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West E, Zeeb M, Grube C, Kuster H, Wanner K, Scheier T, Neumann K, Jörimann L, Hampel B, Metzner KJ, Kouyos RD, Braun DL, Günthard HF. Sustained Viral Suppression With Dolutegravir Monotherapy Over 192 Weeks in Patients Starting Combination Antiretroviral Therapy During Primary Human Immunodeficiency Virus Infection (EARLY-SIMPLIFIED): A Randomized, Controlled, Multi-site, Noninferiority Trial. Clin Infect Dis 2023; 77:1012-1020. [PMID: 37338148 PMCID: PMC10552587 DOI: 10.1093/cid/ciad366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 05/01/2023] [Accepted: 06/16/2023] [Indexed: 06/21/2023] Open
Abstract
BACKGROUND Starting combination antiretroviral therapy (cART) during primary human immunodeficiency virus type 1 (HIV-1) infection results in a smaller HIV-1 latent reservoir, reduced immune activation, and less viral diversity compared to starting cART during chronic infection. We report results of a 4-year study designed to determine whether these properties would allow sustained virological suppression after simplification of cART to dolutegravir (DTG) monotherapy. METHODS EARLY-SIMPLIFIED is a randomized, open-label, noninferiority trial. People with HIV (PWH) who started cART <180 days after a documented primary HIV-1 infection with suppressed viral load were randomized (2:1) to DTG monotherapy with 50 mg daily or continuation of cART. The primary endpoints were the proportion of PWH with viral failure at 48, 96, 144, and 192 weeks; noninferiority margin was 10%. After 96 weeks, randomization was lifted and patients were permitted to switch treatment groups as desired. RESULTS Of 101 PWH randomized, 68 were assigned to DTG monotherapy and 33 to cART. At week 96 in the per-protocol population, 64/64 (100%) showed virological response in the DTG monotherapy group versus 30/30 (100%) in the cART group (difference, 0.00%; upper bound of 95% confidence interval 6.22%). This demonstrated noninferiority of DTG monotherapy at the prespecified level. At week 192, the study end, no virological failure occurred in either group during 13 308 and 4897 person weeks of follow-up for the DTG monotherapy (n = 80) and cART groups, respectively. CONCLUSIONS This trial suggests that early cART initiation during primary HIV infection allows sustained virological suppression after switching to DTG monotherapy.
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Affiliation(s)
- Emily West
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Marius Zeeb
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Christina Grube
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Herbert Kuster
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Katrin Wanner
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Thomas Scheier
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Kathrin Neumann
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Lisa Jörimann
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Benjamin Hampel
- Checkpoint Zurich, Zurich, Switzerland
- Department of Public and Global Health, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Karin J Metzner
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Roger D Kouyos
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Dominique L Braun
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Huldrych F Günthard
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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2
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Balakrishna S, Loosli T, Zaheri M, Frischknecht P, Huber M, Kusejko K, Yerly S, Leuzinger K, Perreau M, Ramette A, Wymant C, Fraser C, Kellam P, Gall A, Hirsch HH, Stoeckle M, Rauch A, Cavassini M, Bernasconi E, Notter J, Calmy A, Günthard HF, Metzner KJ, Kouyos RD. Frequency matters: comparison of drug resistance mutation detection by Sanger and next-generation sequencing in HIV-1. J Antimicrob Chemother 2023; 78:656-664. [PMID: 36738248 DOI: 10.1093/jac/dkac430] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 11/18/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Next-generation sequencing (NGS) is gradually replacing Sanger sequencing (SS) as the primary method for HIV genotypic resistance testing. However, there are limited systematic data on comparability of these methods in a clinical setting for the presence of low-abundance drug resistance mutations (DRMs) and their dependency on the variant-calling thresholds. METHODS To compare the HIV-DRMs detected by SS and NGS, we included participants enrolled in the Swiss HIV Cohort Study (SHCS) with SS and NGS sequences available with sample collection dates ≤7 days apart. We tested for the presence of HIV-DRMs and compared the agreement between SS and NGS at different variant-calling thresholds. RESULTS We included 594 pairs of SS and NGS from 527 SHCS participants. Males accounted for 80.5% of the participants, 76.3% were ART naive at sample collection and 78.1% of the sequences were subtype B. Overall, we observed a good agreement (Cohen's kappa >0.80) for HIV-DRMs for variant-calling thresholds ≥5%. We observed an increase in low-abundance HIV-DRMs detected at lower thresholds [28/417 (6.7%) at 10%-25% to 293/812 (36.1%) at 1%-2% threshold]. However, such low-abundance HIV-DRMs were overrepresented in ART-naive participants and were in most cases not detected in previously sampled sequences suggesting high sequencing error for thresholds <3%. CONCLUSIONS We found high concordance between SS and NGS but also a substantial number of low-abundance HIV-DRMs detected only by NGS at lower variant-calling thresholds. Our findings suggest that a substantial fraction of the low-abundance HIV-DRMs detected at thresholds <3% may represent sequencing errors and hence should not be overinterpreted in clinical practice.
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Affiliation(s)
- Suraj Balakrishna
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Tom Loosli
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Maryam Zaheri
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Swiss National Center for Retroviruses, University of Zurich, Zurich, Switzerland
| | - Paul Frischknecht
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Michael Huber
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Swiss National Center for Retroviruses, University of Zurich, Zurich, Switzerland
| | - Katharina Kusejko
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Sabine Yerly
- Laboratory of Virology, University Hospital Geneva, University of Geneva, Geneva, Switzerland
| | - Karoline Leuzinger
- Clinical Virology Division, Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | - Matthieu Perreau
- Division of Immunology and Allergy, University Hospital Lausanne, University of Lausanne, Lausanne, Switzerland
| | - Alban Ramette
- Institute for Infectious Diseases, University of Bern, Bern, Switzerland
| | - Chris Wymant
- Nuffield Department of Medicine, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Christophe Fraser
- Nuffield Department of Medicine, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.,Nuffield Department of Medicine, Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Paul Kellam
- Department of Infectious Diseases, Faculty of Medicine, Imperial College London, London, UK
| | - Astrid Gall
- Excellence in Life Sciences (EMBO), Heidelberg, Germany
| | - Hans H Hirsch
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Marcel Stoeckle
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Andri Rauch
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Matthias Cavassini
- Division of Infectious Diseases, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland
| | - Julia Notter
- Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St Gallen, St Gallen, Switzerland
| | - Alexandra Calmy
- Division of Infectious Diseases, University Hospital Geneva, University of Geneva, Geneva, Switzerland
| | - Huldrych F Günthard
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Karin J Metzner
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Roger D Kouyos
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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3
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Baxter J, Langhorne S, Shi T, Tully DC, Villabona-Arenas CJ, Hué S, Albert J, Leigh Brown A, Atkins KE. Inferring the multiplicity of founder variants initiating HIV-1 infection: a systematic review and individual patient data meta-analysis. THE LANCET. MICROBE 2023; 4:e102-e112. [PMID: 36642083 DOI: 10.1016/s2666-5247(22)00327-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 10/26/2022] [Accepted: 10/28/2022] [Indexed: 01/15/2023]
Abstract
BACKGROUND HIV-1 infections initiated by multiple founder variants are characterised by a higher viral load and a worse clinical prognosis than those initiated with single founder variants, yet little is known about the routes of exposure through which transmission of multiple founder variants is most probable. Here we used individual patient data to calculate the probability of multiple founders stratified by route of HIV exposure and study methodology. METHODS We conducted a systematic review and meta-analysis of studies that estimated founder variant multiplicity in HIV-1 infection, searching MEDLINE, Embase, and Global Health databases for papers published between Jan 1, 1990, and Sept 14, 2020. Eligible studies must have reported original estimates of founder variant multiplicity in people with acute or early HIV-1 infections, have clearly detailed the methods used, and reported the route of exposure. Studies were excluded if they reported data concerning people living with HIV-1 who had known or suspected superinfection, who were documented as having received pre-exposure prophylaxis, or if the transmitting partner was known to be receiving antiretroviral treatment. Individual patient data were collated from all studies, with authors contacted if these data were not publicly available. We applied logistic meta-regression to these data to estimate the probability that an HIV infection is initiated by multiple founder variants. We calculated a pooled estimate using a random effects model, subsequently stratifying this estimate across exposure routes in a univariable analysis. We then extended our model to adjust for different study methods in a multivariable analysis, recalculating estimates across the exposure routes. This study is registered with PROSPERO, CRD42020202672. FINDINGS We included 70 publications in our analysis, comprising 1657 individual patients. Our pooled estimate of the probability that an infection is initiated by multiple founder variants was 0·25 (95% CI 0·21-0·29), with moderate heterogeneity (Q=132·3, p<0·0001, I2=64·2%). Our multivariable analysis uncovered differences in the probability of multiple variant infection by exposure route. Relative to a baseline of male-to-female transmission, the predicted probability for female-to-male multiple variant transmission was significantly lower at 0·13 (95% CI 0·08-0·20), and the probabilities were significantly higher for transmissions in people who inject drugs (0·37 [0·24-0·53]) and men who have sex with men (0·30 [0·33-0·40]). There was no significant difference in the probability of multiple variant transmission between male-to-female transmission (0·21 [0·14-0·31]), post-partum transmission (0·18 [0·03-0·57]), pre-partum transmission (0·17 [0·08-0·33]), and intra-partum transmission (0·27 [0·14-0·45]). INTERPRETATION We identified that transmissions in people who inject drugs and men who have sex with men are significantly more likely to result in an infection initiated by multiple founder variants, and female-to-male infections are significantly less probable. Quantifying how the routes of HIV infection affect the transmission of multiple variants allows us to better understand how the evolution and epidemiology of HIV-1 determine clinical outcomes. FUNDING Medical Research Council Precision Medicine Doctoral Training Programme and a European Research Council Starting Grant.
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Affiliation(s)
- James Baxter
- Usher Institute, The University of Edinburgh, Edinburgh, UK.
| | - Sarah Langhorne
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Ting Shi
- Usher Institute, The University of Edinburgh, Edinburgh, UK
| | - Damien C Tully
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Ch Julián Villabona-Arenas
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Stéphane Hué
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Jan Albert
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Microbiology, Karolinska University Hospital, Stockholm, Sweden
| | - Andrew Leigh Brown
- Institute of Evolutionary Biology, The University of Edinburgh, Edinburgh, UK
| | - Katherine E Atkins
- Usher Institute, The University of Edinburgh, Edinburgh, UK; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
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4
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Unsupervised machine learning predicts future sexual behaviour and sexually transmitted infections among HIV-positive men who have sex with men. PLoS Comput Biol 2022; 18:e1010559. [DOI: 10.1371/journal.pcbi.1010559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 11/08/2022] [Accepted: 09/12/2022] [Indexed: 11/09/2022] Open
Abstract
Machine learning is increasingly introduced into medical fields, yet there is limited evidence for its benefit over more commonly used statistical methods in epidemiological studies. We introduce an unsupervised machine learning framework for longitudinal features and evaluate it using sexual behaviour data from the last 20 years from over 3’700 participants in the Swiss HIV Cohort Study (SHCS). We use hierarchical clustering to find subgroups of men who have sex with men in the SHCS with similar sexual behaviour up to May 2017, and apply regression to test whether these clusters enhance predictions of sexual behaviour or sexually transmitted diseases (STIs) after May 2017 beyond what can be predicted with conventional parameters. We find that behavioural clusters enhance model performance according to likelihood ratio test, Akaike information criterion and area under the receiver operator characteristic curve for all outcomes studied, and according to Bayesian information criterion for five out of ten outcomes, with particularly good performance for predicting future sexual behaviour and recurrent STIs. We thus assess a methodology that can be used as an alternative means for creating exposure categories from longitudinal data in epidemiological models, and can contribute to the understanding of time-varying risk factors.
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5
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McGowan IM, Chawki S, Hendrix CW, Anton PA, Marzinke MA, Brand RM, Engstrom JC, Rohan LC, Abebe KZ, Richardson-Harman N, Siegel A, Reinhart A, Steytler J, Stall R, Spiegel H, Chen B, Achilles SL, Jacobson CE, Khanukova E, Cranston RD. A Randomized, Open-Label, Crossover Phase 1 Safety and Pharmacokinetic Study of Oral Maraviroc and Maraviroc 1% Gel (the CHARM-03 Study). AIDS Res Hum Retroviruses 2022; 38:269-278. [PMID: 34384282 PMCID: PMC9048171 DOI: 10.1089/aid.2021.0096] [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] [Indexed: 11/12/2022] Open
Abstract
The Combination HIV Antiretroviral Rectal Microbicide-3 (CHARM-03) study was a randomized, open-label, crossover Phase 1 safety and pharmacokinetic (PK) study of oral maraviroc (MVC) and MVC 1% gel. At a single site, healthy HIV-uninfected men and women were enrolled and randomized to an open label crossover sequence of eight consecutive daily exposures to MVC 300 mg dosed orally, MCV 1% gel dosed rectally, and MVC 1% gel dosed vaginally. Male participants received oral and rectal dosing and female participants received oral, rectal, and vaginal dosing. Assessments were undertaken at baseline and following each 8-day period and included collection of plasma, rectal/cervical tissue (CT), and rectal/endocervical/vaginal fluids. Eleven men and nine women were enrolled. Two participants withdrew from the study before receiving study product. There were 25 adverse events, of which 24 were Grade 1 (G1) and one was G2 (unrelated). After eight doses, MVC was quantifiable in all samples following oral, rectal, or vaginal product administration. The highest drug concentrations in plasma, rectal tissue (RT), and CT were associated with oral, rectal, and vaginal drug delivery, respectively. There were significant reductions in tissue drug concentrations when rectal and cervical biopsies were incubated in media before tissue processing for PK (p < .0001). Only oral MVC was associated with limited protection in the rectal explant HIV challenge model (p < .05). There were no immunological changes in RT, and all products were acceptable to participants. In conclusion, all products were found to be safe and acceptable and did not induce local inflammation. The lack of ex vivo efficacy demonstrated in study samples may be due to rapid disassociation of MVC from the explant tissue. ClinicalTrials.gov Identifier: NCT02346084.
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Affiliation(s)
- Ian M. McGowan
- Orion Biotechnology, Ottawa, Canada
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Magee-Womens Research Institute, Pittsburgh, Pennsylvania, USA
| | - Sylvain Chawki
- INSERM, Paris, France
- Department of Virology, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, France
| | - Craig W. Hendrix
- Division of Clinical Pharmacology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Peter A. Anton
- Department of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Mark A. Marzinke
- Division of Clinical Pharmacology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Rhonda M. Brand
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Magee-Womens Research Institute, Pittsburgh, Pennsylvania, USA
| | | | - Lisa C. Rohan
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Magee-Womens Research Institute, Pittsburgh, Pennsylvania, USA
| | - Kaleab Z. Abebe
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | | | - Aaron Siegel
- Magee-Womens Research Institute, Pittsburgh, Pennsylvania, USA
| | | | - John Steytler
- International Partnership for Microbicides, Silver Spring, Maryland, USA
| | - Ronald Stall
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Hans Spiegel
- Kelly Government Solutions, Department of Health and Human Services, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland, USA
| | - Beatrice Chen
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Magee-Womens Research Institute, Pittsburgh, Pennsylvania, USA
| | - Sharon L. Achilles
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Magee-Womens Research Institute, Pittsburgh, Pennsylvania, USA
| | | | - Elena Khanukova
- Division of Clinical Pharmacology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Ross D. Cranston
- Department of Medicine, University of Barcelona, Barcelona, Spain
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6
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Rindler AE, Kusejko K, Kuster H, Neumann K, Leemann C, Zeeb M, Chaudron SE, Braun DL, Kouyos RD, Metzner KJ, Günthard HF. The interplay between replication capacity of HIV-1 and surrogate markers of disease. J Infect Dis 2022; 226:1057-1068. [PMID: 35299248 DOI: 10.1093/infdis/jiac100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 03/16/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND HIV-1 replication capacity (RC) of transmitted/founder viruses may influence the further course of HIV-1 infection. METHODS Replication capacities (RCs) of 355 whole genome primary HIV-1 isolates derived from samples acquired during acute and recent primary HIV-1 infection (PHI) were determined using a novel high throughput infection assay in primary cells. The RCs were used to elucidate potential factors that could be associated with RC during PHI. RESULTS Increased RC was found to be associated with increased set point viral load (VL), and significant differences in RCs among 13 different HIV-1 subtypes were discerned. Notably, we observed an increase in RCs for primary HIV-1 isolates of HIV-1 subtype B over a 17-year period. Associations were not observed between RC and CD4 count at sample date of RC measurement, CD4 recovery after initiation of antiretroviral treatment (ART), CD4 decline in untreated individuals, and acute retroviral syndrome severity scores. DISCUSSION These findings highlight that RCs of primary HIV-1 isolates acquired during the acute and recent phase of infection are more associated with viral factors, i.e., set point VL, than with host factors. Furthermore, we observed a temporal increase in RC for HIV-1 subtype B viruses over a period of 17 years.
