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Yuan D, Zhao F, Liu S, Liu Y, Yan H, Liu L, Su B, Wang B. Dual Infection of Different Clusters of HIV in People Living with HIV Worldwide: A Meta-Analysis Based on Next-Generation Sequencing Studies. AIDS Patient Care STDS 2024; 38:348-357. [PMID: 38957963 DOI: 10.1089/apc.2024.0100] [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] [Indexed: 07/04/2024] Open
Abstract
To understand the global dual HIV infection (DI) profiles comprehensively, the databases Cochrane Library, Embase, PubMed, and Web of Science were the data sources up to March 31, 2024 (PROSPERO: CRD42023388328). Stata and R-language software were used to analyze the extracted data. Publication bias was assessed using Egger's test. Sensitivity analysis was conducted to evaluate the stability of the combined effect values. Data from 17 eligible studies across four continents (Africa, Asia, Europe, and North America) with 1,475 subjects were used. The combined dual infection rate (DIR) was 10.47% (95% CI: 7.11%-14.38%) without a time trend (p = 0.105). The DIRs of target population groups differed significantly, with FSWs having the highest DIR (15.14%), followed by general population (12.08%), MSM (11.84%), and DUs (9.76%). The subtype profiles of 122 patients with dual infection were extracted, and the results showed that intrasubtype infections were predominant in coinfection (16/22, 72.73%) and superinfection (68/100, 68.00%) groups, with the subtype pattern B and B accounts for the largest proportion. The global dual infection rate may be underestimated, even though the data fluctuated around 10% and showed no time trend. The occurrence of DI indicated that individuals still do not acquire sufficient resistance to HIV even after primary infection, which could potentially compromise the patient's treatment effect and lead to the emergence of new subtypes, posing a significant challenge to HIV prevention, control, and treatment, suggesting that behavioral counseling and health education for all HIV-infected individuals are still crucial during the antiviral therapy.
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Affiliation(s)
- Defu Yuan
- Department of Epidemiology and Health Statistics, School of Public Health, Key Laboratory of Environmental Medicine Engineering of Ministry of Education, Southeast University, Nanjing, China
| | - Fei Zhao
- Beijing Key Laboratory for HIV/AIDS Research, Central Laboratory, Sino-French Joint Laboratory for HIV/AIDS Research, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Shanshan Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Key Laboratory of Environmental Medicine Engineering of Ministry of Education, Southeast University, Nanjing, China
| | - Yangyang Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Key Laboratory of Environmental Medicine Engineering of Ministry of Education, Southeast University, Nanjing, China
| | - Hongxia Yan
- Beijing Key Laboratory for HIV/AIDS Research, Central Laboratory, Sino-French Joint Laboratory for HIV/AIDS Research, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Lifeng Liu
- Beijing Key Laboratory for HIV/AIDS Research, Central Laboratory, Sino-French Joint Laboratory for HIV/AIDS Research, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Bin Su
- Beijing Key Laboratory for HIV/AIDS Research, Central Laboratory, Sino-French Joint Laboratory for HIV/AIDS Research, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Bei Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Key Laboratory of Environmental Medicine Engineering of Ministry of Education, Southeast University, Nanjing, China
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2
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Kasirye R, Hume HA, Bloch EM, Lubega I, Kyeyune D, Shrestha R, Ddungu H, Musana HW, Dhabangi A, Ouma J, Eroju P, de Lange T, Tartakovsky M, White JL, Kakura C, Fowler MG, Musoke P, Nolan M, Grabowski MK, Moulton LH, Stramer SL, Whitby D, Zimmerman PA, Wabwire D, Kajja I, McCullough J, Goodrich R, Quinn TC, Cortes R, Ness PM, Tobian AAR. The Mirasol Evaluation of Reduction in Infections Trial (MERIT): study protocol for a randomized controlled clinical trial. Trials 2022; 23:257. [PMID: 35379302 PMCID: PMC8978156 DOI: 10.1186/s13063-022-06137-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 03/02/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Transfusion-transmitted infections (TTIs) are a global health challenge. One new approach to reduce TTIs is the use of pathogen reduction technology (PRT). In vitro, Mirasol PRT reduces the infectious load in whole blood (WB) by at least 99%. However, there are limited in vivo data on the safety and efficacy of Mirasol PRT. The objective of the Mirasol Evaluation of Reduction in Infections Trial (MERIT) is to investigate whether Mirasol PRT of WB can prevent seven targeted TTIs (malaria, bacteria, human immunodeficiency virus, hepatitis B virus, hepatitis C virus, hepatitis E virus, and human herpesvirus 8). METHODS MERIT is a randomized, double-blinded, controlled clinical trial. Recruitment started in November 2019 and is expected to end in 2024. Consenting participants who require transfusion as medically indicated at three hospitals in Kampala, Uganda, will be randomized to receive either Mirasol-treated WB (n = 1000) or standard WB (n = 1000). TTI testing will be performed on donor units and recipients (pre-transfusion and day 2, day 7, week 4, and week 10 after transfusion). The primary endpoint is the cumulative incidence of one or more targeted TTIs from the Mirasol-treated WB vs. standard WB in a previously negative recipient for the specific TTI that is also detected in the donor unit. Log-binomial regression models will be used to estimate the relative risk reduction of a TTI by 10 weeks associated with Mirasol PRT. The clinical effectiveness of Mirasol WB compared to standard WB products in recipients will also be evaluated. DISCUSSION Screening infrastructure for TTIs in low-resource settings has gaps, even for major TTIs. PRT presents a fast, potentially cost-effective, and easy-to-use technology to improve blood safety. MERIT is the largest clinical trial designed to evaluate the use of Mirasol PRT for WB. In addition, this trial will provide data on TTIs in Uganda. TRIAL REGISTRATION Mirasol Evaluation of Reduction in Infections Trial (MERIT) NCT03737669 . Registered on 9 November 2018.
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Affiliation(s)
- Ronnie Kasirye
- grid.421981.7MUJHU Research Collaboration, Kampala, Uganda
| | - Heather A. Hume
- grid.14848.310000 0001 2292 3357Department of Pediatrics, University of Montreal, Montréal, QC Canada
| | - Evan M. Bloch
- grid.21107.350000 0001 2171 9311Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, MD USA
| | - Irene Lubega
- grid.421981.7MUJHU Research Collaboration, Kampala, Uganda
| | | | - Ruchee Shrestha
- grid.21107.350000 0001 2171 9311Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, MD USA
| | - Henry Ddungu
- grid.512320.70000 0004 6015 3252Uganda Cancer Institute, Kampala, Uganda
| | | | - Aggrey Dhabangi
- grid.11194.3c0000 0004 0620 0548Child Health and Development Centre, Makerere University College of Health Sciences, Kampala, Uganda
| | - Joseph Ouma
- grid.421981.7MUJHU Research Collaboration, Kampala, Uganda
| | | | - Telsa de Lange
- grid.419681.30000 0001 2164 9667National Institute of Allergy and Infectious Diseases Office of Cyber Infrastructure and Computational Biology, Bethesda, MD USA
| | - Michael Tartakovsky
- grid.419681.30000 0001 2164 9667National Institute of Allergy and Infectious Diseases Office of Cyber Infrastructure and Computational Biology, Bethesda, MD USA
| | - Jodie L. White
- grid.21107.350000 0001 2171 9311Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, MD USA
| | - Ceasar Kakura
- grid.421981.7MUJHU Research Collaboration, Kampala, Uganda
| | - Mary Glenn Fowler
- grid.21107.350000 0001 2171 9311Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, MD USA
| | - Philippa Musoke
- grid.11194.3c0000 0004 0620 0548Makerere University, Kampala, Uganda
| | - Monica Nolan
- grid.421981.7MUJHU Research Collaboration, Kampala, Uganda
| | - M. Kate Grabowski
- grid.21107.350000 0001 2171 9311Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, MD USA
| | - Lawrence H. Moulton
- grid.21107.350000 0001 2171 9311Department of International Health, School of Public Health, Johns Hopkins University, Baltimore, MD USA
| | - Susan L. Stramer
- grid.281926.60000 0001 2214 8581Department of Scientific Affairs, American Red Cross, Gaithersburg, MD USA
| | - Denise Whitby
- grid.418021.e0000 0004 0535 8394Leidos Biomedical Research, AIDS and Cancer Virus Program, Frederick National Laboratory for Cancer Research, Frederick, MD USA
| | - Peter A. Zimmerman
- grid.67105.350000 0001 2164 3847The Center for Global Health & Diseases, Pathology Department, Case Western Reserve University, Cleveland, OH USA
| | - Deo Wabwire
- grid.421981.7MUJHU Research Collaboration, Kampala, Uganda
| | - Isaac Kajja
- grid.11194.3c0000 0004 0620 0548Department of Orthopaedics, Makerere University College of Health Sciences, Kampala, Uganda
| | - Jeffrey McCullough
- grid.215654.10000 0001 2151 2636College of Health Solutions, Arizona State University, Phoenix, AZ USA
| | - Raymond Goodrich
- grid.47894.360000 0004 1936 8083Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO USA
| | - Thomas C. Quinn
- grid.21107.350000 0001 2171 9311Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Department of International Health, School of Public Health, Johns Hopkins University, Baltimore, MD USA ,grid.94365.3d0000 0001 2297 5165Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD USA
| | | | - Paul M. Ness
- grid.21107.350000 0001 2171 9311Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, MD USA
| | - Aaron A. R. Tobian
- grid.21107.350000 0001 2171 9311Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, MD USA ,grid.11194.3c0000 0004 0620 0548Department of Paediatrics and Child Health, College of Health Sciences, Makerere University, Kampala, Uganda
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Capoferri AA, Redd AD, Gocke CD, Clark LR, Quinn TC, Ambinder RF, Durand CM. Brief Report: Rebound HIV Viremia With Meningoencephalitis After Antiretroviral Therapy Interruption After Allogeneic Bone Marrow Transplant. J Acquir Immune Defic Syndr 2022; 89:297-302. [PMID: 34753870 PMCID: PMC10985789 DOI: 10.1097/qai.0000000000002862] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 10/29/2021] [Indexed: 01/28/2023]
Abstract
BACKGROUND Allogeneic bone marrow transplant (alloBMT) in people living with HIV can lead to the undetectable levels of HIV reservoirs in blood, even using highly sensitive assays. However, with antiretroviral therapy (ART) interruption, rebound of HIV viremia occurs. The source of this rebound viremia is of interest in HIV cure strategies. METHODS Within a trial of alloBMT in individuals with hematologic malignancies and HIV (ClinicalTrials.gov, NCT01836068), one recipient self-interrupted ART after achieving >99.5% host cell replacement in peripheral blood by day 147 and developed severe acute retroviral syndrome with meningoencephalitis at 156 days post alloBMT. We isolated replication-competent HIV using a quantitative viral outgrowth assay at 100 and 25 days before alloBMT and from the same time points before alloBMT for HIV DNA and cell-associated RNA from peripheral blood mononuclear cells and resting memory CD4+ T cells. We isolated HIV RNA in plasma and cerebrospinal fluid (CSF) at viral rebound. We sequenced the RT-region of pol and performed neighbor-joining phylogenetic reconstruction. RESULTS Phylogenetic analysis revealed an identical viral sequence at both pre-alloBMT time points accounting for 9 of 34 sequences (26%) of the sampled HIV reservoir. This sequence population grouped with viral rebound sequences from plasma and CSF with high sequence homology. DISCUSSION Despite >99.5% replacement of host cells in peripheral blood, ART interruption led to HIV viral rebound in plasma and CSF. Furthermore, the rebound virus matched replication-competent virus from resting memory CD4+ T cells before alloBMT. This case underscores that HIV-infected recipient cells can persist after alloBMT and that latent replication-competent virus can reestablish infection.
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Affiliation(s)
| | - Andrew D. Redd
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | | | - Laura R. Clark
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Sidney Kimmel Cancer Center, Baltimore, MD, USA
| | - Thomas C. Quinn
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Richard F. Ambinder
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Sidney Kimmel Cancer Center, Baltimore, MD, USA
| | - Christine M. Durand
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Sidney Kimmel Cancer Center, Baltimore, MD, USA
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4
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Capoferri AA, Redd AD, Gocke CD, Clark LR, Ambinder RF, Durand CM. Short Communication: Persistence of HIV After Allogeneic Bone Marrow Transplant in a Dually Infected Individual. AIDS Res Hum Retroviruses 2022; 38:33-36. [PMID: 34107771 PMCID: PMC8817692 DOI: 10.1089/aid.2021.0047] [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: 01/03/2023] Open
Abstract
Allogeneic bone marrow transplant (alloBMT) with continuous antiretroviral therapy alone has not been shown to completely eradicate HIV, possibly due to HIV persistence in rare residual host cells or infection of donor cells. Within a trial of alloBMT in individuals with hematological malignancies and HIV (ClinicalTrials.gov, NCT01836068), we measured HIV reservoirs longitudinally using a quantitative viral outgrowth assay. We sequenced the reverse transcriptase region of pol for replication-competent virus and performed maximum-likelihood phylogenetic reconstruction. Replacement of host cells was measured using short-tandem repeats. In one participant who had ≥99.5% donor cell replacement, HIV reservoirs declined from 2.2 infectious units per million to undetectable levels at post-alloBMT time points except for week 64. Sequence analysis revealed dual infection pre-alloBMT. Replication-competent virus isolated at week 64 post-alloBMT was identical to a pre-alloBMT variant. This report provides proof-of-concept that minor replication-competent HIV variants can persist at low levels despite ≥99.5% donor cell engraftment post-alloBMT.
