapeutic history.
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Affiliation(s)
- Lucia Taramasso
- IRCCS Ospedale Policlinico San Martino di Genova, Genova, Italy.
| | | | - Andrea Antinori
- Istituto Nazionale per le Malattie Infettive Lazzaro Spallanzani IRCCS, Roma, Italy
| | - Alessandra Bandera
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Milano, Italy
| | - Paolo Bonfanti
- Università degli Studi di Milano-Bicocca, Fondazione IRCCS San Gerardo dei Tintori - Monza, Monza, Italy
| | - Stefano Bonora
- Ospedale Amedeo di Savoia, Università degli Studi di Torino, Torino, Italy
| | - Marco Borderi
- Azienda Ospedaliero-Universitaria Policlinico S. Orsola-Malpighi, Bologna, Italy
| | | | | | | | - Stefania Cicalini
- Istituto Nazionale per le Malattie Infettive Lazzaro Spallanzani IRCCS, Roma, Italy
| | | | | | | | - Gabriella D'Ettorre
- Department of Public Health and Infectious Diseases AOU Policlinico Umberto I Sapienza, Rome, Italy
| | - Antonio Di Biagio
- Department of Health Sciences, Clinic of Infectious Diseases, University of Genoa, Genoa, Italy
| | | | - Giovanni Di Perri
- Ospedale Amedeo di Savoia, Università degli Studi di Torino, Torino, Italy
| | - Vincenzo Esposito
- UOC di Malattie infettive e Medicina di Genere P.O. Cotugno-A.O. dei Colli, Napoli, Italy
| | - Emanuele Focà
- Università degli Studi di Brescia e ASST Spedali Civili di Brescia, Brescia, Italy
| | | | - Andrea Gori
- Università degli Studi di Milano, Milano, Italy; ASST Fatebenefratelli Sacco, Ospedale Luigi Sacco, Milano, Italy
| | | | - Giovanni Guaraldi
- Azienda Ospedaliero-Universitaria Policlinico di Modena, Università degli Studi di Modena e Reggio Emilia, Modena, Italy
| | | | | | - Giordano Madeddu
- Department of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, Italy
| | - Paolo Maggi
- Università degli Studi della Campania Luigi Vanvitelli, AORN S. Anna e S. Sebastiano Caserta, Caserta, Italy
| | | | - Giulia Carla Marchetti
- Department of Health Sciences, Clinic of Infectious Diseases, University of Milan, ASST Santi Paolo e Carlo, Milan, Italy
| | | | - Cristina Mussini
- Azienda Ospedaliero-Universitaria Policlinico di Modena, Università degli Studi di Modena e Reggio Emilia, Modena, Italy
| | | | | | - Stefano Rusconi
- Ospedale Civile di Legnano ASST Ovest Milanese - Università degli Studi di Milano, Legnano, Italy
| | - Maria Santoro
- Università degli Studi di Roma "Tor Vergata", Roma, Italy
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5
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Lamb CH, Kang B, Myhrvold C. Multiplexed CRISPR-based Methods for Pathogen Nucleic Acid Detection. CURRENT OPINION IN BIOMEDICAL ENGINEERING 2023; 27:100471. [PMID: 37398931 PMCID: PMC10310064 DOI: 10.1016/j.cobme.2023.100471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Bacterial and viral pathogens are devastating to human health and well-being. In many regions, dozens of pathogen species and variants co-circulate. Thus, it is important to detect many different species and variants of pathogens in a given sample through multiplexed detection methods. CRISPR-based nucleic acid detection has shown to be a promising step towards an easy-to-use sensitive, specific, and high-throughput method to detect nucleic acids from DNA and RNA viruses and bacteria. Here, we review the current state of multiplexed nucleic acid detection methods with a focus on CRISPR-based methods. We also look toward the future of multiplexed point-of-care diagnostics.
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Affiliation(s)
- Caitlin H Lamb
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Brian Kang
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Cameron Myhrvold
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
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6
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Kann S, Concha G, Weinreich F, Hahn A, Rückert C, Kalinowski J, Landt O, Frickmann H. Comparative Assessment of Two Commercial Real-Time PCR Assays for the Diagnosis of Trypanosoma cruzi DNA in Serum. Microorganisms 2023; 11:microorganisms11040901. [PMID: 37110326 PMCID: PMC10142699 DOI: 10.3390/microorganisms11040901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 03/22/2023] [Accepted: 03/29/2023] [Indexed: 04/29/2023] Open
Abstract
This study was performed to comparably assess two commercial real-time PCR assays for the identification of Trypanosoma cruzi DNA in serum. A total of 518 Colombian serum samples with high pre-test probability for infections with either T. cruzi or apathogenic Trypanosoma rangeli were assessed. The assessment comprised the NDO real-time PCR (TIB MOLBIOL, ref. no. 53-0755-96, referred to as the TibMolBiol assay in the following) with specificity for T. cruzi and the RealStar Chagas PCR Kit 1.0 (altona DIAGNOSTICS, order no. 611013, referred to as the RealStar assay in the following) targeting a kinetoplast sequence of both T. cruzi and T. rangeli without further discrimination. To discriminate between T. cruzi- and T. rangeli-specific real-time PCR amplicons, Sanger sequencing results were available for a minority of cases with discordant real-time PCR results, while the amplicons of the remaining discordant samples were subjected to nanopore sequencing. The study assessment indicated a proportion of 18.1% (n = 94) T. cruzi-positive samples next to 24 samples (4.6%) containing DNA of the phylogenetically related but apathogenic parasite T. rangeli. The observed diagnostic accuracy as expressed by sensitivity and specificity was 97.9% (92/94) and 99.3% (421/424) with the TibMolBiol assay and 96.8% (91/94) and 95.0% (403/424) with the RealStar assay, respectively. Reduced specificity resulted from cross-reaction with T. rangeli in all instances (3 cross-reactions with the TibMolBiol assay and 21 cross-reactions with the RealStar assay). DNA from the six discrete typing units (DTUs) of T. cruzi was successfully amplified by both real-time PCR assays. In summary, both assays showed a comparable diagnostic accuracy for the diagnosis of T. cruzi from human serum, with a slightly higher specificity seen for the TibMolBiol assay. The pronounced co-amplification of DNA from apathogenic T. rangeli according to the RealStar assay may be a disadvantage in areas of co-circulation with T. cruzi, while the test performance of the two compared assays will be quite similar in geographic settings where T. rangeli infections are unlikely.
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Affiliation(s)
- Simone Kann
- Medical Mission Institute, 97074 Würzburg, Germany
| | - Gustavo Concha
- Organization Wiwa Yugumaiun Bunkauanarrua Tayrona (OWYBT), Department Health Advocacy, Valledupar 2000001, Colombia
| | - Felix Weinreich
- Department of Microbiology and Hospital Hygiene, Bundeswehr Hospital Hamburg, 20359 Hamburg, Germany
| | - Andreas Hahn
- Institute for Medical Microbiology, Virology and Hygiene, University Medicine Rostock, 18057 Rostock, Germany
| | - Christian Rückert
- CeBiTec Centrum for Biotechnology, Bielefeld University, 33615 Bielefeld, Germany
| | - Jörn Kalinowski
- CeBiTec Centrum for Biotechnology, Bielefeld University, 33615 Bielefeld, Germany
| | | | - Hagen Frickmann
- Department of Microbiology and Hospital Hygiene, Bundeswehr Hospital Hamburg, 20359 Hamburg, Germany
- Institute for Medical Microbiology, Virology and Hygiene, University Medicine Rostock, 18057 Rostock, Germany
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7
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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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8
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Raymond S, Jeanne N, Nicot F, Dimeglio C, Carcenac R, Harter A, Ranger N, Martin-Blondel G, Delobel P, Izopet J. HIV-1 resistance genotyping by ultra-deep sequencing and 6-month virological response to first-line treatment. J Antimicrob Chemother 2023; 78:346-353. [PMID: 36449383 DOI: 10.1093/jac/dkac391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 10/28/2022] [Indexed: 12/03/2022] Open
Abstract
OBJECTIVES To evaluate the routine use of the Sentosa ultra-deep sequencing (UDS) system for HIV-1 polymerase resistance genotyping in treatment-naïve individuals and to analyse the virological response (VR) to first-line antiretroviral treatment. METHODS HIV drug resistance was determined on 237 consecutive samples from treatment-naïve individuals using the Sentosa UDS platform with two mutation detection thresholds (3% and 20%). VR was defined as a plasma HIV-1 virus load <50 copies/mL after 6 months of treatment. RESULTS Resistance to at least one antiretroviral drug with a mutation threshold of 3% was identified in 29% and 16% of samples according to ANRS and Stanford algorithms, respectively. The ANRS algorithm also revealed reduced susceptibility to at least one protease inhibitor (PI) in 14.3% of samples, to one reverse transcriptase inhibitor in 12.7%, and to one integrase inhibitor (INSTI) in 5.1%. For a mutation threshold of 20%, resistance was identified in 24% and 13% of samples according to ANRS and Stanford algorithms, respectively. The 6 months VR was 87% and was similar in the 58% of patients given INSTI-based treatment, in the 16% given PI-based treatment and in the 9% given NNRTI-based treatment. Multivariate analysis indicated that the VR was correlated with the baseline HIV virus load and resistance to at least one PI at both 3% and 20% mutation detection thresholds (ANRS algorithm). CONCLUSIONS The Vela UDS platform is appropriate for determining antiretroviral resistance in patients on a first-line antiretroviral treatment. Further studies are needed on the use of UDS for therapeutic management.
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Affiliation(s)
- Stéphanie Raymond
- Toulouse Institute for Infectious and Inflammatory Diseases (INFINITy), INSERM UMR 1291 - CNRS UMR 5051, Toulouse, France.,CHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300France
| | - Nicolas Jeanne
- CHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300France
| | - Florence Nicot
- CHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300France
| | - Chloé Dimeglio
- CHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300France
| | - Romain Carcenac
- CHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300France
| | - Agnès Harter
- CHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300France
| | - Noémie Ranger
- CHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300France
| | - Guillaume Martin-Blondel
- Toulouse Institute for Infectious and Inflammatory Diseases (INFINITy), INSERM UMR 1291 - CNRS UMR 5051, Toulouse, France.,CHU de Toulouse, Hôpital Purpan, Service des Maladies Infectieuses et Tropicales, Toulouse, F-31300France
| | - Pierre Delobel
- Toulouse Institute for Infectious and Inflammatory Diseases (INFINITy), INSERM UMR 1291 - CNRS UMR 5051, Toulouse, France.,CHU de Toulouse, Hôpital Purpan, Service des Maladies Infectieuses et Tropicales, Toulouse, F-31300France
| | - Jacques Izopet
- Toulouse Institute for Infectious and Inflammatory Diseases (INFINITy), INSERM UMR 1291 - CNRS UMR 5051, Toulouse, France.,CHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300France
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9
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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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10
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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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11
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Li Q, Yu F, Song C, Zhao H, Xiao Q, Lao X, Yang S, Tang Y, Zhang F. HIV-1 Genotypic Resistance Testing Using Sanger and Next-Generation Sequencing in Adults with Low-Level Viremia in China. Infect Drug Resist 2022; 15:6711-6722. [PMID: 36438645 PMCID: PMC9697412 DOI: 10.2147/idr.s387215] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 10/27/2022] [Indexed: 08/08/2023] Open
Abstract
OBJECTIVE In this study, we aimed to determine drug-resistance mutations (DRMs) in HIV-1 patients with low-level viremia (LLV) and explored the performance of next-generation sequencing (NGS) in detecting HIV DRMs by using LLV samples. METHODS Overall, 80 samples with LLV were amplified and sequenced using a commercial Sanger sequencing (SS) genotyping kit. Furthermore, 51 samples successfully sequenced using SS were simultaneously subjected to NGS. Genotyping success rates of various viremia categories by two sequencing methods were calculated. Stanford HIV-1 drug-resistance database (HIVdb version 8.9) was used to analyze the DRMs. In the NGS assay, a threshold of 5% was considered for reporting low-frequency variants, and the DRMs detected using SS and NGS were compared. RESULTS The overall success rate of PR/RT regions was 88.1% (67/80) using SS and 86.3% (44/51) using NGS. Furthermore, a significant linear trend was noted between viral load and the genotyping success rate. A total of 38.8% (26/67) participants harbored at least one mutation, as revealed through SS. Moreover, the prevalence of DRMs in persistent LLV was significantly higher than that in intermittent LLV (62.1% vs. 21.1%; P < 0.05). A total of 69 DRMs were detected using the two sequencing methods at the threshold of 5%. Moreover, 10 DRMs missed by SS were detected using NGS, whereas 8 DRMs missed by NGS were detected by SS. CONCLUSION Our data suggested that the genotyping resistance testing is necessary to guide antiretroviral therapy optimization in LLV patients.