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Affiliation(s)
- Audrey E Rindler
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Life Science Zurich Graduate School, University of Zurich, Zurich, Switzerland
| | - Katharina Kusejko
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Herbert Kuster
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Kathrin Neumann
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Christine Leemann
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Marius Zeeb
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Life Science Zurich Graduate School, University of Zurich, Zurich, Switzerland
| | - Sandra E Chaudron
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Life Science Zurich Graduate School, University of Zurich, Zurich, Switzerland
| | - Dominique L Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Karin J Metzner
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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7
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Detecting Selection in the HIV-1 Genome during Sexual Transmission Events. Viruses 2022; 14:v14020406. [PMID: 35215999 PMCID: PMC8876189 DOI: 10.3390/v14020406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 02/04/2022] [Accepted: 02/11/2022] [Indexed: 01/27/2023] Open
Abstract
Little is known about whether and how variation in the HIV-1 genome affects its transmissibility. Assessing which genomic features of HIV-1 are under positive or negative selection during transmission is challenging, because very few virus particles are typically transmitted, and random genetic drift can dilute genetic signals in the recipient virus population. We analyzed 30 transmitter–recipient pairs from the Zurich Primary HIV Infection Study and the Swiss HIV Cohort Study using near full-length HIV-1 genomes. We developed a new statistical test to detect selection during transmission, called Selection Test in Transmission (SeTesT), based on comparing the transmitter and recipient virus population and accounting for the transmission bottleneck. We performed extensive simulations and found that sensitivity of detecting selection during transmission is limited by the strong population bottleneck of few transmitted virions. When pooling individual test results across patients, we found two candidate HIV-1 genomic features for affecting transmission, namely amino acid positions 3 and 18 of Vpu, which were significant before but not after correction for multiple testing. In summary, SeTesT provides a general framework for detecting selection based on genomic sequencing data of transmitted viruses. Our study shows that a higher number of transmitter–recipient pairs is required to improve sensitivity of detecting selection.
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8
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Friedrich N, Stiegeler E, Glögl M, Lemmin T, Hansen S, Kadelka C, Wu Y, Ernst P, Maliqi L, Foulkes C, Morin M, Eroglu M, Liechti T, Ivan B, Reinberg T, Schaefer JV, Karakus U, Ursprung S, Mann A, Rusert P, Kouyos RD, Robinson JA, Günthard HF, Plückthun A, Trkola A. Distinct conformations of the HIV-1 V3 loop crown are targetable for broad neutralization. Nat Commun 2021; 12:6705. [PMID: 34795280 PMCID: PMC8602657 DOI: 10.1038/s41467-021-27075-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 11/03/2021] [Indexed: 12/14/2022] Open
Abstract
The V3 loop of the HIV-1 envelope (Env) protein elicits a vigorous, but largely non-neutralizing antibody response directed to the V3-crown, whereas rare broadly neutralizing antibodies (bnAbs) target the V3-base. Challenging this view, we present V3-crown directed broadly neutralizing Designed Ankyrin Repeat Proteins (bnDs) matching the breadth of V3-base bnAbs. While most bnAbs target prefusion Env, V3-crown bnDs bind open Env conformations triggered by CD4 engagement. BnDs achieve breadth by focusing on highly conserved residues that are accessible in two distinct V3 conformations, one of which resembles CCR5-bound V3. We further show that these V3-crown conformations can, in principle, be attacked by antibodies. Supporting this conclusion, analysis of antibody binding activity in the Swiss 4.5 K HIV-1 cohort (n = 4,281) revealed a co-evolution of V3-crown reactivities and neutralization breadth. Our results indicate a role of V3-crown responses and its conformational preferences in bnAb development to be considered in preventive and therapeutic approaches.
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Affiliation(s)
- Nikolas Friedrich
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Emanuel Stiegeler
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland ,grid.424277.0Present Address: Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Deutschland
| | - Matthias Glögl
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Thomas Lemmin
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland ,grid.5801.c0000 0001 2156 2780Department of Computer Science, ETH Zurich, Zurich, Switzerland ,grid.29078.340000 0001 2203 2861Present Address: Euler Institute, Faculty of Biomedicine, Università della Svizzera italiana (USI), Lugano, Switzerland
| | - Simon Hansen
- grid.7400.30000 0004 1937 0650Department of Biochemistry, University of Zurich (UZH), Zurich, Switzerland ,Present Address: NGM Bio, 333 Oysterpoint Blvd, South San Francisco, CA 94080 USA
| | - Claus Kadelka
- grid.34421.300000 0004 1936 7312Department of Mathematics, Iowa State University, Ames, IA USA
| | - Yufan Wu
- grid.7400.30000 0004 1937 0650Department of Biochemistry, University of Zurich (UZH), Zurich, Switzerland ,Present Address: Innovent Biologics Inc, 168 Dongping Street, Suzhou Industrial Park, 215123 China
| | - Patrick Ernst
- grid.7400.30000 0004 1937 0650Department of Biochemistry, University of Zurich (UZH), Zurich, Switzerland ,grid.7400.30000 0004 1937 0650Present Address: Office Research and Teaching, Medical Faculty, University of Zurich, Zurich, Switzerland
| | - Liridona Maliqi
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Caio Foulkes
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Mylène Morin
- grid.7400.30000 0004 1937 0650Department of Chemistry, University of Zurich (UZH), Zurich, Switzerland ,Present Address: BeiGene Switzerland GmbH, Aeschengraben 27, 4051 Basel, Switzerland
| | - Mustafa Eroglu
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland ,Present Address: Janssen Vaccines AG, Rehhagstrasse 79, 3018 Bern, Switzerland
| | - Thomas Liechti
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland ,grid.419681.30000 0001 2164 9667Present Address: ImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, MD USA
| | - Branislav Ivan
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland ,grid.410567.1Present Address: Laboratory Medicine, Division of Clinical Chemistry, University Hospital Basel, Basel, Switzerland
| | - Thomas Reinberg
- grid.7400.30000 0004 1937 0650Department of Biochemistry, University of Zurich (UZH), Zurich, Switzerland
| | - Jonas V. Schaefer
- grid.7400.30000 0004 1937 0650Department of Biochemistry, University of Zurich (UZH), Zurich, Switzerland ,grid.419481.10000 0001 1515 9979Present Address: Novartis Institutes for BioMedical Research, Chemical Biology & Therapeutics (CBT), Novartis Pharma AG, Virchow 16, 4056 Basel, Switzerland
| | - Umut Karakus
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Stephan Ursprung
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland ,grid.5335.00000000121885934Present Address: University of Cambridge School of Clinical Medicine, Department of Radiology, Cambridge, CB2 0QQ UK
| | - Axel Mann
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland ,Present Address: Roche Innovation Center Zurich, Roche Pharmaceutical Research and Early Development (pRED), Wagistrasse 10, 8952 Schlieren, Switzerland
| | - Peter Rusert
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland
| | - Roger D. Kouyos
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland ,grid.412004.30000 0004 0478 9977Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich (USZ), Zurich, Switzerland
| | - John A. Robinson
- grid.7400.30000 0004 1937 0650Department of Chemistry, University of Zurich (UZH), Zurich, Switzerland
| | - Huldrych F. Günthard
- grid.7400.30000 0004 1937 0650Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland ,grid.412004.30000 0004 0478 9977Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich (USZ), Zurich, Switzerland
| | - Andreas Plückthun
- grid.7400.30000 0004 1937 0650Department of Biochemistry, University of Zurich (UZH), Zurich, Switzerland
| | - Alexandra Trkola
- Institute of Medical Virology, University of Zurich (UZH), Zurich, Switzerland.
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9
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Comas I, Cancino-Muñoz I, Mariner-Llicer C, Goig GA, Ruiz-Hueso P, Francés-Cuesta C, García-González N, González-Candelas F. Use of next generation sequencing technologies for the diagnosis and epidemiology of infectious diseases. Enferm Infecc Microbiol Clin 2021; 38 Suppl 1:32-38. [PMID: 32111363 DOI: 10.1016/j.eimc.2020.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
For the first time, next generation sequencing technologies provide access to genomic information at a price and scale that allow their implementation in routine clinical practice and epidemiology. While there are still many obstacles to their implementation, there are also multiple examples of their major advantages compared with previous methods. Their main advantage is that a single determination allows epidemiological information on the causative microorganism to be obtained simultaneously, as well as its resistance profile, although these advantages vary according to the pathogen under study. This review discusses several examples of the clinical and epidemiological use of next generation sequencing applied to complete genomes and microbiomes and reflects on its future in clinical practice.
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Affiliation(s)
- Iñaki Comas
- Instituto de Biomedicina de Valencia, IBV-CSIC, Valencia, España; CIBER en Epidemiología y Salud Pública, Valencia, España.
| | | | | | - Galo A Goig
- Instituto de Biomedicina de Valencia, IBV-CSIC, Valencia, España
| | - Paula Ruiz-Hueso
- Unidad Mixta "Infección y Salud Pública" FISABIO-Universitat de València, Instituto de Biología Integrativa de Sistemas, I2SysBio (CSIC-UV), Valencia, España
| | - Carlos Francés-Cuesta
- Unidad Mixta "Infección y Salud Pública" FISABIO-Universitat de València, Instituto de Biología Integrativa de Sistemas, I2SysBio (CSIC-UV), Valencia, España
| | - Neris García-González
- Unidad Mixta "Infección y Salud Pública" FISABIO-Universitat de València, Instituto de Biología Integrativa de Sistemas, I2SysBio (CSIC-UV), Valencia, España
| | - Fernando González-Candelas
- CIBER en Epidemiología y Salud Pública, Valencia, España; Unidad Mixta "Infección y Salud Pública" FISABIO-Universitat de València, Instituto de Biología Integrativa de Sistemas, I2SysBio (CSIC-UV), Valencia, España
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10
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Kok YL, Vongrad V, Chaudron SE, Shilaih M, Leemann C, Neumann K, Kusejko K, Di Giallonardo F, Kuster H, Braun DL, Kouyos RD, Günthard HF, Metzner KJ. HIV-1 integration sites in CD4+ T cells during primary, chronic, and late presentation of HIV-1 infection. JCI Insight 2021; 6:143940. [PMID: 33784259 PMCID: PMC8262285 DOI: 10.1172/jci.insight.143940] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 03/25/2021] [Indexed: 12/29/2022] Open
Abstract
HIV-1 is capable of integrating its genome into that of its host cell. We examined the influence of the activation state of CD4+ T cells, the effect of antiretroviral therapy (ART), and the clinical stage of HIV-1 infection on HIV-1 integration site features and selection. HIV-1 integration sites were sequenced from longitudinally sampled resting and activated CD4+ T cells from 12 HIV-1–infected individuals. In total, 589 unique HIV-1 integration sites were analyzed: 147, 391, and 51 during primary, chronic, and late presentation of HIV-1 infection, respectively. As early as during primary HIV-1 infection and independent of the activation state of CD4+ T cells collected on and off ART, HIV-1 integration sites were preferentially detected in recurrent integration genes, genes associated with clonal expansion of latently HIV-1–infected CD4+ T cells, cancer-related genes, and highly expressed genes. The preference for cancer-related genes was more pronounced at late stages of HIV-1 infection. Host genomic features of HIV-1 integration site selection remained stable during HIV-1 infection in both resting and activated CD4+ T cells. In summary, characteristic HIV-1 integration site features are preestablished as early as during primary HIV-1 infection and are found in both resting and activated CD4+ T cells.
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Affiliation(s)
- Yik Lim Kok
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Valentina Vongrad
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Sandra E Chaudron
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Mohaned Shilaih
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Christine Leemann
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Kathrin Neumann
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Katharina Kusejko
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Francesca Di Giallonardo
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Herbert Kuster
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Dominique L Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Karin J Metzner
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, and.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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11
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Raffenberg M, Engel T, Schoepf IC, Kootstra NA, Reiss P, Braun DL, Thorball CW, Fellay J, Kouyos RD, Ledergerber B, Günthard HF, Tarr PE. Impact of Delaying Antiretroviral Treatment during Primary HIV Infection on Telomere Length. J Infect Dis 2021; 224:1775-1784. [PMID: 33822976 DOI: 10.1093/infdis/jiab186] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 03/31/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Telomere length (TL) shortens during aging, HIV-seroconversion and untreated chronic HIV infection. It is unknown whether early antiretroviral therapy (ART) start is associated with less TL shortening during primary HIV infection (PHI). METHODS We measured TL in peripheral blood mononuclear cells by quantitative PCR in participants of the Zurich PHI Study with samples available for >6 years. We obtained uni-/multivariable estimates from mixed-effects models and evaluated the association of delaying ART start or interrupting ART with baseline and longitudinal TL. RESULTS In 105 participants with PHI (median age 36 years, 9% women), median ART delay was 25, 42, and 60 days, respectively, in the 1 st (shortest), 2 nd, and 3 rd (longest) ART delay tertile. First ART delay tertile was associated with longer baseline TL (p for trend=0.034), and longer TL over 6 years, but only with continuous ART (p<0.001), not if ART was interrupted >12 months (p=0.408). In multivariable analysis, participants in the 2 nd and 3 rd ART delay tertile had 17.6% (5.4-29.7%; p=0.004) and 21.5% (9.4-33.5%; p<0.001) shorter TL, after adjustment for age, with limited effect modification by clinical variables. DISCUSSION In PHI, delaying ART start for even a matter of weeks was associated with significant and sustained TL shortening.
