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Giammarino F, de Salazar A, Malet I, Viñuela L, Fuentes A, Saladini F, Bartolini N, Charpentier C, Lambert-Niclot S, Sterrantino G, Colao MG, Micheli V, Bertoli A, Fabeni L, Teyssou E, Delgado R, Falces-Romero I, Aguilera A, Gomes P, Paraskevis D, Santoro MM, Ceccherini-Silberstein F, Marcelin AG, Moreno C, Zazzi M, García F. Prevalence and Phenotypic Susceptibility to Doravirine of the HIV-1 Reverse Transcriptase V106I Polymorphism in B and Non-B Subtypes. J Infect Dis 2024; 229:1796-1802. [PMID: 38206187 DOI: 10.1093/infdis/jiae010] [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: 10/25/2023] [Revised: 12/29/2023] [Accepted: 01/10/2024] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Limited data are available regarding the susceptibility of the reverse transcriptase V106 polymorphism to doravirine. METHODS Doravirine susceptibility was measured in site-directed mutants (SDMs) containing V106I, V106A, V106M, and Y188L mutations in subtype B (NL4-3, HXB2) and CRF02_AG background and in recombinant viruses with RT harboring V106I alone derived from 50 people with HIV. RESULTS HIV-1 B subtype was detected in 1523 of 2705 cases. Prevalence of V106I was 3.2% in B and 2.5% in non-B subtypes, and was higher in subtype F (8.1%) and D (14.3%). Fold-changes (FC) in susceptibility for SDMs were below doravirine biological cutoff (3.0) for V106I, but not for V106A, V106M, and Y188L. Clinically derived viruses tested included 22 B (median FC, 1.2; interquartile range [IQR], 0.9-1.6) and 28 non-B subtypes (median FC, 1.8; IQR, 0.9-3.0). Nine (18%) viruses showed FC values equal or higher than the doravirine biological FC cutoff. CONCLUSIONS The prevalence of the HIV-1 RT V106I polymorphism in MeditRes HIV consortium remains low, but significantly more prevalent in subtypes D and F. V106I minimally decreased the susceptibility to doravirine in SDMs and most clinical isolates. Reduced susceptibility seems to occur at increased frequency in subtype F1; however, the clinical impact remains to be investigated. CLINICAL TRIALS REGISTRATION NCT04894357.
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Affiliation(s)
| | - Adolfo de Salazar
- Clinical Microbiology, Hospital Universitario Clinico San Cecilio, Granada, Spain
- Instituto de Investigación Biosanitaria (ibs.Granada), Granada, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Isabelle Malet
- Laboratoire de Virologie, Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpital Pitié-Salpêtrière, Paris, France
| | - Laura Viñuela
- Clinical Microbiology, Hospital Universitario Clinico San Cecilio, Granada, Spain
- Instituto de Investigación Biosanitaria (ibs.Granada), Granada, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Ana Fuentes
- Clinical Microbiology, Hospital Universitario Clinico San Cecilio, Granada, Spain
- Instituto de Investigación Biosanitaria (ibs.Granada), Granada, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Francesco Saladini
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Niccolò Bartolini
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Charlotte Charpentier
- Service de Virologie, Université Paris Cité, INSERM, IAME, UMR 1137, Assistance Publique-Hôpitaux de Paris, Hôpital Bichat-Claude Bernard, Paris, France
| | - Sidonie Lambert-Niclot
- Laboratoire de Virologie, Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Antoine, Paris, France
| | - Gaetana Sterrantino
- Department of Clinical and Experimental Medicine, University of Florence, Florence, Italy
| | - Maria Grazia Colao
- Laboratory of Microbiology and Virology, Careggi Hospital, Florence, Italy
| | - Valeria Micheli
- Department of Clinical Microbiology, Virology, and Bioemergencies, Sacco University Hospital, Milan, Italy
| | - Ada Bertoli
- Laboratory of Virology, University Hospital Tor Vergata, Rome, Italy
- Department of Experimental Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Lavinia Fabeni
- Virology and Biosafety Laboratories Unit, Lazzaro Spallanzani-IRCCS, National Institute for Infectious Diseases, Rome, Italy
| | - Elisa Teyssou
- Laboratoire de Virologie, Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpital Pitié-Salpêtrière, Paris, France
| | - Rafael Delgado
- Clinical Microbiology Service, Instituto de Investigación, Hospital 12 de Octubre, Madrid, Spain
| | - Iker Falces-Romero
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Clinical Microbiology Service, Hospital La Paz, Madrid, Spain
| | - Antonio Aguilera
- Clinical Microbiology Service, Hospital Clínico Universitario de Santiago, Instituto de Investigación Sanitaria de Santiago (IDIS), Santiago de Compostela, Spain
