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Baxter J, Langhorne S, Shi T, Tully DC, Villabona-Arenas CJ, Hué S, Albert J, Leigh Brown A, Atkins KE. Inferring the multiplicity of founder variants initiating HIV-1 infection: a systematic review and individual patient data meta-analysis. THE LANCET. MICROBE 2023; 4:e102-e112. [PMID: 36642083 DOI: 10.1016/s2666-5247(22)00327-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 10/26/2022] [Accepted: 10/28/2022] [Indexed: 01/15/2023]
Abstract
BACKGROUND HIV-1 infections initiated by multiple founder variants are characterised by a higher viral load and a worse clinical prognosis than those initiated with single founder variants, yet little is known about the routes of exposure through which transmission of multiple founder variants is most probable. Here we used individual patient data to calculate the probability of multiple founders stratified by route of HIV exposure and study methodology. METHODS We conducted a systematic review and meta-analysis of studies that estimated founder variant multiplicity in HIV-1 infection, searching MEDLINE, Embase, and Global Health databases for papers published between Jan 1, 1990, and Sept 14, 2020. Eligible studies must have reported original estimates of founder variant multiplicity in people with acute or early HIV-1 infections, have clearly detailed the methods used, and reported the route of exposure. Studies were excluded if they reported data concerning people living with HIV-1 who had known or suspected superinfection, who were documented as having received pre-exposure prophylaxis, or if the transmitting partner was known to be receiving antiretroviral treatment. Individual patient data were collated from all studies, with authors contacted if these data were not publicly available. We applied logistic meta-regression to these data to estimate the probability that an HIV infection is initiated by multiple founder variants. We calculated a pooled estimate using a random effects model, subsequently stratifying this estimate across exposure routes in a univariable analysis. We then extended our model to adjust for different study methods in a multivariable analysis, recalculating estimates across the exposure routes. This study is registered with PROSPERO, CRD42020202672. FINDINGS We included 70 publications in our analysis, comprising 1657 individual patients. Our pooled estimate of the probability that an infection is initiated by multiple founder variants was 0·25 (95% CI 0·21-0·29), with moderate heterogeneity (Q=132·3, p<0·0001, I2=64·2%). Our multivariable analysis uncovered differences in the probability of multiple variant infection by exposure route. Relative to a baseline of male-to-female transmission, the predicted probability for female-to-male multiple variant transmission was significantly lower at 0·13 (95% CI 0·08-0·20), and the probabilities were significantly higher for transmissions in people who inject drugs (0·37 [0·24-0·53]) and men who have sex with men (0·30 [0·33-0·40]). There was no significant difference in the probability of multiple variant transmission between male-to-female transmission (0·21 [0·14-0·31]), post-partum transmission (0·18 [0·03-0·57]), pre-partum transmission (0·17 [0·08-0·33]), and intra-partum transmission (0·27 [0·14-0·45]). INTERPRETATION We identified that transmissions in people who inject drugs and men who have sex with men are significantly more likely to result in an infection initiated by multiple founder variants, and female-to-male infections are significantly less probable. Quantifying how the routes of HIV infection affect the transmission of multiple variants allows us to better understand how the evolution and epidemiology of HIV-1 determine clinical outcomes. FUNDING Medical Research Council Precision Medicine Doctoral Training Programme and a European Research Council Starting Grant.