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Affiliation(s)
- Marieke Raffenberg
- University Department of Medicine and Infectious Diseases Service, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland.,Department of Intensive Care Medicine, Luzerner Kantonsspital, Luzern, Switzerland
| | - Tanja Engel
- University Department of Medicine and Infectious Diseases Service, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland.,Department of Internal Medicine, Kantonsspital Uri, Altdorf, Switzerland
| | - Isabella C Schoepf
- University Department of Medicine and Infectious Diseases Service, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland
| | - Neeltje A Kootstra
- Department of Experimental Immunology, Amsterdam University Medical Centers, University of Amsterdam, Netherlands
| | - Peter Reiss
- Department of Global Health and Division of Infectious Disease, Amsterdam University Medical Centers, University of Amsterdam, and Amsterdam Institute for Global Health and Development, Amsterdam, The Netherlands
| | - Dominique L Braun
- Division of Infectious Diseases, University Hospital Zurich, University of Zurich, Switzerland
| | - Christian W Thorball
- EPFL School of Life Sciences and Swiss Institute of Bioinformatics; Lausanne, Switzerland.,Precision Medicine Unit, CHUV, University of Lausanne, Switzerland
| | - Jacques Fellay
- EPFL School of Life Sciences and Swiss Institute of Bioinformatics; Lausanne, Switzerland.,Precision Medicine Unit, CHUV, University of Lausanne, Switzerland
| | - Roger D Kouyos
- Division of Infectious Diseases, University Hospital Zurich, University of Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Bruno Ledergerber
- Division of Infectious Diseases, University Hospital Zurich, University of Zurich, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases, University Hospital Zurich, University of Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Philip E Tarr
- University Department of Medicine and Infectious Diseases Service, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland
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12
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Rindler AE, Kuster H, Neumann K, Leemann C, Braun DL, Metzner KJ, Günthard HF. A Novel High Throughput, Parallel Infection Assay for Determining the Replication Capacities of 346 Primary HIV-1 Isolates of the Zurich Primary HIV-1 Infection Study in Primary Cells. Viruses 2021; 13:404. [PMID: 33806576 PMCID: PMC8000554 DOI: 10.3390/v13030404] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 03/02/2021] [Accepted: 03/02/2021] [Indexed: 12/24/2022] Open
Abstract
HIV-1 replication capacity is an important characteristic to understand the replication competence of single variants or virus populations. It can further aid in the understanding of HIV-1 pathogenicity, disease progression, and drug resistance mutations. To effectively study RC, many assays have been established. However, there is still demand for a high throughput replication capacity assay using primary cells which is robust and reproducible. In this study, we established such an assay and validated it using 346 primary HIV-1 isolates from patients enrolled in the Zurich Primary HIV Infection study (ZPHI) and two control viruses, HIV-1 JR-CSFWT and HIV-1 JR-CSFK65R_M184V. Replication capacity was determined by measuring the viral growth on PBMCs over 10 days by longitudinally transferring cell culture supernatant to TZM-bl reporter cells. By utilizing the TZM-bl luciferase reporter assay, we determined replication capacity by measuring viral infectivity. The simplicity of the experimental setup allowed for all 346 primary HIV-1 isolates to be replicated at one time. Although the infectious input dose for each virus was normalized, a broad range of replication capacity values over 4 logs was observed. The approach was confirmed by two repeated experiments and we demonstrated that the reproducibility of the replication capacity values is statistically comparable between the two separate experiments. In summary, these results endorse our high throughput replication capacity assay as reproducible and robust and can be utilized for large scale HIV-1 replication capacity experiments in primary cells.
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Affiliation(s)
- Audrey E. Rindler
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, 8091 Zürich, Switzerland; (A.E.R.); (H.K.); (K.N.); (C.L.); (D.L.B.)
- Institute of Medical Virology, University of Zürich, 8057 Zürich, Switzerland
- Life Sciences Graduate School, University of Zürich, 8057 Zürich, Switzerland
| | - Herbert Kuster
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, 8091 Zürich, Switzerland; (A.E.R.); (H.K.); (K.N.); (C.L.); (D.L.B.)
- Institute of Medical Virology, University of Zürich, 8057 Zürich, Switzerland
| | - Kathrin Neumann
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, 8091 Zürich, Switzerland; (A.E.R.); (H.K.); (K.N.); (C.L.); (D.L.B.)
- Institute of Medical Virology, University of Zürich, 8057 Zürich, Switzerland
| | - Christine Leemann
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, 8091 Zürich, Switzerland; (A.E.R.); (H.K.); (K.N.); (C.L.); (D.L.B.)
- Institute of Medical Virology, University of Zürich, 8057 Zürich, Switzerland
| | - Dominique L. Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, 8091 Zürich, Switzerland; (A.E.R.); (H.K.); (K.N.); (C.L.); (D.L.B.)
- Institute of Medical Virology, University of Zürich, 8057 Zürich, Switzerland
| | - Karin J. Metzner
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, 8091 Zürich, Switzerland; (A.E.R.); (H.K.); (K.N.); (C.L.); (D.L.B.)
- Institute of Medical Virology, University of Zürich, 8057 Zürich, Switzerland
| | - Huldrych F. Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, 8091 Zürich, Switzerland; (A.E.R.); (H.K.); (K.N.); (C.L.); (D.L.B.)
- Institute of Medical Virology, University of Zürich, 8057 Zürich, Switzerland
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13
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Hovaguimian F, Günthard HF, Hauser C, Conen A, Bernasconi E, Calmy A, Cavassini M, Seneghini M, Marzel A, Heinrich H, Scherrer A, Riou J, Spoerri A, Schmidlin K, Balakrishna S, Braun DL, Rampini SK, Fehr JS, Kouyos RD. Data linkage to evaluate the long-term risk of HIV infection in individuals seeking post-exposure prophylaxis. Nat Commun 2021; 12:1219. [PMID: 33619268 PMCID: PMC7900236 DOI: 10.1038/s41467-021-21485-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 01/26/2021] [Indexed: 11/25/2022] Open
Abstract
Evidence on the long-term risk of HIV infection in individuals taking HIV post-exposure prophylaxis remains limited. In this retrospective data linkage study, we evaluate the occurrence of HIV infection in 975 individuals who sought post-exposure prophylaxis in a tertiary hospital between 2007 and 2013. Using privacy preserving probabilistic linkage, we link these 975 records with two observational databases providing data on HIV events (Zurich Primary HIV Infection study and the Swiss HIV Cohort Study). This enables us to identify 22 HIV infections and to obtain long-term follow-up data, which reveal a median of 4.1 years between consultation for post-exposure prophylaxis and HIV diagnosis. Even though men who have sex with men constitute only 35.8% of those seeking post-exposure prophylaxis, all 22 events occur in this subgroup. These findings should strongly encourage early consideration of pre-exposure prophylaxis in men who have sex with men after a first episode of post-exposure prophylaxis. Individuals seeking post-exposure prophylaxis (PEP) for HIV may represent an important risk group for future HIV infection. Here the authors find HIV infections at long-term follow-up in 22 of 348 men who have sex with men, and 0 of 623 other PEP seekers.
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Affiliation(s)
- Frédérique Hovaguimian
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich, Zurich, Switzerland. .,Department of Public and Global Health, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland. .,Institute of Medical Virology, University of Zurich, Zurich, Switzerland.
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich, Zurich, Switzerland
| | - Christoph Hauser
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Anna Conen
- Department of Infectious Diseases and Hospital Hygiene, Kantonsspital Aarau, Aarau, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland
| | - Alexandra Calmy
- Laboratory of Virology and Division of Infectious Diseases, Geneva University Hospital, Geneva, Switzerland
| | - Matthias Cavassini
- Division of Infectious Diseases, Lausanne University Hospital, Lausanne, Switzerland
| | - Marco Seneghini
- Division of Infectious Diseases and Hospital Epidemiology, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Alex Marzel
- Research, Teaching and Development, Schulthess Clinic, Zurich, Switzerland
| | - Henriette Heinrich
- Department of Gastroenterology and Hepatology, University Hospital of Zurich, Zurich, Switzerland.,Department of Gastroenterology, Stadtspital Triemli, Zurich, Switzerland
| | - Alexandra Scherrer
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich, Zurich, Switzerland
| | - Julien Riou
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Adrian Spoerri
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Kurt Schmidlin
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Suraj Balakrishna
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Dominique L Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich, Zurich, Switzerland
| | - Silvana K Rampini
- Division of Internal Medicine, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Jan S Fehr
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich, Zurich, Switzerland.,Department of Public and Global Health, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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14
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Braun DL, Turk T, Tschumi F, Grube C, Hampel B, Depmeier C, Schreiber PW, Brugger SD, Greiner M, Steffens D, De Torrenté-Bayard C, Courlet P, Neumann K, Kuster H, Flepp M, Bertisch B, Decosterd L, Böni J, Metzner KJ, Kouyos RD, Günthard HF. Noninferiority of Simplified Dolutegravir Monotherapy Compared to Continued Combination Antiretroviral Therapy That Was Initiated During Primary Human Immunodeficiency Virus Infection: A Randomized, Controlled, Multisite, Open-label, Noninferiority Trial. Clin Infect Dis 2020; 69:1489-1497. [PMID: 30601950 DOI: 10.1093/cid/ciy1131] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 12/28/2018] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Patients who start combination antiretroviral therapy (cART) during primary human immunodeficiency virus type 1 (HIV-1) infection show a smaller HIV-1 latent reservoir, less immune activation, and less viral diversity compared to patients who start cART during chronic infection. We conducted a pilot study to determine whether these properties would allow sustained virological suppression after simplification of cART to dolutegravir monotherapy. METHODS EARLY-SIMPLIFIED is a randomized, open-label, noninferiority trial. Patients who started cART <180 days after a documented primary HIV-1 infection and had an HIV-1 RNA <50 copies/mL plasma for at least 48 weeks were randomized (2:1) to monotherapy with dolutegravir 50 mg once daily or to continuation of cART. The primary efficacy endpoint was the proportion of patients with <50 HIV-1 RNA copies/mL on or before week 48; noninferiority margin 10%. RESULTS Of the 101 patients randomized, 68 were assigned to simplification to dolutegravir monotherapy and 33 to continuation of cART. At week 48 in the per-protocol population, 67/67 (100%) had virological response in the dolutegravir monotherapy group vs 32/32 (100%) in the cART group (difference, 0.00%; 95% confidence interval, -100%, 4.76%). This showed noninferiority of the dolutegravir monotherapy at the prespecified level. CONCLUSION In this pilot study consisting of patients who initiated cART during primary HIV-1 infection and had <50 HIV-1 RNA copies/mL for at least 48 weeks, monotherapy with once-daily dolutegravir was noninferior to cART. Our results suggest that future simplification studies should use a stratification according to time of HIV infection and start of first cART. CLINICAL TRIALS REGISTRATION NCT02551523.
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Affiliation(s)
- Dominique L Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Switzerland
| | - Teja Turk
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Switzerland
| | - Fabian Tschumi
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Switzerland
| | - Christina Grube
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Benjamin Hampel
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Switzerland
| | - Carsten Depmeier
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Peter W Schreiber
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Silvio D Brugger
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Michael Greiner
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Daniela Steffens
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Cornelia De Torrenté-Bayard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Perrine Courlet
- Service of Clinical Pharmacology, University Hospital Center, University of Lausanne, Switzerland
| | - Kathrin Neumann
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Herbert Kuster
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Markus Flepp
- Center of Infectious Diseases Zurich, Switzerland
| | - Barbara Bertisch
- Checkpoint Zurich, Switzerland.,Institute of Global Health, University of Geneva, Switzerland
| | - Laurent Decosterd
- Service of Clinical Pharmacology, University Hospital Center, University of Lausanne, Switzerland
| | - Jürg Böni
- Institute of Medical Virology, University of Zurich, Switzerland
| | - Karin J Metzner
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Switzerland
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Switzerland
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15
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Günthard HF, Calvez V, Paredes R, Pillay D, Shafer RW, Wensing AM, Jacobsen DM, Richman DD. Human Immunodeficiency Virus Drug Resistance: 2018 Recommendations of the International Antiviral Society-USA Panel. Clin Infect Dis 2020; 68:177-187. [PMID: 30052811 PMCID: PMC6321850 DOI: 10.1093/cid/ciy463] [Citation(s) in RCA: 124] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Accepted: 05/28/2018] [Indexed: 12/16/2022] Open
Abstract
Background Contemporary antiretroviral therapies (ART) and management strategies have diminished both human immunodeficiency virus (HIV) treatment failure and the acquired resistance to drugs in resource-rich regions, but transmission of drug-resistant viruses has not similarly decreased. In low- and middle-income regions, ART roll-out has improved outcomes, but has resulted in increasing acquired and transmitted resistances. Our objective was to review resistance to ART drugs and methods to detect it, and to provide updated recommendations for testing and monitoring for drug resistance in HIV-infected individuals. Methods A volunteer panel of experts appointed by the International Antiviral (formerly AIDS) Society–USA reviewed relevant peer-reviewed data that were published or presented at scientific conferences. Recommendations were rated according to the strength of the recommendation and quality of the evidence, and reached by full panel consensus. Results Resistance testing remains a cornerstone of ART. It is recommended in newly-diagnosed individuals and in patients in whom ART has failed. Testing for transmitted integrase strand-transfer inhibitor resistance is currently not recommended, but this may change as more resistance emerges with widespread use. Sanger-based and next-generation sequencing approaches are each suited for genotypic testing. Testing for minority variants harboring drug resistance may only be considered if treatments depend on a first-generation nonnucleoside analogue reverse transcriptase inhibitor. Different HIV-1 subtypes do not need special considerations regarding resistance testing. Conclusions Testing for HIV drug resistance in drug-naive individuals and in patients in whom antiretroviral drugs are failing, and the appreciation of the role of testing, are crucial to the prevention and management of failure of ART.
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Affiliation(s)
- Huldrych F Günthard
- University Hospital Zürich and Institute of Medical Virology, University of Zurich, Switzerland
| | - Vincent Calvez
- Pierre et Marie Curie University and Pitié-Salpêtriere Hospital, Paris, France
| | - Roger Paredes
- Infectious Diseases Service and IrsiCaixa AIDS Research Institute, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.,Africa Health Research Institute, KwaZulu Natal, South Africa
| | | | | | | | | | - Douglas D Richman
- Veterans Affairs San Diego Healthcare System and University of California San Diego
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16
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Braun DL, Marzel A, Steffens D, Schreiber PW, Grube C, Scherrer AU, Kouyos RD, Günthard HF. High Rates of Subsequent Asymptomatic Sexually Transmitted Infections and Risky Sexual Behavior in Patients Initially Presenting With Primary Human Immunodeficiency Virus-1 Infection. Clin Infect Dis 2019; 66:735-742. [PMID: 29028966 DOI: 10.1093/cid/cix873] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Accepted: 10/03/2017] [Indexed: 12/19/2022] Open
Abstract
Background Knowledge of the risk factors of individuals with an asymptomatic sexually transmitted infection (STI) is essential for implementation of targeted STI screening strategies. Methods Between June 2015 and January 2017, an STI screening was offered to all participants in the Zurich Primary human immunodeficiency virus (HIV)-1 Infection study. Patients were tested for gonorrhea, chlamydia, syphilis, and hepatitis C virus (HCV). Results Of 214 participants, 174 (81%) were screened at least once. Most patients were men who have sex with men (MSM) (87.4%). Presenting with a primary HIV infection was associated with higher odds for later risky sexual behavior, as compared with presenting in the chronic phase (odds ratio [OR], 5.58; 95% confidence interval [CI], 3.68-8.8). In total, 79 STIs were detected, reflecting a high period prevalence of 33.3% (58 of 174 patients). Sixty-six percent of patients (52 of 79) were asymptomatic. Most common STIs were chlamydia (50.6%; 40 of 79 patients), gonorrhea (25.3%; 20 of 79), and syphilis (19%; 15 of 79). In a multivariable model, engaging in insertive (OR, 6.48; 95% CI, 1.14-36.76) or both insertive and receptive (4.61; 1.01-20.96) anal intercourse, STI symptoms (3.4; 1.68-6.89), and condomless sex (2.06; 1.14-3.74) were positively correlated with a positive screening result. The hazard of an incident STI increased with the presence of STI symptoms (hazard ratio, 3.03; 95% CI, 1.17-7.84) and any recent drug use (2.63; 1-6.9). Conclusions A trimonthly STI screening including asymptomatic individuals should be considered in this population, particularly in MSM who report sexual risk behavior. Clinical Trial Registration NCT 00537966.