| | - Perpetua Gomes
- Egas Moniz Center for Interdisciplinary Research, Egas Moniz School of Health and Science, Almada, Portugal
- Laboratório de Biología Molecular, Centro Hospitalar Lisboa Ocidental-Hospital Egas Moniz, Lisboa, Portugal
| | - Dimitrios Paraskevis
- Department of Hygiene, Epidemiology, and Medical Statistics, National and Kapodistrian University of Athens, Athens, Greece
| | - Maria M Santoro
- Department of Experimental Medicine, University of Rome Tor Vergata, Rome, Italy
| | | | - Anne-Genevieve Marcelin
- Laboratoire de Virologie, Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpital Pitié-Salpêtrière, Paris, France
| | - Cristina Moreno
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain
| | - Maurizio Zazzi
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Federico García
- Clinical Microbiology, Hospital Universitario Clinico San Cecilio, Granada, Spain
- Instituto de Investigación Biosanitaria (ibs.Granada), Granada, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
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Pingarilho M, Pimentel V, Diogo I, Fernandes S, Miranda M, Pineda-Pena A, Libin P, Theys K, O. Martins MR, Vandamme AM, Camacho R, Gomes P, Abecasis A. Increasing Prevalence of HIV-1 Transmitted Drug Resistance in Portugal: Implications for First Line Treatment Recommendations. Viruses 2020; 12:E1238. [PMID: 33143301 PMCID: PMC7693025 DOI: 10.3390/v12111238] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Revised: 10/27/2020] [Accepted: 10/29/2020] [Indexed: 12/21/2022] Open
Abstract
INTRODUCTION Treatment for All recommendations have allowed access to antiretroviral (ARV) treatment for an increasing number of patients. This minimizes the transmission of infection but can potentiate the risk of transmitted (TDR) and acquired drug resistance (ADR). OBJECTIVE To study the trends of TDR and ADR in patients followed up in Portuguese hospitals between 2001 and 2017. METHODS In total, 11,911 patients of the Portuguese REGA database were included. TDR was defined as the presence of one or more surveillance drug resistance mutation according to the WHO surveillance list. Genotypic resistance to ARV was evaluated with Stanford HIVdb v7.0. Patterns of TDR, ADR and the prevalence of mutations over time were analyzed using logistic regression. RESULTS AND DISCUSSION The prevalence of TDR increased from 7.9% in 2003 to 13.1% in 2017 (p < 0.001). This was due to a significant increase in both resistance to nucleotide reverse transcriptase inhibitors (NRTIs) and non-nucleotide reverse transcriptase inhibitors (NNRTIs), from 5.6% to 6.7% (p = 0.002) and 2.9% to 8.9% (p < 0.001), respectively. TDR was associated with infection with subtype B, and with lower viral load levels (p < 0.05). The prevalence of ADR declined from 86.6% in 2001 to 51.0% in 2017 (p < 0.001), caused by decreasing drug resistance to all antiretroviral (ARV) classes (p < 0.001). CONCLUSIONS While ADR has been decreasing since 2001, TDR has been increasing, reaching a value of 13.1% by the end of 2017. It is urgently necessary to develop public health programs to monitor the levels and patterns of TDR in newly diagnosed patients.
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Affiliation(s)
- Marta Pingarilho
- Global Health and Tropical Medicine (GHTM), Instituto de Higiene e Medicina Tropical/Universidade Nova de Lisboa (IHMT/UNL), 1349–028 Lisbon, Portugal; (V.P.); (M.M.); (A.P.-P.); (M.R.O.M.); (A.-M.V.); (A.A.)
| | - Victor Pimentel
- Global Health and Tropical Medicine (GHTM), Instituto de Higiene e Medicina Tropical/Universidade Nova de Lisboa (IHMT/UNL), 1349–028 Lisbon, Portugal; (V.P.); (M.M.); (A.P.-P.); (M.R.O.M.); (A.-M.V.); (A.A.)
| | - Isabel Diogo
- Laboratório de Biologia Molecular (LMCBM, SPC, CHLO-HEM), 1349-019 Lisbon, Portugal; (I.D.); (S.F.); (P.G.)
| | - Sandra Fernandes
- Laboratório de Biologia Molecular (LMCBM, SPC, CHLO-HEM), 1349-019 Lisbon, Portugal; (I.D.); (S.F.); (P.G.)
| | - Mafalda Miranda
- Global Health and Tropical Medicine (GHTM), Instituto de Higiene e Medicina Tropical/Universidade Nova de Lisboa (IHMT/UNL), 1349–028 Lisbon, Portugal; (V.P.); (M.M.); (A.P.-P.); (M.R.O.M.); (A.-M.V.); (A.A.)
| | - Andrea Pineda-Pena
- Global Health and Tropical Medicine (GHTM), Instituto de Higiene e Medicina Tropical/Universidade Nova de Lisboa (IHMT/UNL), 1349–028 Lisbon, Portugal; (V.P.); (M.M.); (A.P.-P.); (M.R.O.M.); (A.-M.V.); (A.A.)
| | - Pieter Libin
- Department of Microbiology and Immunology, KU Leuven, Clinical and Epidemiological Virology, Rega Institute for Medical Research, 3000 Leuven, Belgium; (P.L.); (K.T.); (R.C.)