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Affiliation(s)
- Qun Li
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Fengting Yu
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Chuan Song
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
- Beijing Key Laboratory of Emerging Infectious Diseases, Beijing, People’s Republic of China
| | - Hongxin Zhao
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Qing Xiao
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Xiaojie Lao
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Siyuan Yang
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Yunxia Tang
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Fujie Zhang
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
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12
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Deminco F, Vaz SN, Santana DS, Pedroso C, Tadeu J, Stoecker A, Vieira SM, Netto E, Brites C. A Simplified Sanger Sequencing Method for Detection of Relevant SARS-CoV-2 Variants. Diagnostics (Basel) 2022; 12:2609. [PMID: 36359452 PMCID: PMC9689870 DOI: 10.3390/diagnostics12112609] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 10/18/2022] [Accepted: 10/24/2022] [Indexed: 08/26/2023] Open
Abstract
Molecular surveillance of the new coronavirus through new genomic sequencing technologies revealed the circulation of important variants of SARS-CoV-2. Sanger sequencing has been useful in identifying important variants of SARS-CoV-2 without the need for whole-genome sequencing. A sequencing protocol was constructed to cover a region of 1000 base pairs, from a 1120 bp product generated after a two-step RT-PCR assay in samples positive for SARS-CoV-2. Consensus sequence construction and mutation identification were performed. Of all 103 samples sequenced, 69 contained relevant variants represented by 20 BA.1, 13 delta, 22 gamma, and 14 zeta, identified between June 2020 and February 2022. All sequences found were aligned with representative sequences of the variants. Using the Sanger sequencing methodology, we were able to develop a more accessible protocol to assist viral surveillance with a more accessible platform.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Carlos Brites
- Laboratório de Pesquisa em Infectologia, Hospital Universitário Professor Edgard Santos, Universidade Federal da Bahia (UFBA)/EBSERH, Salvador 40170-110, Bahia, Brazil
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13
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Li Y, Han L, Wang Y, Wang X, Jia L, Li J, Han J, Zhao J, Li H, Li L. Establishment and application of a method of tagged-amplicon deep sequencing for low-abundance drug resistance in HIV-1. Front Microbiol 2022; 13:895227. [PMID: 36071961 PMCID: PMC9444182 DOI: 10.3389/fmicb.2022.895227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 07/29/2022] [Indexed: 11/16/2022] Open
Abstract
In the latest HIV-1 global drug resistance report released by WHO, countries are advised to strengthen pre-treatment monitoring of drug resistance in AIDS patients. In this study, we established an NGS-based segmented amplification HIV-1 drug resistance mutation detection method. The pol region of HIV-1 was divided into three short fragments for NGS. The entire amplification and sequencing panel were more cost-effective and batched by using the barcode sequence corresponding to the sample. Each parameter was evaluated using samples with known resistance variants frequencies. The nucleotide sequence error rate, amino acid error rate, and noise value of the NGS-based segmented amplification method were both less than 1%. When the threshold was 2%, the consensus sequences of the HIV-1 NL4-3 strain were completely consistent with the Sanger sequences. This method can detect the minimum viral load of the sample at 102 copies/ml, and the input frequency and detection frequency of HIV-1 resistance mutations within the range of 1%–100% had good conformity (R2 = 0.9963; R2 = 0.9955). This method had no non-specific amplification for Hepatitis B and C. Under the 2% threshold, the incidence of surveillance drug resistance mutations in ART-naive HIV-infected patients was 20.69%, among which NRTIs class resistance mutations were mainly.
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Affiliation(s)
- Yang Li
- School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Leilei Han
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
- School of Public Health, North China University of Science and Technology, Tangshan, Hebei, China
| | - Yanglan Wang
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
| | - Xiaolin Wang
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Lei Jia
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Jingyun Li
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Jingwan Han
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Jin Zhao
- Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China
| | - Hanping Li
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
- *Correspondence: Hanping Li,
| | - Lin Li
- School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
- Lin Li,
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14
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Geretti AM, Blanco JL, Marcelin AG, Perno CF, Stellbrink HJ, Turner D, Zengin T. HIV DNA Sequencing to Detect Archived Antiretroviral Drug Resistance. Infect Dis Ther 2022; 11:1793-1803. [PMID: 35915392 DOI: 10.1007/s40121-022-00676-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 07/13/2022] [Indexed: 11/25/2022] Open
Abstract
INTRODUCTION Proviral HIV DNA integrated within CD4 T-cells maintains an archive of viral variants that replicate during the course of the infection, including variants with reduced drug susceptibility. We considered studies that investigated archived drug resistance, with a focus on virologically suppressed patients and highlighted interpretative caveats and gaps in knowledge. RESULTS Either Sanger or deep sequencing can be used to investigate resistance-associated mutations (RAMs) in HIV DNA recovered from peripheral blood. Neither technique is free of limitations. Furthermore, evidence regarding the establishment, maintenance, expression and clinical significance of archived drug-resistant variants is conflicting. This in part reflects the complexity of the HIV proviral landscape and its dynamics during therapy. Clinically, detection of RAMs in cellular HIV DNA has a variable impact on treatment outcomes, modulated by the drugs affected, treatment duration and additional determinants of virological failure, including those leading to suboptimal drug exposure. CONCLUSIONS Sequencing cellular HIV DNA can provide helpful complementary information in treatment-experienced patients with suppressed plasma HIV RNA who require a change of regimen. However, care should be taken when interpreting the results. Presence of RAMs is not necessarily a barrier to treatment success. Conversely, even the most sensitive sequencing techniques will fail to provide a comprehensive view of the HIV DNA archive. To inform treatment decisions appropriately, the overall clinical and treatment history of a patient must always be considered alongside the results of resistance testing. Prospective controlled studies are needed to validate the utility of drug resistance testing using cellular HIV DNA.
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Affiliation(s)
- Anna Maria Geretti
- Department of Infectious Diseases, Fondazione PTV and University of Rome Tor Vergata, Viale Oxford 81, 00133, Rome, Italy. .,School of Immunology & Microbial Sciences, King's College London, London, UK.
| | - Jose Luis Blanco
- Infectious Diseases Department, Hospital Clinic of Barcelona, Barcelona, Spain.,Infectious Diseases & AIDS Unit Hospital Clinic Barcelona, University of Barcelona, Barcelona, Spain
| | - Anne Genevieve Marcelin
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpital Pitié-Salpêtrière, Virologie, 75013, Paris, France
| | - Carlo Federico Perno
- Multimodal Medicine Research Area, Children Hospital IRCCS Bambino Gesù, Rome, Italy
| | | | - Dan Turner
- Crusaid Kobler AIDS Center, Tel Aviv Sourasky Medical Center, Affiliated to the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Tuba Zengin
- Global Medical Affairs HIV, Gilead Sciences, London, UK
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15
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Abstract
Nearly 40 years have elapsed since the invention of the PCR, with its extremely sensitive and specific ability to detect nucleic acids via in vitro enzyme-mediated amplification. In turn, more than 2 years have passed since the onset of the coronavirus disease 2019 (COVID-19) pandemic, during which time molecular diagnostics for infectious diseases have assumed a larger global role than ever before. In this context, we review broadly the progression of molecular techniques in clinical microbiology, to their current prominence. Notably, these methods now entail both the detection and quantification of microbial nucleic acids, along with their sequence-based characterization. Overall, we seek to provide a combined perspective on the techniques themselves, as well as how they have come to shape health care at the intersection of technologic innovation, pathophysiologic knowledge, clinical/laboratory logistics, and even financial/regulatory factors.
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16
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Maruapula D, Seatla KK, Morerinyane O, Molebatsi K, Giandhari J, de Oliveira T, Musonda RM, Leteane M, Mpoloka SW, Rowley CF, Moyo S, Gaseitsiwe S. Low-frequency HIV-1 drug resistance mutations in antiretroviral naïve individuals in Botswana. Medicine (Baltimore) 2022; 101:e29577. [PMID: 35838991 PMCID: PMC11132386 DOI: 10.1097/md.0000000000029577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 04/27/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Individuals living with human immunodeficiency virus (HIV) who experience virological failure (VF) after combination antiretroviral therapy (cART) initiation may have had low-frequency drug resistance mutations (DRMs) at cART initiation. There are no data on low-frequency DRMs among cART-naïve HIV-positive individuals in Botswana. METHODS We evaluated the prevalence of low-frequency DRMs among cART-naïve individuals previously sequenced using Sanger sequencing. The generated pol amplicons were sequenced by next-generation sequencing. RESULTS We observed low-frequency DRMs (detected at <20% in 33/103 (32%) of the successfully sequenced individuals, of whom four also had mutations detected at >20%. K65R was the most common low-frequency DRM detected in 8 individuals. Eighty-two of the 103 individuals had follow-up viral load data while on cART. Twenty-seven of the 82 individuals harbored low-frequency DRMs. Only 12 of 82 individuals experienced VF. The following low-frequency DRMs were observed in four individuals experiencing VF: K65R, K103N, V108I, and Y188C. No statistically significant difference was observed in the prevalence of low-frequency DRMs between individuals experiencing VF (4/12) and those not experiencing VF (23/70) (P = .97). However, individuals with non-nucleoside reverse transcriptase inhibitors-associated low-frequency DRMs were 2.68 times more likely to experience VF (odds ratio, 2.68; 95% confidential interval, 0.4-13.9) compared with those without (P = .22). CONCLUSION Next-generation sequencing was able to detect low-frequency DRMs in this cohort in Botswana, but these DRMs did not contribute significantly to VF.