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Affiliation(s)
- Adam A. Capoferri
- School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Andrew D. Redd
- School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.,Laboratory of Immunoregulation, NIAID, NIH, Bethesda, Maryland, USA
| | | | - Laura R. Clark
- School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.,Sidney Kimmel Cancer Center, Baltimore, Maryland, USA
| | | | - Christine M. Durand
- School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.,Sidney Kimmel Cancer Center, Baltimore, Maryland, USA.,Address correspondence to: Christine M. Durand, School of Medicine, Johns Hopkins University, 725 N Wolfe Street, Baltimore, MD 21205, USA
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5
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Abstract
OBJECTIVE We investigated the duration of HIV transmission clusters. DESIGN Fifty-four individuals newly infected at enrollment in the ALIVE cohort were included, all of whom had sequences at an intake visit (T1) and from a second (T2) and/or a third (T3) follow-up visit, median 2.9 and 5.4 years later, respectively. METHODS Sequences were generated using the 454 DNA sequencing platform for portions of HIV pol and env (HXB2 positions 2717-3230; 7941-8264). Genetic distances were calculated using tn93 and sequences were clustered over a range of thresholds (1--5%) using HIV-TRACE. Analyses were performed separately for individuals with pol sequences for T1 + T2 (n = 40, 'Set 1') and T1 + T3 (n = 25; 'Set 2'), and env sequences for T1 + T2 (n = 47, 'Set 1'), and T1 + T3 (n = 30; 'Set 2'). RESULTS For pol, with one exception, a single cluster contained more than 75% of samples at all thresholds, and cluster composition was at least 90% concordant between time points/thresholds. For env, two major clusters (A and B) were observed at T1 and T2/T3, although cluster composition concordance between time points/thresholds was low (<60%) at lower thresholds for both sets 1 and 2. In addition, several individuals were included in clusters at T2/T3, although not at T1. CONCLUSION Caution should be used in applying a single threshold in population studies where seroconversion dates are unknown. However, the retention of some clusters even after 5 + years is evidence for the robustness of the clustering approach in general.
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Bonny TS, Kirby C, Martens C, Rose R, Desai N, Seisa M, Petropoulos C, Florman S, Friedman-Moraco RJ, Turgeon NA, Brown D, Segev DL, Durand CM, Tobian AAR, Redd AD. Outcomes of donor-derived superinfection screening in HIV-positive to HIV-positive kidney and liver transplantation: a multicentre, prospective, observational study. Lancet HIV 2020; 7:e611-e619. [PMID: 32730756 PMCID: PMC8073978 DOI: 10.1016/s2352-3018(20)30200-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 04/23/2020] [Accepted: 05/04/2020] [Indexed: 01/23/2023]
Abstract
BACKGROUND One of the primary risks of HIV-positive to HIV-positive organ transplantation is loss of virological control because of donor-derived HIV superinfection, which occurs when an HIV-positive individual becomes infected with a new distinct HIV strain. In this study, as part of the larger HIV Organ Policy Equity pilot study, HIV-positive to HIV-positive kidney and liver transplant recipients in the USA were examined for evidence of sustained donor-derived HIV superinfection. METHODS In this multicentre, prospective, observational study, HIV-positive to HIV-positive kidney and liver transplant recipients were followed in three hospitals in the USA. Candidates with well controlled HIV infection on ART, no active opportunistic infections, and minimum CD4 T-cell counts (>100 cells per μL for liver and >200 cells per μL for kidney per federal guidelines) were eligible to receive a kidney or liver from deceased HIV-positive donors without active infections or neoplasm. Peripheral blood mononuclear cells were collected from donor-recipient pairs at the time of transplantation, and from recipients at several timepoints up to 3 years after transplantation. Donor samples were assessed for HIV RNA viral load, CD4 cell count, and antiretroviral drug-resistant mutations. Donor and recipient HIV proviral DNA, and viral RNA from the viraemic timepoint were sequenced using a site-directed next-generation sequencing assay for the reverse transcriptase and gp41 genes. Neighbour-joining phylogenetic trees and direct sequence comparison were used to detect the presence of HIV superinfection. This study is registered with ClinicalTrials.gov, NCT02602262. FINDINGS 14 HIV-positive to HIV-positive kidney and eight liver transplant recipients were followed from March, 2016, to July, 2019. 17 recipients had adequate viral sequences allowing for HIV superinfection assessment. Eight donors were suppressed (viral load <400 copies per mL), and none had multiclass drug-resistant mutations detected. None of the recipients examined had evidence of HIV superinfection. One recipient had a viraemic episode (viral load of 2 080 000 copies per mL) 3 years after transplantation as a result of non-adherence to ART. Only recipient viral sequences were detected during the viraemic episode, suggesting that the donor virus, if present, was not reactivated despite temporary withdrawal of ART. INTERPRETATION These findings suggest that loss of HIV suppression due to donor-derived HIV superinfection might not be a significant clinical concern in carefully monitored ART suppressed HIV-positive organ recipients. FUNDING US National Institute of Allergy and Infectious Diseases and National Cancer Institute.
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Affiliation(s)
- Tania S Bonny
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Charles Kirby
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Craig Martens
- Genomic Unit, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, USA
| | - Rebecca Rose
- Bioinfoexperts, Shreveport, Los Angeles, CA, USA
| | - Niraj Desai
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Michael Seisa
- Laboratory Corporation of America (LabCorp), South San Francisco, CA, USA
| | | | - Sander Florman
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | - Diane Brown
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Dorry L Segev
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | | | - Andrew D Redd
- Johns Hopkins University School of Medicine, Baltimore, MD, USA; International HIV Section, Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Baltimore, MD, USA.
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7
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Zhang Y, Su B, Li H, Han J, Zhang T, Li T, Wu H, Wang X, Li J, Liu Y, Li L. Triple HIV-1 Infection Is Associated With Faster CD4 + T-Cell Decline. Front Microbiol 2020; 11:21. [PMID: 32038599 PMCID: PMC6992562 DOI: 10.3389/fmicb.2020.00021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 01/07/2020] [Indexed: 11/24/2022] Open
Abstract
HIV-1 dual infection occurs when an individual is simultaneously or sequentially infected with two or more genetically distinct HIV-1 strains. According to the number of infected strains, HIV-1 dual infection can be divided in double infection and triple infection and so on. Currently, the majority of dual infection cases have been reported to be double infections which can result in detrimental clinical outcomes. The high incidence of double infection among specific high-risk populations increases the likelihood of triple infection, which has been sporadically described. There is no doubt that we are concerned about the association between triple infection and disease progression. However, this relationship is still unclear on the population level. In this study, 70 individuals from the Beijing PRIMO cohort were longitudinally followed up with a median time of 15.75 months for the purpose of investigating the incidence of dual infection. Phylogenetic analyses using bulk and single-genome sequences showed that nine individuals acquired double infection, with the incidence of 9.21 per 100 person-years, and three individuals with triple infection were identified, with the incidence of 3.07 per 100 person-years. The further survival analysis demonstrated that the triple infection group exhibited faster CD4+ T-cell decline. In summary, these results demonstrate for the first time that the triple HIV-1 infection might reduce CD4+ T-cell counts, which would predict a more rapid disease progression.
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Affiliation(s)
- Yu Zhang
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Bin Su
- Center for Infectious Diseases, Beijing Key Laboratory for HIV/AIDS Research, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Hanping Li
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Jingwan Han
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Tong Zhang
- Center for Infectious Diseases, Beijing Key Laboratory for HIV/AIDS Research, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Tianyi Li
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Hao Wu
- Center for Infectious Diseases, Beijing Key Laboratory for HIV/AIDS Research, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Xiaolin Wang
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Jingyun Li
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Yongjian Liu
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Lin Li
- Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
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8
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Brief Report: Onward Transmission of Multiple HIV-1 Unique Recombinant Forms Among Men Who Have Sex With Men in Beijing, China. J Acquir Immune Defic Syndr 2019; 81:1-4. [PMID: 30768488 DOI: 10.1097/qai.0000000000001983] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Unique recombinant forms (URFs) were generated in dually infected or multiply infected individuals, and some of URFs can be transmitted to many people resulting in the emergence of circulating recombinant forms (CRFs). We examined whether there was evidence for onward transmission of multiple URFs among men who have sex with men (MSM) in Beijing. METHODS A total of 146 MSM subjects with acute/early HIV-1 infection were recruited from the Beijing PRIMO clinical cohort between September 2010 and July 2012. HIV-1 full-length gag and partial pol, env genes were amplified and sequenced separately. Phylogenetic analysis and recombination analysis were performed to determine the viral genotypes. Single genome amplification and direct sequencing were used to confirm onward transmission of URFs. RESULTS CRF01_AE was the most common genotype (51.9%), followed by CRF07_BC (23.0%), subtype B (14.8%), URFs (7.4%), CRF65_cpx (2.2%), and CRF55_01B (0.7%). Multiple forms of URFs were identified, including CRF01_AE/BC, CRF01_AE/B, and CRF01_AE/C. Nine of the 10 individuals harboring URFs were infected by onward transmission of URFs. The remaining one individual was coinfected with CRF01_AE and CRF07_BC variants. CONCLUSIONS We introduced a new method to provide evidence for onward transmission of URF strains by examining the absence of intersubtype coinfection among early infected individuals. Onward transmission of multiple URFs was found among MSM in Beijing, China. Our findings call for a program of continuous molecular surveillance and have implications to prevention programs among MSM in China.
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9
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Ssemwanga D, Doria-Rose NA, Redd AD, Shiakolas AR, Longosz AF, Nsubuga RN, Mayanja BN, Asiki G, Seeley J, Kamali A, Ransier A, Darko S, Walker MP, Bruno D, Martens C, Douek D, Porcella SF, Quinn TC, Mascola JR, Kaleebu P. Characterization of the Neutralizing Antibody Response in a Case of Genetically Linked HIV Superinfection. J Infect Dis 2019; 217:1530-1534. [PMID: 29579256 DOI: 10.1093/infdis/jiy071] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Accepted: 01/31/2018] [Indexed: 01/08/2023] Open
Abstract
This report describes the identification of a genetically confirmed linked heterosexual human immunodeficiency virus (HIV) superinfection (HIV-SI) in a woman with chronic HIV infection who acquired a second strain of the virus from her husband. Serum neutralizing antibody (NAb) responses against their homologous and heterologous viruses, including the superinfecting strain, in the woman and her husband were examined before and after onset of HIV-SI. The woman displayed a moderately potent and broad anti-HIV NAb response prior to superinfection but did not possess NAb activity against the superinfecting strain. This case highlights the unique potential of linked HIV-SI studies to examine natural protection from HIV infection.
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Affiliation(s)
- Deogratius Ssemwanga
- Uganda Research Unit on AIDS, Medical Research Council/Uganda Virus Research Institute, Entebbe
| | | | - Andrew D Redd
- Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda.,Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | - Andrew F Longosz
- Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda
| | - Rebecca N Nsubuga
- Uganda Research Unit on AIDS, Medical Research Council/Uganda Virus Research Institute, Entebbe
| | - Billy N Mayanja
- Uganda Research Unit on AIDS, Medical Research Council/Uganda Virus Research Institute, Entebbe
| | - Gershim Asiki
- Uganda Research Unit on AIDS, Medical Research Council/Uganda Virus Research Institute, Entebbe
| | - Janet Seeley
- Uganda Research Unit on AIDS, Medical Research Council/Uganda Virus Research Institute, Entebbe.,Department of Clinical Research, London School of Hygiene and Tropical Medicine, United Kingdom
| | - Anatoli Kamali
- Uganda Research Unit on AIDS, Medical Research Council/Uganda Virus Research Institute, Entebbe
| | | | | | - Michael P Walker
- Genomics Unit, Research Technologies Branch, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH, Hamilton, Montana
| | - Daniel Bruno
- Genomics Unit, Research Technologies Branch, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH, Hamilton, Montana
| | - Craig Martens
- Genomics Unit, Research Technologies Branch, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH, Hamilton, Montana
| | | | - Stephen F Porcella
- Genomics Unit, Research Technologies Branch, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH, Hamilton, Montana
| | - Thomas C Quinn
- Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda.,Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | - Pontiano Kaleebu
- Uganda Research Unit on AIDS, Medical Research Council/Uganda Virus Research Institute, Entebbe.,Department of Clinical Research, London School of Hygiene and Tropical Medicine, United Kingdom
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10
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Redd AD, Helleberg M, Sievers M, Schmidt SD, Doria-Rose NA, Bruno D, Traeger S, Martens C, Fonager J, Kronborg G, Packman Z, Mascola JR, Porcella SF, Gerstoft J, Quinn TC. Limited anti-HIV neutralizing antibody breadth and potency before and after HIV superinfection in Danish men who have sex with men. Infect Dis (Lond) 2018; 51:56-61. [PMID: 30317905 DOI: 10.1080/23744235.2018.1500708] [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] [Indexed: 10/28/2022] Open
Abstract
BACKGROUND The role of the anti-HIV neutralizing antibody response in protecting against HIV superinfection, and changes in neutralizing antibody potency and breadth after HIV superinfection have not been fully elucidated. This study examined the rate of HIV superinfection in men who have sex with men (MSM) also diagnosed with syphilis in Denmark, and the anti-HIV neutralizing antibody response in men who became superinfected. MATERIALS AND METHODS MSM enrolled in the Danish HIV cohort who acquired syphilis were examined longitudinally for HIV superinfection using a validated next-generation sequencing assay. HIV superinfection cases were matched 3:1 to controls, and neutralizing antibody responses before (cases/controls) and after (cases) HIV superinfection were determined using a 20-pseudovirus panel. RESULTS Four cases of HIV superinfection were identified from 95 MSM screened for a rate of HIV superinfection of 1.56/100 pys (95% CI = 0.43-4.01). Prior to HIV superinfection neutralizing antibody responses were low in breadth and potency, and did not differ between cases and controls (p = 1.0). In cases, neutralizing antibody responses increased modestly after HIV superinfection. CONCLUSIONS These data support the theory that the natural neutralizing antibody response to HIV infection may not be the controlling factor in protecting against a subsequent HIV challenge.