- Artificial Intelligence Lab, Department of computer science, Vrije Universiteit Brussel, 1000 Brussels, Belgium
- Interuniversity Institute of Biostatistics and statistical Bioinformatics, Data Science Institute, Hasselt University, 3500 Hasselt, Belgium
| | - Kristof Theys
- Department of Microbiology and Immunology, KU Leuven, Clinical and Epidemiological Virology, Rega Institute for Medical Research, 3000 Leuven, Belgium; (P.L.); (K.T.); (R.C.)
| | - M. Rosário O. Martins
- Global Health and Tropical Medicine (GHTM), Instituto de Higiene e Medicina Tropical/Universidade Nova de Lisboa (IHMT/UNL), 1349–028 Lisbon, Portugal; (V.P.); (M.M.); (A.P.-P.); (M.R.O.M.); (A.-M.V.); (A.A.)
| | - Anne-Mieke Vandamme
- Global Health and Tropical Medicine (GHTM), Instituto de Higiene e Medicina Tropical/Universidade Nova de Lisboa (IHMT/UNL), 1349–028 Lisbon, Portugal; (V.P.); (M.M.); (A.P.-P.); (M.R.O.M.); (A.-M.V.); (A.A.)
- Department of Microbiology and Immunology, KU Leuven, Clinical and Epidemiological Virology, Rega Institute for Medical Research, 3000 Leuven, Belgium; (P.L.); (K.T.); (R.C.)
| | - Ricardo Camacho
- Department of Microbiology and Immunology, KU Leuven, Clinical and Epidemiological Virology, Rega Institute for Medical Research, 3000 Leuven, Belgium; (P.L.); (K.T.); (R.C.)
| | - Perpétua Gomes
- Laboratório de Biologia Molecular (LMCBM, SPC, CHLO-HEM), 1349-019 Lisbon, Portugal; (I.D.); (S.F.); (P.G.)
- Centro de Investigação Interdisciplinar Egas Moniz (CiiEM), Instituto Superior de Ciências da Saúde Egas Moniz, 2829-511 Caparica, Portugal
| | - Ana Abecasis
- Global Health and Tropical Medicine (GHTM), Instituto de Higiene e Medicina Tropical/Universidade Nova de Lisboa (IHMT/UNL), 1349–028 Lisbon, Portugal; (V.P.); (M.M.); (A.P.-P.); (M.R.O.M.); (A.-M.V.); (A.A.)
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D'Costa J, Gooey M, Richards N, Sameer R, Lee E, Chibo D. Analysis of transmitted HIV drug resistance from 2005 to 2015 in Victoria, Australia: a comparison of the old and the new. Sex Health 2019. [PMID: 28641707 DOI: 10.1071/sh16190] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Background Baseline genotyping is part of standard-of-care treatment. It reveals that transmitted drug resistance (TDR) continues to be important for the management of HIV infection. Attention is typically focused on determining whether resistance to the protease inhibitors (PI) and reverse transcriptase inhibitors (RTI) occurs. However, the increasing use of integrase inhibitors (INIs) raises a concern that TDR to this class of antiretroviral drug may also occur. METHODS PI and RTI drug resistance genotyping was performed on blood samples collected between 2005 and 2015 from 772 treatment-naïve Victorian patients infected with HIV within the previous 12 months. Integrase genotyping was performed on 461 of the 485 patient samples collected between 2010 and 2015. RESULTS In the period 2005-10, 39 of 343 patients (11.4%) had at least one PI- or RTI-associated mutation, compared with 34 of 429 (7.9%) during the period 2011-15. Compared with 2005-10, during 2011-15 there was a significant decline in the prevalence of the non-nucleoside-associated mutation K103N and the nucleoside-associated mutations at codons M41 and T215. One patient was detected with a major INI resistance mutation, namely G118R. However, this mutation is rare and its effect on susceptibility is unclear. A small number of patients (n=12) was infected with HIV containing accessory resistance mutations in the integrase gene. CONCLUSIONS The lack of transmitted resistance to INIs is consistent with a low level of resistance to this class of drugs in the treated population. However, continued surveillance in the newly infected population is warranted as the use of INIs increases.