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Affiliation(s)
- Dorcas Maruapula
- Botswana Harvard AIDS Institute Partnership, Gaborone, Botswana
- Department of Biological Sciences, University of Botswana, Gaborone, Botswana
| | - Kaelo K. Seatla
- Botswana Harvard AIDS Institute Partnership, Gaborone, Botswana
- School of Allied Health Professions, University of Botswana, Gaborone, Botswana
| | | | - Kesaobaka Molebatsi
- Botswana Harvard AIDS Institute Partnership, Gaborone, Botswana
- Department of Statistics, University of Botswana, Gaborone, Botswana
| | - Jennifer Giandhari
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Tulio de Oliveira
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Rosemary M. Musonda
- Botswana Harvard AIDS Institute Partnership, Gaborone, Botswana
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Melvin Leteane
- Department of Biological Sciences, University of Botswana, Gaborone, Botswana
| | - Sununguko W Mpoloka
- Department of Biological Sciences, University of Botswana, Gaborone, Botswana
| | - Christopher F. Rowley
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Sikhulile Moyo
- Botswana Harvard AIDS Institute Partnership, Gaborone, Botswana
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Simani Gaseitsiwe
- Botswana Harvard AIDS Institute Partnership, Gaborone, Botswana
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA
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17
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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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18
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Analytical Assessment of the Vela Diagnostics NGS Assay for HIV Genotyping and Resistance Testing: The Apulian Experience. Int J Mol Sci 2022; 23:ijms23052727. [PMID: 35269868 PMCID: PMC8911269 DOI: 10.3390/ijms23052727] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 02/23/2022] [Accepted: 02/27/2022] [Indexed: 01/22/2023] Open
Abstract
Drug-resistance monitoring is one of the hardest challenges in HIV management. Next-generation sequencing (NGS) technologies speed up the detection of drug resistance, allowing the adjustment of antiretroviral therapy and enhancing the quality of life of people living with HIV. Recently, the NGS Sentosa® SQ HIV Genotyping Assay (Vela Diagnostics) received approval for in vitro diagnostics use. This work is the first Italian evaluation of the performance of the Vela Diagnostics NGS platform, assessed with 420 HIV-1 clinical samples. A comparison with Sanger sequencing performance is also reported, highlighting the advantages and disadvantages of the Sentosa® NGS assay. The precision of the technology was studied with reference specimens, while intra- and inter-assay reproducibility were evaluated for selected clinical samples. Vela Diagnostics’ NGS assay reached an 87% success rate through 30 runs of analysis in a real-world clinical context. The concordance with Sanger sequencing outcomes was equal to 97.2%. Several detected mismatches were due to NGS’s superior sensitivity to low-frequency variants. A high accuracy was observed in testing reference samples. Repeatability and reproducibility assays highlighted the good performance of the NGS platform. Beyond a few technical issues that call for further optimization, the key improvement will be a better balance between costs and processing speed. Once these issues have been solved, the Sentosa® SQ HIV Genotyping Assay will be the way forward for HIV resistance testing.
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Armenia D, Santoro MM, Bellocchi MC, Carioti L, Galli L, Galli A, Scutari R, Salsi E, Mussini C, Sterrantino G, Calza L, Rossetti B, Zazzi M, Castagna A. Viral resistance burden and APOBEC editing correlate with virological response in heavily treatment-experienced people living with multi-drug resistant HIV. Int J Antimicrob Agents 2021; 59:106492. [PMID: 34871747 DOI: 10.1016/j.ijantimicag.2021.106492] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 09/15/2021] [Accepted: 11/24/2021] [Indexed: 12/31/2022]
Abstract
BACKGROUND The impact of drug resistance mutational load and APOBEC editing in heavily treatment-experienced (HTE) people living with multidrug-resistant HIV has not been investigated. MATERIAL AND METHODS This study explored the HIV-DNA and HIV-RNA mutational load of drug resistance and APOBEC-related mutations through next-generation sequencing (NGS, Illumina MiSeq) in 20 failing HTE participants enrolled in the PRESTIGIO registry. RESULTS The patients showed high levels of both HIV-DNA (4.5 [4.0-5.2] log10 copies/106 T-CD4+ cell) and HIV-RNA (4.5 [4.1-5.0] log10 copies/mL) with complex resistance patterns in both compartments. Among the 255 drug-resistant mutations found, 66.3% were concordantly detected in both HIV-DNA and HIV-RNA; 71.3% of mutations were already present in historical Sanger genotypes. At an intra-patient frequency > 5%, a considerable proportion of mutations detected through DNA-NGS were found in historical genotypes but not through RNA-NGS, and few patients had APOBEC-related mutations. Of 14 patients who switched therapy, the five who failed treatment had DNA resistance with higher intra-patient frequency and higher DNA/RNA mutational load in a context of tendentially less pronounced APOBEC editing compared with those who responded. CONCLUSIONS Using NGS in HIV-DNA and HIV-RNA together with APOBEC editing evaluation might help to identify HTE individuals with MDR who are more prone to experience virological failure.
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Affiliation(s)
- Daniele Armenia
- Saint Camillus International University of Health Sciences, Rome, Italy; Department of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy
| | | | | | - Luca Carioti
- Department of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Laura Galli
- Clinic of Infectious Diseases, Istituto Scientifico San Raffaele, Milano, Italy
| | - Andrea Galli
- Clinic of Infectious Diseases, Istituto Scientifico San Raffaele, Milano, Italy
| | - Rossana Scutari
- Department of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy
| | | | | | - Gaetana Sterrantino
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | | | | | | | - Antonella Castagna
- Clinic of Infectious Diseases, Istituto Scientifico San Raffaele, Milano, Italy; Clinic of Infectious Diseases, Vita-Salute San Raffaele University, Milan, Italy
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20
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Ayitewala A, Ssewanyana I, Kiyaga C. Next generation sequencing based in-house HIV genotyping method: validation report. AIDS Res Ther 2021; 18:64. [PMID: 34600538 PMCID: PMC8487565 DOI: 10.1186/s12981-021-00390-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 09/17/2021] [Indexed: 11/17/2022] Open
Abstract
Background HIV genotyping has had a significant impact on the care and treatment of HIV/AIDS. At a clinical level, the test guides physicians on the choice of treatment regimens. At the surveillance level, it informs policy on consolidated treatment guidelines and microbial resistance control strategies. Until recently, the conventional test has utilized the Sanger sequencing (SS) method. Unlike Next Generation Sequencing (NGS), SS is limited by low data throughput and the inability of detecting low abundant drug-resistant variants. NGS can improve sensitivity and quantitatively identify low-abundance variants; in addition, it has the potential to improve efficiency as well as lowering costs when samples are batched. Despite the NGS benefits, its utilization in clinical drug resistance profiling is faced with mixed reactions. These are largely based on a lack of a consensus regarding the quality control strategy. Nonetheless, transitional views suggest validating the method against the gold-standard SS. Therefore, we present a validation report of an NGS-based in-house HIV genotyping method against the SS method in Uganda. Results Since there were no established proficiency test panels for NGS-based HIV genotyping, 15 clinical plasma samples for routine care were utilized. The use of clinical samples allowed for accuracy and precision studies. The workflow involved four main steps; viral RNA extraction, targeted amplicon generation, amplicon sequencing and data analysis. Accuracy of 98% with an average percentage error of 3% was reported for the NGS based assay against the SS platform demonstrating similar performance. The coefficient of variation (CV) findings for both the inter-run and inter-personnel precision showed no variability (CV ≤ 0%) at the relative abundance of ≥ 20%. For both inter-run and inter-personnel, a variation that affected the precision was observed at 1% frequency. Overall, for all the frequencies, CV registered a small range of (0–2%). Conclusion The NGS-based in-house HIV genotyping method fulfilled the minimum requirements that support its utilization for drug resistance profiling in a clinical setting of a low-income country. For more inclusive quality control studies, well-characterized wet panels need to be established. Supplementary Information The online version contains supplementary material available at 10.1186/s12981-021-00390-8.
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21
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Zhang Y, Ma L. Application of high-throughput sequencing technology in HIV drug resistance detection. BIOSAFETY AND HEALTH 2021. [DOI: 10.1016/j.bsheal.2021.06.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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22
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Palich R, Teyssou E, Sayon S, Abdi B, Soulie C, Cuzin L, Tubiana R, Valantin MA, Schneider L, Seang S, Wirden M, Pourcher V, Katlama C, Calvez V, Marcelin AG. Kinetics of archived M184V mutation in treatment-experienced virally suppressed HIV-infected patients. J Infect Dis 2021; 225:502-509. [PMID: 34415048 DOI: 10.1093/infdis/jiab413] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 08/17/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND We aimed to assess the kinetics of drug-resistant viral variants (DRVs) harboring the M184V mutation in the proviral DNA of long-term virally suppressed patients, and factors associated with DRV persistence. METHODS HIV-DNA from blood cells stored in 2019 and 2016 was sequenced using both Sanger and ultradeep sequencing (SS and UDS, with a detection threshold of 1%) in ART-treated patients with HIV-RNA <50 copies/mL for at least 5 years, with past M184V mutation documented in HIV-RNA. RESULTS Among the 79 tested patients, by combining SS and UDS, the M184V was found to be absent in 26/79 (33%) patients (M184V- patients), and persisted in 53/79 (67%) (M184V+ patients). The M184V+ patients had a longer history of ART, a lower CD4 nadir and higher pretherapeutic HIV-RNA. Among the 37 patients with viral sequences assessed by UDS, the proportion of M184V+ DRVs significantly decreased between 2016 and 2019 (40% versus 14%, p=0.005). The persistence of M184V was associated with the duration and level of HIV-RNA replication under 3TC/FTC (p=0.0009 and p=0.009, respectively). CONCLUSION While it decreased over time in HIV-DNA, the M184V mutation was more frequently persistent in the HIV-DNA of more experienced patients with longer past replication under 3TC/FTC.