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Affiliation(s)
- Dominique L Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich
- Institute of Medical Virology, University of Zurich, Switzerland
| | - Alex Marzel
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich
| | - Daniela Steffens
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich
| | - Peter W Schreiber
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich
- Institute of Medical Virology, University of Zurich, Switzerland
| | - Christina Grube
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich
| | - Alexandra U Scherrer
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich
- Institute of Medical Virology, University of Zurich, Switzerland
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich
- Institute of Medical Virology, University of Zurich, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich
- Institute of Medical Virology, University of Zurich, Switzerland
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17
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Mbunkah HA, Marzel A, Schmutz S, Kok YL, Zagordi O, Shilaih M, Nsanwe NN, Mbu ET, Besong LM, Sama BA, Orock E, Kouyos RD, Günthard HF, Metzner KJ. Low prevalence of transmitted HIV-1 drug resistance detected by a dried blood spot (DBS)-based next-generation sequencing (NGS) method in newly diagnosed individuals in Cameroon in the years 2015-16. J Antimicrob Chemother 2019; 73:1917-1929. [PMID: 29635462 DOI: 10.1093/jac/dky103] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Accepted: 03/02/2018] [Indexed: 11/13/2022] Open
Abstract
Objectives To determine the most recent prevalence, transmission patterns and risk factors of transmitted drug-resistance mutations (TDRMs) in Cameroon, we initiated a multicentre study monitoring HIV-1 drug resistance in newly HIV-1-diagnosed individuals using a novel next-generation sequencing (NGS) assay applicable to fingerprick dried blood spot (DBS) samples. Methods Fingerprick DBS samples and questionnaires were collected from 360 newly HIV-1-diagnosed individuals in four hospitals in urban areas in Cameroon in the years 2015-16. We developed an HIV-1 protease and reverse transcriptase drug resistance genotyping assay applicable to DBS samples and HIV-1 genomes of groups M, N and O. The WHO 2009 list of mutations for surveillance of transmitted drug-resistant HIV strains was used to analyse TDRMs. Results Applying our 'DBS-NGS-genotypic resistance test', baseline HIV-1 drug resistance data were successfully obtained from 82.8% (298/360) of newly diagnosed individuals. At nucleotide frequencies >15%, TDRMs to NRTIs were observed in 3.0% (9/298), to NNRTIs in 4.0% (12/298) and to PIs in 1.3% (3/240). The NNRTI mutation K103N was most commonly detected (2.7%). Expanding the analysis to low-abundance TDRMs, i.e. 3%-15%, 12 additional individuals (4.0%) harbouring TDRMs were identified. Having unprotected sex with a known HIV-1-positive person was significantly associated with the transmission of DRMs (adjusted OR 9.6; 95% CI 1.79-51.3). Conclusions The prevalence of transmitted HIV-1 drug resistance is currently low in the study sites in Cameroon. Evidence of some risky sexual behaviours depicts a public health problem with possible implications for the prevention of new HIV-1 infections.
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Affiliation(s)
- Herbert A Mbunkah
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, CH-8091 Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland.,Life Science Zurich Graduate School, Microbiology and Immunology PhD Programme, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland
| | - Alex Marzel
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, CH-8091 Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland
| | - Stefan Schmutz
- Institute of Medical Virology, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland
| | - Yik Lim Kok
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, CH-8091 Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland
| | - Osvaldo Zagordi
- Institute of Medical Virology, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland
| | - Mohaned Shilaih
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, CH-8091 Zurich, Switzerland
| | - Ndi N Nsanwe
- Regional Hospital Bamenda, PO Box 863, Mankon-Bamenda, Cameroon
| | - Eyongetah T Mbu
- Regional Hospital Bamenda, PO Box 863, Mankon-Bamenda, Cameroon
| | - Lydia M Besong
- District Hospital Kumba, Meme Division, South-West Region, Cameroon
| | - Bella A Sama
- District Hospital Ndop, Ngoketunjia Division, North-West Region, Cameroon
| | - Emmanuel Orock
- Regional Hospital Ngaoundere, Avenue Rue Ahidjo Ngaoundéré, Adamawa, Cameroon
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, CH-8091 Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, CH-8091 Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland
| | - Karin J Metzner
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, CH-8091 Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland
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18
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Giacomelli A, Fabbiani M, De Benedetto I, Nozza S, Focà E, Celesia BM, Marchetti G, Mussini C, Antinori A, d'Ettorre G, Madeddu G, Bandera A, Muscatello A, Rusconi S. Impact of genotypic susceptibility score on cART outcomes during primary HIV infection. J Med Virol 2019; 91:1891-1895. [PMID: 31199538 DOI: 10.1002/jmv.25517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 06/03/2019] [Indexed: 11/12/2022]
Abstract
To assess the impact of genotypic susceptibility score (GSS) on combined antiretroviral therapy (cART) outcomes during primary HIV infection (PHI) we retrospectively enrolled patients with PHI diagnosed between 2008 and 2015 at 9/24 Italian Network ACuTe HIV InfectiON centers. One hundred-seventy-six patients were enrolled. Of these, 55 (32.9%) patients started with more than three drugs and 11 (7.2%) started with a GSS < 3. Regimen's GSS (per 1 point increase) (adjusted odds ratio [aOR], 4.82; 95% confidence interval [CI], 1.62-14.28; P = .005) and baseline HIV-RNA (per 1 log10 increase) (aOR, 2.02; 95% CI, 1.09-3.73; P = .025) resulted associated with early cART initiation. In conclusion, regimen's GSS resulted to be associated to the time to cART initiation during PHI.
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Affiliation(s)
- Andrea Giacomelli
- Divisione Malattie Infettive, DIBIC Luigi Sacco, Università degli Studi di Milano, Milan, Italy
| | | | - Ilaria De Benedetto
- Divisione Malattie Infettive, Ospedale Amedeo di Savoia, Università di Torino, Turin, Italy
| | - Silvia Nozza
- Divisione Malattie Infettive, Ospedale San Raffaele IRCCS, Università Vita-Salute, Milan, Italy
| | - Emanuele Focà
- Divisione Malattie Infettive, Spedali Civili, Università degli Studi di Brescia, Brescia, Italy
| | | | - Giulia Marchetti
- Divisione Malattie Infettive, Dipartimento di Scienze della Salute, Università degli Studi di Milano
| | - Cristina Mussini
- Divisione Malattie Infettive, Università degli Studi di Modena e Reggio Emilia, Modena
| | - Andrea Antinori
- U.O.C. Immunodeficienze virali, Istituto Nazionale per le Malattie Infettive Lazzaro Spallanzani, IRCCS, Roma
| | | | - Giordano Madeddu
- Divisione Malattie Infettive, Università degli Studi di Sassari, Italy
| | - Alessandra Bandera
- Divisione Malattie Infettive IRCCS Ca' Granda Ospedale Maggiore Policlinico, Università degli Studi di Milano
| | - Antonio Muscatello
- Divisione Malattie Infettive IRCCS Ca' Granda Ospedale Maggiore Policlinico, Università degli Studi di Milano
| | - Stefano Rusconi
- Divisione Malattie Infettive, DIBIC Luigi Sacco, Università degli Studi di Milano, Milan, Italy
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19
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Liechti T, Kadelka C, Braun DL, Kuster H, Böni J, Robbiani M, Günthard HF, Trkola A. Widespread B cell perturbations in HIV-1 infection afflict naive and marginal zone B cells. J Exp Med 2019; 216:2071-2090. [PMID: 31221742 PMCID: PMC6719425 DOI: 10.1084/jem.20181124] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Revised: 02/07/2019] [Accepted: 05/24/2019] [Indexed: 12/18/2022] Open
Abstract
Liechti et al. demonstrate severe B cell perturbations in HIV-1 infection beyond described effects on memory B cells. Naive and marginal zone B cells down-regulate CD21 and display chemokine receptor and activation marker signatures associated with inflammation and diminished response to stimulation. Perturbations in B cells are a hallmark of HIV-1 infection. This is signified by increased numbers of exhausted CD21neg memory B cells, driven by continuous antigen-specific and bystander activation. Using high-dimensional flow cytometry, we demonstrate that this exhausted phenotype is also prevalent among peripheral antigen-inexperienced naive and marginal zone (MZ) B cells in acute and chronic HIV-1 infection. A substantial fraction of naive and MZ B cells exhibit down-regulated CD21 levels and diminished response to B cell receptor (BCR)–dependent stimulation. Compared with CD21pos subsets, the CD21neg naive and MZ B cells differ in the expression of chemokine receptors and activation markers. Effective antiretroviral treatment normalizes peripheral naive and MZ B cell populations. Our results emphasize a more widely spread impairment of B cells in HIV-1 infection than previously appreciated, including antigen-inexperienced cells. This highlights the importance of monitoring functional capacities of naive B cells in HIV-1 infection, as exhausted CD21neg naive B cells may severely impair induction of novel B cell responses.
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Affiliation(s)
- Thomas Liechti
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Claus Kadelka
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Dominique L Braun
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Herbert Kuster
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Jürg Böni
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Melissa Robbiani
- Center for Biomedical Research, Population Council, New York, NY
| | - Huldrych F Günthard
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Alexandra Trkola
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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20
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Abstract
HIV is one of the fastest evolving organisms known. It evolves about 1 million times faster than its host, humans. Because HIV establishes chronic infections, with continuous evolution, its divergence within a single infected human surpasses the divergence of the entire humanoid history. Yet, it is still the same virus, infecting the same cell types and using the same replication machinery year after year. Hence, one would think that most mutations that HIV accumulates are neutral. But the picture is more complicated than that. HIV evolution is also a clear example of strong positive selection, that is, mutants have a survival advantage. How do these facts come together?
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Affiliation(s)
- Thomas Leitner
- Theoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, NM
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21
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Abstract
HIV-1 env sequencing enables predictions of viral coreceptor tropism and phylogenetic investigations of transmission events. The aim of the study was to estimate the contribution of non-R5 strains to the viral spread in Poland. Partial proviral env sequences were retrieved from baseline blood samples of patients with newly diagnosed HIV-1 infection between 2008-2014, including 46 patients with recent HIV-1 infection (RHI), and 246 individuals with long-term infection (LTHI). These sequences were subjected to the genotypic coreceptor tropism predictions and phylogenetic analyses to identify transmission clusters. Overall, 27 clusters with 57 sequences (19.5%) were detected, including 15 sequences (26.3%) from patients with RHI. The proportion of non-R5 strains among all study participants was 23.3% (68/292), and was comparable between patients with RHI and LTHI (11/46, 23.9% vs 57/246, 23.2%; p = 1.000). All 11 patients with non-R5 strains and RHI were men having sex with men (MSM). Among these patients, 4 had viral sequences grouped within phylogenetic cluster with another sequence of non-R5 strain obtained from patient with LTHI, indicating potential acquisition of non-R5 HIV-1 for at least 4/46 (8.7%) patients with RHI. We were unable to confirm the contribution of patients with RHI to the forward transmission of non-R5 strains, but a relatively high proportion of non-R5 strains among them deserves attention due to the limited susceptibility to CCR5 antagonists.
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22
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Leite TF, Delatorre E, Côrtes FH, Ferreira ACG, Cardoso SW, Grinsztejn B, de Andrade MM, Veloso VG, Morgado MG, Guimarães ML. Reduction of HIV-1 Reservoir Size and Diversity After 1 Year of cART Among Brazilian Individuals Starting Treatment During Early Stages of Acute Infection. Front Microbiol 2019; 10:145. [PMID: 30804915 PMCID: PMC6378917 DOI: 10.3389/fmicb.2019.00145] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Accepted: 01/21/2019] [Indexed: 01/13/2023] Open
Abstract
The aim of early combined antiretroviral therapy (cART) of HIV is to limit the seeding of the viral reservoir during the initial phase of infection and, consequently, decrease intrahost viral diversity. Here, we assessed the effect of early cART on size and complexity of the proviral reservoir. Peripheral blood mononuclear cell (PBMC) and plasma samples were obtained from ten HIV-infected Brazilian individuals diagnosed at the acute phase of infection, before (PREART) and 12 months (M12ART) after suppressive cART. HIV proviral reservoir size was determined by quantitative real-time PCR; intrahost viral diversity of the env C2-V3 region was assessed by single genome amplification or next-generation sequencing in PBMC and plasma, respectively. Mean nucleotide diversity (π) and normalized Shannon entropy (HSN) were used to infer the complexity of the viral population. Compared to PREART, M12ART saw an immunological recovery with a gain of ∼200 CD4+ T cells (P = 0.008) and a normalization of the CD4/CD8 ratio [1.0 (IQR: 0.88–1.18), P = 0.016], as well as a significant decrease in HIV-1 RNA (∼4 log, P = 0.004) and DNA (∼1 log, P = 0.002) levels. The median time to achieve viral suppression was 3 months (IQR: 2.8–5.8 months). The high intermixing between sequences from both visits suggests that the HIV-1 DNA reservoir remained remarkably stable under cART. After 1 year of cART, there was a minor reduction in proviral π (PreART = 0.20 vs. M12ART = 0.10; P = 0.156) but a significant decrease in HSN (PreART = 0.41 vs. M12ART = 0.25; P = 0.019). We found no correlation between π or HSN at PreART and the rate of HIV DNA decay, T CD4+ counts, or CD4/CD8 ratio at M12ART. Based on a small cohort of Brazilian infected individuals under early cART and analyses of the env region, 1 year of follow-up suggested a reservoir size reduction, allowed a significant decrease of HIV-1 complexity, and achieved immunological restoration regardless of the initial HIV-1 plasma viral load, CD4+ T cell counts, or HIV-1 subtype. However, further studies in the Brazilian setting aiming a longer follow-up and larger cohort are required in this field.
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Affiliation(s)
- Thaysse Ferreira Leite
- Laboratório de AIDS e Imunologia Molecular, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Edson Delatorre
- Laboratório de AIDS e Imunologia Molecular, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Fernanda Heloise Côrtes
- Laboratório de AIDS e Imunologia Molecular, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Ana Cristina Garcia Ferreira
- Laboratório de Pesquisa Clínica em DST e AIDS, Instituto Nacional de Infectologia Evandro Chagas, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Sandra Wagner Cardoso
- Laboratório de Pesquisa Clínica em DST e AIDS, Instituto Nacional de Infectologia Evandro Chagas, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Beatriz Grinsztejn
- Laboratório de Pesquisa Clínica em DST e AIDS, Instituto Nacional de Infectologia Evandro Chagas, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Michelle Morata de Andrade
- Laboratório de Pesquisa Clínica em DST e AIDS, Instituto Nacional de Infectologia Evandro Chagas, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Valdilea Gonçalves Veloso
- Laboratório de Pesquisa Clínica em DST e AIDS, Instituto Nacional de Infectologia Evandro Chagas, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Mariza Gonçalves Morgado
- Laboratório de AIDS e Imunologia Molecular, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Monick Lindenmeyer Guimarães
- Laboratório de AIDS e Imunologia Molecular, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
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Rapid CD4+ T-cell decline is associated with coreceptor switch among MSM primarily infected with HIV-1 CRF01_AE in Northeast China. AIDS 2019; 33:13-22. [PMID: 30102662 DOI: 10.1097/qad.0000000000001981] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE CRF01_AE is the most prevalent HIV-1 subtype among MSM in China. However, the characteristics and underlying mechanism of the accelerated CD4 T-cell decline in CRF01_AE-infected MSM remain incompletely understood. DESIGN A long-term prospective follow-up study was conducted with 1388 MSM at risk of HIV-1 infection in Northeast China. MSM with primary HIV-1 CRF01_AE infection were identified and followed for 3-6 years to explore the determinants of rapid CD4 T-cell decline. METHODS Tropism was determined in primary infection by both single genome amplification-based genotypic prediction using four different algorithms and phenotypic determination using clinical isolates. Serial isolates were used to determine phenotype of coreceptor switch. Human leukocyte antigen genotypes and T-cell activation markers were determined. RESULTS Fifty-nine MSM primarily infected with HIV-1 CRF01_AE were discovered and recruited for the follow-up study. CCR5-utilizing (R5) viruses accounted for up to 98% of HIV-1 CRF01_AE infections in Northeast China. Survival analysis indicated 39.5% of the patients underwent coreceptor switch within 3 years after infection. After adjustment for other potential risk factors, linear mixed-effect models demonstrated patients experienced R5 to CXCR4-utilizing/dual-tropic (X4/DM) coreceptor switch within 3 years after infection underwent a faster CD4 T-cell decline compared to those without coreceptor switch. CONCLUSIONS Primary HIV-1 CRF01_AE infection among MSM in Northeast China is characterized by R5 viral infection and early R5 to X4/DM coreceptor switch, which is associated with rapid CD4 T-cell decline. The findings highlight the importance of immediate treatment among the CRF01_AE-infected MSM.