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Affiliation(s)
- Jodie D'Costa
- Victorian Infectious Diseases Reference Laboratory, Peter Doherty Institute, Locked Bag 815, Carlton South, Vic. 3053, Australia
| | - Megan Gooey
- Victorian Infectious Diseases Reference Laboratory, Peter Doherty Institute, Locked Bag 815, Carlton South, Vic. 3053, Australia
| | - Nicole Richards
- Victorian Infectious Diseases Reference Laboratory, Peter Doherty Institute, Locked Bag 815, Carlton South, Vic. 3053, Australia
| | - Rizmina Sameer
- Victorian Infectious Diseases Reference Laboratory, Peter Doherty Institute, Locked Bag 815, Carlton South, Vic. 3053, Australia
| | - Elaine Lee
- Victorian Infectious Diseases Reference Laboratory, Peter Doherty Institute, Locked Bag 815, Carlton South, Vic. 3053, Australia
| | - Doris Chibo
- Victorian Infectious Diseases Reference Laboratory, Peter Doherty Institute, Locked Bag 815, Carlton South, Vic. 3053, Australia
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Assoumou L, Charpentier C, Recordon-Pinson P, Grudé M, Pallier C, Morand-Joubert L, Fafi-Kremer S, Krivine A, Montes B, Ferré V, Bouvier-Alias M, Plantier JC, Izopet J, Trabaud MA, Yerly S, Dufayard J, Alloui C, Courdavault L, Le Guillou-Guillemette H, Maillard A, Amiel C, Vabret A, Roussel C, Vallet S, Guinard J, Mirand A, Beby-Defaux A, Barin F, Allardet-Servent A, Ait-Namane R, Wirden M, Delaugerre C, Calvez V, Chaix ML, Descamps D, Reigadas S. Prevalence of HIV-1 drug resistance in treated patients with viral load >50 copies/mL: a 2014 French nationwide study. J Antimicrob Chemother 2017; 72:1769-1773. [PMID: 28333232 DOI: 10.1093/jac/dkx042] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2016] [Accepted: 01/19/2017] [Indexed: 11/14/2022] Open
Abstract
Background Surveillance of HIV-1 resistance in treated patients with a detectable viral load (VL) is important to monitor, in order to assess the risk of spread of resistant viruses and to determine the proportion of patients who need new antiretroviral drugs with minimal cross-resistance. Methods The HIV-1 protease and reverse transcriptase (RT) and integrase genes were sequenced in plasma samples from 782 consecutive patients on failing antiretroviral regimens, seen in 37 specialized centres in 2014. The genotyping results were interpreted using the ANRS v24 algorithm. Prevalence rates were compared with those obtained during a similar survey conducted in 2009. Results The protease and RT sequences were obtained in 566 patients, and the integrase sequence in 382 patients. Sequencing was successful in 60%, 78%, 78% and 87% of patients with VLs of 51-200, 201-500, 501-1000 and >1000 copies/mL, respectively. Resistance to at least one antiretroviral drug was detected in 56.3% of samples. Respectively, 3.9%, 8.7%, 1.5% and 3.4% of patients harboured viruses that were resistant to any NRTI, NNRTI, PI and integrase inhibitor (INI). Resistance rates were lower in 2014 than in 2009. Resistance was detected in 48.5% of samples from patients with a VL between 51 and 200 copies/mL. Conclusion In France in 2014, 90.0% of patients in AIDS care centres were receiving antiretroviral drugs and 12.0% of them had VLs >50 copies/mL. Therefore, this study suggests that 6.7% of treated patients in France might transmit resistant strains. Resistance testing may be warranted in all treated patients with VL > 50 copies/mL.
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Affiliation(s)
- L Assoumou
- Sorbonne Universités, UPMC Univ. Paris 06, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique (IPLESP UMRS 1136), F75013 Paris, France
| | - C Charpentier
- INSERM UMR1137, IAME Université Paris Diderot Sorbonne Paris Cité, AP-HP, Laboratoire de Virologie, Hôpital Bichat-Claude Bernard, Laboratoire Associé au Centre National de Référence du VIH-Résistance aux Antirétroviraux, Paris, France
| | - P Recordon-Pinson
- PTBM, Laboratoire de Virologie, Hôpital Pellegrin, CHU de Bordeaux; UMR 5234 MFP CNRS, Université de Bordeaux, 33076 Bordeaux cedex, France
| | - M Grudé
- Sorbonne Universités, UPMC Univ. Paris 06, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique (IPLESP UMRS 1136), F75013 Paris, France
| | - C Pallier
- HU Paris sud, Hôpital Paul Brousse, Laboratoire de Virologie, Villejuif, France
| | - L Morand-Joubert
- Sorbonne Universités, UPMC Univ. Paris 06, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique (IPLESP UMRS 1136), AP-HP, Laboratoire de Virologie, Hôpital Saint-Antoine, F75012 Paris, France
| | - S Fafi-Kremer
- Laboratoire de Virologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - A Krivine
- AP-HP, Hôpital Cochin, Laboratoire de Virologie, Paris, France
| | - B Montes
- Laboratoire de Virologie, Hôpital Saint-Eloi, CHU Montpellier, Montpellier, France
| | - V Ferré
- EA 4271, Nantes Université UFR Pharmacie, Laboratoire de Virologie, CHU Nantes, Nantes, France
| | - M Bouvier-Alias
- INSERM U955, National Reference Center for Viral Hepatitis B, C et Delta, Department of Virology, Henri Mondor Hospital, University of Paris-Est, Créteil, France