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Affiliation(s)
- Romain Palich
- Sorbonne University, Infectious Diseases Department, Pitié-Salpêtrière Hospital, AP-HP, Pierre Louis Epidemiology and Public Health Institute (iPLESP), INSERM, Paris, France.,Sorbonne University, Virology Department, Pitié-Salpêtrière Hospital, AP-HP, Pierre Louis Epidemiology and Public Health Institute (iPLESP), INSERM, Paris, France
| | - Elisa Teyssou
- Sorbonne University, Virology Department, Pitié-Salpêtrière Hospital, AP-HP, Pierre Louis Epidemiology and Public Health Institute (iPLESP), INSERM, Paris, France
| | - Sophie Sayon
- Sorbonne University, Virology Department, Pitié-Salpêtrière Hospital, AP-HP, Pierre Louis Epidemiology and Public Health Institute (iPLESP), INSERM, Paris, France
| | - Basma Abdi
- Sorbonne University, Virology Department, Pitié-Salpêtrière Hospital, AP-HP, Pierre Louis Epidemiology and Public Health Institute (iPLESP), INSERM, Paris, France
| | - Cathia Soulie
- Sorbonne University, Virology Department, Pitié-Salpêtrière Hospital, AP-HP, Pierre Louis Epidemiology and Public Health Institute (iPLESP), INSERM, Paris, France
| | - Lise Cuzin
- CERPOP, Toulouse University, Inserm UMR, UPS, Toulouse, France.,Martinique University Hospital, Infectious Diseases Department, Fort-de-France, France
| | - Roland Tubiana
- Sorbonne University, Infectious Diseases Department, Pitié-Salpêtrière Hospital, AP-HP, Pierre Louis Epidemiology and Public Health Institute (iPLESP), INSERM, Paris, France
| | - Marc-Antoine Valantin
- Sorbonne University, Infectious Diseases Department, Pitié-Salpêtrière Hospital, AP-HP, Pierre Louis Epidemiology and Public Health Institute (iPLESP), INSERM, Paris, France
| | - Luminita Schneider
- Sorbonne University, Infectious Diseases Department, Pitié-Salpêtrière Hospital, AP-HP, Pierre Louis Epidemiology and Public Health Institute (iPLESP), INSERM, Paris, France
| | - Sophie Seang
- Sorbonne University, Infectious Diseases Department, Pitié-Salpêtrière Hospital, AP-HP, Pierre Louis Epidemiology and Public Health Institute (iPLESP), INSERM, Paris, France
| | - Marc Wirden
- Sorbonne University, Virology Department, Pitié-Salpêtrière Hospital, AP-HP, Pierre Louis Epidemiology and Public Health Institute (iPLESP), INSERM, Paris, France
| | - Valérie Pourcher
- Sorbonne University, Infectious Diseases Department, Pitié-Salpêtrière Hospital, AP-HP, Pierre Louis Epidemiology and Public Health Institute (iPLESP), INSERM, Paris, France
| | - Christine Katlama
- Sorbonne University, Infectious Diseases Department, Pitié-Salpêtrière Hospital, AP-HP, Pierre Louis Epidemiology and Public Health Institute (iPLESP), INSERM, Paris, France
| | - Vincent Calvez
- Sorbonne University, Virology Department, Pitié-Salpêtrière Hospital, AP-HP, Pierre Louis Epidemiology and Public Health Institute (iPLESP), INSERM, Paris, France
| | - Anne-Geneviève Marcelin
- Sorbonne University, Virology Department, Pitié-Salpêtrière Hospital, AP-HP, Pierre Louis Epidemiology and Public Health Institute (iPLESP), INSERM, Paris, France
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Comas I, Cancino-Muñoz I, Mariner-Llicer C, Goig GA, Ruiz-Hueso P, Francés-Cuesta C, García-González N, González-Candelas F. Use of next generation sequencing technologies for the diagnosis and epidemiology of infectious diseases. Enferm Infecc Microbiol Clin 2021; 38 Suppl 1:32-38. [PMID: 32111363 DOI: 10.1016/j.eimc.2020.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
For the first time, next generation sequencing technologies provide access to genomic information at a price and scale that allow their implementation in routine clinical practice and epidemiology. While there are still many obstacles to their implementation, there are also multiple examples of their major advantages compared with previous methods. Their main advantage is that a single determination allows epidemiological information on the causative microorganism to be obtained simultaneously, as well as its resistance profile, although these advantages vary according to the pathogen under study. This review discusses several examples of the clinical and epidemiological use of next generation sequencing applied to complete genomes and microbiomes and reflects on its future in clinical practice.
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Affiliation(s)
- Iñaki Comas
- Instituto de Biomedicina de Valencia, IBV-CSIC, Valencia, España; CIBER en Epidemiología y Salud Pública, Valencia, España.
| | | | | | - Galo A Goig
- Instituto de Biomedicina de Valencia, IBV-CSIC, Valencia, España
| | - Paula Ruiz-Hueso
- Unidad Mixta "Infección y Salud Pública" FISABIO-Universitat de València, Instituto de Biología Integrativa de Sistemas, I2SysBio (CSIC-UV), Valencia, España
| | - Carlos Francés-Cuesta
- Unidad Mixta "Infección y Salud Pública" FISABIO-Universitat de València, Instituto de Biología Integrativa de Sistemas, I2SysBio (CSIC-UV), Valencia, España
| | - Neris García-González
- Unidad Mixta "Infección y Salud Pública" FISABIO-Universitat de València, Instituto de Biología Integrativa de Sistemas, I2SysBio (CSIC-UV), Valencia, España
| | - Fernando González-Candelas
- CIBER en Epidemiología y Salud Pública, Valencia, España; Unidad Mixta "Infección y Salud Pública" FISABIO-Universitat de València, Instituto de Biología Integrativa de Sistemas, I2SysBio (CSIC-UV), Valencia, España
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24
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Tekin D, Gokengin D, Onay H, Erensoy S, Sertoz R. Investigation of drug resistance against protease, reverse transcriptase, and integrase inhibitors by next-generation sequencing in HIV-positive patients. J Med Virol 2021; 93:3627-3633. [PMID: 33026651 DOI: 10.1002/jmv.26582] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 09/23/2020] [Accepted: 10/05/2020] [Indexed: 12/13/2022]
Abstract
Our aim was to investigate the mutations in protease (PR), reverse transcriptase (RT), and integrase (IN) gene regions in human immunodeficiency virus (HIV) using a single amplicon via next-generation sequencing (NGS). The study included plasma samples from 49 HIV-1-positive patients, which were referred for HIV-1 drug resistance testing during 2017. A nested polymerase chain reaction (PCR) was performed after the RNA extraction and one-step reverse transcription stages. The sequencing of the HIV genome in the PR, RT, and IN gene regions was carried out using MiSeq NGS technology. Sanger sequencing (SS) was used to analyze resistance mutations in the PR and RT gene regions using a ViroSeq HIV-1 Genotyping System. PCR products were analyzed with an ABI3500 GeneticAnalyzer (Applied Biosystems). Resistance mutations detected with NGS at frequencies above 20% were identical to the SS results. Resistance to at least one antiretroviral (ARV) drug was 22.4% (11 of 49) with NGS and 10.2% (5 of 49) with SS. At least one low-frequency resistance mutation was detected in 18.3% (9 of 49) of the samples. Low-frequency resistance mutations resulted in virological failure in only one patient. The cost of the analyses was reduced by sample pooling and multiplex analysis using the MiSeq system. This is the first study in Turkey to use NGS technologies for the detection of resistance mutations in all three gene (PR, RT, IN) regions using a single amplicon. Our findings suggest that NGS is more sensitive and cost-effective than the SS method.
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Affiliation(s)
- Duygu Tekin
- Department of Medical Microbiology, Tepecik Training and Research Hospital, Izmir, Turkey
| | - Deniz Gokengin
- Department of Clinical Microbiology and Infectious Diseases, Ege University Medical School, Izmir, Turkey
| | - Huseyin Onay
- Department of Medical Genetics, Ege University Medical School, Izmir, Turkey
| | - Selda Erensoy
- Department of Medical Microbiology, Ege University Medical School, Izmir, Turkey
| | - Ruchan Sertoz
- Department of Medical Microbiology, Ege University Medical School, Izmir, Turkey
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25
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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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Knyazev S, Hughes L, Skums P, Zelikovsky A. Epidemiological data analysis of viral quasispecies in the next-generation sequencing era. Brief Bioinform 2021; 22:96-108. [PMID: 32568371 PMCID: PMC8485218 DOI: 10.1093/bib/bbaa101] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 04/24/2020] [Accepted: 05/04/2020] [Indexed: 01/04/2023] Open
Abstract
The unprecedented coverage offered by next-generation sequencing (NGS) technology has facilitated the assessment of the population complexity of intra-host RNA viral populations at an unprecedented level of detail. Consequently, analysis of NGS datasets could be used to extract and infer crucial epidemiological and biomedical information on the levels of both infected individuals and susceptible populations, thus enabling the development of more effective prevention strategies and antiviral therapeutics. Such information includes drug resistance, infection stage, transmission clusters and structures of transmission networks. However, NGS data require sophisticated analysis dealing with millions of error-prone short reads per patient. Prior to the NGS era, epidemiological and phylogenetic analyses were geared toward Sanger sequencing technology; now, they must be redesigned to handle the large-scale NGS datasets and properly model the evolution of heterogeneous rapidly mutating viral populations. Additionally, dedicated epidemiological surveillance systems require big data analytics to handle millions of reads obtained from thousands of patients for rapid outbreak investigation and management. We survey bioinformatics tools analyzing NGS data for (i) characterization of intra-host viral population complexity including single nucleotide variant and haplotype calling; (ii) downstream epidemiological analysis and inference of drug-resistant mutations, age of infection and linkage between patients; and (iii) data collection and analytics in surveillance systems for fast response and control of outbreaks.
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Zhong Y, Xu F, Wu J, Schubert J, Li MM. Application of Next Generation Sequencing in Laboratory Medicine. Ann Lab Med 2021; 41:25-43. [PMID: 32829577 PMCID: PMC7443516 DOI: 10.3343/alm.2021.41.1.25] [Citation(s) in RCA: 85] [Impact Index Per Article: 28.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 03/24/2020] [Accepted: 08/07/2020] [Indexed: 12/12/2022] Open
Abstract
The rapid development of next-generation sequencing (NGS) technology, including advances in sequencing chemistry, sequencing technologies, bioinformatics, and data interpretation, has facilitated its wide clinical application in precision medicine. This review describes current sequencing technologies, including short- and long-read sequencing technologies, and highlights the clinical application of NGS in inherited diseases, oncology, and infectious diseases. We review NGS approaches and clinical diagnosis for constitutional disorders; summarize the application of U.S. Food and Drug Administration-approved NGS panels, cancer biomarkers, minimal residual disease, and liquid biopsy in clinical oncology; and consider epidemiological surveillance, identification of pathogens, and the importance of host microbiome in infectious diseases. Finally, we discuss the challenges and future perspectives of clinical NGS tests.
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Affiliation(s)
- Yiming Zhong
- Department of Pathology & Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA,
USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA,
USA
| | - Feng Xu
- Department of Pathology & Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA,
USA
| | - Jinhua Wu
- Department of Pathology & Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA,
USA
| | - Jeffrey Schubert
- Department of Pathology & Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA,
USA
| | - Marilyn M. Li
- Department of Pathology & Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA,
USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA,
USA
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA,
USA
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Yan L, Yu F, Zhang H, Zhao H, Wang L, Liang Z, Zhang X, Wu L, Liang H, Yang S, Tang Y, Zhang F. Transmitted and Acquired HIV-1 Drug Resistance from a Family: A Case Study. Infect Drug Resist 2020; 13:3763-3770. [PMID: 33122923 PMCID: PMC7591230 DOI: 10.2147/idr.s272232] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 09/11/2020] [Indexed: 11/23/2022] Open
Affiliation(s)
- Liting Yan
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Fengting Yu
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Huimin Zhang
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Department of Pediatrics, Beijing Ditan Hospital, Beijing, People’s Republic of China
| | - Hongxin Zhao
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Linghang Wang
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Zaiyan Liang
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Xia Zhang
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Liang Wu
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Hongyuan Liang
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Siyuan Yang
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Yunxia Tang
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Fujie Zhang
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
- Correspondence: Fujie Zhang Beijing Ditan Hospital, Capital Medical University, Beijing100015, People’s Republic of ChinaTel +86 10 84322581 Email
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Cevallos C, Culasso ACA, Urquiza J, Ojeda D, Sued O, Figueroa MI, Avila MM, Delpino MV, Quarleri JF. In vivo drug resistance mutation dynamics from the early to chronic stage of infection in antiretroviral-therapy-naïve HIV-infected men who have sex with men. Arch Virol 2020; 165:2915-2919. [PMID: 32978684 DOI: 10.1007/s00705-020-04823-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 08/25/2020] [Indexed: 01/18/2023]
Abstract
Human immunodeficiency virus type 1 (HIV) primary drug resistance mutations (DRMs) influence the long-term therapeutic effects of antiretroviral treatment (ART). Drug-resistance genotyping based on polymerase gene sequences obtained by next-generation sequencing (NGS) was performed using samples from 10 ART-naïve HIV-infected men who have sex with men (MSM; P1-P10) from the acute/early to chronic stage of infection. Three of the 10 subjects exhibited the presence of major (abundance, ≥ 20%) viral populations carrying DRM at early/acute stage that later, at the chronic stage, dropped drastically (V106M) or remained highly abundant (E138A). Four individuals exhibited additional DRMs (M46I/L; I47A; I54M, L100V) as HIV minority populations (abundance, 2-20%) that emerged during the chronic stage but ephemerally.