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Affiliation(s)
- Andrew D Redd
- a Laboratory of Immunoregulation, Division of Intramural Research, NIAID, NIH , Bethesda , USA.,b Department of Medicine , Johns Hopkins University School of Medicine , Baltimore , MD , USA
| | - Marie Helleberg
- c Department of Infectious Diseases , Copenhagen University Hospital , Rigshospitalet , Denmark
| | - Matthew Sievers
- b Department of Medicine , Johns Hopkins University School of Medicine , Baltimore , MD , USA
| | | | | | - Daniel Bruno
- e Genomics Unit, Research Technologies Branch, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH , Hamilton , MT , USA
| | - Shelby Traeger
- e Genomics Unit, Research Technologies Branch, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH , Hamilton , MT , USA
| | - Craig Martens
- e Genomics Unit, Research Technologies Branch, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH , Hamilton , MT , USA
| | - Jannik Fonager
- f Section for Virus Surveillance and Research, Department of Virus & Microbiological Special Diagnostics, Infectious Disease Preparedness , Statens Serum Institut , Copenhagen , Denmark
| | - Gitte Kronborg
- g Department of Infectious Diseases , Copenhagen University Hospital , Hvidovre , Denmark
| | - Zoe Packman
- h Department of Pathology , Johns Hopkins University School of Medicine , Baltimore , MD , USA
| | - John R Mascola
- d Vaccine Research Center, NIAID, NIH , Bethesda , MD , USA
| | - Stephen F Porcella
- e Genomics Unit, Research Technologies Branch, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH , Hamilton , MT , USA
| | - Jan Gerstoft
- c Department of Infectious Diseases , Copenhagen University Hospital , Rigshospitalet , Denmark
| | - Thomas C Quinn
- a Laboratory of Immunoregulation, Division of Intramural Research, NIAID, NIH , Bethesda , USA.,b Department of Medicine , Johns Hopkins University School of Medicine , Baltimore , MD , USA
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11
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Móréh Á, Szilágyi A, Scheuring I, Müller V. Variable Effect of HIV Superinfection on Clinical Status: Insights From Mathematical Modeling. Front Microbiol 2018; 9:1634. [PMID: 30083143 PMCID: PMC6064737 DOI: 10.3389/fmicb.2018.01634] [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: 04/06/2018] [Accepted: 06/29/2018] [Indexed: 11/29/2022] Open
Abstract
HIV superinfection (infection of an HIV positive individual with another strain of the virus) has been shown to result in a deterioration of clinical status in multiple case studies. However, superinfection with no (or positive) clinical outcome might easily go unnoticed, and the typical effect of superinfection is unknown. We analyzed mathematical models of HIV dynamics to assess the effect of superinfection under various assumptions. We extended the basic model of virus dynamics to explore systematically a set of model variants incorporating various details of HIV infection (homeostatic target cell dynamics, bystander killing, interference competition between viral clones, multiple target cell types, virus-induced activation of target cells). In each model, we identified the conditions for superinfection, and investigated whether and how successful invasion by a second viral strain affects the level of uninfected target cells. In the basic model, and in some of its extensions, the criteria for invasion necessarily entail a decrease in the equilibrium abundance of uninfected target cells. However, we identified three novel scenarios where superinfection can substantially increase the uninfected cell count: (i) if the rate of new infections saturates at high infectious titers (due to interference competition or cell-autonomous innate immunity); or when the invading strain is more efficient at infecting activated target cells, but less efficient at (ii) activating quiescent cells or (iii) inducing bystander killing of these cells. In addition, multiple target cell types also allow for modest increases in the total target cell count. We thus conclude that the effect of HIV superinfection on clinical status might be variable, complicated by factors that are independent of the invasion fitness of the second viral strain.
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Affiliation(s)
- Ágnes Móréh
- MTA Centre for Ecological Research, Danube Research Institute, Budapest, Hungary
| | - András Szilágyi
- Evolutionary Systems Research Group, MTA Centre for Ecological Research, Tihany, Hungary.,MTA-ELTE Theoretical Biology and Evolutionary Ecology Research Group, Institute of Biology, Eötvös Loránd University, Budapest, Hungary
| | - István Scheuring
- Evolutionary Systems Research Group, MTA Centre for Ecological Research, Tihany, Hungary.,MTA-ELTE Theoretical Biology and Evolutionary Ecology Research Group, Institute of Biology, Eötvös Loránd University, Budapest, Hungary
| | - Viktor Müller
- Evolutionary Systems Research Group, MTA Centre for Ecological Research, Tihany, Hungary.,Department of Plant Systematics, Ecology and Theoretical Biology, Institute of Biology, Eötvös Loránd University, Budapest, Hungary
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12
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Raghwani J, Redd AD, Longosz AF, Wu CH, Serwadda D, Martens C, Kagaayi J, Sewankambo N, Porcella SF, Grabowski MK, Quinn TC, Eller MA, Eller LA, Wabwire-Mangen F, Robb ML, Fraser C, Lythgoe KA. Evolution of HIV-1 within untreated individuals and at the population scale in Uganda. PLoS Pathog 2018; 14:e1007167. [PMID: 30052678 PMCID: PMC6082572 DOI: 10.1371/journal.ppat.1007167] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Revised: 08/08/2018] [Accepted: 06/20/2018] [Indexed: 12/15/2022] Open
Abstract
HIV-1 undergoes multiple rounds of error-prone replication between transmission events, resulting in diverse viral populations within and among individuals. In addition, the virus experiences different selective pressures at multiple levels: during the course of infection, at transmission, and among individuals. Disentangling how these evolutionary forces shape the evolution of the virus at the population scale is important for understanding pathogenesis, how drug- and immune-escape variants are likely to spread in populations, and the development of preventive vaccines. To address this, we deep-sequenced two regions of the HIV-1 genome (p24 and gp41) from 34 longitudinally-sampled untreated individuals from Rakai District in Uganda, infected with subtypes A, D, and inter-subtype recombinants. This dataset substantially increases the availability of HIV-1 sequence data that spans multiple years of untreated infection, in particular for different geographical regions and viral subtypes. In line with previous studies, we estimated an approximately five-fold faster rate of evolution at the within-host compared to the population scale for both synonymous and nonsynonymous substitutions, and for all subtypes. We determined the extent to which this mismatch in evolutionary rates can be explained by the evolution of the virus towards population-level consensus, or the transmission of viruses similar to those that establish infection within individuals. Our findings indicate that both processes are likely to be important.
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Affiliation(s)
- Jayna Raghwani
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Department of Zoology, Peter Medawar Building, University of Oxford, Oxford, United Kingdom
| | - Andrew D. Redd
- Laboratory of Immunoregulation, Division of Intramural Research, NIAID, NIH, Baltimore MD, United States of America
- Department of Medicine, Johns Hopkins Medical Institute, Johns Hopkins University, Baltimore MD, United States of America
| | - Andrew F. Longosz
- Laboratory of Immunoregulation, Division of Intramural Research, NIAID, NIH, Baltimore MD, United States of America
| | - Chieh-Hsi Wu
- Department of Statistics, University of Oxford, Oxford, United Kingdom
| | - David Serwadda
- Rakai Health Sciences Program, Kalisizo, Uganda
- School of Public Health, Makerere University, Kampala, Uganda
| | - Craig Martens
- Genomics Unit, RTS, RTB, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH, Hamilton MT, United States of America
| | | | - Nelson Sewankambo
- Rakai Health Sciences Program, Kalisizo, Uganda
- School of Medicine, Makerere University, Kampala, Uganda
| | - Stephen F. Porcella
- Genomics Unit, RTS, RTB, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH, Hamilton MT, United States of America
| | - Mary K. Grabowski
- Department of Pathology, Johns Hopkins Medical Institute, Johns Hopkins University, Baltimore, MD, United States of America
| | - Thomas C. Quinn
- Laboratory of Immunoregulation, Division of Intramural Research, NIAID, NIH, Baltimore MD, United States of America
- Department of Medicine, Johns Hopkins Medical Institute, Johns Hopkins University, Baltimore MD, United States of America
| | - Michael A. Eller
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States of America
| | - Leigh Anne Eller
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States of America
| | - Fred Wabwire-Mangen
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States of America
| | - Merlin L. Robb
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States of America
| | - Christophe Fraser
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Katrina A. Lythgoe
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Department of Zoology, Peter Medawar Building, University of Oxford, Oxford, United Kingdom
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13
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Blackwell CW. Reducing Risk: Counseling Men Infected with HIV Who Have Sex with Men on Safer Sex Practices with Seroconcordant Partners. SOCIAL WORK IN PUBLIC HEALTH 2018; 33:271-279. [PMID: 29634459 DOI: 10.1080/19371918.2018.1454869] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
The incidence of new HIV infections in the United States continues to be greatest among men who have sex with men (MSM). MSM infected with HIV often seek seroconcordant sexual partners based on intent to limit psychosocial, legal, and health risks they perceive as higher with serodiscordant sexual partners. However, the rationales for limiting sexual relationships exclusively with other MSM infected with HIV may be rooted in misinformation or misperception. Thus, these clients may have a unique sexual health knowledge deficit that nurses, social workers, and other clinicians need to address to help them reduce risk. This article focuses on sexually related health risks that are distinct to MSM infected with HIV seroconcordant partners. Data on the most recent HIV-infection incidence rates in MSM in the United States is provided. Discussion concentrates on the risk these individuals may have in communicating and acquiring sexually transmitted diseases other than HIV, the risk of HIV superinfection, and how sexually transmitted diseases affect persons who are immunocompromised differently than those who are immunocompetent. Finally, recommendations for healthcare professionals who counsel MSM infected with HIV in sexual decision making is provided.
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14
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The Transmission and Evolution of HIV-1 Quasispecies within One Couple: a Follow-up Study based on Next-Generation Sequencing. Sci Rep 2018; 8:1404. [PMID: 29362487 PMCID: PMC5780463 DOI: 10.1038/s41598-018-19783-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Accepted: 01/04/2018] [Indexed: 11/09/2022] Open
Abstract
Next-generation sequencing (NGS) has been successfully used to trace HIV-1 infection. In this study, we investigated the transmission and evolution of HIV-1 quasispecies in a couple infected through heterosexual behavior. A heterosexual couple in which both partners were infected with HIV-1 was followed up for 54 months. Blood samples including whole-blood and plasma samples, were collected at various time points. After HIV-1 subtyping, NGS (Miseq platform) was used to sequence the env region of the HIV-1 quasispecies. Genetic distances were calculated, and phylogenetic trees were generated. We found both partners were infected with HIV-1 subtype circulating recombinant form (CRF), CRF65_cpx. The quasispecies distribution was relatively tightly clustered in the phylogenetic tree during early infection. Over time, the distribution of HIV-1 quasispecies gradually became more dispersed at 12th months, with a progressive increase in gene diversity. By 37th months, the sequences obtained for both partners formed different clusters in the phylogenetic tree. These results suggest that the HIV-1 contact tracing results generated by the Miseq platform may be more reliable than other conventional sequencing methods, which can provide important information about the transmission and evolution of HIV-1. Our findings may help to better target preventative interventions for promoting public health.
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15
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Muller E, Barday Z. HIV-Positive Kidney Donor Selection for HIV-Positive Transplant Recipients. J Am Soc Nephrol 2018; 29:1090-1095. [PMID: 29330339 DOI: 10.1681/asn.2017080853] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
The risks associated with transplanting HIV-positive kidneys into HIV-positive recipients have not been well studied. Since 2008, 43 kidneys from 25 HIV-positive deceased donors have been transplanted into patients who are HIV positive in Cape Town, South Africa. Among the donors, 19 (76%) died secondary to trauma. The average age for donors was 34 (interquartile range, 19-52) years old. In some donors, only one kidney was used because of a limited number of suitable recipients on the waiting list. Only two donors had been previously exposed to antiretroviral triple therapy. In 23 of the deceased organ donors, the HIV status was not known before the time of death. Initial concerns about transplanting HIV-positive allografts into HIV-positive recipients in this clinic revolved around the possibility of HIV superinfection. However, all recipients remained virally suppressed several years after the transplant. Only one recipient experienced an increased viral load after the transplant, which was related to a period of noncompliance on her medication. After counseling and improved compliance, the viral load decreased and became suppressed again. Herein, we discuss the findings of this study and review the literature available on this crucial topic.
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Affiliation(s)
| | - Zunaid Barday
- Division of Nephrology, Department of Medicine, University of Cape Town, Groote Schuur Hospital, Observatory, Cape Town, South Africa
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16
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Johnston C, Magaret A, Roychoudhury P, Greninger AL, Reeves D, Schiffer J, Jerome KR, Sather C, Diem K, Lingappa JR, Celum C, Koelle DM, Wald A. Dual-strain genital herpes simplex virus type 2 (HSV-2) infection in the US, Peru, and 8 countries in sub-Saharan Africa: A nested cross-sectional viral genotyping study. PLoS Med 2017; 14:e1002475. [PMID: 29281620 PMCID: PMC5744910 DOI: 10.1371/journal.pmed.1002475] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2017] [Accepted: 11/20/2017] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Quantitative estimation of the extent to which the immune system's protective effect against one herpes simplex virus type 2 (HSV-2) infection protects against infection with additional HSV-2 strains is important for understanding the potential for HSV-2 vaccine development. Using viral genotyping, we estimated the prevalence of HSV-2 dual-strain infection and identified risk factors. METHODS AND FINDINGS People with and without HIV infection participating in HSV-2 natural history studies (University of Washington Virology Research Clinic) and HIV prevention trials (HIV Prevention Trials Network 039 and Partners in Prevention HSV/HIV Transmission Study) in the US, Africa, and Peru with 2 genital specimens each containing ≥105 copies herpes simplex virus DNA/ml collected a median of 5 months apart (IQR: 2-11 months) were included. It is unlikely that 2 strains would be detected in the same sample simultaneously; therefore, 2 samples were required to detect dual-strain infection. We identified 85 HSV-2 SNPs that, in aggregate, could determine whether paired HSV-2 strains were the same or different with >90% probability. These SNPs were then used to create a customized high-throughput array-based genotyping assay. Participants were considered to be infected with more than 1 strain of HSV-2 if their samples differed by ≥5 SNPs between the paired samples, and dual-strain infection was confirmed using high-throughput sequencing (HTS). We genotyped pairs of genital specimens from 459 people; 213 (46%) were men, the median age was 34 years (IQR: 27-44), and 130 (28%) were HIV seropositive. Overall, 272 (59%) people were from the US, 59 (13%) were from Peru, and 128 (28%) were from 8 countries in Africa. Of the 459 people, 18 (3.9%) met the criteria for dual-strain infection. HTS and phylogenetic analysis of paired specimens confirmed shedding of 2 distinct HSV-2 strains collected at different times in 17 pairs, giving an estimated dual-strain infection prevalence of 3.7% (95% CI = 2.0%-5.4%). Paired samples with dual-strain infection differed by a median of 274 SNPs in the UL_US region (range 129-413). Matching our observed dual-strain infection frequency to simulated data of varying prevalences and allowing only 2 samples per person, we inferred the true prevalence of dual-strain infection to be 7%. In multivariable analysis, controlling for HIV status and continent of origin, people from Africa had a higher risk for dual-strain infection (risk ratio [RR] = 9.20, 95% CI = 2.05-41.32), as did people who were HIV seropositive (RR = 4.06, 95% CI = 1.42-11.56). CONCLUSIONS HSV-2 dual-strain infection was detected in 3.7% of paired samples from individual participants, and was more frequent among people with HIV infection. Simulations suggest that the true prevalence of dual-strain infection is 7%. Our data indicate that naturally occurring immunity to HSV-2 may be protective against infection with a second strain. This study is limited by the inability to determine the timing of acquisition of the second strain.