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24
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Tracing HIV-1 strains that imprint broadly neutralizing antibody responses. Nature 2018; 561:406-410. [PMID: 30202088 DOI: 10.1038/s41586-018-0517-0] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Accepted: 08/09/2018] [Indexed: 11/08/2022]
Abstract
Understanding the determinants of broadly neutralizing antibody (bNAb) evolution is crucial for the development of bNAb-based HIV vaccines1. Despite emerging information on cofactors that promote bNAb evolution in natural HIV-1 infections, in which the induction of bNAbs is genuinely rare2, information on the impact of the infecting virus strain on determining the breadth and specificity of the antibody responses to HIV-1 is lacking. Here we analyse the influence of viral antigens in shaping antibody responses in humans. We call the ability of a virus strain to induce similar antibody responses across different hosts its antibody-imprinting capacity, which from an evolutionary biology perspective corresponds to the viral heritability of the antibody responses. Analysis of 53 measured parameters of HIV-1-binding and neutralizing antibody responses in a cohort of 303 HIV-1 transmission pairs (individuals who harboured highly related HIV-1 strains and were putative direct transmission partners or members of an HIV-1 transmission chain) revealed that the effect of the infecting virus on the outcome of the bNAb response is moderate in magnitude but highly significant. We introduce the concept of bNAb-imprinting viruses and provide evidence for the existence of such viruses in a systematic screening of our cohort. The bNAb-imprinting capacity can be substantial, as indicated by a transmission pair with highly similar HIV-1 antibody responses and strong bNAb activity. Identification of viruses that have bNAb-imprinting capacities and their characterization may thus provide the potential to develop lead immunogens.
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25
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Leitner T, Romero-Severson E. Phylogenetic patterns recover known HIV epidemiological relationships and reveal common transmission of multiple variants. Nat Microbiol 2018; 3:983-988. [PMID: 30061758 PMCID: PMC6442454 DOI: 10.1038/s41564-018-0204-9] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Accepted: 06/22/2018] [Indexed: 11/09/2022]
Abstract
The growth of human immunodeficiency virus (HIV) sequence databases resulting from drug resistance testing has motivated efforts using phylogenetic methods to assess how HIV spreads1-4. Such inference is potentially both powerful and useful for tracking the epidemiology of HIV and the allocation of resources to prevention campaigns. We recently used simulation and a small number of illustrative cases to show that certain phylogenetic patterns are associated with different types of epidemiological linkage5. Our original approach was later generalized for large next-generation sequencing datasets and implemented as a free computational pipeline6. Previous work has claimed that direction and directness of transmission could not be established from phylogeny because one could not be sure that there were no intervening or missing links involved7-9. Here, we address this issue by investigating phylogenetic patterns from 272 previously identified HIV transmission chains with 955 transmission pairs representing diverse geography, risk groups, subtypes, and genomic regions. These HIV transmissions had known linkage based on epidemiological information such as partner studies, mother-to-child transmission, pairs identified by contact tracing, and criminal cases. We show that the resulting phylogeny inferred from real HIV genetic sequences indeed reveals distinct patterns associated with direct transmission contra transmissions from a common source. Thus, our results establish how to interpret phylogenetic trees based on HIV sequences when tracking who-infected-whom, when and how genetic information can be used for improved tracking of HIV spread. We also investigate limitations that stem from limited sampling and genetic time-trends in the donor and recipient HIV populations.
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Affiliation(s)
- Thomas Leitner
- Theoretical Biology and Biophysics Group, MS K710, Los Alamos National Laboratory, Los Alamos, NM, USA.
| | - Ethan Romero-Severson
- Theoretical Biology and Biophysics Group, MS K710, Los Alamos National Laboratory, Los Alamos, NM, USA
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26
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Kadelka C, Liechti T, Ebner H, Schanz M, Rusert P, Friedrich N, Stiegeler E, Braun DL, Huber M, Scherrer AU, Weber J, Uhr T, Kuster H, Misselwitz B, Cavassini M, Bernasconi E, Hoffmann M, Calmy A, Battegay M, Rauch A, Yerly S, Aubert V, Klimkait T, Böni J, Kouyos RD, Günthard HF, Trkola A. Distinct, IgG1-driven antibody response landscapes demarcate individuals with broadly HIV-1 neutralizing activity. J Exp Med 2018; 215:1589-1608. [PMID: 29794117 PMCID: PMC5987927 DOI: 10.1084/jem.20180246] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 03/22/2018] [Accepted: 05/01/2018] [Indexed: 12/30/2022] Open
Abstract
Kadelka et al. show that parameters linked with HIV-1 broadly neutralizing antibody (bnAb) development shape HIV-1–binding antibody responses in an antigen and IgG subclass dependent manner. Identified HIV-1 antibody signature landscapes reveal a shift toward IgG1-driven responses in bnAb developers. Understanding pathways that promote HIV-1 broadly neutralizing antibody (bnAb) induction is crucial to advance bnAb-based vaccines. We recently demarcated host, viral, and disease parameters associated with bnAb development in a large HIV-1 cohort screen. By establishing comprehensive antibody signatures based on IgG1, IgG2, and IgG3 activity to 13 HIV-1 antigens in 4,281 individuals in the same cohort, we now show that the same four parameters that are significantly linked with neutralization breadth, namely viral load, infection length, viral diversity, and ethnicity, also strongly influence HIV-1–binding antibody responses. However, the effects proved selective, shaping binding antibody responses in an antigen and IgG subclass–dependent manner. IgG response landscapes in bnAb inducers indicated a differentially regulated, IgG1-driven HIV-1 antigen response, and IgG1 binding of the BG505 SOSIP trimer proved the best predictor of HIV-1 neutralization breadth in plasma. Our findings emphasize the need to unravel immune modulators that underlie the differentially regulated IgG response in bnAb inducers to guide vaccine development.
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Affiliation(s)
- Claus Kadelka
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Thomas Liechti
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Hanna Ebner
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Merle Schanz
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Peter Rusert
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Nikolas Friedrich
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Emanuel Stiegeler
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Dominique L Braun
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Michael Huber
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Alexandra U Scherrer
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Jacqueline Weber
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Therese Uhr
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Herbert Kuster
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Benjamin Misselwitz
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Matthias Cavassini
- University Hospital Lausanne, University of Lausanne, Lausanne, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital of Lugano, Lugano, Switzerland
| | - Matthias Hoffmann
- Division of Infectious Diseases, Cantonal Hospital of St. Gallen, St. Gallen, Switzerland
| | - Alexandra Calmy
- Division of Infectious Diseases, University Hospital of Geneva, Geneva, Switzerland
| | - Manuel Battegay
- Division of Infectious Diseases, University Hospital of Basel, Basel, Switzerland
| | - Andri Rauch
- Department of Infectious Diseases, University Hospital of Bern, Bern, Switzerland
| | - Sabine Yerly
- Laboratory of Virology, Division of Infectious Diseases, Geneva University Hospital, Geneva, Switzerland
| | - Vincent Aubert
- Division of Immunology and Allergy, University Hospital Lausanne, Lausanne, Switzerland
| | - Thomas Klimkait
- Department of Biomedicine-Petersplatz, University of Basel, Basel, Switzerland
| | - Jürg Böni
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Roger D Kouyos
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland .,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Huldrych F Günthard
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland .,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Alexandra Trkola
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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Stekler JD, Milne R, Payant R, Beck I, Herbeck J, Maust B, Deng W, Tapia K, Holte S, Maenza J, Stevens CE, Mullins JI, Collier AC, Frenkel LM. Transmission of HIV-1 drug resistance mutations within partner-pairs: A cross-sectional study of a primary HIV infection cohort. PLoS Med 2018; 15:e1002537. [PMID: 29584723 PMCID: PMC5870941 DOI: 10.1371/journal.pmed.1002537] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2017] [Accepted: 02/16/2018] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Transmission of human immunodeficiency virus type 1 (HIV-1) drug resistance mutations, particularly that of minority drug-resistant variants, remains poorly understood. Population-based studies suggest that drug-resistant HIV-1 is less transmissible than drug-susceptible viruses. We compared HIV-1 drug-resistant genotypes among partner-pairs in order to assess the likelihood of transmission of drug resistance mutations and investigate the role of minority variants in HIV transmission. METHODS AND FINDINGS From 1992-2010, 340 persons with primary HIV-1 infection and their partners were enrolled into observational research studies at the University of Washington Primary Infection Clinic (UWPIC). Out of 50 partner-pairs enrolled, 36 (72%) transmission relationships were confirmed by phylogenetic distance analysis of HIV-1 envelope (env) sequences, and 31 partner-pairs enrolled after 1995 met criteria for this study. Drug resistance mutations in the region of the HIV-1 polymerase gene (pol) that encodes protease and reverse transcriptase were assessed by 454-pyrosequencing. In 25 partner-pairs where the transmission direction could be determined, 12 (48%) transmitters had 1-4 drug resistance mutations (23 total) detected in their HIV-1 populations at a median frequency of 6.0% (IQR 1.5%-98.7%, range 1.0%-99.6%). Of 10 major mutations detected in five transmitters at a frequency >95%, 100% (95% CI 69.2%-100%) were detected in recipients. All of these transmitters were antiretroviral (ARV)-naïve at the time of specimen collection. Fourteen mutations (eight major mutations and six accessory mutations) were detected in nine transmitters at low frequencies (1.0%-11.8%); four of these transmitters had previously received ARV therapy. Two (14% [95% CI 1.8%-42.8%]) G73S accessory mutations were detected in both transmitter and recipient. This number is not significantly different from the number expected based on the observed frequencies of drug-resistant viruses in transmitting partners. Limitations of this study include the small sample size and uncertainties in determining the timing of virus transmission and mutation history. CONCLUSIONS Drug-resistant majority variants appeared to be commonly transmitted by ARV-naïve participants in our analysis and may contribute significantly to transmitted drug resistance on a population level. When present at low frequency, no major mutation was observed to be shared between partner-pairs; identification of accessory mutations shared within a pair could be due to transmission, laboratory artifact, or apolipoprotein B mRNA-editing enzyme, catalytic polypeptides (APOBECs), and warrants further study.
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Affiliation(s)
- Joanne D. Stekler
- University of Washington, Seattle, Washington, United States of America
- * E-mail:
| | - Ross Milne
- University of Washington, Seattle, Washington, United States of America
- Seattle Children’s Research Institute, Seattle, Washington, United States of America
| | - Rachel Payant
- Seattle Children’s Research Institute, Seattle, Washington, United States of America
| | - Ingrid Beck
- Seattle Children’s Research Institute, Seattle, Washington, United States of America
| | - Joshua Herbeck
- University of Washington, Seattle, Washington, United States of America
| | - Brandon Maust
- University of Washington, Seattle, Washington, United States of America
| | - Wenjie Deng
- University of Washington, Seattle, Washington, United States of America
| | - Kenneth Tapia
- University of Washington, Seattle, Washington, United States of America
| | - Sarah Holte
- University of Washington, Seattle, Washington, United States of America
- Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Janine Maenza
- University of Washington, Seattle, Washington, United States of America
| | - Claire E. Stevens
- University of Washington, Seattle, Washington, United States of America
| | - James I. Mullins
- University of Washington, Seattle, Washington, United States of America
| | - Ann C. Collier
- University of Washington, Seattle, Washington, United States of America
| | - Lisa M. Frenkel
- University of Washington, Seattle, Washington, United States of America
- Seattle Children’s Research Institute, Seattle, Washington, United States of America
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28
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Liechti T, Kadelka C, Ebner H, Friedrich N, Kouyos RD, Günthard HF, Trkola A. Development of a high-throughput bead based assay system to measure HIV-1 specific immune signatures in clinical samples. J Immunol Methods 2017; 454:48-58. [PMID: 29277486 DOI: 10.1016/j.jim.2017.12.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Revised: 11/13/2017] [Accepted: 12/18/2017] [Indexed: 10/18/2022]
Abstract
The monitoring and assessment of a broadly neutralizing antibody (bnAb) based HIV-1 vaccine require detailed measurements of HIV-1 binding antibody responses to support the detection of correlates of protection. Here we describe the development of a flexible, high-throughput microsphere based multiplex assay system that allows monitoring complex binding antibody signatures. Studying a panel of 13 HIV-1 antigens in a parallel assessment of different IgG subclasses (IgG1, IgG2 and IgG3) we demonstrate the potential of our strategy. The technical advances we describe include means to improve antigen reactivity using directed neutravidin-biotin immobilization of antigens and biotin saturation to reduce background. A particular emphasis of our study was to provide tools for the assessment of reproducibility and stability of the assay system and strategies to control for variations allowing the application in high-throughput assays, where reliability of single measurements needs to be guaranteed.
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Affiliation(s)
- Thomas Liechti
- Institute of Medical Virology, University of Zurich, Switzerland.
| | - Claus Kadelka
- Institute of Medical Virology, University of Zurich, Switzerland; Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.
| | - Hanna Ebner
- Institute of Medical Virology, University of Zurich, Switzerland.
| | | | - Roger D Kouyos
- Institute of Medical Virology, University of Zurich, Switzerland; Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.
| | - Huldrych F Günthard
- Institute of Medical Virology, University of Zurich, Switzerland; Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.
| | - Alexandra Trkola
- Institute of Medical Virology, University of Zurich, Switzerland.
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Donor-Recipient Identification in Para- and Poly-phyletic Trees Under Alternative HIV-1 Transmission Hypotheses Using Approximate Bayesian Computation. Genetics 2017; 207:1089-1101. [PMID: 28912340 PMCID: PMC5676238 DOI: 10.1534/genetics.117.300284] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Accepted: 09/01/2017] [Indexed: 12/05/2022] Open
Abstract
Diversity of the founding population of Human Immunodeficiency Virus Type 1 (HIV-1) transmissions raises many important biological, clinical, and epidemiological issues. In up to 40% of sexual infections, there is clear evidence for multiple founding variants, which can influence the efficacy of putative prevention methods, and the reconstruction of epidemiologic histories. To infer who-infected-whom, and to compute the probability of alternative transmission scenarios while explicitly taking phylogenetic uncertainty into account, we created an approximate Bayesian computation (ABC) method based on a set of statistics measuring phylogenetic topology, branch lengths, and genetic diversity. We applied our method to a suspected heterosexual transmission case involving three individuals, showing a complex monophyletic-paraphyletic-polyphyletic phylogenetic topology. We detected that seven phylogenetic lineages had been transmitted between two of the individuals based on the available samples, implying that many more unsampled lineages had also been transmitted. Testing whether the lineages had been transmitted at one time or over some length of time suggested that an ongoing superinfection process over several years was most likely. While one individual was found unlinked to the other two, surprisingly, when evaluating two competing epidemiological priors, the donor of the two that did infect each other was not identified by the host root-label, and was also not the primary suspect in that transmission. This highlights that it is important to take epidemiological information into account when analyzing support for one transmission hypothesis over another, as results may be nonintuitive and sensitive to details about sampling dates relative to possible infection dates. Our study provides a formal inference framework to include information on infection and sampling times, and to investigate ancestral node-label states, transmission direction, transmitted genetic diversity, and frequency of transmission.