| | - J-C Plantier
- Laboratoire de Virologie et COREVIH Haute-Normandie, CHU de Rouen, Rouen, France
| | - J Izopet
- Laboratoire de Virologie, Hôpital Purpan de Toulouse, Toulouse, France
| | - M-A Trabaud
- Laboratoire de Virologie, Hôpital de la Croix-Rousse, Hospices Civils de Lyon, Lyon, France
| | - S Yerly
- Laboratoire de Virologie, Hôpitaux Universitaires de Genève, Genève, Switzerland
| | - J Dufayard
- Laboratoire de Virologie, Hôpital l'Archet de Nice, Nice, France
| | - C Alloui
- Laboratoire de Virologie, Hôpital Avicenne, APHP, HU Paris Seine Saint Denis, Bobigny, France
| | - L Courdavault
- Laboratoire de Virologie, Centre Hospitalier Victor Dupouy d'Argenteuil, Argenteuil, France
| | - H Le Guillou-Guillemette
- Laboratoire de Virologie, CHU Angers et HIFIH Laboratory, UPRES 3859, SFR 4208, LUNAM University, Angers, France
| | - A Maillard
- Laboratoire de Virologie, CHU de Rennes, Rennes, France
| | - C Amiel
- AP-HP, Hôpital Tenon, Laboratoire de Virologie, Paris, France
| | - A Vabret
- Laboratoire de Virologie, CHU Caen, Caen, France
| | - C Roussel
- Laboratoire de Virologie, CHU Amiens, Amiens, France
| | - S Vallet
- Laboratoire de Virologie, CHU Brest, Brest, France
| | - J Guinard
- Laboratoire de Virologie, CHR Orléans, Orléans, France
| | - A Mirand
- Laboratoire de Virologie, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - A Beby-Defaux
- Laboratoire de Virologie, CHU Poitiers, Poitiers, France
| | - F Barin
- Laboratoire de Virologie, CHU Bretonneau, & INSERM U966, Tours, France
| | | | - R Ait-Namane
- Sorbonne Universités, UPMC Univ. Paris 06, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique (IPLESP UMRS 1136), F75013 Paris, France
| | - M Wirden
- Sorbonne Universités, UPMC Univ. Paris 06, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), AP-HP, Laboratoire de Virologie, Hôpital Pitié-Salpêtrière, F75013 Paris, France
| | - C Delaugerre
- Laboratoire de Virologie, AP-HP, Hôpital Saint Louis, INSERM U941, Université Paris Diderot, Paris, France
| | - V Calvez
- Sorbonne Universités, UPMC Univ. Paris 06, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), AP-HP, Laboratoire de Virologie, Hôpital Pitié-Salpêtrière, F75013 Paris, France
| | - M-L Chaix
- Laboratoire de Virologie, AP-HP, Hôpital Saint Louis, INSERM U941, Université Paris Diderot, Paris, France
| | - D Descamps
- INSERM UMR1137, IAME Université Paris Diderot Sorbonne Paris Cité, AP-HP, Laboratoire de Virologie, Hôpital Bichat-Claude Bernard, Laboratoire Associé au Centre National de Référence du VIH-Résistance aux Antirétroviraux, Paris, France
| | - S Reigadas
- PTBM, Laboratoire de Virologie, Hôpital Pellegrin, CHU de Bordeaux; UMR 5234 MFP CNRS, Université de Bordeaux, 33076 Bordeaux cedex, France.,CRB plurithématique, Bordeaux Biothèques Santé, Groupe hospitalier Pellegrin-CHU de Bordeaux, Bordeaux, France
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Huang A, Hogan JW, Luo X, DeLong A, Saravanan S, Wu Y, Sirivichayakul S, Kumarasamy N, Zhang F, Phanuphak P, Diero L, Buziba N, Istrail S, Katzenstein DA, Kantor R. Global Comparison of Drug Resistance Mutations After First-Line Antiretroviral Therapy Across Human Immunodeficiency Virus-1 Subtypes. Open Forum Infect Dis 2016; 3:ofv158. [PMID: 27419147 PMCID: PMC4943563 DOI: 10.1093/ofid/ofv158] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2015] [Accepted: 10/19/2015] [Indexed: 12/02/2022] Open
Abstract
Background. Human immunodeficiency virus (HIV)-1 drug resistance mutations (DRMs) often accompany treatment failure. Although subtype differences are widely studied, DRM comparisons between subtypes either focus on specific geographic regions or include populations with heterogeneous treatments. Methods. We characterized DRM patterns following first-line failure and their impact on future treatment in a global, multi-subtype reverse-transcriptase sequence dataset. We developed a hierarchical modeling approach to address the high-dimensional challenge of modeling and comparing frequencies of multiple DRMs in varying first-line regimens, durations, and subtypes. Drug resistance mutation co-occurrence was characterized using a novel application of a statistical network model. Results. In 1425 sequences, 202 subtype B, 696 C, 44 G, 351 circulating recombinant forms (CRF)01_AE, 58 CRF02_AG, and 74 from other subtypes mutation frequencies were higher in subtypes C and CRF01_AE compared with B overall. Mutation frequency increased by 9%-20% at reverse transcriptase positions 41, 67, 70, 184, 215, and 219 in subtype C and CRF01_AE vs B. Subtype C and CRF01_AE exhibited higher predicted cross-resistance (+12%-18%) to future therapy options compared with subtype B. Topologies of subtype mutation networks were mostly similar. Conclusions. We find clear differences in DRM outcomes following first-line failure, suggesting subtype-specific ecological or biological factors that determine DRM patterns.