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Affiliation(s)
- Christine Johnston
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- * E-mail:
| | - Amalia Magaret
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- Department of Laboratory Medicine, University of Washington, Seattle, Washington, United States of America
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Pavitra Roychoudhury
- Department of Laboratory Medicine, University of Washington, Seattle, Washington, United States of America
| | - Alexander L. Greninger
- Department of Laboratory Medicine, University of Washington, Seattle, Washington, United States of America
| | - Daniel Reeves
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Joshua Schiffer
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Keith R. Jerome
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- Department of Laboratory Medicine, University of Washington, Seattle, Washington, United States of America
| | - Cassandra Sather
- Genomics and Bioinformatics Resource, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Kurt Diem
- Department of Laboratory Medicine, University of Washington, Seattle, Washington, United States of America
| | - Jairam R. Lingappa
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Department of Global Health, University of Washington, Seattle, Washington, United States of America
- Department of Pediatrics, University of Washington, Seattle, Washington, United States of America
| | - Connie Celum
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Department of Global Health, University of Washington, Seattle, Washington, United States of America
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - David M. Koelle
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- Department of Laboratory Medicine, University of Washington, Seattle, Washington, United States of America
- Department of Global Health, University of Washington, Seattle, Washington, United States of America
- Benaroya Research Institute, Seattle, Washington, United States of America
| | - Anna Wald
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- Department of Laboratory Medicine, University of Washington, Seattle, Washington, United States of America
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
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17
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Gao Y, Tian W, Han X, Gao F. Immunological and virological characteristics of human immunodeficiency virus type 1 superinfection: implications in vaccine design. Front Med 2017; 11:480-489. [PMID: 29170914 DOI: 10.1007/s11684-017-0594-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Accepted: 09/30/2017] [Indexed: 02/04/2023]
Abstract
Superinfection is frequently detected among individuals infected by human immunodeficiency virus type I (HIV-1). Superinfection occurs at similar frequencies at acute and chronic infection stages but less frequently than primary infection. This observation indicates that the immune responses elicited by natural HIV-1 infection may play a role in curb of superinfection; however, these responses are not sufficiently strong to completely prevent superinfection. Thus, a successful HIV-1 vaccine likely needs to induce more potent and broader immune responses than those elicited by primary infection. On the other hand, potent and broad neutralization responses are more often detected after superinfection than during monoinfection. This suggests that broadly neutralizing antibodies are more likely induced by sequential immunization of multiple different immunogens than with only one form of envelope glycoprotein immunogens. Understanding why the protection from superinfection by immunity induced by primary infection is insufficient and if superinfection can lead to cross-reactive immune responses will be highly informative for HIV-1 vaccine design.
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Affiliation(s)
- Yang Gao
- Key Laboratory of AIDS Immunology of National Health and Family Planning Commission, Department of Laboratory Medicine, The First Affiliated Hospital, China Medical University, Shenyang, 110001, China
| | - Wen Tian
- Key Laboratory of AIDS Immunology of National Health and Family Planning Commission, Department of Laboratory Medicine, The First Affiliated Hospital, China Medical University, Shenyang, 110001, China
| | - Xiaoxu Han
- Key Laboratory of AIDS Immunology of National Health and Family Planning Commission, Department of Laboratory Medicine, The First Affiliated Hospital, China Medical University, Shenyang, 110001, China.
| | - Feng Gao
- National Engineering Laboratory for AIDS Vaccine, School of Life Sciences, Jilin University, Changchun, 130012, China. .,Department of Medicine, Duke University Medical Center, Durham, NC, 27710, USA.
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18
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Dual Infection Contributes to Rapid Disease Progression in Men Who Have Sex With Men in China. J Acquir Immune Defic Syndr 2017; 75:480-487. [PMID: 28490044 PMCID: PMC5483982 DOI: 10.1097/qai.0000000000001420] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Supplemental Digital Content is Available in the Text. Background: Considerable numbers of HIV-1–infected men who have sex with men (MSM) show a relatively rapid disease progression in China; however, the cause remains elusive. HIV-1 dual infection was reported to occur commonly among the MSM population, and its contribution to clinical prognosis remains controversial. We investigated the occurrence and impact on disease progression of dual infection in a prospective MSM cohort in China. Methods: Sixty-four HIV-1 early-infected participants were longitudinally followed up for 2 years. Deep sequencing was used as dual-infection screening. CD4+ T-cell counts and HIV-1 viral load were compared between coinfection and single-infection participants and pre- versus post-superinfection. Results: Eight coinfected participants and 10 superinfected participants were identified, including 9 participants with intersubtype and 9 with intrasubtype dual infections. The prevalence of coinfection was 13.1%, with a superinfection incidence of 15.6%. Coinfection participants showed lower CD4+ T-cell counts at 120 days after infection (P = 0.042) and a higher viral set point tendency (P = 0.053) as compared with single-infection participants. Kaplan–Meier analysis showed that the time for the viral load to increase to above 4 log10 copies per milliliter was shorter in coinfection participants than in single-infection participants (P < 0.001). After superinfection, the median CD4+ T-cell count decreased from 635 to 481 cells/μL (P = 0.027). Conclusions: The occurrence of dual infection among Chinese MSM is relatively high, and HIV-1 dual infection might contribute to rapid disease progression seen in the MSM population.
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19
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Prodger JL, Lai J, Reynolds SJ, Keruly JC, Moore RD, Kasule J, Kityamuweesi T, Buule P, Serwadda D, Nason M, Capoferri AA, Porcella SF, Siliciano RF, Redd AD, Siliciano JD, Quinn TC. Reduced Frequency of Cells Latently Infected With Replication-Competent Human Immunodeficiency Virus-1 in Virally Suppressed Individuals Living in Rakai, Uganda. Clin Infect Dis 2017; 65:1308-1315. [PMID: 28535179 PMCID: PMC5850010 DOI: 10.1093/cid/cix478] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Accepted: 05/19/2017] [Indexed: 01/17/2023] Open
Abstract
Background Human immunodeficiency virus type 1 (HIV-1) persists in latently infected resting CD4+ T cells (rCD4 cells), posing a major barrier to curing HIV-1 infection. Previous studies have quantified this pool of latently infected cells in Americans; however, no study has quantified this reservoir in sub-Saharan Africans, who make up the largest population of HIV-1-infected individuals globally. Methods Peripheral blood was collected from 70 virally suppressed HIV-1-infected individuals from Rakai District, Uganda, who had initiated antiretroviral therapy (ART) during chronic infection. The quantitative viral outgrowth assay was used to determine frequency of latently infected rCD4 cells containing replication-competent virus. Multivariate regression was used to identify correlates of reservoir size and to compare reservoir size between this Ugandan cohort and a previously studied cohort of individuals from Baltimore, Maryland. Results The median frequency of latently infected rCD4 cells in this Ugandan cohort was 0.36 infectious units per million cells (IUPM; 95% confidence interval, 0.26-0.55 IUPM), 3-fold lower than the frequency observed in the Baltimore cohort (1.08 IUPM; .72-1.49 IUPM; P < .001). Reservoir size in Ugandans was correlated positively with set-point viral load and negatively with duration of viral suppression. Conclusions Virally suppressed Ugandans had a 3-fold lower frequency of rCD4 cells latently infected with replication-competent HIV-1, compared with previous observations in a cohort of American patients, also treated with ART during chronic infection. The biological mechanism driving the observed smaller reservoir in Ugandans is of interest and may be of significance to HIV-1 eradication efforts.
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Affiliation(s)
- Jessica L Prodger
- Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, and
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health and
| | - Jun Lai
- Division of Infectious Diseases, Johns Hopkins University School of Medicine,Baltimore, Maryland
| | - Steven J Reynolds
- Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, and
- Division of Infectious Diseases, Johns Hopkins University School of Medicine,Baltimore, Maryland
- Rakai Health Sciences Program, Kalisizo,Uganda
| | - Jeanne C Keruly
- Division of Infectious Diseases, Johns Hopkins University School of Medicine,Baltimore, Maryland
| | - Richard D Moore
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | | | | | - Paul Buule
- Rakai Health Sciences Program, Kalisizo,Uganda
| | - David Serwadda
- Rakai Health Sciences Program, Kalisizo,Uganda
- Makerere University, Kampala, Uganda
| | - Martha Nason
- Biostatistics Research Branch, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
| | - Adam A Capoferri
- Division of Infectious Diseases, Johns Hopkins University School of Medicine,Baltimore, Maryland
| | - Stephen F Porcella
- Genomics Unit, Research Technologies Branch, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, Montana; and
| | - Robert F Siliciano
- Division of Infectious Diseases, Johns Hopkins University School of Medicine,Baltimore, Maryland
- Howard Hughes Medical Institute, Baltimore, Maryland
| | - Andrew D Redd
- Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, and
- Division of Infectious Diseases, Johns Hopkins University School of Medicine,Baltimore, Maryland
| | - Janet D Siliciano
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Thomas C Quinn
- Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, and
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health and
- Division of Infectious Diseases, Johns Hopkins University School of Medicine,Baltimore, Maryland
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20
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Multimethod Longitudinal HIV Drug Resistance Analysis in Antiretroviral-Therapy-Naive Patients. J Clin Microbiol 2017; 55:2785-2800. [PMID: 28659324 DOI: 10.1128/jcm.00634-17] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Accepted: 06/27/2017] [Indexed: 11/20/2022] Open
Abstract
The global intensification of antiretroviral therapy (ART) can lead to increased rates of HIV drug resistance (HIVDR) mutations in treated and also in ART-naive patients. ART-naive HIV-1-infected patients from Cameroon were subjected to a multimethod HIVDR analysis using amplification-refractory mutation system (ARMS)-PCR, Sanger sequencing, and longitudinal next-generation sequencing (NGS) to determine their profiles for the mutations K103N, Y181C, K65R, M184V, and T215F/Y. We processed 66 ART-naive HIV-1-positive patients with highly diverse subtypes that underlined the predominance of CRF02_AG and the increasing rate of F2 and other recombinant forms in Cameroon. We compared three resistance testing methods for 5 major mutation sites. Using Sanger sequencing, the overall prevalence of HIVDR mutations was 7.6% (5/66) and included all studied mutations except K65R. Comparing ARMS-PCR with Sanger sequencing as a reference, we obtained a sensitivity of 100% (5/5) and a specificity of 95% (58/61), caused by three false-positive calls with ARMS-PCR. For 32/66 samples, we obtained NGS data and we observed two additional mismatches made up of minority variants (7% and 18%) that might not be clinically relevant. Longitudinal NGS analyses revealed changes in HIVDR mutations in all five positive subjects that could not be attributed to treatment. In one of these cases, superinfection led to the temporary masking of a resistant virus. HIVDR mutations can be sensitively detected by ARMS-PCR and sequencing methods with comparable performances. Longitudinal changes in HIVDR mutations have to be considered even in the absence of treatment.
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21
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Contrasting antibody responses to intrasubtype superinfection with CRF02_AG. PLoS One 2017; 12:e0173705. [PMID: 28288209 PMCID: PMC5348025 DOI: 10.1371/journal.pone.0173705] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2017] [Accepted: 02/25/2017] [Indexed: 11/22/2022] Open
Abstract
HIV superinfection describes the sequential infection of an individual with two or more unrelated HIV strains. Intersubtype superinfection has been shown to cause a broader and more potent heterologous neutralizing antibody response when compared to singly infected controls, yet the effects of intrasubtype superinfection remain controversial. Longitudinal samples were analyzed phylogenetically for pol and env regions using Next-Generation Sequencing and envelope cloning. The impact of CRF02_AG intrasubtype superinfection was assessed for heterologous neutralization and antibody binding responses. We compared two cases of CRF02_AG intrasubtype superinfection that revealed complete replacement of the initial virus by superinfecting CRF02_AG variants with signs of recombination. NYU6564, who became superinfected at an early time point, exhibited greater changes in antibody binding profiles and generated a more potent neutralizing antibody response post-superinfection compared to NYU6501. In contrast, superinfection occurred at a later time point in NYU6501 with strains harboring significantly longer V1V2 regions with no observable changes in neutralization patterns. Here we show that CRF02_AG intrasubtype superinfection can induce a cross-subtype neutralizing antibody response, and our data suggest timing and/or superinfecting viral envelope characteristics as contributing factors. These results highlight differential outcomes in intrasubtype superinfection and provide the first insight into cases with CRF02_AG, the fourth most prevalent HIV-1 strain worldwide.
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22
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Rose R, Lamers SL, Dollar JJ, Grabowski MK, Hodcroft EB, Ragonnet-Cronin M, Wertheim JO, Redd AD, German D, Laeyendecker O. Identifying Transmission Clusters with Cluster Picker and HIV-TRACE. AIDS Res Hum Retroviruses 2017; 33:211-218. [PMID: 27824249 DOI: 10.1089/aid.2016.0205] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
We compared the behavior of two approaches (Cluster Picker and HIV-TRACE) at varying genetic distances to identify transmission clusters. We used three HIV gp41 sequence datasets originating from the Rakai Community Cohort Study: (1) next-generation sequence (NGS) data from nine linked couples; (2) NGS data from longitudinal sampling of 14 individuals; and (3) Sanger consensus sequences from a cross-sectional dataset (n = 1,022) containing 91 epidemiologically linked heterosexual couples. We calculated the optimal genetic distance threshold to separate linked versus unlinked NGS datasets using a receiver operating curve analysis. We evaluated the number, size, and composition of clusters detected by Cluster Picker and HIV-TRACE at six genetic distance thresholds (1%-5.3%) on all three datasets. We further tested the effect of using all NGS, versus only a single variant for each patient/time point, for datasets (1) and (2). The optimal gp41 genetic distance threshold to distinguish linked and unlinked couples and individuals was 5.3% and 4%, respectively. HIV-TRACE tended to detect larger and fewer clusters, whereas Cluster Picker detected more clusters containing only two sequences. For NGS datasets (1) and (2), HIV-TRACE and Cluster Picker detected all linked pairs at 3% and 4% genetic distances, respectively. However, at 5.3% genetic distance, 20% of couples in dataset (3) did not cluster using either program, and for >1/3 of couples cluster assignment were discordant. We suggest caution in choosing thresholds for clustering analyses in a generalized epidemic.