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Affiliation(s)
- James Baxter
- Usher Institute, The University of Edinburgh, Edinburgh, UK.
| | - Sarah Langhorne
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Ting Shi
- Usher Institute, The University of Edinburgh, Edinburgh, UK
| | - Damien C Tully
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Ch Julián Villabona-Arenas
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Stéphane Hué
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Jan Albert
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Microbiology, Karolinska University Hospital, Stockholm, Sweden
| | - Andrew Leigh Brown
- Institute of Evolutionary Biology, The University of Edinburgh, Edinburgh, UK
| | - Katherine E Atkins
- Usher Institute, The University of Edinburgh, Edinburgh, UK; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
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Cardona-Ospina JA, Stittleburg V, Millan-Benavidez N, Restrepo-Chica J, Key A, Rojas-Gallardo DM, Piantadosi A, Collins MH, Waggoner JJ. Sensitive and Stable Molecular Detection of Dengue, Chikungunya, and Zika Viruses from Dried Blood Spots. Am J Trop Med Hyg 2022; 107:296-299. [PMID: 35895398 PMCID: PMC9393429 DOI: 10.4269/ajtmh.21-1087] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 03/05/2022] [Indexed: 08/03/2023] Open
Abstract
Standard molecular detection of many pathogens, in particular RNA viruses, requires appropriate handling in the field for preserving the quality of the sample until processing. This could be challenging in remote tropical areas. Dengue virus (DENV), chikungunya virus (CHIKV), and Zika virus (ZIKV) are RNA viruses, prominent among the causes of fever in the tropics. We aimed to test the stability of arboviral RNA in contrived dried blood spots prepared on Whatman 903 Protein saver cards as a means of sample collection and storage. We were able to detect DENV, CHIKV, and ZIKV by real-time RT-PCR up to 180 days after card inoculation with stable Ct values across the study period. Our study supports dried blood spots (DBS) on protein saver cards as a platform for stable detection of arboviral RNA of sufficient quality to be used in diagnostic RT-PCR assays and next generation sequencing.
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Affiliation(s)
- Jaime A. Cardona-Ospina
- Grupo de Investigación Biomedicina, Facultad de Medicina, Institución Universitaria Visión de las Américas, Pereira, Risaralda, Colombia
- Emerging Infectious Diseases and Tropical Medicine Research Group, Sci-help, Pereira, Risaralda, Colombia
| | - Victoria Stittleburg
- Department of Medicine, Division of Infectious Diseases, Emory University, Atlanta, Georgia
| | - Natalia Millan-Benavidez
- Grupo de Investigación Biomedicina, Facultad de Medicina, Institución Universitaria Visión de las Américas, Pereira, Risaralda, Colombia
| | - Juliana Restrepo-Chica
- Grupo de Investigación Biomedicina, Facultad de Medicina, Institución Universitaria Visión de las Américas, Pereira, Risaralda, Colombia
| | - Autum Key
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, Georgia
| | - Diana Marcela Rojas-Gallardo
- Grupo de Investigación Biomedicina, Facultad de Medicina, Institución Universitaria Visión de las Américas, Pereira, Risaralda, Colombia
| | - Anne Piantadosi
- Department of Medicine, Division of Infectious Diseases, Emory University, Atlanta, Georgia
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, Georgia
| | - Matthew H. Collins
- Department of Medicine, Division of Infectious Diseases, Emory University, Atlanta, Georgia
- Department of Global Health, Rollins School of Public Health, Atlanta, Georgia
| | - Jesse J. Waggoner
- Department of Medicine, Division of Infectious Diseases, Emory University, Atlanta, Georgia
- Department of Global Health, Rollins School of Public Health, Atlanta, Georgia