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30
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Pace of Coreceptor Tropism Switch in HIV-1-Infected Individuals after Recent Infection. J Virol 2017; 91:JVI.00793-17. [PMID: 28659473 DOI: 10.1128/jvi.00793-17] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Accepted: 06/08/2017] [Indexed: 11/20/2022] Open
Abstract
HIV-1 entry into target cells influences several aspects of HIV-1 pathogenesis, including viral tropism, HIV-1 transmission and disease progression, and response to entry inhibitors. The evolution from CCR5- to CXCR4-using strains in a given human host is still unpredictable. Here we analyzed timing and predictors for coreceptor evolution among recently HIV-1-infected individuals. Proviral DNA was longitudinally evaluated in 66 individuals using Geno2pheno[coreceptor] Demographics, viral load, CD4+ and CD8+ T cell counts, CCR5Δ32 polymorphisms, GB virus C (GBV-C) coinfection, and HLA profiles were also evaluated. Ultradeep sequencing was performed on initial samples from 11 selected individuals. A tropism switch from CCR5- to CXCR4-using strains was identified in 9/49 (18.4%) individuals. Only a low baseline false-positive rate (FPR) was found to be a significant tropism switch predictor. No minor CXCR4-using variants were identified in initial samples of 4 of 5 R5/non-R5 switchers. Logistic regression analysis showed that patients with an FPR of >40.6% at baseline presented a stable FPR over time whereas lower FPRs tend to progressively decay, leading to emergence of CXCR4-using strains, with a mean evolution time of 27.29 months (range, 8.90 to 64.62). An FPR threshold above 40.6% determined by logistic regression analysis may make it unnecessary to further determine tropism for prediction of disease progression related to emergence of X4 strains or use of CCR5 antagonists. The detection of variants with intermediate FPRs and progressive FPR decay over time not only strengthens the power of Geno2pheno in predicting HIV tropism but also indirectly confirms a continuous evolution from earlier R5 variants toward CXCR4-using strains.IMPORTANCE The introduction of CCR5 antagonists in the antiretroviral arsenal has sparked interest in coreceptors utilized by HIV-1. Despite concentrated efforts, viral and human host features predicting tropism switch are still poorly understood. Limited longitudinal data are available to assess the influence that these factors have on predicting tropism switch and disease progression. The present study describes longitudinal tropism evolution in a group of recently HIV-infected individuals to determine the prevalence and potential correlates of tropism switch. We demonstrated here that a low baseline FPR determined by the Geno2pheno[coreceptor] algorithm can predict tropism evolution from CCR5 to CXCR4 coreceptor use.
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31
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Brandenberg OF, Magnus C, Rusert P, Günthard HF, Regoes RR, Trkola A. Predicting HIV-1 transmission and antibody neutralization efficacy in vivo from stoichiometric parameters. PLoS Pathog 2017; 13:e1006313. [PMID: 28472201 PMCID: PMC5417720 DOI: 10.1371/journal.ppat.1006313] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Accepted: 03/24/2017] [Indexed: 01/08/2023] Open
Abstract
The potential of broadly neutralizing antibodies targeting the HIV-1 envelope trimer to prevent HIV-1 transmission has opened new avenues for therapies and vaccines. However, their implementation remains challenging and would profit from a deepened mechanistic understanding of HIV-antibody interactions and the mucosal transmission process. In this study we experimentally determined stoichiometric parameters of the HIV-1 trimer-antibody interaction, confirming that binding of one antibody is sufficient for trimer neutralization. This defines numerical requirements for HIV-1 virion neutralization and thereby enables mathematical modelling of in vitro and in vivo antibody neutralization efficacy. The model we developed accurately predicts antibody efficacy in animal passive immunization studies and provides estimates for protective mucosal antibody concentrations. Furthermore, we derive estimates of the probability for a single virion to start host infection and the risks of male-to-female HIV-1 transmission per sexual intercourse. Our work thereby delivers comprehensive quantitative insights into both the molecular principles governing HIV-antibody interactions and the initial steps of mucosal HIV-1 transmission. These insights, alongside the underlying, adaptable modelling framework presented here, will be valuable for supporting in silico pre-trial planning and post-hoc evaluation of HIV-1 vaccination or antibody treatment trials.
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Affiliation(s)
| | - Carsten Magnus
- Institute of Medical Virology, University of Zürich, Zurich, Switzerland
| | - Peter Rusert
- Institute of Medical Virology, University of Zürich, Zurich, Switzerland
| | - Huldrych F. Günthard
- Institute of Medical Virology, University of Zürich, Zurich, Switzerland
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Roland R. Regoes
- Institute of Integrative Biology, ETH Zurich, Zurich, Switzerland
| | - Alexandra Trkola
- Institute of Medical Virology, University of Zürich, Zurich, Switzerland
- * E-mail:
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32
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Kariuki SM, Selhorst P, Ariën KK, Dorfman JR. The HIV-1 transmission bottleneck. Retrovirology 2017; 14:22. [PMID: 28335782 PMCID: PMC5364581 DOI: 10.1186/s12977-017-0343-8] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2017] [Accepted: 03/05/2017] [Indexed: 02/07/2023] Open
Abstract
It is well established that most new systemic infections of HIV-1 can be traced back to one or a limited number of founder viruses. Usually, these founders are more closely related to minor HIV-1 populations in the blood of the presumed donor than to more abundant lineages. This has led to the widely accepted idea that transmission selects for viral characteristics that facilitate crossing the mucosal barrier of the recipient’s genital tract, although the specific selective forces or advantages are not completely defined. However, there are other steps along the way to becoming a founder virus at which selection may occur. These steps include the transition from the donor’s general circulation to the genital tract compartment, survival within the transmission fluid, and establishment of a nascent stable local infection in the recipient’s genital tract. Finally, there is the possibility that important narrowing events may also occur during establishment of systemic infection. This is suggested by the surprising observation that the number of founder viruses detected after transmission in intravenous drug users is also limited. Although some of these steps may be heavily selective, others may result mostly in a stochastic narrowing of the available founder pool. Collectively, they shape the initial infection in each recipient.
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Affiliation(s)
- Samuel Mundia Kariuki
- Division of Immunology, Department of Pathology, Falmouth 3.25, University of Cape Town, Anzio Rd, Observatory, Cape Town, 7925, South Africa.,International Centre for Genetic Engineering and Biotechnology, Cape Town, South Africa.,Department of Biological Sciences, University of Eldoret, Eldoret, Kenya
| | - Philippe Selhorst
- Division of Medical Virology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Kevin K Ariën
- Virology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.,Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Jeffrey R Dorfman
- Division of Immunology, Department of Pathology, Falmouth 3.25, University of Cape Town, Anzio Rd, Observatory, Cape Town, 7925, South Africa.
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33
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Nemeth J, Vongrad V, Metzner KJ, Strouvelle VP, Weber R, Pedrioli P, Aebersold R, Günthard HF, Collins BC. In Vivo and in Vitro Proteome Analysis of Human Immunodeficiency Virus (HIV)-1-infected, Human CD4 + T Cells. Mol Cell Proteomics 2017; 16:S108-S123. [PMID: 28223351 DOI: 10.1074/mcp.m116.065235] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Revised: 02/03/2017] [Indexed: 01/06/2023] Open
Abstract
Host-directed therapies against HIV-1 are thought to be critical for long term containment of the HIV-1 pandemic but remain elusive. Because HIV-1 infects and manipulates important effectors of both the innate and adaptive immune system, identifying modulations of the host cell systems in humans during HIV-1 infection may be crucial for the development of immune based therapies. Here, we quantified the changes of the proteome in human CD4+ T cells upon HIV-1 infection, both in vitro and in vivo A SWATH-MS approach was used to measure the proteome of human primary CD4+ T cells infected with HIV-1 in vitro as well as CD4+ T cells from HIV-1-infected patients with paired samples on and off antiretroviral treatment. In the in vitro experiment, the proteome of CD4+ T cells was quantified over a time course following HIV-1 infection. 1,725 host cell proteins and 4 HIV-1 proteins were quantified, with 145 proteins changing significantly during the time course. Changes in the proteome peaked 24 h after infection, concomitantly with significant HIV-1 protein production. In the in vivo branch of the study, CD4+ T cells from viremic patients and those with no detectable viral load after treatment were sorted, and the proteomes were quantified. We consistently detected 895 proteins, 172 of which were considered to be significantly different between the viremic patients and patients undergoing successful treatment. The proteome of the in vitro-infected CD4+ T cells was modulated on multiple functional levels, including TLR-4 signaling and the type 1 interferon signaling pathway. Perturbations in the type 1 interferon signaling pathway were recapitulated in CD4+ T cells from patients. The study shows that proteome maps generated by SWATH-MS indicate a range of functionally significant changes in the proteome of HIV-infected human CD4+ T cells. Exploring these perturbations in more detail may help identify new targets for immune based interventions.
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Affiliation(s)
- Johannes Nemeth
- From the ‡Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich 8091.,§Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich CH-8093
| | - Valentina Vongrad
- From the ‡Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich 8091.,‖Institute of Medical Virology, University of Zurich, Zurich 8057, Switzerland
| | - Karin J Metzner
- From the ‡Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich 8091.,‖Institute of Medical Virology, University of Zurich, Zurich 8057, Switzerland
| | - Victoria P Strouvelle
- From the ‡Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich 8091.,‖Institute of Medical Virology, University of Zurich, Zurich 8057, Switzerland
| | - Rainer Weber
- From the ‡Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich 8091
| | - Patrick Pedrioli
- §Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich CH-8093
| | - Ruedi Aebersold
- §Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich CH-8093.,**Faculty of Science, University of Zurich, Zurich 8057; and
| | - Huldrych F Günthard
- From the ‡Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich 8091; .,‖Institute of Medical Virology, University of Zurich, Zurich 8057, Switzerland
| | - Ben C Collins
- §Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich CH-8093;
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HIV-1 Epidemiology, Genetic Diversity, and Primary Drug Resistance in the Tyumen Oblast, Russia. BIOMED RESEARCH INTERNATIONAL 2016; 2016:2496280. [PMID: 27957489 PMCID: PMC5124469 DOI: 10.1155/2016/2496280] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Revised: 09/23/2016] [Accepted: 10/03/2016] [Indexed: 01/10/2023]
Abstract
Introduction. Specific molecular epidemic features of HIV infection in Tyumen Oblast (TO), Russia, were studied. Methods. The genome sequences encoding HIV-1 protease-reverse transcriptase, integrase, and major envelope protein were examined for 72 HIV-1 specimens isolated from the TO resident infected in 2000-2015. Results. The recorded prevalence of HIV-1 subtype A (A1) is 93.1%; HIV-1 subtype B continues to circulate in MSM risk group (1.4%). Solitary instances of HIV-1 recombinant forms, CRF63_02A1 (1.4%) and CRF03_AB (1.4%), were detected as well as two cases of HIV-1 URF63_A1 (2.8%). Phylogenetic analysis showed no HIV-1 clustering according to the duration of infection and risk groups but revealed different epidemic networks confirming that HIV infection spread within local epidemic foci. A high incidence of CXCR4-tropic HIV-1 variants and a higher rate of secondary mutations influencing the virus fitness (K20R, L10V, and I) are observed among the virus specimens isolated from newly infected individuals. Conclusions. The current HIV-1 epidemic in TO develops within the local epidemic networks. Similar to the previous period, HIV-1 subtype A is predominant in TO with sporadic cases of importation of HIV-1 recombinant forms circulating in adjacent areas.
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Castagna A, Monno L, Carta S, Galli L, Carrara S, Fedele V, Punzi G, Fanti I, Caramello P, Lepri AC, De Luca A, Ceccherini-Silberstein F, Monforte AD. Switch of predicted HIV-1 tropism in treated subjects and its association with disease progression. Medicine (Baltimore) 2016; 95:e5222. [PMID: 27858869 PMCID: PMC5591117 DOI: 10.1097/md.0000000000005222] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
Dynamics of human immunodeficiency virus type 1 (HIV-1) tropism after antiretroviral therapy (ART) initiation and their association with disease progression are poorly investigated.This was a cohort study on subjects from the ICONA cohort receiving ART with persistently detectable (PD) or persistently undetectable (PU) viral load (VL) and with stored plasma or peripheral blood mononuclear cell (PBMC) samples at 2 time-points (T1, T2) after ART initiation. HIV-1 co-receptor tropism was determined by V3-loop sequencing and the geno2pheno algorithm. A switch in viral tropism was defined if the tropism classification at T2 differed from that observed at T1. Time to disease progression, defined as the occurrence of a new acquired immune deficiency syndrome (AIDS)-defining event/death from T2, was also evaluated.One hundred ninety-five patients were analyzed (124 PD, 71 PU). Over a median follow-up of 22.6 (19.8-28.1) months, PD and PU patients showed similar rates (95% confidence interval) of switch to a non-R5 virus [PD: 6.9 (3.7-11.2)/100-person-years of follow-up (PYFU); PU: 8.0 (3.4-14.5)/100-PYFU; P = 0.63] and of switch to a R5 virus [PD: 15.4 (7.3-26.4)/100-PYFU; PU: 8.1 (2.5-16.7)/100-PYFU; P = 0.38]. Switch to non-R5 virus was predicted by nadir CD4+ before T1.Twenty-two (18%) PD and 4 (6%) PU subjects experienced disease progression (P = 0.02). The risk of disease progression was independently associated with a switch in co-receptor tropism (adjusted hazard ratio = 4.06, 95% CI: 1.20-13.80, P = 0.03) as well as age, AIDS diagnosis, nadir CD4+ before T2, current CD4+, and VL.Switch of HIV-1 tropism under ART occurs in both directions, with similar rates in subjects with PD or PU VL and it might be predictive of future unfavorable clinical outcome.
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Affiliation(s)
- Antonella Castagna
- San Raffaele Scientific Institute
- Vita-Salute San Raffaele University, Milan
- Correspondence: Antonella Castagna, Department of Infectious Diseases, Vita-Salute San Raffaele University, San Raffaele Scientific Institute, Via Stamira d’Ancona 20, 20127 Milan, Italy (e-mail: )
| | | | - Stefania Carta
- National Institute of Infectious Diseases, L Spallanzani
| | | | | | | | | | - Iuri Fanti
- Catholic University of Sacred Heart, Rome
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Rusert P, Kouyos RD, Kadelka C, Ebner H, Schanz M, Huber M, Braun DL, Hozé N, Scherrer A, Magnus C, Weber J, Uhr T, Cippa V, Thorball CW, Kuster H, Cavassini M, Bernasconi E, Hoffmann M, Calmy A, Battegay M, Rauch A, Yerly S, Aubert V, Klimkait T, Böni J, Fellay J, Regoes RR, Günthard HF, Trkola A. Determinants of HIV-1 broadly neutralizing antibody induction. Nat Med 2016; 22:1260-1267. [PMID: 27668936 DOI: 10.1038/nm.4187] [Citation(s) in RCA: 117] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Accepted: 08/25/2016] [Indexed: 12/11/2022]
Abstract
Broadly neutralizing antibodies (bnAbs) are a focal component of HIV-1 vaccine design, yet basic aspects of their induction remain poorly understood. Here we report on viral, host and disease factors that steer bnAb evolution using the results of a systematic survey in 4,484 HIV-1-infected individuals that identified 239 bnAb inducers. We show that three parameters that reflect the exposure to antigen-viral load, length of untreated infection and viral diversity-independently drive bnAb evolution. Notably, black participants showed significantly (P = 0.0086-0.038) higher rates of bnAb induction than white participants. Neutralization fingerprint analysis, which was used to delineate plasma specificity, identified strong virus subtype dependencies, with higher frequencies of CD4-binding-site bnAbs in infection with subtype B viruses (P = 0.02) and higher frequencies of V2-glycan-specific bnAbs in infection with non-subtype B viruses (P = 1 × 10-5). Thus, key host, disease and viral determinants, including subtype-specific envelope features that determine bnAb specificity, remain to be unraveled and harnessed for bnAb-based vaccine design.