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Affiliation(s)
| | | | | | - Mary K. Grabowski
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Emma B. Hodcroft
- Institute for Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom
| | - Manon Ragonnet-Cronin
- Institute for Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom
| | - Joel O. Wertheim
- Department of Medicine, University of California, San Diego, California
| | - Andrew D. Redd
- Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
- School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Danielle German
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Oliver Laeyendecker
- Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
- School of Medicine, Johns Hopkins University, Baltimore, Maryland
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23
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Luk KC, Berg MG, Naccache SN, Kabre B, Federman S, Mbanya D, Kaptué L, Chiu CY, Brennan CA, Hackett J. Utility of Metagenomic Next-Generation Sequencing for Characterization of HIV and Human Pegivirus Diversity. PLoS One 2015; 10:e0141723. [PMID: 26599538 PMCID: PMC4658132 DOI: 10.1371/journal.pone.0141723] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Accepted: 10/12/2015] [Indexed: 02/06/2023] Open
Abstract
Given the dynamic changes in HIV-1 complexity and diversity, next-generation sequencing (NGS) has the potential to revolutionize strategies for effective HIV global surveillance. In this study, we explore the utility of metagenomic NGS to characterize divergent strains of HIV-1 and to simultaneously screen for other co-infecting viruses. Thirty-five HIV-1-infected Cameroonian blood donor specimens with viral loads of >4.4 log10 copies/ml were selected to include a diverse representation of group M strains. Random-primed NGS libraries, prepared from plasma specimens, resulted in greater than 90% genome coverage for 88% of specimens. Correct subtype designations based on NGS were concordant with sub-region PCR data in 31 of 35 (89%) cases. Complete genomes were assembled for 25 strains, including circulating recombinant forms with relatively limited data available (7 CRF11_cpx, 2 CRF13_cpx, 1 CRF18_cpx, and 1 CRF37_cpx), as well as 9 unique recombinant forms. HPgV (formerly designated GBV-C) co-infection was detected in 9 of 35 (25%) specimens, of which eight specimens yielded complete genomes. The recovered HPgV genomes formed a diverse cluster with genotype 1 sequences previously reported from Ghana, Uganda, and Japan. The extensive genome coverage obtained by NGS improved accuracy and confidence in phylogenetic classification of the HIV-1 strains present in the study population relative to conventional sub-region PCR. In addition, these data demonstrate the potential for metagenomic analysis to be used for routine characterization of HIV-1 and identification of other viral co-infections.
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Affiliation(s)
- Ka-Cheung Luk
- Abbott Diagnostics, Infectious Disease Research, Abbott Park, Illinois, United States of America
| | - Michael G Berg
- Abbott Diagnostics, Infectious Disease Research, Abbott Park, Illinois, United States of America
| | - Samia N Naccache
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, United States of America.,UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, California, United States of America
| | - Beniwende Kabre
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, United States of America.,UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, California, United States of America
| | - Scot Federman
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, United States of America.,UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, California, United States of America
| | | | | | - Charles Y Chiu
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, United States of America.,UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, California, United States of America.,Department of Medicine, Division of Infectious Diseases, University of California San Francisco, San Francisco, California, United States of America
| | - Catherine A Brennan
- Abbott Diagnostics, Infectious Disease Research, Abbott Park, Illinois, United States of America
| | - John Hackett
- Abbott Diagnostics, Infectious Disease Research, Abbott Park, Illinois, United States of America
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Redd AD, Wendel SK, Longosz AF, Fogel JM, Dadabhai S, Kumwenda N, Sun J, Walker MP, Bruno D, Martens C, Eshleman SH, Porcella SF, Quinn TC, Taha TE. Evaluation of postpartum HIV superinfection and mother-to-child transmission. AIDS 2015; 29:1567-73. [PMID: 26244396 PMCID: PMC4609898 DOI: 10.1097/qad.0000000000000740] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE This study examined HIV superinfection in HIV-infected women postpartum, and its association with mother-to-child transmission (MTCT). DESIGN Plasma samples were obtained from HIV-infected women who transmitted HIV to their infants after 6 weeks of age (transmitters, n = 91) and HIV-infected women who did not transmit HIV to their infants (nontransmitters, n = 91). These women were originally enrolled in a randomized trial for prevention of MTCT of HIV in Malawi (Post-Exposure Prophylaxis of Infants trial in Malawi). METHODS Two HIV genomic regions (p24 and gp41) were analyzed by next-generation sequencing for HIV superinfection. HIV superinfection was established if the follow-up sample contained a new, phylogenetically distinct viral population. HIV superinfection and transmission risk were examined by multiple logistic regression, adjusted for Post-Exposure Prophylaxis of Infants study arm, baseline viral load, baseline CD4 cell count, time to resumption of sex, and breastfeeding duration. RESULTS Transmitters had lower baseline CD4 cell counts (P = 0.001) and higher viral loads (P < 0.0001) compared with nontransmitters. There were five cases of superinfection among transmitters (rate of superinfection = 4.7/100 person-years) compared with five cases among the nontransmitters (rate of superinfection = 4.4/100 person-years; P = 0.78). HIV superinfection was not associated with increased risk of postnatal MTCT of HIV after controlling for maternal age, baseline viral load, and CD4 cell count (adjusted odds ratio = 2.32, P = 0.30). Longer breastfeeding duration was independently associated with a lower risk of HIV superinfection after controlling for study arm and baseline viral load (P = 0.05). CONCLUSION There was a significant level of HIV superinfection in women postpartum, but this was not associated with an increased risk of MTCT via breastfeeding.
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Affiliation(s)
- Andrew D. Redd
- Laboratory of Immunoregulation, NIAID, NIH
- Johns Hopkins School of Medicine, Johns Hopkins University
| | | | | | | | - Sufia Dadabhai
- Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University
| | - Newton Kumwenda
- Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University
| | - Jin Sun
- Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University
| | - Michael P. Walker
- Genomics Unit, Research Technologies Branch, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH
| | - Daniel Bruno
- Genomics Unit, Research Technologies Branch, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH
| | - Craig Martens
- Genomics Unit, Research Technologies Branch, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH
| | | | - Stephen F. Porcella
- Genomics Unit, Research Technologies Branch, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH
| | - Thomas C. Quinn
- Laboratory of Immunoregulation, NIAID, NIH
- Johns Hopkins School of Medicine, Johns Hopkins University
| | - Taha E. Taha
- Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University
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Pérez-Losada M, Arenas M, Galán JC, Palero F, González-Candelas F. Recombination in viruses: mechanisms, methods of study, and evolutionary consequences. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2015; 30:296-307. [PMID: 25541518 PMCID: PMC7106159 DOI: 10.1016/j.meegid.2014.12.022] [Citation(s) in RCA: 198] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2014] [Revised: 12/15/2014] [Accepted: 12/17/2014] [Indexed: 02/08/2023]
Abstract
Recombination is a pervasive process generating diversity in most viruses. It joins variants that arise independently within the same molecule, creating new opportunities for viruses to overcome selective pressures and to adapt to new environments and hosts. Consequently, the analysis of viral recombination attracts the interest of clinicians, epidemiologists, molecular biologists and evolutionary biologists. In this review we present an overview of three major areas related to viral recombination: (i) the molecular mechanisms that underlie recombination in model viruses, including DNA-viruses (Herpesvirus) and RNA-viruses (Human Influenza Virus and Human Immunodeficiency Virus), (ii) the analytical procedures to detect recombination in viral sequences and to determine the recombination breakpoints, along with the conceptual and methodological tools currently used and a brief overview of the impact of new sequencing technologies on the detection of recombination, and (iii) the major areas in the evolutionary analysis of viral populations on which recombination has an impact. These include the evaluation of selective pressures acting on viral populations, the application of evolutionary reconstructions in the characterization of centralized genes for vaccine design, and the evaluation of linkage disequilibrium and population structure.
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Affiliation(s)
- Marcos Pérez-Losada
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, Portugal; Computational Biology Institute, George Washington University, Ashburn, VA 20147, USA
| | - Miguel Arenas
- Centre for Molecular Biology "Severo Ochoa", Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - Juan Carlos Galán
- Servicio de Microbiología, Hospital Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain; CIBER en Epidemiología y Salud Pública, Spain
| | - Ferran Palero
- CIBER en Epidemiología y Salud Pública, Spain; Unidad Mixta Infección y Salud Pública, FISABIO-Universitat de València, Valencia, Spain
| | - Fernando González-Candelas
- CIBER en Epidemiología y Salud Pública, Spain; Unidad Mixta Infección y Salud Pública, FISABIO-Universitat de València, Valencia, Spain.
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HIV competition dynamics over sexual networks: first comer advantage conserves founder effects. PLoS Comput Biol 2015; 11:e1004093. [PMID: 25654450 PMCID: PMC4318579 DOI: 10.1371/journal.pcbi.1004093] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2014] [Accepted: 12/16/2014] [Indexed: 11/24/2022] Open
Abstract
Outside Africa, the global phylogeography of HIV is characterized by compartmentalized local epidemics that are typically dominated by a single subtype, which indicates strong founder effects. We hypothesized that the competition of viral strains at the epidemic level may involve an advantage of the resident strain that was the first to colonize a population. Such an effect would slow down the invasion of new strains, and thus also the diversification of the epidemic. We developed a stochastic modelling framework to simulate HIV epidemics over dynamic contact networks. We simulated epidemics in which the second strain was introduced into a population where the first strain had established a steady-state epidemic, and assessed whether, and on what time scale, the second strain was able to spread in the population. Simulations were parameterized based on empirical data; we tested scenarios with varying levels of overall prevalence. The spread of the second strain occurred on a much slower time scale compared with the initial expansion of the first strain. With strains of equal transmission efficiency, the second strain was unable to invade on a time scale relevant for the history of the HIV pandemic. To become dominant over a time scale of decades, the second strain needed considerable (>25%) advantage in transmission efficiency over the resident strain. The inhibition effect was weaker if the second strain was introduced while the first strain was still in its growth phase. We also tested how possible mechanisms of interference (inhibition of superinfection, depletion of highly connected hubs in the network, one-time acute peak of infectiousness) contribute to the inhibition effect. Our simulations confirmed a strong first comer advantage in the competition dynamics of HIV at the population level, which may explain the global phylogeography of the virus and may influence the future evolution of the pandemic. The African epicentre of the HIV pandemic is home to a vast array of divergent viruses; however, local epidemics in other parts of the world are typically dominated by a single variant (subtype) of the virus, with different subtypes found in the different regions. This pattern indicates that local epidemics outside Africa have been started by the introduction of single “founder” viruses in the susceptible populations. However, how these patterns persisted over several decades in the face of international migration requires further explanation. By analyzing simulated epidemics, we demonstrated that an epidemic established by the first successful founder strain can inhibit the introduction and slow down the subsequent spread of further virus strains by several mechanisms of interference. Our results have implications for the global evolution of the HIV pandemic: the fast expansion of subtypes benefited from a “first comer advantage,” and founder viruses may have been selected by random sampling, rather than due to superior transmissibility/fitness; the fast expansion of these (possibly) suboptimal virus strains may have considerably delayed the spread of more transmissible HIV variants; however, the future evolution of the pandemic is likely to be characterized by a slow expansion of viral strains with increased transmission potential.
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Dennis AM, Herbeck JT, Brown AL, Kellam P, de Oliveira T, Pillay D, Fraser C, Cohen MS. Phylogenetic studies of transmission dynamics in generalized HIV epidemics: an essential tool where the burden is greatest? J Acquir Immune Defic Syndr 2014; 67:181-95. [PMID: 24977473 PMCID: PMC4304655 DOI: 10.1097/qai.0000000000000271] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Efficient and effective HIV prevention measures for generalized epidemics in sub-Saharan Africa have not yet been validated at the population level. Design and impact evaluation of such measures requires fine-scale understanding of local HIV transmission dynamics. The novel tools of HIV phylogenetics and molecular epidemiology may elucidate these transmission dynamics. Such methods have been incorporated into studies of concentrated HIV epidemics to identify proximate and determinant traits associated with ongoing transmission. However, applying similar phylogenetic analyses to generalized epidemics, including the design and evaluation of prevention trials, presents additional challenges. Here we review the scope of these methods and present examples of their use in concentrated epidemics in the context of prevention. Next, we describe the current uses for phylogenetics in generalized epidemics and discuss their promise for elucidating transmission patterns and informing prevention trials. Finally, we review logistic and technical challenges inherent to large-scale molecular epidemiological studies of generalized epidemics and suggest potential solutions.
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Affiliation(s)
- Ann M. Dennis
- Division of Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | - Andrew Leigh Brown
- Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK
| | - Paul Kellam
- Wellcome Trust Sanger Institute, Cambridge, UK
- Division of Infection and Immunity, University College London, London, UK
| | - Tulio de Oliveira
- Wellcome Trust-Africa Centre for Health and Population Studies, University of Kwazula-Natal, ZA
| | - Deenan Pillay
- Division of Infection and Immunity, University College London, London, UK
| | - Christophe Fraser
- Department of Infectious Disease Epidemiology, Imperial College London, London, UK
| | - Myron S. Cohen
- Division of Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC
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28
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Abstract
PURPOSE OF REVIEW Phylogenetics is frequently used for studies of population-based HIV transmission. The purpose of this review is to highlight the current utilities and limitations of phylogenetics in HIV epidemiological research from sample collection through to data analysis. RECENT FINDINGS Studies of HIV phylogenies can provide critical information about HIV epidemics that are otherwise difficult to obtain through traditional study design such as transmission of drug-resistant virus, mixing between demographic groups, and rapidity of viral spread within populations. However, recent results from empirical and theoretical studies of HIV phylogenies challenge some of the key assumptions and interpretations from phylogenetic studies. Recent findings include lack of transmission bottlenecks in MSM and injection drug use epidemics, evidence for preferential transmission of HIV virus in heterosexual epidemics, and limited evidence that tree topologies correlate directly with underlying network structures. Other challenges include a lack of a standardized definition for a phylogenetic transmission cluster and biased or sparse sampling of HIV transmission networks. SUMMARY Phylogenetics is an important tool for HIV research, and offers opportunities to understand critical aspects of the HIV epidemic. Like all epidemiological research, the methods used and interpretation of results from phylogenetic studies should be made cautiously with careful consideration.