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Pujol-Hodge E, Salazar-Gonzalez JF, Ssemwanga D, Charlebois ED, Ayieko J, Grant HE, Liegler T, Atkins KE, Kaleebu P, Kamya MR, Petersen M, Havlir DV, Leigh Brown AJ. Detection of HIV-1 Transmission Clusters from Dried Blood Spots within a Universal Test-and-Treat Trial in East Africa. Viruses 2022; 14:1673. [PMID: 36016295 PMCID: PMC9414799 DOI: 10.3390/v14081673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 07/15/2022] [Accepted: 07/25/2022] [Indexed: 11/24/2022] Open
Abstract
The Sustainable East Africa Research in Community Health (SEARCH) trial was a universal test-and-treat (UTT) trial in rural Uganda and Kenya, aiming to lower regional HIV-1 incidence. Here, we quantify breakthrough HIV-1 transmissions occurring during the trial from population-based, dried blood spot samples. Between 2013 and 2017, we obtained 549 gag and 488 pol HIV-1 consensus sequences from 745 participants: 469 participants infected prior to trial commencement and 276 SEARCH-incident infections. Putative transmission clusters, with a 1.5% pairwise genetic distance threshold, were inferred from maximum likelihood phylogenies; clusters arising after the start of SEARCH were identified with Bayesian time-calibrated phylogenies. Our phylodynamic approach identified nine clusters arising after the SEARCH start date: eight pairs and one triplet, representing mostly opposite-gender linked (6/9), within-community transmissions (7/9). Two clusters contained individuals with non-nucleoside reverse transcriptase inhibitor (NNRTI) resistance, both linked to intervention communities. The identification of SEARCH-incident, within-community transmissions reveals the role of unsuppressed individuals in sustaining the epidemic in both arms of a UTT trial setting. The presence of transmitted NNRTI resistance, implying treatment failure to the efavirenz-based antiretroviral therapy (ART) used during SEARCH, highlights the need to improve delivery and adherence to up-to-date ART recommendations, to halt HIV-1 transmission.
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Affiliation(s)
- Emma Pujol-Hodge
- Ashworth Laboratories, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3FL, UK; (E.P.-H.); (H.E.G.)
| | - Jesus F. Salazar-Gonzalez
- Medical Research Council (MRC)/Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM) Uganda Research Unit, Entebbe P.O. Box 49, Uganda; (J.F.S.-G.); (D.S.); (P.K.)
| | - Deogratius Ssemwanga
- Medical Research Council (MRC)/Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM) Uganda Research Unit, Entebbe P.O. Box 49, Uganda; (J.F.S.-G.); (D.S.); (P.K.)
- Uganda Virus Research Institute, Entebbe P.O. Box 49, Uganda
| | - Edwin D. Charlebois
- Division of Prevention Science, Department of Medicine, University of California, San Francisco, CA 94158, USA;
| | - James Ayieko
- Kenya Medical Research Institute, Nairobi P.O. Box 54840-00200, Kenya;
| | - Heather E. Grant
- Ashworth Laboratories, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3FL, UK; (E.P.-H.); (H.E.G.)
| | - Teri Liegler
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA 94110, USA; (T.L.); (D.V.H.)
| | - Katherine E. Atkins
- Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK;
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, LSHTM, London WC1E 7HT, UK
- Centre for Mathematical Modelling of Infectious Diseases, LSHTM, London WC1E 7HT, UK
| | - Pontiano Kaleebu
- Medical Research Council (MRC)/Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM) Uganda Research Unit, Entebbe P.O. Box 49, Uganda; (J.F.S.-G.); (D.S.); (P.K.)
- Uganda Virus Research Institute, Entebbe P.O. Box 49, Uganda
| | - Moses R. Kamya
- School of Medicine, Makerere University, Kampala P.O. Box 7072, Uganda;
| | - Maya Petersen
- Division of Biostatistics, School of Public Health, University of California, Berkeley, CA 94720, USA;
| | - Diane V. Havlir
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA 94110, USA; (T.L.); (D.V.H.)
| | - Andrew J. Leigh Brown
- Ashworth Laboratories, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3FL, UK; (E.P.-H.); (H.E.G.)