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Affiliation(s)
- Peter Rusert
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Roger D Kouyos
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Claus Kadelka
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Hanna Ebner
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Merle Schanz
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Michael Huber
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Dominique L Braun
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Nathanael Hozé
- Institute of Integrative Biology, Eidgenössische Technische Hochschule (ETH) Zurich, Zurich, Switzerland
| | - Alexandra Scherrer
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Carsten Magnus
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Jacqueline Weber
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Therese Uhr
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Valentina Cippa
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Christian W Thorball
- Global Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Herbert Kuster
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Matthias Cavassini
- University Hospital Lausanne, University of Lausanne, Lausanne, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital of Lugano, Lugano, Switzerland
| | - Matthias Hoffmann
- Division of Infectious Diseases, Cantonal Hospital of St. Gallen, St. Gallen, Switzerland
| | - Alexandra Calmy
- Division of Infectious Diseases, University Hospital of Geneva, Geneva, Switzerland
| | - Manuel Battegay
- Division of Infectious Diseases, University Hospital of Basel, Basel, Switzerland
| | - Andri Rauch
- Department of Infectious Diseases, Inselspital, Bern University Hospital, Bern, Switzerland
| | - Sabine Yerly
- Laboratory of Virology, Division of Infectious Diseases, Geneva University Hospital, Geneva, Switzerland
| | - Vincent Aubert
- Division of Immunology and Allergy, University Hospital Lausanne, Lausanne, Switzerland
| | - Thomas Klimkait
- Department of Biomedicine-Petersplatz, University of Basel, Basel, Switzerland
| | - Jürg Böni
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Jacques Fellay
- Global Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Roland R Regoes
- Global Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Huldrych F Günthard
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland.,Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Alexandra Trkola
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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37
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Oberle CS, Joos B, Rusert P, Campbell NK, Beauparlant D, Kuster H, Weber J, Schenkel CD, Scherrer AU, Magnus C, Kouyos R, Rieder P, Niederöst B, Braun DL, Pavlovic J, Böni J, Yerly S, Klimkait T, Aubert V, Trkola A, Metzner KJ, Günthard HF. Tracing HIV-1 transmission: envelope traits of HIV-1 transmitter and recipient pairs. Retrovirology 2016; 13:62. [PMID: 27595568 PMCID: PMC5011806 DOI: 10.1186/s12977-016-0299-0] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Accepted: 08/22/2016] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Mucosal HIV-1 transmission predominantly results in a single transmitted/founder (T/F) virus establishing infection in the new host despite the generally high genetic diversity of the transmitter virus population. To what extent HIV-1 transmission is a stochastic process or driven by selective forces that allow T/F viruses best to overcome bottlenecks in transmission has not been conclusively resolved. Building on prior investigations that suggest HIV-1 envelope (Env) features to contribute in the selection process during transmission, we compared phenotypic virus characteristics of nine HIV-1 subtype B transmission pairs, six men who have sex with men and three male-to-female transmission pairs. RESULTS All recipients were identified early in acute infection and harbored based on extensive sequencing analysis a single T/F virus allowing a controlled analysis of virus properties in matched transmission pairs. Recipient and transmitter viruses from the closest time point to transmission showed no signs of selection for specific Env modifications such as variable loop length and glycosylation. Recipient viruses were resistant to circulating plasma antibodies of the transmitter and also showed no altered sensitivity to a large panel of entry inhibitors and neutralizing antibodies. The recipient virus did not consistently differ from the transmitter virus in terms of entry kinetics, cell-cell transmission and replicative capacity in primary cells. Our paired analysis revealed a higher sensitivity of several recipient virus isolates to interferon-α (IFNα) which suggests that resistance to IFNα cannot be a general driving force in T/F establishment. CONCLUSIONS With the exception of increased IFNα sensitivity, none of the phenotypic virus properties we investigated clearly distinguished T/F viruses from their matched transmitter viruses supporting the notion that at least in subtype B infection HIV-1 transmission is to a considerable extent stochastic.
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Affiliation(s)
- Corinna S Oberle
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Beda Joos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Peter Rusert
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Nottania K Campbell
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - David Beauparlant
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Herbert Kuster
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Jacqueline Weber
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Corinne D Schenkel
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Alexandra U Scherrer
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Carsten Magnus
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Roger Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Philip Rieder
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Barbara Niederöst
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Dominique L Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Jovan Pavlovic
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Jürg Böni
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Sabine Yerly
- Laboratory of Virology, University Hospital Geneva, University of Geneva, Geneva, Switzerland
| | - Thomas Klimkait
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Vincent Aubert
- Division of Immunology and Allergy, University Hospital Lausanne, University of Lausanne, Lausanne, Switzerland
| | - Alexandra Trkola
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Karin J Metzner
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland. .,Institute of Medical Virology, University of Zurich, Zurich, Switzerland.
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38
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Differences in the Selection Bottleneck between Modes of Sexual Transmission Influence the Genetic Composition of the HIV-1 Founder Virus. PLoS Pathog 2016; 12:e1005619. [PMID: 27163788 PMCID: PMC4862634 DOI: 10.1371/journal.ppat.1005619] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2015] [Accepted: 04/18/2016] [Indexed: 01/18/2023] Open
Abstract
Due to the stringent population bottleneck that occurs during sexual HIV-1 transmission, systemic infection is typically established by a limited number of founder viruses. Elucidation of the precise forces influencing the selection of founder viruses may reveal key vulnerabilities that could aid in the development of a vaccine or other clinical interventions. Here, we utilize deep sequencing data and apply a genetic distance-based method to investigate whether the mode of sexual transmission shapes the nascent founder viral genome. Analysis of 74 acute and early HIV-1 infected subjects revealed that 83% of men who have sex with men (MSM) exhibit a single founder virus, levels similar to those previously observed in heterosexual (HSX) transmission. In a metadata analysis of a total of 354 subjects, including HSX, MSM and injecting drug users (IDU), we also observed no significant differences in the frequency of single founder virus infections between HSX and MSM transmissions. However, comparison of HIV-1 envelope sequences revealed that HSX founder viruses exhibited a greater number of codon sites under positive selection, as well as stronger transmission indices possibly reflective of higher fitness variants. Moreover, specific genetic “signatures” within MSM and HSX founder viruses were identified, with single polymorphisms within gp41 enriched among HSX viruses while more complex patterns, including clustered polymorphisms surrounding the CD4 binding site, were enriched in MSM viruses. While our findings do not support an influence of the mode of sexual transmission on the number of founder viruses, they do demonstrate that there are marked differences in the selection bottleneck that can significantly shape their genetic composition. This study illustrates the complex dynamics of the transmission bottleneck and reveals that distinct genetic bottleneck processes exist dependent upon the mode of HIV-1 transmission. While the global spread of HIV-1 has been fueled by sexual transmission the genetic determinants underlying the transmission bottleneck remains poorly understood. Here we characterized founder virus population diversity from next generation sequencing data in a cohort of 74 acute and early HIV-1 infected individuals. We observe that the risk of multi-variant infection in men-who-have-sex-with-men (MSM) is not greater than that observed for heterosexuals (HSX), contrary to reports of higher rates of multiple founder virus infections in higher-risk MSM transmissions. These findings were further supported through a metadata analysis of 354 acute and early HIV-1 subjects. We did, however, observe differences between HSM and MSM founder viruses, including a higher selection barrier in HSX transmission with founder viruses being more cohort consensus-like that may be reflective of increased replicative fitness. We also identified a number of residues within Envelope that behave in a risk-dependent manner and could be key for HIV-1 transmission. These novel insights improve our understanding of the HIV-1 transmission bottleneck and underscore the differential selective pressures that founder viruses within the two major transmission risk groups are subjected to.
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39
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Kok YL, Vongrad V, Shilaih M, Di Giallonardo F, Kuster H, Kouyos R, Günthard HF, Metzner KJ. Monocyte-derived macrophages exhibit distinct and more restricted HIV-1 integration site repertoire than CD4(+) T cells. Sci Rep 2016; 6:24157. [PMID: 27067385 PMCID: PMC4828718 DOI: 10.1038/srep24157] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Accepted: 03/21/2016] [Indexed: 11/09/2022] Open
Abstract
The host genetic landscape surrounding integrated HIV-1 has an impact on the fate of the provirus. Studies analysing HIV-1 integration sites in macrophages are scarce. We studied HIV-1 integration site patterns in monocyte-derived macrophages (MDMs) and activated CD4(+) T cells derived from seven antiretroviral therapy (ART)-treated HIV-1-infected individuals whose cells were infected ex vivo with autologous HIV-1 isolated during the acute phase of infection. A total of 1,484 unique HIV-1 integration sites were analysed. Their distribution in the human genome and genetic features, and the effects of HIV-1 integrase polymorphisms on the nucleotide selection specificity at these sites were indistinguishable between the two cell types, and among HIV-1 isolates. However, the repertoires of HIV-1-hosting gene clusters overlapped to a higher extent in MDMs than in CD4(+) T cells. The frequencies of HIV-1 integration events in genes encoding HIV-1-interacting proteins were also different between the two cell types. Lastly, HIV-1-hosting genes linked to clonal expansion of latently HIV-1-infected CD4(+) T cells were over-represented in gene hotspots identified in CD4(+) T cells but not in those identified in MDMs. Taken together, the repertoire of genes targeted by HIV-1 in MDMs is distinct from and more restricted than that of CD4(+) T cells.
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Affiliation(s)
- Yik Lim Kok
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Valentina Vongrad
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Mohaned Shilaih
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Francesca Di Giallonardo
- Marie Bashir Institute for Infectious Diseases and Biosecurity, Charles Perkins Centre, School of Biological Sciences and Sydney Medical School, The University of Sydney, Sydney, Australia
| | - Herbert Kuster
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Roger Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Karin J Metzner
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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40
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Abstract
Although the use of phylogenetic trees in epidemiological investigations has become commonplace, their epidemiological interpretation has not been systematically evaluated. Here, we use an HIV-1 within-host coalescent model to probabilistically evaluate transmission histories of two epidemiologically linked hosts. Previous critique of phylogenetic reconstruction has claimed that direction of transmission is difficult to infer, and that the existence of unsampled intermediary links or common sources can never be excluded. The phylogenetic relationship between the HIV populations of epidemiologically linked hosts can be classified into six types of trees, based on cladistic relationships and whether the reconstruction is consistent with the true transmission history or not. We show that the direction of transmission and whether unsampled intermediary links or common sources existed make very different predictions about expected phylogenetic relationships: (i) Direction of transmission can often be established when paraphyly exists, (ii) intermediary links can be excluded when multiple lineages were transmitted, and (iii) when the sampled individuals' HIV populations both are monophyletic a common source was likely the origin. Inconsistent results, suggesting the wrong transmission direction, were generally rare. In addition, the expected tree topology also depends on the number of transmitted lineages, the sample size, the time of the sample relative to transmission, and how fast the diversity increases after infection. Typically, 20 or more sequences per subject give robust results. We confirm our theoretical evaluations with analyses of real transmission histories and discuss how our findings should aid in interpreting phylogenetic results.
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41
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A Comprehensive Analysis of Primer IDs to Study Heterogeneous HIV-1 Populations. J Mol Biol 2015; 428:238-250. [PMID: 26711506 DOI: 10.1016/j.jmb.2015.12.012] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2015] [Revised: 11/25/2015] [Accepted: 12/16/2015] [Indexed: 01/01/2023]
Abstract
Determining the composition of viral populations is becoming increasingly important in the field of medical virology. While recently developed computational tools for viral haplotype analysis allow for correcting sequencing errors, they do not always allow for the removal of errors occurring in the upstream experimental protocol, such as PCR errors. Primer IDs (pIDs) are one method to address this problem by harnessing redundant template resampling for error correction. By using a reference mixture of five HIV-1 strains, we show how pIDs can be useful for estimating key experimental parameters, such as the substitution rate of the PCR process and the reverse transcription (RT) error rate. In addition, we introduce a hidden Markov model for determining the recombination rate of the RT PCR process. We found no strong sequence-specific bias in pID abundances (the same RT efficiencies as compared to commonly used short, specific RT primers) and no effects of pIDs on the estimated distribution of the references viruses.
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42
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Zimmermann K, Bastidas S, Knecht L, Kuster H, Vavricka SR, Günthard HF, Oxenius A. Gut commensal microbes do not represent a dominant antigenic source for continuous CD4+ T-cell activation during HIV-1 infection. Eur J Immunol 2015; 45:3107-13. [PMID: 26345361 DOI: 10.1002/eji.201545940] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Revised: 08/20/2015] [Accepted: 09/08/2015] [Indexed: 11/06/2022]
Abstract
Chronic immune activation is a hallmark of HIV-1 infection; specifically, the activation of T cells has predictive value for progression to AIDS. The majority of hyperactivated T cells are not HIV-specific and their antigenic specificities remain poorly understood. Translocation of gut luminal microbial products to systemic sites contributes to chronic immune activation during HIV-1 infection, but how it affects (TCR-dependent) immune activation remains elusive. We hypothesized that gut luminal antigens foster activation of CD4(+) T cells with specificities for commensal bacterial antigens, thereby contributing to the pool of activated CD4(+) T cells in the circulation of HIV-1 infected individuals. To test this hypothesis, we quantified the frequencies of gut microbe-specific CD4(+) T cells by cytokine production upon restimulation with selected gut commensal microbial antigens. Contrary to our hypothesis, we did not observe increased but rather decreased frequencies of gut microbe-specific CD4(+) T cells in HIV-1 infected individuals compared to healthy controls. We conclude that the increased activation status of circulating CD4(+) T cells in HIV-1 infected individuals is not driven by CD4(+) T cells with specificities for commensal bacterial antigens.
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Affiliation(s)
| | - Sonia Bastidas
- Institute of Microbiology, ETH Zurich, Zurich, Switzerland
| | - Leandra Knecht
- Institute of Microbiology, ETH Zurich, Zurich, Switzerland
| | - Herbert Kuster
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Stephan R Vavricka
- Division of Gastroenterology and Hepatology, Triemli Hospital, Zurich, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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43
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Marzel A, Shilaih M, Yang WL, Böni J, Yerly S, Klimkait T, Aubert V, Braun DL, Calmy A, Furrer H, Cavassini M, Battegay M, Vernazza PL, Bernasconi E, Günthard HF, Kouyos RD, Aubert V, Battegay M, Bernasconi E, Böni J, Bucher HC, Burton-Jeangros C, Calmy A, Cavassini M, Dollenmaier G, Egger M, Elzi L, Fehr J, Fellay J, Furrer H, Fux CA, Gorgievski M, Günthard HF, Haerry D, Hasse B, Hirsch HH, Hoffmann M, Hösli I, Kahlert C, Kaiser L, Keiser O, Klimkait T, Kouyos RD, Kovari H, Ledergerber B, Martinetti G, de Tejada BM, Metzner K, Müller N, Nadal D, Nicca D, Pantaleo G, Rauch A, Regenass S, Rickenbach M, Rudin C, Schöni-Affolter F, Schmid P, Schüpbach J, Speck R, Tarr P, Trkola A, Vernazza PL, Weber R, Yerly S. HIV-1 Transmission During Recent Infection and During Treatment Interruptions as Major Drivers of New Infections in the Swiss HIV Cohort Study. Clin Infect Dis 2015; 62:115-122. [PMID: 26387084 DOI: 10.1093/cid/civ732] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2015] [Accepted: 08/11/2015] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Reducing the fraction of transmissions during recent human immunodeficiency virus (HIV) infection is essential for the population-level success of "treatment as prevention". METHODS A phylogenetic tree was constructed with 19 604 Swiss sequences and 90 994 non-Swiss background sequences. Swiss transmission pairs were identified using 104 combinations of genetic distance (1%-2.5%) and bootstrap (50%-100%) thresholds, to examine the effect of those criteria. Monophyletic pairs were classified as recent or chronic transmission based on the time interval between estimated seroconversion dates. Logistic regression with adjustment for clinical and demographic characteristics was used to identify risk factors associated with transmission during recent or chronic infection. FINDINGS Seroconversion dates were estimated for 4079 patients on the phylogeny, and comprised between 71 (distance, 1%; bootstrap, 100%) to 378 transmission pairs (distance, 2.5%; bootstrap, 50%). We found that 43.7% (range, 41%-56%) of the transmissions occurred during the first year of infection. Stricter phylogenetic definition of transmission pairs was associated with higher recent-phase transmission fraction. Chronic-phase viral load area under the curve (adjusted odds ratio, 3; 95% confidence interval, 1.64-5.48) and time to antiretroviral therapy (ART) start (adjusted odds ratio 1.4/y; 1.11-1.77) were associated with chronic-phase transmission as opposed to recent transmission. Importantly, at least 14% of the chronic-phase transmission events occurred after the transmitter had interrupted ART. CONCLUSIONS We demonstrate a high fraction of transmission during recent HIV infection but also chronic transmissions after interruption of ART in Switzerland. Both represent key issues for treatment as prevention and underline the importance of early diagnosis and of early and continuous treatment.