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29
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Redd AD, Ssemwanga D, Vandepitte J, Wendel SK, Ndembi N, Bukenya J, Nakubulwa S, Grosskurth H, Parry CM, Martens C, Bruno D, Porcella SF, Quinn TC, Kaleebu P. Rates of HIV-1 superinfection and primary HIV-1 infection are similar in female sex workers in Uganda. AIDS 2014; 28:2147-2152. [PMID: 25265078 PMCID: PMC4921228 DOI: 10.1097/qad.0000000000000365] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To determine and compare the rates of HIV superinfection and primary HIV infection in high-risk female sex workers (FSWs) in Kampala, Uganda. DESIGN A retrospective analysis of individuals who participated in a clinical cohort study among high-risk FSWs in Kampala, Uganda. METHODS Plasma samples from HIV-infected FSWs in Kampala, Uganda were examined with next-generation sequencing of the p24 and gp41 HIV genomic regions for the occurrence of superinfection. Primary HIV incidence was determined from initially HIV-uninfected FSWs from the same cohort, and incidence rate ratios were compared. RESULTS The rate of superinfection in these women (7/85; 3.4/100 person-years) was not significantly different from the rate of primary infection in the same population (3.7/100 person-years; incidence rate ratio = 0.91, P = 0.42). Seven women also entered the study dual-infected (16.5% either dual or superinfected). The women with any presence of dual infection were more likely to report sex work as their only source of income (P = 0.05), and trended to be older and more likely to be widowed (P = 0.07). CONCLUSIONS In this cohort of FSWs, HIV superinfection occurred at a high rate and was similar to that of primary HIV infection. These results differ from a similar study of high-risk female bar workers in Kenya that found the rate of superinfection to be significantly lower than the rate of primary HIV infection.
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Affiliation(s)
- Andrew D Redd
- Laboratory of Immunoregulation, Division of Intramural Research, NIAID, NIH, Bethesda, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Deogratius Ssemwanga
- Medical Research Council/Uganda Virus Research Institute Research Unit on AIDS, Entebbe, Uganda
| | - Judith Vandepitte
- Medical Research Council/Uganda Virus Research Institute Research Unit on AIDS, Entebbe, Uganda
| | - Sarah K Wendel
- Laboratory of Immunoregulation, Division of Intramural Research, NIAID, NIH, Bethesda, USA
| | - Nicaise Ndembi
- Medical Research Council/Uganda Virus Research Institute Research Unit on AIDS, Entebbe, Uganda
| | - Justine Bukenya
- Medical Research Council/Uganda Virus Research Institute Research Unit on AIDS, Entebbe, Uganda
| | - Susan Nakubulwa
- Medical Research Council/Uganda Virus Research Institute Research Unit on AIDS, Entebbe, Uganda
| | - Heiner Grosskurth
- Medical Research Council/Uganda Virus Research Institute Research Unit on AIDS, Entebbe, Uganda
- London School of Hygiene and Tropical Medicine, London, UK
| | - Chris M Parry
- Medical Research Council/Uganda Virus Research Institute Research Unit on AIDS, Entebbe, Uganda
| | - Craig Martens
- Genomics Unit, Research Technologies Branch, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH, Hamilton MT, USA
| | - Daniel Bruno
- Genomics Unit, Research Technologies Branch, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH, Hamilton MT, USA
| | - Stephen F Porcella
- Genomics Unit, Research Technologies Branch, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH, Hamilton MT, USA
| | - Thomas C Quinn
- Laboratory of Immunoregulation, Division of Intramural Research, NIAID, NIH, Bethesda, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Pontiano Kaleebu
- Medical Research Council/Uganda Virus Research Institute Research Unit on AIDS, Entebbe, Uganda
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30
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Sacktor N, Nakasujja N, Redd AD, Manucci J, Laeyendecker O, Wendel SK, Porcella SF, Martens C, Bruno D, Skolasky RL, Okonkwo OC, Robertson K, Musisi S, Katabira E, Quinn TC. HIV subtype is not associated with dementia among individuals with moderate and advanced immunosuppression in Kampala, Uganda. Metab Brain Dis 2014; 29:261-8. [PMID: 24515303 PMCID: PMC4024330 DOI: 10.1007/s11011-014-9498-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2013] [Accepted: 01/28/2014] [Indexed: 10/25/2022]
Abstract
HIV-associated neurocognitive disorders (HAND) are a common neurological manifestation of HIV infection. A previous study suggested that HIV dementia may be more common among patients with subtype D virus than among those with subtype A virus among HIV+ individuals with advanced immunosuppression. We conducted a study to evaluate the frequency of HIV dementia, and the association of HIV dementia with HIV subtype and compartmentalization among HIV+ individuals with moderate and advanced immunosuppression (CD4 lymphocyte count >150 cells/μL and <250 cells/μL). The study enrolled 117 antiretroviral naïve HIV+ individuals in Kampala, Uganda. HIV+ individuals received neurological, neuropsychological testing, and functional assessments, and gag and gp41 regions were subtyped. Subjects were considered infected with a specific subtype if both regions analyzed were from the same subtype. 41% of the HIV+ individuals had HIV dementia (mean CD4 lymphocyte count = 233 cells/μL). 67 individuals had subtype A, 25 individuals had subtype D, 24 individuals were classified as A/D recombinants, and one individual had subtype C. There was no difference in the frequency of HIV dementia when stratified by HIV subtype A and D and no association with compartmentalization between the cerebrospinal fluid and peripheral blood. These results suggest that HIV dementia is common in HIV+ individuals in Uganda. There was no association between HIV subtype and dementia among HIV+ individuals with moderate and advanced immunosuppression. Future studies should be performed to confirm these results.
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Affiliation(s)
- Ned Sacktor
- Department of Neurology, Johns Hopkins Bayview Medical Center, 301 Building, Suite 2100, 4940 Eastern Ave., Baltimore, MD, 21224, USA,
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Kijak GH, Sanders-Buell E, Harbolick EA, Pham P, Chenine AL, Eller LA, Rono K, Robb ML, Michael NL, Kim JH, Tovanabutra S. Targeted deep sequencing of HIV-1 using the IonTorrentPGM platform. J Virol Methods 2014; 205:7-16. [PMID: 24797459 DOI: 10.1016/j.jviromet.2014.04.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2014] [Revised: 04/11/2014] [Accepted: 04/25/2014] [Indexed: 10/25/2022]
Abstract
The characterization of mixed HIV-1 populations is a key question in clinical and basic research settings. This can be achieved through targeted deep sequencing (TDS), where next-generation sequencing is used to examine in depth a sub-genomic region of interest. This study explores the suitability of IonTorrent PGM(LifeTechnologies) for the TDS-based analysis of HIV-1 evolution. Using laboratory reagents and primary specimens sampled at pre-peak viremia the error rates from misincorporation and in vitro recombination were <0.5%. The sequencing error rate was 2- to 3-fold higher in/around homopolymeric tracts, and could be discerned from true polymorphism using bidirectional sequencing. The limit of detection of complex variants was further lowered by using haplotyping. The application of this system was illustrated on primary samples from an individual infected with HIV-1 followed from pre-peak viremia through six months post-acquisition. TDS provided an augmented view of the extent of genetic diversity, the covariation among polymorphisms, the evolutionary pathways, and the boundaries of the mutational space explored by the viral swarm. Based on its performance, the system can be applied for the characterization of minor viral variants in support of studies of viral evolution, which can inform the rational design of the next generation of vaccines and therapeutics.
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Affiliation(s)
- Gustavo H Kijak
- U.S. Military HIV Research Program, Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.
| | - Eric Sanders-Buell
- U.S. Military HIV Research Program, Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Elizabeth A Harbolick
- U.S. Military HIV Research Program, Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Phuc Pham
- U.S. Military HIV Research Program, Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Agnes L Chenine
- U.S. Military HIV Research Program, Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Leigh Anne Eller
- U.S. Military HIV Research Program, Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Kathleen Rono
- Kenya Medical Research Institute/Walter Reed Project, Kericho, Kenya
| | - Merlin L Robb
- U.S. Military HIV Research Program, Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Nelson L Michael
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Jerome H Kim
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Sodsai Tovanabutra
- U.S. Military HIV Research Program, Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
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Prevalence of HIV-1 dual infection in long-term nonprogressor-elite controllers. J Acquir Immune Defic Syndr 2014; 64:225-31. [PMID: 23714744 DOI: 10.1097/qai.0b013e31829bdc85] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
INTRODUCTION Human immunodeficiency virus type 1 (HIV-1) dual infection (DI) in long-term nonprogressor-elite controller patients (LTNP-EC) has been described only in sporadic cases and then, consequences in disease progression are not clearly established. To fill-up this limited knowledge, we analyzed, for the first time, the prevalence, host genetic polymorphisms, and clinical consequences of HIV-1 DI in a group of LTNP-EC. METHODS For DI detection, nucleotide sequences in env gene from viruses from 20 LTNP-EC were analyzed by maximum likelihood. Epidemiological and clinical parameters and host factors of patients were also studied. RESULTS DI was detected in 4 (20%) of the 20 LTNP-EC, of which 3 maintained the elite controller status. CD4⁺ T-cell counts were not different between single and DI patients although higher CD8⁺ T-cell counts were observed in DI patients, and, consequently, the CD4⁺/CD8⁺ ratios were lower in LTNP-EC DI patients. CONCLUSIONS Prevalence of HIV-1 DIs in LTNP-EC is similar to other groups of HIV-1 patients; in addition, DI was not associated with loss of disease control in the patients. These DI LTNP-EC patients showed, in comparison with single infected patients, higher numbers of CD8⁺ T cells and lower CD4⁺/CD8⁺ ratios.
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Limited HIV-1 superinfection in seroconverters from the CAPRISA 004 Microbicide Trial. J Clin Microbiol 2013; 52:844-8. [PMID: 24371237 DOI: 10.1128/jcm.03143-13] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
HIV-1 superinfection (SI) occurs when an infected individual acquires a distinct new viral strain. The rate of superinfection may be reflective of the underlying HIV risk in a population. The Centre for the AIDS Programme of Research in South Africa (CAPRISA) 004 clinical trial demonstrated that women who used a tenofovir-containing microbicide gel had lower rates of HIV infection than women using a placebo gel. Women who contracted HIV-1 during the trial were screened for the occurrence of superinfection by next-generation sequencing of the viral gag and env genes. There were two cases (one in each trial arm) of subtype C superinfection identified from the 76 women with primary infection screened at two time points (rate of superinfection, 1.5/100 person-years). Both women experienced a >0.5-log increase in viral load during the window when superinfection occurred. The rate of superinfection was significantly lower than the overall primary HIV incidence in the microbicide trial (incidence rate ratio [IRR], 0.20; P=0.003). The women who seroconverted during the trial reported a significant increase in sexual contact with their stable partner 4 months after seroconversion (P<0.001), which may have lowered the risk of superinfection in this population. The lower frequency of SI compared to the primary incidence is in contrast to a report from a general heterosexual African population but agrees with a study of high-risk women in Kenya. A better understanding of the rate of HIV superinfection could have important implications for ongoing HIV vaccine research.
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Wagner GA, Pacold ME, Kosakovsky Pond SL, Caballero G, Chaillon A, Rudolph AE, Morris SR, Little SJ, Richman DD, Smith DM. Incidence and prevalence of intrasubtype HIV-1 dual infection in at-risk men in the United States. J Infect Dis 2013; 209:1032-8. [PMID: 24273040 DOI: 10.1093/infdis/jit633] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Human immunodeficiency virus type 1 (HIV-1) dual infection (DI) has been associated with decreased CD4 T-cell counts and increased viral loads; however, the frequency of intrasubtype DI is poorly understood. We used ultradeep sequencing (UDS) to estimate the frequency of DI in a primary infection cohort of predominantly men who have sex with men (MSM). METHODS HIV-1 genomes from longitudinal blood samples of recently infected, therapy-naive participants were interrogated with UDS. DI was confirmed when maximum sequence divergence was excessive and supported by phylogenetic analysis. Coinfection was defined as DI at baseline; superinfection was monoinfection at baseline and DI at a later time point. RESULTS Of 118 participants, 7 were coinfected and 10 acquired superinfection. Superinfection incidence rate was 4.96 per 100 person-years (95% confidence interval [CI], 2.67-9.22); 6 occurred in the first year and 4 in the second. Overall cumulative prevalence of intrasubtype B DI was 14.4% (95% CI, 8.6%-22.1%). Primary HIV-1 incidence was 4.37 per 100 person-years (95% CI, 3.56-5.36). CONCLUSIONS Intrasubtype DI was frequent and comparable to primary infection rates among MSM in San Diego; however, superinfection rates declined over time. DI is likely an important component of the HIV epidemic dynamics, and development of stronger immune responses to the initial infection may protect from superinfection.
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Improved detection of rare HIV-1 variants using 454 pyrosequencing. PLoS One 2013; 8:e76502. [PMID: 24098517 PMCID: PMC3788733 DOI: 10.1371/journal.pone.0076502] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2013] [Accepted: 08/27/2013] [Indexed: 01/21/2023] Open
Abstract
454 pyrosequencing, a massively parallel sequencing (MPS) technology, is often used to study HIV genetic variation. However, the substantial mismatch error rate of the PCR required to prepare HIV-containing samples for pyrosequencing has limited the detection of rare variants within viral populations to those present above ~1%. To improve detection of rare variants, we varied PCR enzymes and conditions to identify those that combined high sensitivity with a low error rate. Substitution errors were found to vary up to 3-fold between the different enzymes tested. The sensitivity of each enzyme, which impacts the number of templates amplified for pyrosequencing, was shown to vary, although not consistently across genes and different samples. We also describe an amplicon-based method to improve the consistency of read coverage over stretches of the HIV-1 genome. Twenty-two primers were designed to amplify 11 overlapping amplicons in the HIV-1 clade B gag-pol and env gp120 coding regions to encompass 4.7 kb of the viral genome per sample at sensitivities as low as 0.01-0.2%.