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Affiliation(s)
- Cintia Cevallos
- Instituto de Investigaciones Biomédicas en Retrovirus Y Sida (INBIRS), Facultad de Medicina, Universidad de Buenos Aires (UBA), Paraguay 2155-Piso 11 (1121), Buenos Aires, Argentina
| | - Andrés C A Culasso
- Consejo Nacional de Investigaciones Científicas Y Técnicas (CONICET) Instituto de Bacteriología Y Virología Molecular (IBaViM) Facultad de Farmacia Y Bioquímica, Universidad de Buenos Aires, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas Y Técnicas (CONICET), Buenos Aires, Argentina
| | - Javier Urquiza
- Instituto de Investigaciones Biomédicas en Retrovirus Y Sida (INBIRS), Facultad de Medicina, Universidad de Buenos Aires (UBA), Paraguay 2155-Piso 11 (1121), Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas Y Técnicas (CONICET), Buenos Aires, Argentina
| | - Diego Ojeda
- Instituto de Investigaciones Biomédicas en Retrovirus Y Sida (INBIRS), Facultad de Medicina, Universidad de Buenos Aires (UBA), Paraguay 2155-Piso 11 (1121), Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas Y Técnicas (CONICET), Buenos Aires, Argentina
| | - Omar Sued
- Fundación Huésped, Pasaje Angel Peluffo 3932 (C1202ABB), Ciudad Autónoma de Buenos Aires, Argentina
| | - María I Figueroa
- Fundación Huésped, Pasaje Angel Peluffo 3932 (C1202ABB), Ciudad Autónoma de Buenos Aires, Argentina
| | - María M Avila
- Instituto de Investigaciones Biomédicas en Retrovirus Y Sida (INBIRS), Facultad de Medicina, Universidad de Buenos Aires (UBA), Paraguay 2155-Piso 11 (1121), Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas Y Técnicas (CONICET), Buenos Aires, Argentina
| | - M Victoria Delpino
- Consejo Nacional de Investigaciones Científicas Y Técnicas (CONICET), Buenos Aires, Argentina
- Instituto de Inmunología, Genética Y Metabolismo (INIGEM), Universidad de Buenos Aires. CONICET, Buenos Aires, Argentina
| | - Jorge F Quarleri
- Instituto de Investigaciones Biomédicas en Retrovirus Y Sida (INBIRS), Facultad de Medicina, Universidad de Buenos Aires (UBA), Paraguay 2155-Piso 11 (1121), Buenos Aires, Argentina.
- Consejo Nacional de Investigaciones Científicas Y Técnicas (CONICET), Buenos Aires, Argentina.
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30
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Zuo L, Peng K, Hu Y, Xu Q. Genotypic Methods for HIV Drug Resistance Monitoring: The Opportunities and Challenges Faced by China. Curr HIV Res 2020; 17:225-239. [PMID: 31560290 DOI: 10.2174/1570162x17666190927154110] [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: 06/09/2019] [Revised: 09/05/2019] [Accepted: 09/20/2019] [Indexed: 12/18/2022]
Abstract
AIDS is a globalized infectious disease. In 2014, UNAIDS launched a global project of "90-90-90" to end the HIV epidemic by 2030. The second and third 90 require 90% of HIV-1 infected individuals receiving antiretroviral therapy (ART) and durable virological suppression. However, wide use of ART will greatly increase the emergence and spreading of HIV drug resistance and current HIV drug resistance test (DRT) assays in China are seriously lagging behind, hindering to achieve virological suppression. Therefore, recommending an appropriate HIV DRT method is critical for HIV routine surveillance and prevention in China. In this review, we summarized the current existing HIV drug resistance genotypic testing methods around the world and discussed the advantages and disadvantages of these methods.
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Affiliation(s)
- Lulu Zuo
- Institute of Life Sciences, Jiangsu University, Zhenjiang, Jiangsu 212002, China.,Pathogen Discovery & Big Data Center, CAS Key Laboratory of Molecular Virology & Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences; Shanghai 200031, China
| | - Ke Peng
- State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China
| | - Yihong Hu
- Pathogen Discovery & Big Data Center, CAS Key Laboratory of Molecular Virology & Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences; Shanghai 200031, China
| | - Qinggang Xu
- Institute of Life Sciences, Jiangsu University, Zhenjiang, Jiangsu 212002, China
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31
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Mitchell SL, Simner PJ. Next-Generation Sequencing in Clinical Microbiology: Are We There Yet? Clin Lab Med 2020; 39:405-418. [PMID: 31383265 DOI: 10.1016/j.cll.2019.05.003] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Next-generation sequencing (NGS) applications have been transitioning from research tools to diagnostic methods and are becoming more commonplace in clinical microbiology laboratories. These applications include (1) whole-genome sequencing, (2) targeted next-generation sequencing methods, and (3) metagenomic next-generation sequencing. The introduction of these methods into the clinical microbiology laboratory has led to the theoretic question of "Will NGS-based methods supplant traditional methods for strain typing, identification, and antimicrobial susceptibility prediction?" The authors address this question and discuss where we are at now with clinical NGS applications for infectious diseases, what does the future hold, and at what cost?
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Affiliation(s)
- Stephanie L Mitchell
- Department of Pathology, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, 4401 Penn Avenue, Main Hospital, Floor B, #269, Pittsburgh, PA 15224, USA
| | - Patricia J Simner
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins University School of Medicine, Meyer B1-193, 600 North Wolfe Street, Baltimore, MD 21287-7093, USA.
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32
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Next-Generation Sequencing for HIV Drug Resistance Testing: Laboratory, Clinical, and Implementation Considerations. Viruses 2020; 12:v12060617. [PMID: 32516949 PMCID: PMC7354449 DOI: 10.3390/v12060617] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 05/22/2020] [Accepted: 05/27/2020] [Indexed: 01/01/2023] Open
Abstract
Higher accessibility and decreasing costs of next generation sequencing (NGS), availability of commercial kits, and development of dedicated analysis pipelines, have allowed an increasing number of laboratories to adopt this technology for HIV drug resistance (HIVDR) genotyping. Conventional HIVDR genotyping is traditionally carried out using population-based Sanger sequencing, which has a limited capacity for reliable detection of variants present at intra-host frequencies below a threshold of approximately 20%. NGS has the potential to improve sensitivity and quantitatively identify low-abundance variants, improving efficiency and lowering costs. However, some challenges exist for the standardization and quality assurance of NGS-based HIVDR genotyping. In this paper, we highlight considerations of these challenges as related to laboratory, clinical, and implementation of NGS for HIV drug resistance testing. Several sources of variation and bias occur in each step of the general NGS workflow, i.e., starting material, sample type, PCR amplification, library preparation method, instrument and sequencing chemistry-inherent errors, and data analysis options and limitations. Additionally, adoption of NGS-based HIVDR genotyping, especially for clinical care, poses pressing challenges, especially for resource-poor settings, including infrastructure and equipment requirements and cost, logistic and supply chains, instrument service availability, personnel training, validated laboratory protocols, and standardized analysis outputs. The establishment of external quality assessment programs may help to address some of these challenges and is needed to proceed with NGS-based HIVDR genotyping adoption.
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Giacomelli A, Conti F, Rusconi S. Dolutegravir plus lamivudine for hiv treatment: Does the historical genotype really matter? EBioMedicine 2020; 56:102820. [PMID: 32512519 PMCID: PMC7276508 DOI: 10.1016/j.ebiom.2020.102820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 05/15/2020] [Indexed: 11/10/2022] Open
Affiliation(s)
- Andrea Giacomelli
- Department of Infectious Diseases, ASST Fatebenefratelli-Sacco, Luigi Sacco University Hospital, Milan, Italy; Luigi Sacco Department of Biomedical and Clinical Sciences (DIBIC), University of Milan, Italy.
| | - Federico Conti
- Department of Infectious Diseases, ASST Fatebenefratelli-Sacco, Luigi Sacco University Hospital, Milan, Italy; Luigi Sacco Department of Biomedical and Clinical Sciences (DIBIC), University of Milan, Italy
| | - Stefano Rusconi
- Department of Infectious Diseases, ASST Fatebenefratelli-Sacco, Luigi Sacco University Hospital, Milan, Italy; Luigi Sacco Department of Biomedical and Clinical Sciences (DIBIC), University of Milan, Italy
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Ji H, Sandstrom P, Paredes R, Harrigan PR, Brumme CJ, Avila Rios S, Noguera-Julian M, Parkin N, Kantor R. Are We Ready for NGS HIV Drug Resistance Testing? The Second "Winnipeg Consensus" Symposium. Viruses 2020; 12:E586. [PMID: 32471096 PMCID: PMC7354487 DOI: 10.3390/v12060586] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 05/13/2020] [Accepted: 05/25/2020] [Indexed: 12/31/2022] Open
Abstract
HIV drug resistance is a major global challenge to successful and sustainable antiretroviral therapy. Next-generation sequencing (NGS)-based HIV drug resistance (HIVDR) assays enable more sensitive and quantitative detection of drug-resistance-associated mutations (DRMs) and outperform Sanger sequencing approaches in detecting lower abundance resistance mutations. While NGS is likely to become the new standard for routine HIVDR testing, many technical and knowledge gaps remain to be resolved before its generalized adoption in regular clinical care, public health, and research. Recognizing this, we conceived and launched an international symposium series on NGS HIVDR, to bring together leading experts in the field to address these issues through in-depth discussions and brainstorming. Following the first symposium in 2018 (Winnipeg, MB Canada, 21-22 February, 2018), a second "Winnipeg Consensus" symposium was held in September 2019 in Winnipeg, Canada, and was focused on external quality assurance strategies for NGS HIVDR assays. In this paper, we summarize this second symposium's goals and highlights.
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Affiliation(s)
- Hezhao Ji
- National HIV and Retrovirology Laboratories at JC Wilt Infectious Diseases Research Centre, Public Health Agency of Canada, Winnipeg, MB R3E 3R2, Canada;
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB R3E 0J9, Canada
| | - Paul Sandstrom
- National HIV and Retrovirology Laboratories at JC Wilt Infectious Diseases Research Centre, Public Health Agency of Canada, Winnipeg, MB R3E 3R2, Canada;
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB R3E 0J9, Canada
| | - Roger Paredes
- IrsiCaixa AIDS Research Institute, Hospital Germans Trias i Pujol, s/n, 08916 Badalona, Catalonia, Spain; (R.P.); (M.N.-J.)
- Infectious Diseases Department, Hospital Germans Trias i Pujol, 08916 Badalona, Catalonia, Spain
| | - P. Richard Harrigan
- Division of AIDS, Department of Medicine, University of British Columbia, Vancouver, BC V5Z 1M9, Canada;
| | - Chanson J. Brumme
- British Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC V6Z 1Y6, Canada;
- Division of Infectious Diseases, Department of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC V5Z 1M9, Canada
| | - Santiago Avila Rios
- Centre for Research in Infectious Diseases, National Institute of Respiratory Diseases, Mexico City 14080, Mexico;
| | - Marc Noguera-Julian
- IrsiCaixa AIDS Research Institute, Hospital Germans Trias i Pujol, s/n, 08916 Badalona, Catalonia, Spain; (R.P.); (M.N.-J.)