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Affiliation(s)
| | | | - Xi Luo
- Brown University , Providence, Rhode Island
| | | | | | - Yasong Wu
- National Centre for AIDS/STD Control and Prevention, Chinese Centre for Disease Control and Prevention, Beijing Ditan Hospital, Capital Medical University , China
| | | | | | - Fujie Zhang
- National Centre for AIDS/STD Control and Prevention, Chinese Centre for Disease Control and Prevention, Beijing Ditan Hospital, Capital Medical University , China
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Hughes D, Andersson DI. Evolutionary consequences of drug resistance: shared principles across diverse targets and organisms. Nat Rev Genet 2015; 16:459-71. [DOI: 10.1038/nrg3922] [Citation(s) in RCA: 165] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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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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Getting to Know Viral Evolutionary Strategies: Towards the Next Generation of Quasispecies Models. Curr Top Microbiol Immunol 2015; 392:201-17. [PMID: 26271604 DOI: 10.1007/82_2015_457] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Viral populations are formed by complex ensembles of genomes with broad phenotypic diversity. The adaptive strategies deployed by these ensembles are multiple and often cannot be predicted a priori. Our understanding of viral dynamics is mostly based on two kinds of empirical approaches: one directed towards characterizing molecular changes underlying fitness changes and another focused on population-level responses. Simultaneously, theoretical efforts are directed towards developing a formal picture of viral evolution by means of more realistic fitness landscapes and reliable population dynamics models. New technologies, chiefly the use of next-generation sequencing and related tools, are opening avenues connecting the molecular and the population levels. In the near future, we hope to be witnesses of an integration of these still decoupled approaches, leading into more accurate and realistic quasispecies models able to capture robust generalities and endowed with a satisfactory predictive power.
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Diminished transmission of drug resistant HIV-1 variants with reduced replication capacity in a human transmission model. Retrovirology 2014; 11:113. [PMID: 25499671 PMCID: PMC4272521 DOI: 10.1186/s12977-014-0113-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2014] [Accepted: 11/25/2014] [Indexed: 11/17/2022] Open
Abstract
Background Different patterns of drug resistance are observed in treated and therapy naïve HIV-1 infected populations. Especially the NRTI-related M184I/V variants, which are among the most frequently encountered mutations in treated patients, are underrepresented in the antiretroviral naïve population. M184I/V mutations are known to have a profound effect on viral replication and tend to revert over time in the new host. However it is debated whether a diminished transmission efficacy of HIV variants with a reduced replication capacity can also contribute to the observed discrepancy in genotypic patterns. As dendritic cells (DCs) play a pivotal role in HIV-1 transmission, we used a model containing primary human Langerhans cells (LCs) and DCs to compare the transmission efficacy M184 variants (HIV-M184V/I/T) to HIV wild type (HIV-WT). As control, we used HIV harboring the NNRTI mutation K103N (HIV-K103N) which has a minor effect on replication and is found at a similar prevalence in treated and untreated individuals. Results In comparison to HIV-WT, the HIV-M184 variants were less efficiently transmitted to CCR5+ Jurkat T cells by both LCs and DCs. The transmission rate of HIV-K103N was slightly reduced to HIV-WT in LCs and even higher than HIV-WT in DCs. Replication experiments in CCR5+ Jurkat T cells revealed no apparent differences in replication capacity between the mutant viruses and HIV-WT. However, viral replication in LCs and DCs was in concordance with the transmission results; replication by the HIV-M184 variants was lower than replication by HIV-WT, and the level of replication of HIV-K103N was intermediate for LCs and higher than HIV-WT for DCs. Conclusions Our data demonstrate that drug resistant M184-variants display a reduced replication capacity in LCs and DCs which directly impairs their transmission efficacy. As such, diminished transmission efficacy may contribute to the lower prevalence of drug resistant variants in therapy naive individuals.