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Kijak GH, Sanders-Buell E, Pham P, Harbolick EA, Oropeza C, O'Sullivan AM, Bose M, Beckett CG, Milazzo M, Robb ML, Peel SA, Scott PT, Michael NL, Armstrong AW, Kim JH, Brett-Major DM, Tovanabutra S. Next-generation sequencing of HIV-1 single genome amplicons. BIOMOLECULAR DETECTION AND QUANTIFICATION 2019; 17:100080. [PMID: 30923677 PMCID: PMC6423504 DOI: 10.1016/j.bdq.2019.01.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2018] [Revised: 01/18/2019] [Accepted: 01/29/2019] [Indexed: 12/14/2022]
Abstract
The analysis of HIV-1 sequences has helped understand the viral molecular epidemiology, monitor the development of antiretroviral drug resistance, and design candidate vaccines. The introduction of single genome amplification (SGA) has been a major advancement in the field, allowing for the characterization of multiple sequences per patient while preserving linkage among polymorphisms in the same viral genome copy. Sequencing of SGA amplicons is performed by capillary Sanger sequencing, which presents low throughput, requires a high amount of template, and is highly sensitive to template/primer mismatching. In order to meet the increasing demand for HIV-1 SGA amplicon sequencing, we have developed a platform based on benchtop next-generation sequencing (NGS) (IonTorrent) accompanied by a bioinformatics pipeline capable of running on computer resources commonly available at research laboratories. During assay validation, the NGS-based sequencing of 10 HIV-1 env SGA amplicons was fully concordant with Sanger sequencing. The field test was conducted on plasma samples from 10 US Navy and Marine service members with recent HIV-1 infection (sampling interval: 2005–2010; plasma viral load: 5,884–194,984 copies/ml). The NGS analysis of 101 SGA amplicons (median: 10 amplicons/individual) showed within-individual viral sequence profiles expected in individuals at this disease stage, including individuals with highly homogeneous quasispecies, individuals with two highly homogeneous viral lineages, and individuals with heterogeneous viral populations. In a scalability assessment using the Ion Chef automated system, 41/43 tested env SGA amplicons (95%) multiplexed on a single Ion 318 chip showed consistent gene-wide coverage >50×. With lower sample requirements and higher throughput, this approach is suitable to support the increasing demand for high-quality and cost-effective HIV-1 sequences in fields such as molecular epidemiology, and development of preventive and therapeutic strategies.
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Affiliation(s)
- Gustavo H Kijak
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Eric Sanders-Buell
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Phuc Pham
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Elizabeth A Harbolick
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Celina Oropeza
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Anne Marie O'Sullivan
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Meera Bose
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | | | - Mark Milazzo
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Merlin L Robb
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Sheila A Peel
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | - Paul T Scott
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | - Nelson L Michael
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | | | - Jerome H Kim
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | - David M Brett-Major
- Department of Preventive Medicine and Biostatistics, F. Edward Hébert School of Medicine, Uniformed Services University, Bethesda, MD, United States
| | - Sodsai Tovanabutra
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
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5
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Singh D, Dhummakupt A, Siems L, Persaud D. Alternative Sample Types for HIV-1 Antiretroviral Drug Resistance Testing. J Infect Dis 2017; 216:S834-S837. [PMID: 29029130 DOI: 10.1093/infdis/jix386] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Monitoring human immunodeficiency virus type 1 (HIV-1) drug resistance is critical for assessing ART effectiveness and treatment outcomes for HIV-1-infected individuals, including children, worldwide. Traditionally, testing for HIV-1 drug resistance has primarily been performed on plasma samples, and with commercially available, clinically validated assays that are costly and difficult to access. While plasma is the preferred sample for HIV-1 drug resistance genotyping, plasma analysis requires sophisticated laboratory equipment, personnel, space, and stringent storage conditions for maintenance of sample integrity and transport. With the limitations in feasibility and affordability of providing these ideal conditions for plasma genotyping in resource-constrained settings, the field has gained substantial experience with the dried blood spot (DBS) technique as an alternative. Moreover, DBS analysis can be used to comprehensively monitor the spread of the epidemic with applications to more-sensitive and quantitative technologies to assess HIV-1 globally.