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36
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Xue J, Cong Z, Xiong J, Wang W, Jiang H, Chen T, Wu F, Liu K, Su A, Ju B, Chen Z, Couto MA, Wei Q, Qin C. Repressive effect of primary virus replication on superinfection correlated with gut-derived central memory CD4(+) T cells in SHIV-infected Chinese rhesus macaques. PLoS One 2013; 8:e72295. [PMID: 24023734 PMCID: PMC3759369 DOI: 10.1371/journal.pone.0072295] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2013] [Accepted: 07/14/2013] [Indexed: 12/01/2022] Open
Abstract
A possible mechanism of susceptibility to superinfection with simian-human immunodeficiency virus (SHIV)-1157ipd3N4 was explored in twelve SHIVSF162P3-infected Chinese rhesus macaques. Based on the kinetics of viral replication for the second infecting virus following SHIV-1157ipd3N4 inoculation, the monkeys were divided into two groups: those relatively resistant to superinfection (SIR) and those relatively sensitive to superinfection (SIS). We found that superinfection-resistant macaques had high primary viremia, whereas superinfection-sensitive macaques had low primary viremia, suggesting that primary SHIVSF162P3 infection with a high viral-replication level would repress superinfection with a heterologous SHIV-1157ipd3N4. Although no correlation of protection against superinfection with virus-specific CD4+ T cell or CD8+ T cell immune responses from gut was observed prior to superinfection, superinfection susceptibility was strongly correlated with CD4+ Tcm cells from gut both prior to the second infecting virus inoculation and on day 7 after superinfection, but not with CD4+ Tem cells from gut or with CD4+ Tcm cells from peripheral blood and lymph node. These results point to the important roles of gut-derived CD4+ Tcm cells for the study of the mechanisms of protection against superinfection and the evaluation of the safety and efficacy of vaccines and therapies against acquired immune deficiency syndrome (AIDS).
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Affiliation(s)
- Jing Xue
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC), Key Laboratory of Human Disease Comparative Medicine, Beijing, China
| | - Zhe Cong
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC), Key Laboratory of Human Disease Comparative Medicine, Beijing, China
| | - Jing Xiong
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC), Key Laboratory of Human Disease Comparative Medicine, Beijing, China
| | - Wei Wang
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC), Key Laboratory of Human Disease Comparative Medicine, Beijing, China
| | - Hong Jiang
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC), Key Laboratory of Human Disease Comparative Medicine, Beijing, China
| | - Ting Chen
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC), Key Laboratory of Human Disease Comparative Medicine, Beijing, China
| | - Fangxin Wu
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC), Key Laboratory of Human Disease Comparative Medicine, Beijing, China
| | - Kejian Liu
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC), Key Laboratory of Human Disease Comparative Medicine, Beijing, China
| | - Aihua Su
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC), Key Laboratory of Human Disease Comparative Medicine, Beijing, China
| | - Bin Ju
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC), Key Laboratory of Human Disease Comparative Medicine, Beijing, China
| | - Zhiwei Chen
- AIDS Institute, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Marcelo A. Couto
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
| | - Qiang Wei
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC), Key Laboratory of Human Disease Comparative Medicine, Beijing, China
- * E-mail: (QW); (CQ)
| | - Chuan Qin
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC), Key Laboratory of Human Disease Comparative Medicine, Beijing, China
- * E-mail: (QW); (CQ)
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Ronen K, McCoy CO, Matsen FA, Boyd DF, Emery S, Odem-Davis K, Jaoko W, Mandaliya K, McClelland RS, Richardson BA, Overbaugh J. HIV-1 superinfection occurs less frequently than initial infection in a cohort of high-risk Kenyan women. PLoS Pathog 2013; 9:e1003593. [PMID: 24009513 PMCID: PMC3757054 DOI: 10.1371/journal.ppat.1003593] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2013] [Accepted: 07/19/2013] [Indexed: 11/18/2022] Open
Abstract
HIV superinfection (reinfection) has been reported in several settings, but no study has been designed and powered to rigorously compare its incidence to that of initial infection. Determining whether HIV infection reduces the risk of superinfection is critical to understanding whether an immune response to natural HIV infection is protective. This study compares the incidence of initial infection and superinfection in a prospective seroincident cohort of high-risk women in Mombasa, Kenya. A next-generation sequencing-based pipeline was developed to screen 129 women for superinfection. Longitudinal plasma samples at <6 months, >2 years and one intervening time after initial HIV infection were analyzed. Amplicons in three genome regions were sequenced and a median of 901 sequences obtained per gene per timepoint. Phylogenetic evidence of polyphyly, confirmed by pairwise distance analysis, defined superinfection. Superinfection timing was determined by sequencing virus from intervening timepoints. These data were combined with published data from 17 additional women in the same cohort, totaling 146 women screened. Twenty-one cases of superinfection were identified for an estimated incidence rate of 2.61 per 100 person-years (pys). The incidence rate of initial infection among 1910 women in the same cohort was 5.75 per 100 pys. Andersen-Gill proportional hazards models were used to compare incidences, adjusting for covariates known to influence HIV susceptibility in this cohort. Superinfection incidence was significantly lower than initial infection incidence, with a hazard ratio of 0.47 (CI 0.29-0.75, p = 0.0019). This lower incidence of superinfection was only observed >6 months after initial infection. This is the first adequately powered study to report that HIV infection reduces the risk of reinfection, raising the possibility that immune responses to natural infection are partially protective. The observation that superinfection risk changes with time implies a window of protection that coincides with the maturation of HIV-specific immunity.
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Affiliation(s)
- Keshet Ronen
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Connor O. McCoy
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Frederick A. Matsen
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - David F. Boyd
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Sandra Emery
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Katherine Odem-Davis
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Walter Jaoko
- Department of Medical Microbiology, University of Nairobi, Kenyatta National Hospital, Nairobi, Kenya
| | - Kishor Mandaliya
- Coast Provincial General Hospital, Women's Health Project, Mombasa, Kenya
| | - R. Scott McClelland
- Department of Medical Microbiology, University of Nairobi, Kenyatta National Hospital, Nairobi, Kenya
- Department of Global Health, University of Washington, Seattle, Washington, United States of America
| | - Barbra A. Richardson
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- Department of Global Health, University of Washington, Seattle, Washington, United States of America
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Julie Overbaugh
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- * E-mail:
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Nii-Trebi NI, Ibe S, Barnor JS, Ishikawa K, Brandful JAM, Ofori SB, Yamaoka S, Ampofo WK, Sugiura W. HIV-1 drug-resistance surveillance among treatment-experienced and -naïve patients after the implementation of antiretroviral therapy in Ghana. PLoS One 2013; 8:e71972. [PMID: 23977189 PMCID: PMC3747072 DOI: 10.1371/journal.pone.0071972] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2013] [Accepted: 07/07/2013] [Indexed: 12/03/2022] Open
Abstract
Background Limited HIV-1 drug-resistance surveillance has been carried out in Ghana since the implementation of antiretroviral therapy (ART). This study sought to provide data on the profile of HIV-1 drug resistance in ART-experienced and newly diagnosed individuals in Ghana. Methods Samples were collected from 101 HIV-1-infected patients (32 ART-experienced cases with virological failure and 69 newly diagnosed ART-naïve cases, including 11 children), in Koforidua, Eastern region of Ghana, from February 2009 to January 2010. The pol gene sequences were analyzed by in-house HIV-1 drug-resistance testing. Results The most prevalent HIV-1 subtype was CRF02_AG (66.3%, 67/101) followed by unique recombinant forms (25.7%, 26/101). Among 31 ART-experienced adults, 22 (71.0%) possessed at least one drug-resistance mutation, and 14 (45.2%) had two-class-resistance to nucleoside and non-nucleoside reverse-transcriptase inhibitors used in their first ART regimen. Importantly, the number of accumulated mutations clearly correlated with the duration of ART. The most prevalent mutation was lamivudine-resistance M184V (n = 12, 38.7%) followed by efavirenz/nevirapine-resistance K103N (n = 9, 29.0%), and zidovudine/stavudine-resistance T215Y/F (n = 6, 19.4%). Within the viral protease, the major nelfinavir-resistance mutation L90M was found in one case. No transmitted HIV-1 drug-resistance mutation was found in 59 ART-naïve adults, but K103N and G190S mutations were observed in one ART-naïve child. Conclusions Despite expanding accessibility to ART in Eastern Ghana, the prevalence of transmitted HIV-1 drug resistance presently appears to be low. As ART provision with limited options is scaled up nationwide in Ghana, careful monitoring of transmitted HIV-1 drug resistance is necessary.
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Affiliation(s)
- Nicholas I Nii-Trebi
- Department of Medical Laboratory Sciences, School of Allied Health Sciences, University of Ghana, Accra, Ghana
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Matsen FA, Gallagher A, McCoy CO. Minimizing the average distance to a closest leaf in a phylogenetic tree. Syst Biol 2013; 62:824-36. [PMID: 23843314 DOI: 10.1093/sysbio/syt044] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
When performing an analysis on a collection of molecular sequences, it can be convenient to reduce the number of sequences under consideration while maintaining some characteristic of a larger collection of sequences. For example, one may wish to select a subset of high-quality sequences that represent the diversity of a larger collection of sequences. One may also wish to specialize a large database of characterized "reference sequences" to a smaller subset that is as close as possible on average to a collection of "query sequences" of interest. Such a representative subset can be useful whenever one wishes to find a set of reference sequences that is appropriate to use for comparative analysis of environmentally derived sequences, such as for selecting "reference tree" sequences for phylogenetic placement of metagenomic reads. In this article, we formalize these problems in terms of the minimization of the Average Distance to the Closest Leaf (ADCL) and investigate algorithms to perform the relevant minimization. We show that the greedy algorithm is not effective, show that a variant of the Partitioning Around Medoids (PAM) heuristic gets stuck in local minima, and develop an exact dynamic programming approach. Using this exact program we note that the performance of PAM appears to be good for simulated trees, and is faster than the exact algorithm for small trees. On the other hand, the exact program gives solutions for all numbers of leaves less than or equal to the given desired number of leaves, whereas PAM only gives a solution for the prespecified number of leaves. Via application to real data, we show that the ADCL criterion chooses chimeric sequences less often than random subsets, whereas the maximization of phylogenetic diversity chooses them more often than random. These algorithms have been implemented in publicly available software.
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Affiliation(s)
- Frederick A Matsen
- Program in Computational Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 91802, USA
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Redd AD, Quinn TC, Tobian AAR. Frequency and implications of HIV superinfection. THE LANCET. INFECTIOUS DISEASES 2013; 13:622-8. [PMID: 23726798 PMCID: PMC3752600 DOI: 10.1016/s1473-3099(13)70066-5] [Citation(s) in RCA: 108] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
HIV superinfection occurs when an individual with HIV is infected with a new distinct HIV viral strain. Superinfection has been reported throughout the world, and studies have recorded incidence rates of 0-7·7% per year. Use of next-generation sequencing has improved detection of superinfection, which can be transmitted by injecting drug use and sexual intercourse. Superinfection might have incidence rates comparable to those of initial HIV infection. Clinicians should encourage safe sexual and injecting drug use practices for HIV-infected patients because superinfection has detrimental effects on clinical outcomes and could pose a concern for large-scale antiretroviral treatment plans. The occurrence of superinfection has implications for vaccine research, since it seems initial HIV infection is not fully protective against a subsequent infection. Additional collaborative research could benefit care of patients and inform future vaccine design.
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Affiliation(s)
- Andrew D Redd
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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Ultradeep pyrosequencing of hepatitis C virus hypervariable region 1 in quasispecies analysis. BIOMED RESEARCH INTERNATIONAL 2013; 2013:626083. [PMID: 23710455 PMCID: PMC3655449 DOI: 10.1155/2013/626083] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/22/2012] [Accepted: 02/12/2013] [Indexed: 12/17/2022]
Abstract
Genetic variability of hepatitis C virus (HCV) determines pathogenesis of infection, including viral persistence and resistance to treatment. The aim of the present study was to characterize HCV genetic heterogeneity within a hypervariable region 1 (HVR1) of a chronically infected patient by ultradeep 454 sequencing strategy. Three independent sequencing error correction methods were applied. First correction method (Method I) implemented cut-off for genetic variants present in less than 1%. In the second method (Method II), a condition to call a variant was bidirectional coverage of sequencing reads. Third method (Method III) used Short Read Assembly into Haplotypes (ShoRAH) program. After the application of these three different algorithms, HVR1 population consisted of 8, 40, and 186 genetic haplotypes. The most sensitive method was ShoRAH, allowing to reconstruct haplotypes constituting as little as 0.013% of the population. The most abundant genetic variant constituted only 10.5%. Seventeen haplotypes were present in a frequency above 1%, and there was wide dispersion of the population into very sparse haplotypes. Our results indicate that HCV HVR1 heterogeneity and quasispecies population structure may be reconstructed by ultradeep sequencing. However, credible analysis requires proper reconstruction methods, which would distinguish sequencing error from real variability in vivo.