- Chair in AIDS and Related Illnesses, Centre for Health and Social Care Research (CESS), Faculty of Medicine, University of Vic–Central University of Catalonia (UVic–UCC), Can Baumann, Ctra. de Roda, 70, 08500 Vic, Spain
| | - Neil Parkin
- Data First Consulting Inc., Sebastopol, CA 95472, USA;
| | - Rami Kantor
- Division of Infectious Diseases, Brown University Alpert Medical School, Providence, RI 02906, USA;
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35
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Sidhu G, Schuster L, Liu L, Tamashiro R, Li E, Langaee T, Wagner R, Wang GP. A single variant sequencing method for sensitive and quantitative detection of HIV-1 minority variants. Sci Rep 2020; 10:8185. [PMID: 32424187 PMCID: PMC7234988 DOI: 10.1038/s41598-020-65085-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 04/20/2020] [Indexed: 10/25/2022] Open
Abstract
HIV drug resistance is a major threat to achieving long-term viral suppression in HIV-positive individuals. Drug resistant HIV variants, including minority variants, can compromise response to antiretroviral therapy. Many studies have investigated the clinical relevance of drug resistant minority variants, but the level at which minority variants become clinically relevant remains unclear. A combination of Primer-ID and deep sequencing is a promising approach that may quantify minority variants more accurately compared to standard deep sequencing. However, most studies that used the Primer-ID method have analyzed clinical samples directly. Thus, its sensitivity and quantitative accuracy have not been adequately validated using known controls. Here, we constructed defined proportions of artificial RNA and virus quasispecies and measured their relative proportions using the Primer-ID based, quantitative single-variant sequencing (qSVS) assay. Our results showed that minority variants present at 1% of quasispecies were detected reproducibly with minimal variations between technical replicates. In addition, the measured frequencies were comparable to the expected frequencies. These data validate the accuracy and reproducibility of the qSVS assay in quantifying authentic HIV minority variants, and support the use of this approach to examine the impacts of minority HIV variants on virologic response and clinical outcome.
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Affiliation(s)
- Gurjit Sidhu
- Division of Infectious Disease and Global Medicine, Department of Medicine, University of Florida, Gainesville, FL, USA
| | - Layla Schuster
- Division of Infectious Disease and Global Medicine, Department of Medicine, University of Florida, Gainesville, FL, USA.,Medosome Biosciences, Alachua, FL, USA
| | - Lin Liu
- Division of Infectious Disease and Global Medicine, Department of Medicine, University of Florida, Gainesville, FL, USA.,Department of Medicine, St. Luke's Hospital, Chesterfield, MO, USA
| | - Ryan Tamashiro
- Division of Infectious Disease and Global Medicine, Department of Medicine, University of Florida, Gainesville, FL, USA
| | - Eric Li
- Division of Infectious Disease and Global Medicine, Department of Medicine, University of Florida, Gainesville, FL, USA
| | - Taimour Langaee
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, FL, USA
| | | | - Gary P Wang
- Division of Infectious Disease and Global Medicine, Department of Medicine, University of Florida, Gainesville, FL, USA. .,Infectious Diseases Section, Medical Service, North Florida/South Georgia Veterans Health System, Gainesville, FL, USA.
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36
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Analysis of unusual and signature APOBEC-mutations in HIV-1 pol next-generation sequences. PLoS One 2020; 15:e0225352. [PMID: 32102090 PMCID: PMC7043932 DOI: 10.1371/journal.pone.0225352] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 01/30/2020] [Indexed: 12/31/2022] Open
Abstract
Introduction At low mutation-detection thresholds, next generation sequencing (NGS) for HIV-1 genotypic resistance testing is susceptible to artifactual detection of mutations arising from PCR error and APOBEC-mediated G-to-A hypermutation. Methods We analyzed published HIV-1 pol Illumina NGS data to characterize the distribution of mutations at eight NGS mutation detection thresholds: 20%, 10%, 5%, 2%, 1%, 0.5%, 0.2%, and 0.1%. At each threshold, we determined proportions of amino acid mutations that were unusual (defined as having a prevalence <0.01% in HIV-1 group M sequences) or signature APOBEC mutations. Results Eight studies, containing 855 samples, in the NCBI Sequence Read Archive were analyzed. As detection thresholds were lowered, there was a progressive increase in the proportion of positions with usual and unusual mutations and in the proportion of all mutations that were unusual. The median proportion of positions with an unusual mutation increased gradually from 0% at the 20% threshold to 0.3% at the 1% threshold and then exponentially to 1.3% (0.5% threshold), 6.9% (0.2% threshold), and 23.2% (0.1% threshold). In two of three studies with available plasma HIV-1 RNA levels, the proportion of positions with unusual mutations was negatively associated with virus levels. Although the complete set of signature APOBEC mutations was much smaller than that of unusual mutations, the former outnumbered the latter in one-sixth of samples at the 0.5%, 1%, and 2% thresholds. Conclusions The marked increase in the proportion of positions with unusual mutations at thresholds below 1% and in samples with lower virus loads suggests that, at low thresholds, many unusual mutations are artifactual, reflecting PCR error or G-to-A hypermutation. Profiling the numbers of unusual and signature APOBEC pol mutations at different NGS mutation detection thresholds may be useful to avoid selecting a threshold that is too low and poses an unacceptable risk of identifying artifactual mutations.
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Chrysostomou AC, Topcu C, Stylianou DC, Hezka J, Kostrikis LG. Development of a new comprehensive HIV-1 genotypic drug resistance assay for all commercially available reverse transcriptase, protease and integrase inhibitors in patients infected with group M HIV-1 strains. INFECTION GENETICS AND EVOLUTION 2020; 81:104243. [PMID: 32061896 DOI: 10.1016/j.meegid.2020.104243] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 02/11/2020] [Accepted: 02/12/2020] [Indexed: 12/28/2022]
Abstract
Comprehensive PCR assays for the genotypic drug resistance analysis of all HIV-1 antiretroviral agents (reverse transcriptase, protease and integrase inhibitors) are increasingly in demand due to introduction of integrase inhibitors in the first line regimens and the increasing presence of non-B HIV-1 clades around the world. This study focused on the development and evaluation of a new PCR-based assay for the amplification and sequencing of the entire HIV-1 pol region of major circulating group M HIV-1 strains in Europe for genotypic drug resistance analysis. The comprehensive touchdown PCR assay developed in this study utilized HIV-1 RNA extracted from the plasma of blood samples of consenting HIV-1 infected patients in Cyprus, collected from 2017 to 2019. The HIV-1 pol region was amplified by touchdown PCR for both the primary RT-PCR and the secondary PCR steps. Successful PCR amplicons were determined by population DNA sequencing, using the Sanger method and the genotypic drug resistance analysis was performed with the Stanford University HIV Drug Resistance Database Program. The newly developed assay successfully amplified the entire HIV-1 pol region (2844 nucleotides long) of 141 out of 144 samples of group M HIV-1 subtypes and recombinant strains of the Cyprus HIV-1 Transmission Cohort Study (CHICS) isolated from 2017 to 2019 and genotypic analyses were conducted for all currently available HIV-1 reverse transcriptase, protease and integrase inhibitors. The drug resistance, epidemiological and demographic data of these study subjects will be expanded upon in the CHICS (L.G. Kostrikis et al., manuscript in preparation for publication). The newly developed HIV-1 genotypic drug resistance assay would benefit clinical settings, and research focusing on the world-wide spread of HIV-1 drug-resistant strains, especially in geographic regions characterized by polyphyletic HIV-1 infections.
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Affiliation(s)
- Andreas C Chrysostomou
- Department of Biological Sciences, University of Cyprus, 1 University Avenue, Aglantzia 2109, Nicosia, Cyprus
| | - Cicek Topcu
- Department of Biological Sciences, University of Cyprus, 1 University Avenue, Aglantzia 2109, Nicosia, Cyprus
| | - Dora C Stylianou
- Department of Biological Sciences, University of Cyprus, 1 University Avenue, Aglantzia 2109, Nicosia, Cyprus
| | - Johana Hezka
- Department of Biological Sciences, University of Cyprus, 1 University Avenue, Aglantzia 2109, Nicosia, Cyprus
| | - Leondios G Kostrikis
- Department of Biological Sciences, University of Cyprus, 1 University Avenue, Aglantzia 2109, Nicosia, Cyprus.
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Dailey PJ, Elbeik T, Holodniy M. Companion and complementary diagnostics for infectious diseases. Expert Rev Mol Diagn 2020; 20:619-636. [PMID: 32031431 DOI: 10.1080/14737159.2020.1724784] [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] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Companion diagnostics (CDx) are important in oncology therapeutic decision-making, but specific regulatory-approved CDx for infectious disease treatment are officially lacking. While not approved as CDx, several ID diagnostics are used as CDx. The diagnostics community, manufacturers, and regulatory agencies have made major efforts to ensure that diagnostics for new antimicrobials are available at or near release of new agents. AREAS COVERED This review highlights the status of Complementary and companion diagnostic (c/CDx) in the infectious disease literature, with a focus on genotypic antimicrobial resistance testing against pathogens as a class of diagnostic tests. EXPERT OPINION CRISPR, sepsis markers, and narrow spectrum antimicrobials, in addition to current and emerging technologies, present opportunities for infectious disease c/CDx. Challenges include slow guideline revision, high costs for regulatory approval, lengthy buy in by agencies, discordant pharmaceutical/diagnostic partnerships, and higher treatment costs. The number of patients and available medications used to treat different infectious diseases is well suited to support competing diagnostic tests. However, newer approaches to treatment (for example, narrow spectrum antibiotics), may be well suited for a small number of patients, i.e. a niche market in support of a CDx. The current emphasis is rapid and point-of-care (POC) diagnostic platforms as well as changes in treatment.
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Affiliation(s)
- Peter J Dailey
- School of Public Health, University of California, Berkeley , Berkeley, CA, USA.,The Foundation for Innovative New Diagnostics (FIND) , Geneva, Switzerland
| | - Tarek Elbeik
- VA Palo Alto Health Care System, Department of Veterans Affairs , Palo Alto, CA, USA
| | - Mark Holodniy
- VA Palo Alto Health Care System, Department of Veterans Affairs , Palo Alto, CA, USA.,Division of Infectious Diseases and Geographic Medicine, Stanford University , Stanford, CA, USA
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Performance comparison of next generation sequencing analysis pipelines for HIV-1 drug resistance testing. Sci Rep 2020; 10:1634. [PMID: 32005884 PMCID: PMC6994664 DOI: 10.1038/s41598-020-58544-z] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Accepted: 01/09/2020] [Indexed: 01/13/2023] Open
Abstract
Next generation sequencing (NGS) is a trending new standard for genotypic HIV-1 drug resistance (HIVDR) testing. Many NGS HIVDR data analysis pipelines have been independently developed, each with variable outputs and data management protocols. Standardization of such analytical methods and comparison of available pipelines are lacking, yet may impact subsequent HIVDR interpretation and other downstream applications. Here we compared the performance of five NGS HIVDR pipelines using proficiency panel samples from NIAID Virology Quality Assurance (VQA) program. Ten VQA panel specimens were genotyped by each of six international laboratories using their own in-house NGS assays. Raw NGS data were then processed using each of the five different pipelines including HyDRA, MiCall, PASeq, Hivmmer and DEEPGEN. All pipelines detected amino acid variants (AAVs) at full range of frequencies (1~100%) and demonstrated good linearity as compared to the reference frequency values. While the sensitivity in detecting low abundance AAVs, with frequencies between 1~20%, is less a concern for all pipelines, their specificity dramatically decreased at AAV frequencies <2%, suggesting that 2% threshold may be a more reliable reporting threshold for ensured specificity in AAV calling and reporting. More variations were observed among the pipelines when low abundance AAVs are concerned, likely due to differences in their NGS read quality control strategies. Findings from this study highlight the need for standardized strategies for NGS HIVDR data analysis, especially for the detection of minority HIVDR variants.