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Pingen M, Wensing AMJ, Fransen K, De Bel A, de Jong D, Hoepelman AIM, Magiorkinis E, Paraskevis D, Lunar MM, Poljak M, Nijhuis M, Boucher CAB. Persistence of frequently transmitted drug-resistant HIV-1 variants can be explained by high viral replication capacity. Retrovirology 2014; 11:105. [PMID: 25575025 PMCID: PMC4263067 DOI: 10.1186/s12977-014-0105-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2014] [Accepted: 11/05/2014] [Indexed: 11/10/2022] Open
Abstract
Background In approximately 10% of newly diagnosed individuals in Europe, HIV-1 variants harboring transmitted drug resistance mutations (TDRM) are detected. For some TDRM it has been shown that they revert to wild type while other mutations persist in the absence of therapy. To understand the mechanisms explaining persistence we investigated the in vivo evolution of frequently transmitted HIV-1 variants and their impact on in vitro replicative capacity. Results We selected 31 individuals infected with HIV-1 harboring frequently observed TDRM such as M41L or K103N in reverse transcriptase (RT) or M46L in protease. In all these samples, polymorphisms at non-TDRM positions were present at baseline (median protease: 5, RT: 6). Extensive analysis of viral evolution of protease and RT demonstrated that the majority of TDRM (51/55) persisted for at least a year and even up to eight years in the plasma. During follow-up only limited selection of additional polymorphisms was observed (median: 1). To investigate the impact of frequently observed TDRM on the replication capacity, mutant viruses were constructed with the most frequently encountered TDRM as site-directed mutants in the genetic background of the lab strain HXB2. In addition, viruses containing patient-derived protease or RT harboring similar TDRM were made. The replicative capacity of all viral variants was determined by infecting peripheral blood mononuclear cells and subsequently monitoring virus replication. The majority of site-directed mutations (M46I/M46L in protease and M41L, M41L + T215Y and K103N in RT) decreased viral replicative capacity; only protease mutation L90M did not hamper viral replication. Interestingly, most patient-derived viruses had a higher in vitro replicative capacity than the corresponding site-directed mutant viruses. Conclusions We demonstrate limited in vivo evolution of protease and RT harbouring frequently observed TDRM in the plasma. This is in line with the high in vitro replication capacity of patient-derived viruses harbouring TDRM compared to site-directed mutant viruses harbouring TDRM. As site-directed mutant viruses have a lower replication capacity than the patient-derived viruses with similar mutational patterns, we propose that (baseline) polymorphisms function as compensatory mutations improving viral replication capacity.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Charles A B Boucher
- Department of Virology, Viroscience Lab, Erasmus MC, Postbus 2040, Rotterdam, 3000 CA, the Netherlands.
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11
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Impact of drug resistance-associated amino acid changes in HIV-1 subtype C on susceptibility to newer nonnucleoside reverse transcriptase inhibitors. Antimicrob Agents Chemother 2014; 59:960-71. [PMID: 25421485 DOI: 10.1128/aac.04215-14] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
The objective of this study was to assess the phenotypic susceptibility of HIV-1 subtype C isolates, with nonnucleoside reverse transcriptase inhibitor (NNRTI) resistance-associated amino acid changes, to newer NNRTIs. A panel of 52 site-directed mutants and 38 clinically derived HIV-1 subtype C clones was created, and the isolates were assessed for phenotypic susceptibility to etravirine (ETR), rilpivirine (RPV), efavirenz (EFV), and nevirapine (NVP) in an in vitro single-cycle phenotypic assay. The amino acid substitutions E138Q/R, Y181I/V, and M230L conferred high-level resistance to ETR, while K101P and Y181I/V conferred high-level resistance to RPV. Y181C, a major NNRTI resistance-associated amino acid substitution, caused decreased susceptibility to ETR and, to a lesser extent, RPV when combined with other mutations. These included N348I and T369I, amino acid changes in the connection domain that are not generally assessed during resistance testing. However, the prevalence of these genotypes among subtype C sequences was, in most cases, <1%. The more common EFV/NVP resistance-associated substitutions, such as K103N, V106M, and G190A, had no major impact on ETR or RPV susceptibility. The low-level resistance to RPV and ETR conferred by E138K was not significantly enhanced in the presence of M184V/I, unlike for EFV and NVP. Among patient samples, 97% were resistant to EFV and/or NVP, while only 24% and 16% were resistant to ETR and RPV, respectively. Overall, only a few, relatively rare NNRTI resistance-associated amino acid substitutions caused resistance to ETR and/or RPV in an HIV-1 subtype C background, suggesting that these newer NNRTIs would be effective in NVP/EFV-experienced HIV-1 subtype C-infected patients.
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12
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Abstract
ABSTRACT: RNA viruses replicate their genomes with very high error rates, which leads to the generation of a large genetic diversity that makes them highly adaptable to most environmental pressures, including antiviral drugs and immune responses. However, since most mutations are deleterious, an excess of errors can be very negative for RNA viruses, entailing that error rates must be finely regulated. Currently, the manipulation of the error rate is emerging as a promising antiviral therapy that could minimize the problem of virus adaptation to classical treatments. This review provides a detailed analysis of the different outcomes that can result from the variation of the error rate in RNA viruses, on the basis of the more relevant findings obtained in experimental studies.