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Affiliation(s)
- Alex Marzel
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich.,Institute of Medical Virology, University of Zurich
| | - Mohaned Shilaih
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich.,Institute of Medical Virology, University of Zurich
| | - Wan-Lin Yang
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich.,Institute of Medical Virology, University of Zurich
| | - Jürg Böni
- Institute of Medical Virology, University of Zurich
| | | | - Thomas Klimkait
- Molecular Virology, Department of Biomedicine-Petersplatz, University of Basel
| | | | - Dominique L Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich.,Institute of Medical Virology, University of Zurich
| | | | - Hansjakob Furrer
- Department of Infectious Diseases, Bern University Hospital and University of Bern
| | | | - Manuel Battegay
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel
| | | | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich.,Institute of Medical Virology, University of Zurich
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich.,Institute of Medical Virology, University of Zurich
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The impact of vaccination on the breadth and magnitude of the antibody response to influenza A viruses in HIV-infected individuals. AIDS 2015; 29:1803-10. [PMID: 26372386 DOI: 10.1097/qad.0000000000000772] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
OBJECTIVE HIV-positive individuals have lower antibody titers to influenza viruses than HIV-negative individuals, and the benefits of the annual vaccinations are controversially discussed. Also, there is no information about the breadth of the antibody response in HIV-infected individuals. DESIGN The binding and neutralizing antibody titers to various human and nonhuman influenza A virus strain were determined in sera from 146 HIV-infected volunteers: They were compared with those found in 305 randomly selected HIV-negative donors, and put in relation to HIV-specific parameters. Univariable and multivariable regression was used to identify HIV-specific parameters associated with the measured binding and neutralizing activity. METHODS Enzyme-linked immunosorbent assays and in-vitro neutralization assays were used to determine the binding and neutralizing antibodiy titers to homo and heterosubtypic influenza A subtypes. RESULTS We found that both homo and heterosubtypic antibody titers are lower in HIV-positive individuals. Vaccination promoted higher binding and neutralizing antibody titers to human but not to nonhuman isolates. HIV-induced immune damage (high viral load, low CD4 T-cell counts, and long untreated disease progression) is associated with impaired homosubtypic responses, but can have beneficial effects on the development of heterosubtypic antibodies, and an improved ratio of binding to neutralizing antibody titers to homosubtypic isolates. CONCLUSIONS Our results indicate that repetitive vaccinations in HIV-positive individuals enhance antibody titers to human isolates. Interestingly, development of antibody titers to conserved heterosubtypic epitopes paradoxically appeared to profit from HIV-induced immune damage, as did the ratio of binding to neutralizing antibodies.
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HIV-1 infections with multiple founders are associated with higher viral loads than infections with single founders. Nat Med 2015; 21:1139-41. [PMID: 26322580 PMCID: PMC4598284 DOI: 10.1038/nm.3932] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2015] [Accepted: 07/24/2015] [Indexed: 11/08/2022]
Abstract
Given the wide differences in HIV-1 viral load (VL) setpoint across subjects as opposed to fairly stable VL over time within an infected individual, it is important to identify host and viral characteristics that affect VL setpoint. While recently-infected individuals with multiple phylogenetically-linked HIV-1 founder variants represent a minority of HIV-1 infections, we found in two different cohorts that more diverse HIV-1 populations in early infection were associated with significantly higher VL one year after HIV-1 diagnosis.
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The temporal increase in HIV-1 non-R5 tropism frequency among newly diagnosed patients from northern Poland is associated with clustered transmissions. J Int AIDS Soc 2015; 18:19993. [PMID: 26297538 PMCID: PMC4545195 DOI: 10.7448/ias.18.1.19993] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2014] [Revised: 07/06/2015] [Accepted: 07/21/2015] [Indexed: 01/27/2023] Open
Abstract
Introduction CCR5 (R5) tropic viruses are associated with early stages of infection, whereas CXCR4 (X4) HIV-1 tropism has been associated with severe immunodeficiency. We investigated the temporal changes in the genotype-predicted tropism frequency and the phylogenetic relationships between the R5 and non-R5 clades. Methods A cohort of 194 patients with a newly diagnosed HIV infection that was linked to their care from 2007 to 2014 was analyzed. Baseline plasma samples were used to assess the HIV-1 genotypic tropism with triplicate V3-loop sequencing. The non-R5 tropism prediction thresholds were assigned using a false positive rate (FPR) of 10 and 5.75% and associated with clinical and laboratory data. The transmission clusters were analyzed using pol sequences with a maximum likelihood and Bayesian inference. Results The overall non-R5 tropism frequency for 5.75% FPR was 15.5% (n=30) and 27.8% (n=54) for 10% FPR. The frequency of the non-R5 tropism that was predicted using 5.75% FPR increased significantly from 2007 (0%) to 2014 (n=5/17, 29.4%) (p=0.004, rough slope +3.73%/year) and from 0% (2007) to 35.3% (2014, n=6/17) (p=0.071, rough slope +2.9%/year) using 10% FPR. Increase in the asymptomatic diagnoses over time was noted (p=0.05, rough slope +3.53%/year) along with a tendency to increase the lymphocyte CD4 nadir (p=0.069). Thirty-two clusters were identified, and non-R5 tropic viruses were found for 26 (30.95%) sequences contained within 14 (43.8%) clusters. Non-R5 tropism was associated with subtype D variants (p=0.0001) and the presence of CCR5 Δ32/wt genotype (p=0.052). Conclusions R5 tropism predominates among the treatment of naive individuals, but the increases in the frequency of non-R5 tropic variants may limit the clinical efficacy of the co-receptor inhibitors. The rising prevalence of non-R5 HIV-1 may indicate transmission of X4 clades.
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Braun DL, Kouyos RD, Balmer B, Grube C, Weber R, Günthard HF. Frequency and Spectrum of Unexpected Clinical Manifestations of Primary HIV-1 Infection. Clin Infect Dis 2015; 61:1013-21. [PMID: 25991469 DOI: 10.1093/cid/civ398] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2015] [Accepted: 05/05/2015] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Prospectively and systematically collected data on frequency and spectrum of unexpected clinical manifestations during primary human immunodeficiency virus (HIV) infection (PHI) have not been published. METHODS We prospectively enrolled 290 patients with documented PHI in the Zurich Primary HIV Infection Study. Typical acute retroviral syndrome (ARS) was defined as fever plus at least 1 symptom or sign typically considered to be associated with ARS; in absence of fever, presence of 2 or more ARS symptoms or signs. Atypical ARS was defined as lack of symptoms or signs, a single symptom or sign only and absence of fever, presence of symptoms or signs that are not considered typically associated with ARS, or occurrence of an opportunistic disease. Time to diagnosis was calculated based on estimated date of infection and first positive HIV test. RESULTS We analyzed 290 patients (271 males). PHI manifested with typical ARS in 202 (70%) and with atypical ARS in 88 (30%) patients. Patients with atypical ARS were hospitalized 4 times more often compared with typical ARS (43% vs 11%; P < .001). The gastrointestinal tract was the most frequent organ system affected in patients with atypical manifestations. Only in 112 (38%) patients was HIV infection suspected during the first medical attendance. Patients with typical ARS were diagnosed slightly earlier compared with atypical ARS, but this difference was not significant (P = .3). CONCLUSIONS Unexpected clinical presentations occurred in a large fraction of patients with PHI and were associated with substantial morbidity. Universal HIV testing may be mandatory in high-risk groups.
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Affiliation(s)
- Dominique L Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich Institute of Medical Virology, University of Zurich, Switzerland
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich Institute of Medical Virology, University of Zurich, Switzerland
| | - Belinda Balmer
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich
| | - Christina Grube
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich
| | - Rainer Weber
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich Institute of Medical Virology, University of Zurich, Switzerland
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Yang WL, Kouyos R, Scherrer AU, Böni J, Shah C, Yerly S, Klimkait T, Aubert V, Furrer H, Battegay M, Cavassini M, Bernasconi E, Vernazza P, Held L, Ledergerber B, Günthard HF. Assessing the Paradox Between Transmitted and Acquired HIV Type 1 Drug Resistance Mutations in the Swiss HIV Cohort Study From 1998 to 2012. J Infect Dis 2015; 212:28-38. [PMID: 25576600 DOI: 10.1093/infdis/jiv012] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2014] [Accepted: 11/28/2014] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Transmitted human immunodeficiency virus type 1 (HIV) drug resistance (TDR) mutations are transmitted from nonresponding patients (defined as patients with no initial response to treatment and those with an initial response for whom treatment later failed) or from patients who are naive to treatment. Although the prevalence of drug resistance in patients who are not responding to treatment has declined in developed countries, the prevalence of TDR mutations has not. Mechanisms causing this paradox are poorly explored. METHODS We included recently infected, treatment-naive patients with genotypic resistance tests performed ≤ 1 year after infection and before 2013. Potential risk factors for TDR mutations were analyzed using logistic regression. The association between the prevalence of TDR mutations and population viral load (PVL) among treated patients during 1997-2011 was estimated with Poisson regression for all TDR mutations and individually for the most frequent resistance mutations against each drug class (ie, M184V/L90M/K103N). RESULTS We included 2421 recently infected, treatment-naive patients and 5399 patients with no response to treatment. The prevalence of TDR mutations fluctuated considerably over time. Two opposing developments could explain these fluctuations: generally continuous increases in the prevalence of TDR mutations (odds ratio, 1.13; P = .010), punctuated by sharp decreases in the prevalence when new drug classes were introduced. Overall, the prevalence of TDR mutations increased with decreasing PVL (rate ratio [RR], 0.91 per 1000 decrease in PVL; P = .033). Additionally, we observed that the transmitted high-fitness-cost mutation M184V was positively associated with the PVL of nonresponding patients carrying M184V (RR, 1.50 per 100 increase in PVL; P < .001). Such association was absent for K103N (RR, 1.00 per 100 increase in PVL; P = .99) and negative for L90M (RR, 0.75 per 100 increase in PVL; P = .022). CONCLUSIONS Transmission of antiretroviral drug resistance is temporarily reduced by the introduction of new drug classes and driven by nonresponding and treatment-naive patients. These findings suggest a continuous need for new drugs, early detection/treatment of HIV-1 infection.
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Affiliation(s)
- Wan-Lin Yang
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich
| | - Roger Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich
| | - Alexandra U Scherrer
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich
| | - Jürg Böni
- Swiss National Center for Retroviruses, Institute of Medical Virology
| | - Cyril Shah
- Swiss National Center for Retroviruses, Institute of Medical Virology
| | - Sabine Yerly
- Laboratory of Virology, Division of Infectious Diseases, Geneva University Hospital
| | | | | | - Hansjakob Furrer
- Department of Infectious Diseases, Berne University Hospital and University of Berne
| | - Manuel Battegay
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel
| | | | | | - Pietro Vernazza
- Division of Infectious Diseases, Cantonal Hospital St. Gallen, Switzerland
| | - Leonhard Held
- Institute of Social and Preventive Medicine, University of Zurich
| | - Bruno Ledergerber
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich
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Detection of HIV-1 matrix protein p17 quasispecies variants in plasma of chronic HIV-1-infected patients by ultra-deep pyrosequencing. J Acquir Immune Defic Syndr 2014; 66:332-9. [PMID: 24732873 DOI: 10.1097/qai.0000000000000164] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND The HIV-1 matrix protein p17 (p17MA) is a pleiotropic protein that plays a key role in the HIV-1 life cycle. It has been long believed to have a highly conserved primary amino acid sequence and a well-preserved structural integrity to avoid severe fitness consequences. However, recent data revealed that the carboxy (COOH)-terminus of p17MA possesses high levels of predicted intrinsic disorder, which would subtend to at least partially unfolded status of this region. This finding pointed to the need of investigating p17MA heterogeneity. METHODS The degree of intrapatient variations in the p17MA primary sequence was assessed on plasma viral RNA by using ultra-deep pyrosequencing. RESULTS Data obtained support a complex nature of p17MA quasispecies, with variants present at variable frequency virtually in all patients. Clusters of mutations were scattered along the entire sequence of the viral protein, but they were more frequently detected within the COOH-terminal region of p17MA. Moreover, deletions and insertions also occurred in a restricted area of the COOH-terminal region. CONCLUSIONS On the whole, our data show that the intrapatient level of sequence diversity in the p17MA is much higher than predicted before. Our results pave the way for further studies aimed at unraveling possible correlations between the presence of distinct p17MA variants and peculiar clinical evolutions of HIV-1 disease. The presence of p17MA quasispecies diversity may offer new tools to improve our understanding of the viral adaptation during the natural history of HIV-1 infection.
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Braun DL, Kouyos R, Oberle C, Grube C, Joos B, Fellay J, McLaren PJ, Kuster H, Günthard HF. A novel Acute Retroviral Syndrome Severity Score predicts the key surrogate markers for HIV-1 disease progression. PLoS One 2014; 9:e114111. [PMID: 25490090 PMCID: PMC4260784 DOI: 10.1371/journal.pone.0114111] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2014] [Accepted: 11/03/2014] [Indexed: 01/11/2023] Open
Abstract
Objective: Best long-term practice in primary HIV-1 infection (PHI) remains unknown for the individual. A risk-based scoring system associated with surrogate markers of HIV-1 disease progression could be helpful to stratify patients with PHI at highest risk for HIV-1 disease progression. Methods: We prospectively enrolled 290 individuals with well-documented PHI in the Zurich Primary HIV-1 Infection Study, an open-label, non-randomized, observational, single-center study. Patients could choose to undergo early antiretroviral treatment (eART) and stop it after one year of undetectable viremia, to go on with treatment indefinitely, or to defer treatment. For each patient we calculated an a priori defined “Acute Retroviral Syndrome Severity Score” (ARSSS), consisting of clinical and basic laboratory variables, ranging from zero to ten points. We used linear regression models to assess the association between ARSSS and log baseline viral load (VL), baseline CD4+ cell count, and log viral setpoint (sVL) (i.e. VL measured ≥90 days after infection or treatment interruption). Results Mean ARSSS was 2.89. CD4+ cell count at baseline was negatively correlated with ARSSS (p = 0.03, n = 289), whereas HIV-RNA levels at baseline showed a strong positive correlation with ARSSS (p<0.001, n = 290). In the regression models, a 1-point increase in the score corresponded to a 0.10 log increase in baseline VL and a CD4+cell count decline of 12/µl, respectively. In patients with PHI and not undergoing eART, higher ARSSS were significantly associated with higher sVL (p = 0.029, n = 64). In contrast, in patients undergoing eART with subsequent structured treatment interruption, no correlation was found between sVL and ARSSS (p = 0.28, n = 40). Conclusion The ARSSS is a simple clinical score that correlates with the best-validated surrogate markers of HIV-1 disease progression. In regions where ART is not universally available and eART is not standard this score may help identifying patients who will profit the most from early antiretroviral therapy.
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Affiliation(s)
- Dominique L. Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- * E-mail: (DLB); (HFG)
| | - Roger Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Corinna Oberle
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Christina Grube
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Beda Joos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Jacques Fellay
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland; Institute of Microbiology, University Hospital Center and University of Lausanne, Lausanne, Switzerland
| | - Paul J. McLaren
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland; Institute of Microbiology, University Hospital Center and University of Lausanne, Lausanne, Switzerland
| | - Herbert Kuster
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Huldrych F. Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- * E-mail: (DLB); (HFG)
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