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Andersson E, Shao W, Bontell I, Cham F, Cuong DD, Wondwossen A, Morris L, Hunt G, Sönnerborg A, Bertagnolio S, Maldarelli F, Jordan MR. Evaluation of sequence ambiguities of the HIV-1 pol gene as a method to identify recent HIV-1 infection in transmitted drug resistance surveys. INFECTION GENETICS AND EVOLUTION 2013; 18:125-31. [PMID: 23583545 DOI: 10.1016/j.meegid.2013.03.050] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2012] [Revised: 03/21/2013] [Accepted: 03/28/2013] [Indexed: 10/26/2022]
Abstract
Identification of recent HIV infection within populations is a public health priority for accurate estimation of HIV incidence rates and transmitted drug resistance at population level. Determining HIV incidence rates by prospective follow-up of HIV-uninfected individuals is challenging and serological assays have important limitations. HIV diversity within an infected host increases with duration of infection. We explore a simple bioinformatics approach to assess viral diversity by determining the percentage of ambiguous base calls in sequences derived from standard genotyping of HIV-1 protease and reverse transcriptase. Sequences from 691 recently infected (≤1 year) and chronically infected (>1 year) individuals from Sweden, Vietnam and Ethiopia were analyzed for ambiguity. A significant difference (p<0.0001) in the proportion of ambiguous bases was observed between sequences from individuals with recent and chronic infection in both HIV-1 subtype B and non-B infection, consistent with previous studies. In our analysis, a cutoff of <0.47% ambiguous base calls identified recent infection with a sensitivity and specificity of 88.8% and 74.6% respectively. 1,728 protease and reverse transcriptase sequences from 36 surveys of transmitted HIV drug resistance performed following World Health Organization guidance were analyzed for ambiguity. The 0.47% ambiguity cutoff was applied and survey sequences were classified as likely derived from recently or chronically infected individuals. 71% of patients were classified as likely to have been infected within one year of genotyping but results varied considerably amongst surveys. This bioinformatics approach may provide supporting population-level information to identify recent infection but its application is limited by infection with more than one viral variant, decreasing viral diversity in advanced disease and technical aspects of population based sequencing. Standardization of sequencing techniques and base calling and the addition of other parameters such as CD4 cell count may address some of the technical limitations and increase the usefulness of the approach.
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Affiliation(s)
- Emmi Andersson
- Department of Laboratory Medicine, Karolinska Institutet, 14186 Huddinge, Sweden.
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Redd AD, Collinson-Streng AN, Chatziandreou N, Mullis CE, Laeyendecker O, Martens C, Ricklefs S, Kiwanuka N, Nyein PH, Lutalo T, Grabowski MK, Kong X, Manucci J, Sewankambo N, Wawer MJ, Gray RH, Porcella SF, Fauci AS, Sagar M, Serwadda D, Quinn TC. Previously transmitted HIV-1 strains are preferentially selected during subsequent sexual transmissions. J Infect Dis 2012; 206:1433-42. [PMID: 22997233 DOI: 10.1093/infdis/jis503] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND A genetic bottleneck is known to exist for human immunodeficiency virus (HIV) at the point of sexual transmission. However, the nature of this bottleneck and its effect on viral diversity over time is unclear. METHODS Interhost and intrahost HIV diversity was analyzed in a stable population in Rakai, Uganda, from 1994 to 2002. HIV-1 envelope sequences from both individuals in initially HIV-discordant relationships in which transmission occurred later were examined using Sanger sequencing of bulk polymerase chain reaction (PCR) products (for 22 couples), clonal analysis (for 3), and next-generation deep sequencing (for 9). RESULTS Intrahost viral diversity was significantly higher than changes in interhost diversity (P < .01). The majority of HIV-1-discordant couples examined via bulk PCR (16 of 22 couples), clonal analysis (3 of 3), and next-generation deep sequencing (6 of 9) demonstrated that the viral populations present in the newly infected recipient were more closely related to the donor partner's HIV-1 variants found earlier during infection as compared to those circulating near the estimated time of transmission (P = .03). CONCLUSIONS These findings suggest that sexual transmission constrains viral diversity at the population level, partially because of the preferential transmission of ancestral as opposed to contemporary strains circulating in the transmitting partner. Future successful vaccine strategies may need to target these transmitted ancestral strains.
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Affiliation(s)
- Andrew D Redd
- Laboratory of Immunoregulation, Division of Intramural Research (DIR), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA
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44
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Comparison of a high-resolution melting assay to next-generation sequencing for analysis of HIV diversity. J Clin Microbiol 2012; 50:3054-9. [PMID: 22785188 DOI: 10.1128/jcm.01460-12] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
Next-generation sequencing (NGS) has recently been used for analysis of HIV diversity, but this method is labor-intensive, costly, and requires complex protocols for data analysis. We compared diversity measures obtained using NGS data to those obtained using a diversity assay based on high-resolution melting (HRM) of DNA duplexes. The HRM diversity assay provides a single numeric score that reflects the level of diversity in the region analyzed. HIV gag and env from individuals in Rakai, Uganda, were analyzed in a previous study using NGS (n = 220 samples from 110 individuals). Three sequence-based diversity measures were calculated from the NGS sequence data (percent diversity, percent complexity, and Shannon entropy). The amplicon pools used for NGS were analyzed with the HRM diversity assay. HRM scores were significantly associated with sequence-based measures of HIV diversity for both gag and env (P < 0.001 for all measures). The level of diversity measured by the HRM diversity assay and NGS increased over time in both regions analyzed (P < 0.001 for all measures except for percent complexity in gag), and similar amounts of diversification were observed with both methods (P < 0.001 for all measures except for percent complexity in gag). Diversity measures obtained using the HRM diversity assay were significantly associated with those from NGS, and similar increases in diversity over time were detected by both methods. The HRM diversity assay is faster and less expensive than NGS, facilitating rapid analysis of large studies of HIV diversity and evolution.
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45
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Redd AD, Mullis CE, Serwadda D, Kong X, Martens C, Ricklefs SM, Tobian AAR, Xiao C, Grabowski MK, Nalugoda F, Kigozi G, Laeyendecker O, Kagaayi J, Sewankambo N, Gray RH, Porcella SF, Wawer MJ, Quinn TC. The rates of HIV superinfection and primary HIV incidence in a general population in Rakai, Uganda. J Infect Dis 2012; 206:267-74. [PMID: 22675216 DOI: 10.1093/infdis/jis325] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Human immunodeficiency virus (HIV) superinfection has been documented in high-risk individuals; however, the rate of superinfection among HIV-infected individuals within a general population remains unknown. METHODS A novel next-generation ultra-deep sequencing technique was utilized to determine the rate of HIV superinfection in a heterosexual population by examining two regions of the viral genome in longitudinal samples from recent HIV seroconverters (n=149) in Rakai District, Uganda. RESULTS The rate of superinfection was 1.44 per 100 person years (PYs) (95% confidence interval [CI], .4-2.5) and consisted of both inter- and intrasubtype superinfections. This was compared to primary HIV incidence in 20 220 initially HIV-negative individuals in the general population in Rakai (1.15 per 100 PYs; 95% CI, 1.1-1.2; P= .26). Propensity score matching (PS) was used to control for differences in sociodemographic and behavioral characteristics between the HIV-positive individuals at risk for superinfection and the HIV-negative population at baseline and follow-up. After PS matching, the estimated rate of primary incidence was 3.28 per 100 PYs (95% CI, 2.0-5.3; P = .07) controlling for baseline differences and 2.51 per 100 PYs (95% CI, 1.5-4.3; P = .24) controlling for follow-up differences. CONCLUSIONS This suggests that the rate of HIV superinfection in a general population is substantial, which could have a significant impact on future public health and HIV vaccine strategies.
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Affiliation(s)
- Andrew D Redd
- Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Baltimore, MD 21205, USA.
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46
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Kraft CS, Basu D, Hawkins PA, Hraber PT, Chomba E, Mulenga J, Kilembe W, Khu NH, Derdeyn CA, Allen SA, Manigart O, Hunter E. Timing and source of subtype-C HIV-1 superinfection in the newly infected partner of Zambian couples with disparate viruses. Retrovirology 2012; 9:22. [PMID: 22433432 PMCID: PMC3349552 DOI: 10.1186/1742-4690-9-22] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2011] [Accepted: 03/20/2012] [Indexed: 02/07/2023] Open
Abstract
Background HIV-1 superinfection occurs at varying frequencies in different at risk populations. Though seroincidence is decreased, in the negative partner of HIV-discordant couples after joint testing and counseling in the Zambia Emory HIV Research Project (ZEHRP) cohort, the annual infection rate remains relatively high at 7-8%. Based on sequencing within the gp41 region of each partner's virus, 24% of new infections between 2004 and 2008 were the result of transmission from a non-spousal partner. Since these seroconvertors and their spouses have disparate epidemiologically-unlinked viruses, there is a risk of superinfection within the marriage. We have, therefore, investigated the incidence and viral origin of superinfection in these couples. Results Superinfection was detected by heteroduplex mobility assay (HMA), degenerate base counting of the gp41 sequence, or by phylogenetic analysis of the longitudinal sequences. It was confirmed by full-length env single genome amplification and phylogenetic analysis. In 22 couples (44 individuals), followed for up to five years, three of the newly infected (initially HIV uninfected) partners became superinfected. In each case superinfection occurred during the first 12 months following initial infection of the negative partner, and in each case the superinfecting virus was derived from a non-spousal partner. In addition, one probable case of intra-couple HIV-1 superinfection was observed in a chronically infected partner at the time of his seroconverting spouse's initial viremia. Extensive recombination within the env gene was observed following superinfection. Conclusions In this subtype-C discordant couple cohort, superinfection, during the first year after HIV-1 infection of the previously negative partner, occurred at a rate similar to primary infection (13.6% [95% CI 5.2-34.8] vs 7.8% [7.1-8.6]). While limited intra-couple superinfection may in part reflect continued condom usage within couples, this and our lack of detecting newly superinfected individuals after one year of primary infection raise the possibility that immunological resistance to intra-subtype superinfection may develop over time in subtype C infected individuals.
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Affiliation(s)
- Colleen S Kraft
- Emory Vaccine Center at Yerkes National Primate Research Center, Emory University, Atlanta, GA, USA
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47
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Castro-Nallar E, Crandall KA, Pérez-Losada M. Genetic diversity and molecular epidemiology of HIV transmission. Future Virol 2012. [DOI: 10.2217/fvl.12.4] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The high genetic diversity of HIV is one of its most significant features, as it has consequences in global distribution, vaccine design, therapy success, disease progression, transmissibility and viral load testing. Studying HIV diversity helps to understand its origins, migration patterns, current distribution and transmission events. New advances in sequencing technologies based on the parallel acquisition of data are now used to characterize within-host and population processes in depth. Additionally, we have seen similar advances in statistical methods designed to model the past history of lineages (the phylodynamic framework) to ultimately gain better insights into the evolutionary history of HIV. We can, for example, estimate population size changes, lineage dispersion over geographic areas and epidemiological parameters solely from sequence data. In this article, we review some of the evolutionary approaches used to study transmission patterns and processes in HIV and the insights gained from such studies.
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Affiliation(s)
- Eduardo Castro-Nallar
- Department of Biology, 401 Widtsoe Building, Brigham Young University, Provo, UT 84602-5181, USA
| | - Keith A Crandall
- Department of Biology, 401 Widtsoe Building, Brigham Young University, Provo, UT 84602-5181, USA
| | - Marcos Pérez-Losada
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, 4485-661 Vairão, Portugal
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48
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Abstract
PURPOSE OF REVIEW This review describes the nature and frequency of HIV-1 superinfection and provides advice regarding counselling of patients in accordance with national guidelines. RECENT FINDINGS Recent studies have demonstrated conflicting results, from no superinfection to an incidence of over 18%. We discuss the difficulties comparing studies due to population and methodological differences. SUMMARY HIV-infected individuals should be counselled that there is risk of superinfection at all stages of HIV, but this is unlikely to be clinically significant unless transmission of resistance occurs. The risk may be as high as the risk of new incident infection in the presence of on-going exposure.
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Applications of next-generation sequencing technologies to diagnostic virology. Int J Mol Sci 2011; 12:7861-84. [PMID: 22174638 PMCID: PMC3233444 DOI: 10.3390/ijms12117861] [Citation(s) in RCA: 177] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2011] [Revised: 10/20/2011] [Accepted: 11/07/2011] [Indexed: 02/07/2023] Open
Abstract
Novel DNA sequencing techniques, referred to as “next-generation” sequencing (NGS), provide high speed and throughput that can produce an enormous volume of sequences with many possible applications in research and diagnostic settings. In this article, we provide an overview of the many applications of NGS in diagnostic virology. NGS techniques have been used for high-throughput whole viral genome sequencing, such as sequencing of new influenza viruses, for detection of viral genome variability and evolution within the host, such as investigation of human immunodeficiency virus and human hepatitis C virus quasispecies, and monitoring of low-abundance antiviral drug-resistance mutations. NGS techniques have been applied to metagenomics-based strategies for the detection of unexpected disease-associated viruses and for the discovery of novel human viruses, including cancer-related viruses. Finally, the human virome in healthy and disease conditions has been described by NGS-based metagenomics.
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Eshleman SH, Hudelson SE, Redd AD, Wang L, Debes R, Chen YQ, Martens CA, Ricklefs SM, Selig EJ, Porcella SF, Munshaw S, Ray SC, Piwowar-Manning E, McCauley M, Hosseinipour MC, Kumwenda J, Hakim JG, Chariyalertsak S, de Bruyn G, Grinsztejn B, Kumarasamy N, Makhema J, Mayer KH, Pilotto J, Santos BR, Quinn TC, Cohen MS, Hughes JP. Analysis of genetic linkage of HIV from couples enrolled in the HIV Prevention Trials Network 052 trial. J Infect Dis 2011; 204:1918-26. [PMID: 21990420 DOI: 10.1093/infdis/jir651] [Citation(s) in RCA: 87] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND The HIV Prevention Trials Network (HPTN) 052 trial demonstrated that early initiation of antiretroviral therapy (ART) reduces human immunodeficiency virus (HIV) transmission from HIV-infected adults (index participants) to their HIV-uninfected sexual partners. We analyzed HIV from 38 index-partner pairs and 80 unrelated index participants (controls) to assess the linkage of seroconversion events. METHODS Linkage was assessed using phylogenetic analysis of HIV pol sequences and Bayesian analysis of genetic distances between pol sequences from index-partner pairs and controls. Selected samples were also analyzed using next-generation sequencing (env region). RESULTS In 29 of the 38 (76.3%) cases analyzed, the index was the likely source of the partner's HIV infection (linked). In 7 cases (18.4%), the partner was most likely infected from a source other than the index participant (unlinked). In 2 cases (5.3%), linkage status could not be definitively established. CONCLUSIONS Nearly one-fifth of the seroconversion events in HPTN 052 were unlinked. The association of early ART and reduced HIV transmission was stronger when the analysis included only linked events. This underscores the importance of assessing the genetic linkage of HIV seroconversion events in HIV prevention studies involving serodiscordant couples.
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Affiliation(s)
- Susan H Eshleman
- Department of Pathology, Johns Hopkins University, School of Medicine, Baltimore, Maryland 21205, USA.
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