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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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Raymond S, Nicot F, Abravanel F, Minier L, Carcenac R, Lefebvre C, Harter A, Martin-Blondel G, Delobel P, Izopet J. Performance evaluation of the Vela Dx Sentosa next-generation sequencing system for HIV-1 DNA genotypic resistance. J Clin Virol 2019; 122:104229. [PMID: 31809945 DOI: 10.1016/j.jcv.2019.104229] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 11/15/2019] [Accepted: 11/25/2019] [Indexed: 11/20/2022]
Abstract
BACKGROUND Patients on antiretroviral therapy could benefit from HIV-1 DNA resistance genotyping for exploring virological failure with low viral load or to guide treatment simplification. Few new generation sequencing data are available. OBJECTIVE To check that the automated deep sequencing Sentosa platform (Vela DX) detected minority resistant variants well enough for HIV DNA genotyping. STUDY DESIGN We evaluated the Sentosa SQ HIV genotyping assay with automated extraction on 40 DNA longitudinal samples from treatment-experienced patients by comparison with Sanger sequencing. HIV drug resistance was interpreted using the ANRS algorithm (v29) at the threshold of 20 % and 3 %. RESULTS The Sentosa SQ HIV genotyping assay was 100 % successful to amplify and sequence PR and RT and 86 % to amplify and sequence IN when the HIV DNA load was >2.5 log copies/million cells. The Sentosa and Sanger sequencing were concordant for predicting PR-RT resistance at the threshold of 20 % in 14/18 samples successfully sequenced. A higher level of resistance was predicted by Sentosa in three samples and by Sanger in one sample. The prevalence of resistance was 7 % to PI, 59 % to NRTI, 31 % to NNRTI and 20 % to integrase inhibitors using the Sentosa SQ genotyping assay at the threshold of 3 %. Seven additional mutations <20 % were detected using the Sentosa assay. CONCLUSION Automated DNA extraction and sequencing using the Sentosa SQ HIV genotyping assay accurately predicted HIV DNA drug resistance by comparison with Sanger. Prospective studies are needed to evaluate the clinical interest of HIV DNA genotyping.
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Affiliation(s)
- Stéphanie Raymond
- INSERM U1043, CNRS UMR 5282, Toulouse University Paul Sabatier, CPTP, Toulouse, F-31300 France; CHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300 France.
| | - Florence Nicot
- CHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300 France
| | - Florence Abravanel
- INSERM U1043, CNRS UMR 5282, Toulouse University Paul Sabatier, CPTP, Toulouse, F-31300 France; CHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300 France
| | - Luce Minier
- CHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300 France
| | - Romain Carcenac
- CHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300 France
| | - Caroline Lefebvre
- CHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300 France
| | - Agnès Harter
- CHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300 France
| | - Guillaume Martin-Blondel
- INSERM U1043, CNRS UMR 5282, Toulouse University Paul Sabatier, CPTP, Toulouse, F-31300 France; CHU de Toulouse, Hôpital Purpan, Service des Maladies Infectieuses et Tropicales, Toulouse, F-31300 France
| | - Pierre Delobel
- INSERM U1043, CNRS UMR 5282, Toulouse University Paul Sabatier, CPTP, Toulouse, F-31300 France; CHU de Toulouse, Hôpital Purpan, Service des Maladies Infectieuses et Tropicales, Toulouse, F-31300 France
| | - Jacques Izopet
- INSERM U1043, CNRS UMR 5282, Toulouse University Paul Sabatier, CPTP, Toulouse, F-31300 France; CHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie, Toulouse, F-31300 France
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Alidjinou EK, Coulon P, Hallaert C, Robineau O, Meybeck A, Huleux T, Ajana F, Hober D, Bocket L. Routine drug resistance testing in HIV-1 proviral DNA, using an automated next- generation sequencing assay. J Clin Virol 2019; 121:104207. [PMID: 31707202 DOI: 10.1016/j.jcv.2019.104207] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 09/07/2019] [Accepted: 10/28/2019] [Indexed: 12/17/2022]
Abstract
BACKGROUND HIV-1 DNA genotypic drug resistance testing is increasingly performed to guide treatment switching or simplification in controlled patients. The Sentosa NGS platform is a fully automated system marketed for drug resistance testing on HIV-1 RNA samples. OBJECTIVES The aim of this study was to evaluate this automated NGS solution for routine resistance genotypic resistance testing in proviral HIV-1 DNA. STUDY DESIGN Sanger sequencing (SS) of the reverse transcriptase (RT), protease (PR) and integrase (IN) genes was performed using the French ANRS protocol. NGS was performed retrospectively on frozen samples, using the Sentosa platform combined with the Sentosa SQ HIV genotyping Assay. RESULTS A total of 77 samples were run once using NGS. A successful sequencing of the three HIV-1 genes (RT, PR, IN) was obtained for 45 samples. The number of cumulated RAMs was 179, 185 and 219 with SS, NGS 20% and NGS 10% respectively; however most of them were minor mutations in the PR region. The mutation detection rate was similar between SS and NGS 20%. Several discordances were observed between both methods in the RT and PR regions, mainly due to the use of different DNA extracts, and hypermutation. CONCLUSIONS HIV-1 DNA genotypic resistance testing can be performed with the Sentosa platform. Few technical optimizations are still needed to include the extraction step and to improve the sequencing efficiency.
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Affiliation(s)
- Enagnon Kazali Alidjinou
- Université de Lille, Faculté de Médecine, CHU Lille, Laboratoire de Virologie EA3610, F-59000 Lille, France.
| | - Pauline Coulon
- Université de Lille, Faculté de Médecine, CHU Lille, Laboratoire de Virologie EA3610, F-59000 Lille, France
| | - Christophe Hallaert
- Université de Lille, Faculté de Médecine, CHU Lille, Laboratoire de Virologie EA3610, F-59000 Lille, France
| | - Olivier Robineau
- Service Universitaire des Maladies Infectieuses, CH Dron, Tourcoing, France
| | - Agnès Meybeck
- Service Universitaire des Maladies Infectieuses, CH Dron, Tourcoing, France
| | - Thomas Huleux
- Service Universitaire des Maladies Infectieuses, CH Dron, Tourcoing, France
| | - Faiza Ajana
- Service Universitaire des Maladies Infectieuses, CH Dron, Tourcoing, France
| | - Didier Hober
- Université de Lille, Faculté de Médecine, CHU Lille, Laboratoire de Virologie EA3610, F-59000 Lille, France
| | - Laurence Bocket
- Université de Lille, Faculté de Médecine, CHU Lille, Laboratoire de Virologie EA3610, F-59000 Lille, France
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Weber J, Volkova I, Sahoo MK, Tzou PL, Shafer RW, Pinsky BA. Prospective Evaluation of the Vela Diagnostics Next-Generation Sequencing Platform for HIV-1 Genotypic Resistance Testing. J Mol Diagn 2019; 21:961-970. [PMID: 31382033 PMCID: PMC7152740 DOI: 10.1016/j.jmoldx.2019.06.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 05/16/2019] [Accepted: 06/05/2019] [Indexed: 11/30/2022] Open
Abstract
Genotypic antiretroviral drug resistance testing is a critical component of the global efforts to control the HIV-1 epidemic. This study investigates the semiautomated, next-generation sequencing (NGS)-based Vela Diagnostics Sentosa SQ HIV-1 Genotyping Assay in a prospective cohort of HIV-1-infected patients. Two-hundred sixty-nine samples were successfully sequenced by both NGS and Sanger sequencing. Among the 261 protease/reverse transcriptase (PR/RT) sequences, a mean of 0.37 drug resistance mutations were identified by both Sanger and NGS, 0.08 by NGS alone, and 0.03 by Sanger alone. Among the 50 integrase sequences, a mean of 0.3 drug resistance mutations were detected by both Sanger and NGS, and 0.08 by NGS alone. NGS estimated higher levels of drug resistance to one or more antiretroviral drugs for 6.5% of PR/RT sequences and 4.0% of integrase sequences, whereas Sanger estimated higher levels of drug resistance for 3.8% of PR/RT sequences. Although the samples successfully sequenced by the Sentosa SQ HIV Genotyping Assay demonstrated similar predicted resistance compared with Sanger, 44% of Sentosa runs failed quality control requiring 17 additional runs. This semi-automated NGS-based assay may aid in HIV-1 genotypic drug resistance testing, though numerous quality control issues were observed when this platform was used in a clinical laboratory setting. With additional refinement, the Sentosa SQ HIV-1 Genotyping Assay may contribute to the global efforts to control HIV-1.
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Affiliation(s)
- Jenna Weber
- Department of Pathology, Stanford University School of Medicine, Stanford, California
| | - Ilona Volkova
- Clinical Virology Laboratory, Stanford Health Care, Stanford, California
| | - Malaya K Sahoo
- Department of Pathology, Stanford University School of Medicine, Stanford, California
| | - Philip L Tzou
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Robert W Shafer
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Benjamin A Pinsky
- Department of Pathology, Stanford University School of Medicine, Stanford, California; Clinical Virology Laboratory, Stanford Health Care, Stanford, California; Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California.
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Tzou PL, Rhee SY, Shafer RW. Amino Acid Prevalence of HIV-1 pol Mutations by Direct Polymerase Chain Reaction and Single Genome Sequencing. AIDS Res Hum Retroviruses 2019; 35:924-929. [PMID: 31317771 DOI: 10.1089/aid.2018.0289] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
The presence of many highly unusual HIV-1 mutations at a minority variant threshold by next-generation sequence (NGS) may indicate that a high proportion of variants at or just above the threshold represent PCR errors. The validity of this hypothesis depends on the concept that highly unusual mutations detected by population-based sequencing are also highly unusual within a person's virus population. Highly unusual mutations were defined as mutations with a prevalence <0.01% in group M HIV-1 direct PCR population-based Sanger sequences in the Stanford HIV Drug Resistance Database. Single genome Sanger sequences [single genome sequences (SGSs)] were analyzed because they are not subject to PCR error. Permutation analyses compared the proportion of highly unusual mutations in SGSs with the empirical frequencies of these mutations in repeated random selections of population-based sequences. We created a database of 11,258 pol SGSs in 963 plasma samples from 345 persons with active virus replication and analyzed the subset of samples containing 10 or more SGSs. Highly unusual mutations occurred more commonly in samples undergoing SGS compared with population-based sequencing in protease (3.9% vs. 0.8%; p < .001), reverse transcriptase (6.5% vs. 1.5%; p < .001), and integrase (5.0% vs. 1.8%; p < .001). Highly unusual mutations occur more commonly in SGSs than in population-based sequences. However, they comprise a small proportion of all SGS mutations supporting the concept that the presence of many highly unusual mutations just above an NGS threshold suggests that the threshold is too low.