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Affiliation(s)
- Dolly Singh
- Department of Pediatrics, Johns Hopkins University School of Medicine
| | - Adit Dhummakupt
- Department of Pediatrics, Johns Hopkins University School of Medicine
| | - Lilly Siems
- Department of Pediatrics, Johns Hopkins University School of Medicine
| | - Deborah Persaud
- Department of Pediatrics, Johns Hopkins University School of Medicine
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Noguera-Julian M, Edgil D, Harrigan PR, Sandstrom P, Godfrey C, Paredes R. Next-Generation Human Immunodeficiency Virus Sequencing for Patient Management and Drug Resistance Surveillance. J Infect Dis 2017; 216:S829-S833. [PMID: 28968834 PMCID: PMC5853595 DOI: 10.1093/infdis/jix397] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
High-quality, simplified, and low-cost human immunodeficiency virus (HIV) drug resistance tests that are able to provide timely actionable HIV resistance data at individual, population, and programmatic levels are needed to confront the emerging drug-resistant HIV epidemic. Next-generation sequencing technologies embedded in automated cloud-computing analysis environments are ideally suited for such endeavor. Whereas NGS can reduce costs over Sanger sequencing, automated analysis pipelines make NGS accessible to molecular laboratories regardless of the available bioinformatic skills. They can also produce highly structured, high-quality data that could be examined by healthcare officials and program managers on a real-time basis to allow timely public health action. Here we discuss the opportunities and challenges of such an approach.
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Affiliation(s)
- Marc Noguera-Julian
- IrsiCaixa AIDS Research Institute
- Universitat Autònoma de Barcelona
- Universitat de Vic-Universitat Central de Catalunya, Spain
| | - Dianna Edgil
- United States Agency for International Development
| | - P Richard Harrigan
- British Columbia Centre for Excellence in HIV/AIDS, University of British Columbia
| | - Paul Sandstrom
- National HIV and Retrovirology Laboratory, JC Wilt Infectious Diseases Research Centre, Public Health Agency of Canada, Canada
| | - Catherine Godfrey
- Division of AIDS, National Institute of Allergy and Infectious Diseases, National Institutes of Health
| | - Roger Paredes
- IrsiCaixa AIDS Research Institute
- Universitat Autònoma de Barcelona
- Universitat de Vic-Universitat Central de Catalunya, Spain
- Infectious Diseases Unit, Hospital Universitari Germans Trias i Pujol, Spain
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Parikh UM, McCormick K, van Zyl G, Mellors JW. Future technologies for monitoring HIV drug resistance and cure. Curr Opin HIV AIDS 2017; 12:182-189. [PMID: 28059958 PMCID: PMC6738332 DOI: 10.1097/coh.0000000000000344] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
PURPOSE OF REVIEW Sensitive, scalable and affordable assays are critically needed for monitoring the success of interventions for preventing, treating and attempting to cure HIV infection. This review evaluates current and emerging technologies that are applicable for both surveillance of HIV drug resistance (HIVDR) and characterization of HIV reservoirs that persist despite antiretroviral therapy and are obstacles to curing HIV infection. RECENT FINDINGS Next-generation sequencing (NGS) has the potential to be adapted into high-throughput, cost-efficient approaches for HIVDR surveillance and monitoring during continued scale-up of antiretroviral therapy and rollout of preexposure prophylaxis. Similarly, improvements in PCR and NGS are resulting in higher throughput single genome sequencing to detect intact proviruses and to characterize HIV integration sites and clonal expansions of infected cells. SUMMARY Current population genotyping methods for resistance monitoring are high cost and low throughput. NGS, combined with simpler sample collection and storage matrices (e.g. dried blood spots), has considerable potential to broaden global surveillance and patient monitoring for HIVDR. Recent adaptions of NGS to identify integration sites of HIV in the human genome and to characterize the integrated HIV proviruses are likely to facilitate investigations of the impact of experimental 'curative' interventions on HIV reservoirs.
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Affiliation(s)
- Urvi M Parikh
- aDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA bDivision of Medical Virology, Stellenbosch University and NHLS Tygerberg, Cape Town, South Africa
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