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Affiliation(s)
- Philip L. Tzou
- Division of Infectious Diseases, Department of Medicine, Stanford University, Stanford, California
| | - Soo-Yon Rhee
- Division of Infectious Diseases, Department of Medicine, Stanford University, Stanford, California
| | - Robert W. Shafer
- Division of Infectious Diseases, Department of Medicine, Stanford University, Stanford, California
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Jair K, McCann CD, Reed H, Castel AD, Pérez-Losada M, Wilbourn B, Greenberg AE, Jordan JA. Validation of publicly-available software used in analyzing NGS data for HIV-1 drug resistance mutations and transmission networks in a Washington, DC, Cohort. PLoS One 2019; 14:e0214820. [PMID: 30964884 PMCID: PMC6456221 DOI: 10.1371/journal.pone.0214820] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 03/20/2019] [Indexed: 12/03/2022] Open
Abstract
The DC Cohort is an ongoing longitudinal observational study of persons living with HIV. To better understand HIV-1 drug resistance and potential transmission clusters among these participants, we performed targeted, paired-end next-generation sequencing (NGS) of protease, reverse transcriptase and integrase amplicons. We elected to use free, publicly-available software (HyDRA Web, Stanford HIVdb and HIV-TRACE) for data analyses so that laboratory personnel without extensive bioinformatics expertise could use it; making the approach accessible and affordable for labs worldwide. With more laboratories transitioning away from Sanger-based chemistries to NGS platforms, lower frequency drug resistance mutations (DRMs) can be detected, yet their clinical relevance is uncertain. We looked at the impact choice in cutoff percentage had on number of DRMs detected and found an inverse correlation between the two. Longitudinal studies will be needed to determine whether low frequency DRMs are an early indicator of emerging resistance. We successfully validated this pipeline against a commercial pipeline, and another free, publicly-available pipeline. RT DRM results from HyDRA Web were compared to both SmartGene and PASeq Web; using the Mantel test, R2 values were 0.9332 (p<0.0001) and 0.9097 (p<0.0001), respectively. PR and IN DRM results from HyDRA Web were then compared with PASeq Web only; using the Mantel test, R2 values were 0.9993 (p<0.0001) and 0.9765 (p<0.0001), respectively. Drug resistance was highest for the NRTI drug class and lowest for the PI drug class in this cohort. RT DRM interpretation reports from this pipeline were also highly correlative compared to SmartGene pipeline; using the Spearman's Correlation, rs value was 0.97757 (p<0.0001). HIV-TRACE was used to identify potential transmission clusters to better understand potential linkages among an urban cohort of persons living with HIV; more individuals were male, of black race, with an HIV risk factor of either MSM or High-risk Heterosexual. Common DRMs existed among individuals within a cluster. In summary, we validated a comprehensive, easy-to-use and affordable NGS approach for tracking HIV-1 drug resistance and identifying potential transmission clusters within the community.
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Affiliation(s)
- Kamwing Jair
- Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States of America
| | - Chase D. McCann
- Department of Immunology and Microbial Pathogenesis, Weill Cornell Graduate School of Medical Sciences, New York, NY, United States of America
| | - Harrison Reed
- Department of Forensic Sciences, Public Health Laboratory, District of Columbia, Washington, DC, United States of America
| | - Amanda D. Castel
- Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States of America
| | - Marcos Pérez-Losada
- Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States of America
- GWU Computational Biology Institute and CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, Vairão, Portugal
| | - Brittany Wilbourn
- Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States of America
| | - Alan E. Greenberg
- Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States of America
| | - Jeanne A. Jordan
- Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States of America
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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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Limited Marginal Utility of Deep Sequencing for HIV Drug Resistance Testing in the Age of Integrase Inhibitors. J Clin Microbiol 2018; 56:JCM.01443-18. [PMID: 30305383 PMCID: PMC6258839 DOI: 10.1128/jcm.01443-18] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Accepted: 10/02/2018] [Indexed: 02/02/2023] Open
Abstract
HIV drug resistance genotyping is a critical tool in the clinical management of HIV infections. Although resistance genotyping has traditionally been conducted using Sanger sequencing, next-generation sequencing (NGS) is emerging as a powerful tool due to its ability to detect low-frequency alleles. HIV drug resistance genotyping is a critical tool in the clinical management of HIV infections. Although resistance genotyping has traditionally been conducted using Sanger sequencing, next-generation sequencing (NGS) is emerging as a powerful tool due to its ability to detect low-frequency alleles. However, the clinical value added from NGS approaches to antiviral resistance testing remains to be demonstrated. We compared the variant detection capacity of NGS versus Sanger sequencing methods for resistance genotyping in 144 drug resistance tests (105 protease-reverse transcriptase tests and 39 integrase tests) submitted to our clinical virology laboratory over a four-month period in 2016 for Sanger-based HIV drug resistance testing. NGS detected all true high-frequency drug resistance mutations (>20% frequency) found by Sanger sequencing, with greater accuracy in one instance of a Sanger-detected false positive. Freely available online NGS variant callers HyDRA and PASeq were superior to Sanger methods for interpretations of allele linkage and automated variant calling. NGS additionally detected low-frequency mutations (1 to 20% frequency) associated with higher levels of drug resistance in 30/105 (29%) protease-reverse transcriptase tests and 4/39 (10%) integrase tests. In clinical follow-up of 69 individuals for a median of 674 days, we did not find a difference in rates of virological failure between individuals with and without low-frequency mutations, although rates of virological failure were higher for individuals with drug-relevant low-frequency mutations. However, all 27 individuals who experienced virological failure reported poor adherence to their drug regimen during the preceding follow-up time, and all 19 who subsequently improved their adherence achieved viral suppression at later time points, consistent with a lack of clinical resistance. In conclusion, in a population with low antiviral resistance emergence, NGS methods detected numerous instances of minor alleles that did not result in subsequent bona fide virological failure due to antiviral resistance.
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Barcelos D, Neto RA, Cardili L, Fernandes M, Carapeto FCL, Comodo AN, Funabashi K, Iwamura ESM. KIT exon 11 and PDGFRA exon 18 gene mutations in gastric GIST: proposal of a short panel for predicting therapeutic response. SURGICAL AND EXPERIMENTAL PATHOLOGY 2018. [DOI: 10.1186/s42047-018-0021-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
GIST is the most common mesenchymal tumor of gastrointestinal tract and is more frequent in stomach. Its main mutations affect KIT and PDGFRA genes. Full genetic analysis panels are currently used to study mutations in GIST and other tumors. Considering that in gastric GIST KIT gene mutations in exon 11 are sensitive to IM whereas PDGFRΑ gene mutations in exon 18 (D842V) are resistant to the same drug, the aim of this study is to focus on these two molecular targets as a short alternative panel for predicting therapeutic response in gastric GIST which might optimize resources.
Methods
The genotypes of 38 cases of primary GIST were determined by performing bidirectional DNA sequencing.
Results
Exon 11 of KIT gene showed mutations in 65.3% and the exon 18 of PDGFRA gene showed 9% of cases. So it was possible to determine a subgroup of tumors which presented mutations in KIT exon 11 and PDGFRA exon 18.
Conclusion
Considering all of the foregoing analyzed globally, the application of short panel has impact on the cost and time of release of results to the physician, allowing a rapid approach to patients eligible for treatment with the target therapy.
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Silver N, Paynter M, McAllister G, Atchley M, Sayir C, Short J, Winner D, Alouani DJ, Sharkey FH, Bergefall K, Templeton K, Carrington D, Quiñones-Mateu ME. Characterization of minority HIV-1 drug resistant variants in the United Kingdom following the verification of a deep sequencing-based HIV-1 genotyping and tropism assay. AIDS Res Ther 2018; 15:18. [PMID: 30409215 PMCID: PMC6223033 DOI: 10.1186/s12981-018-0206-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Accepted: 10/30/2018] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The widespread global access to antiretroviral drugs has led to considerable reductions in morbidity and mortality but, unfortunately, the risk of virologic failure increases with the emergence, and potential transmission, of drug resistant viruses. Detecting and quantifying HIV-1 drug resistance has therefore become the standard of care when designing new antiretroviral regimens. The sensitivity of Sanger sequencing-based HIV-1 genotypic assays is limited by its inability to identify minority members of the quasispecies, i.e., it only detects variants present above ~ 20% of the viral population, thus, failing to detect minority variants below this threshold. It is clear that deep sequencing-based HIV-1 genotyping assays are an important step change towards accurately monitoring HIV-infected individuals. METHODS We implemented and verified a clinically validated HIV-1 genotyping assay based on deep sequencing (DEEPGEN™) in two clinical laboratories in the United Kingdom: St. George's University Hospitals Healthcare NHS Foundation Trust (London) and at NHS Lothian (Edinburgh), to characterize minority HIV-1 variants in 109 plasma samples from ART-naïve or -experienced individuals. RESULTS Although subtype B HIV-1 strains were highly prevalent (44%, 48/109), most individuals were infected with non-B subtype viruses (i.e., A1, A2, C, D, F1, G, CRF02_AG, and CRF01_AE). DEEPGEN™ was able to accurately detect drug resistance-associated mutations not identified using standard Sanger sequencing-based tests, which correlated significantly with patient's antiretroviral treatment histories. A higher proportion of minority PI-, NRTI-, and NNRTI-resistance mutations was detected in NHS Lothian patients compared to individuals from St. George's, mainly M46I/L and I50 V (associated with PIs), D67 N, K65R, L74I, M184 V/I, and K219Q (NRTIs), and L100I (NNRTIs). Interestingly, we observed an inverse correlation between intra-patient HIV-1 diversity and CD4+ T cell counts in the NHS Lothian patients. CONCLUSIONS This is the first study evaluating the transition, training, and implementation of DEEPGEN™ between three clinical laboratories in two different countries. More importantly, we were able to characterize the HIV-1 drug resistance profile (including minority variants), coreceptor tropism, subtyping, and intra-patient viral diversity in patients from the United Kingdom, providing a rigorous foundation for basing clinical decisions on highly sensitive and cost-effective deep sequencing-based HIV-1 genotyping assays in the country.
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Sanger and Next Generation Sequencing Approaches to Evaluate HIV-1 Virus in Blood Compartments. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15081697. [PMID: 30096879 PMCID: PMC6122037 DOI: 10.3390/ijerph15081697] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Revised: 08/03/2018] [Accepted: 08/06/2018] [Indexed: 01/23/2023]
Abstract
The implementation of antiretroviral treatment combined with the monitoring of drug resistance mutations improves the quality of life of HIV-1 positive patients. The drug resistance mutation patterns and viral genotypes are currently analyzed by DNA sequencing of the virus in the plasma of patients. However, the virus compartmentalizes, and different T cell subsets may harbor distinct viral subsets. In this study, we compared the patterns of HIV distribution in cell-free (blood plasma) and cell-associated viruses (peripheral blood mononuclear cells, PBMCs) derived from ART-treated patients by using Sanger sequencing- and Next-Generation sequencing-based HIV assay. CD4+CD45RA−RO+ memory T-cells were isolated from PBMCs using a BD FACSAria instrument. HIV pol (protease and reverse transcriptase) was RT-PCR or PCR amplified from the plasma and the T-cell subset, respectively. Sequences were obtained using Sanger sequencing and Next-Generation Sequencing (NGS). Sanger sequences were aligned and edited using RECall software (beta v3.03). The Stanford HIV database was used to evaluate drug resistance mutations. Illumina MiSeq platform and HyDRA Web were used to generate and analyze NGS data, respectively. Our results show a high correlation between Sanger sequencing and NGS results. However, some major and minor drug resistance mutations were only observed by NGS, albeit at different frequencies. Analysis of low-frequency drugs resistance mutations and virus distribution in the blood compartments may provide information to allow a more sustainable response to therapy and better disease management.
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