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Averted HIV infections due to expanded antiretroviral treatment eligibility offsets risk of transmitted drug resistance: a modeling study. AIDS 2014; 28:73-83. [PMID: 23921620 DOI: 10.1097/01.aids.0000433239.01611.52] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
BACKGROUND Earlier antiretroviral therapy initiation can reduce the incidence of HIV-1. This benefit can be offset by increased transmitted drug resistance (TDR). We compared the preventive benefits of reducing incident infections with the potential TDR increase in East Africa. METHODS A mathematical model was constructed to represent Kampala, Uganda, and Mombasa, Kenya. We predicted the effect of initiating treatment at different immunological thresholds (<350, <500 CD4 cells/μl) on infections averted and mutation-specific TDR prevalence over 10 years compared to initiating treatment at CD4 cell count below 200 cells/μl. RESULTS When initiating treatment at CD4 cell count below 350 cells/μl, we predict 18 [interquartile range (IQR) 11-31] and 46 (IQR 30-83) infections averted for each additional case of TDR in Kampala and Mombasa, respectively, and 22 (IQR 17-35) and 32 (IQR 21-57) infections averted when initiating at below 500. TDR is predicted to increase most strongly when initiating treatment at CD4 cell count below 500 cells/μl, from 8.3% (IQR 7.7-9.0%) and 12.3% (IQR 11.7-13.1%) in 2012 to 19.0% (IQR 16.5-21.8%) and 19.2% (IQR 17.1-21.5%) in 10 years in Kampala and Mombasa, respectively. The TDR epidemic at all immunological thresholds was comprised mainly of resistance to non-nucleoside reverse transcriptase inhibitors. When 80-100% of individuals with virological failure are timely switched to second-line therapy, TDR is predicted to decline irrespective of treatment initiation threshold. CONCLUSION Averted HIV infections due to the expansion of antiretroviral treatment eligibility offset the risk of transmitted drug resistance, as defined by more infections averted than TDR gained. The effectiveness of first-line non-nucleoside reverse transcriptase inhibitor-based therapy can be preserved by improving switching practices to second-line therapy.
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14
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Permar SR, Salazar MG, Gao F, Cai F, Learn GH, Kalilani L, Hahn BH, Shaw GM, Salazar-Gonzalez JF. Clonal amplification and maternal-infant transmission of nevirapine-resistant HIV-1 variants in breast milk following single-dose nevirapine prophylaxis. Retrovirology 2013; 10:88. [PMID: 23941304 PMCID: PMC3765243 DOI: 10.1186/1742-4690-10-88] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2013] [Accepted: 08/06/2013] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Intrapartum administration of single-dose nevirapine (sdNVP) reduces perinatal HIV-1 transmission in resource-limiting settings by half. Yet this strategy has limited effect on subsequent breast milk transmission, making the case for new treatment approaches to extend maternal/infant antiretroviral prophylaxis through the period of lactation. Maternal and transmitted infant HIV-1 variants frequently develop NVP resistance mutations following sdNVP, complicating subsequent treatment/prophylaxis regimens. However, it is not clear whether NVP-resistant viruses are transmitted via breastfeeding or arise de novo in the infant. FINDINGS We performed a detailed HIV genetic analysis using single genome sequencing to identify the origin of drug-resistant variants in an sdNVP-treated postnatally-transmitting mother-infant pair. Phylogenetic analysis of HIV sequences from the child revealed low-diversity variants indicating infection by a subtype C single transmitted/founder virus that shared full-length sequence identity with a clonally-amplified maternal breast milk virus variant harboring the K103N NVP resistance mutation. CONCLUSION In this mother/child pair, clonal amplification of maternal NVP-resistant HIV variants present in systemic and mammary gland compartments following intrapartum sdNVP represents one source of transmitted NVP-resistant variants that is responsible for the acquisition of drug resistant virus by the breastfeeding infant. This finding emphasizes the need for combination antiretroviral prophylaxis to prevent mother-to-child HIV transmission.
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Affiliation(s)
- Sallie R Permar
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC, USA
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15
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Koning FA, Castro H, Dunn D, Tilston P, Cane PA, Mbisa JL. Subtype-specific differences in the development of accessory mutations associated with high-level resistance to HIV-1 nucleoside reverse transcriptase inhibitors. J Antimicrob Chemother 2013; 68:1220-36. [PMID: 23386260 DOI: 10.1093/jac/dkt012] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES To identify accessory mutations associated with high-level resistance to reverse transcriptase (RT) inhibitors in HIV-1 subtypes B and C. METHODS Changes relative to the wild-type for codons 1-400 of RT were analysed from treatment-experienced patients infected with subtypes B (5464 patients) and C (1920 patients). Positions associated with the accumulation of mutations conferring resistance to thymidine analogues and to non-nucleoside RT inhibitors (NNRTIs) were identified. A subtype-specific single-replication cycle drug susceptibility assay was used to determine whether some of the mutations affected drug susceptibility or viral infectivity. RESULTS In subtype B, mutations at 31 and 26 positions were associated with the accumulation of thymidine analogue mutations (TAMs) and NNRTI mutations, respectively; in subtype C, 18 and 13 positions were identified, respectively. Amino acid changes at the following positions were differentially associated with (i) the accumulation of 0-4+ TAMs in subtypes B and C (away from consensus): 43 (27.0% B versus 2.5% C); 118 (36.4% B versus 16.2% C); 135 (12.5% B versus 28.0% C); and 326 (2.6% towards consensus in B versus 7.6% away in C) and (ii) the accumulation of 0-3+ NNRTI mutations (away from consensus): 43 (10.2% B versus 0.5% C); and 68 (5.2% B versus 10.3% C). Codon changes K43E, E44D and V118I were found to have no effect on susceptibility to three NRTIs with or without TAMs in either subtype; however, some accessory mutations had subtype-specific effects on viral infectivity. CONCLUSIONS Differences between subtypes B and C were observed in the development and effect of accessory mutations associated with high-level resistance to RT inhibitors.
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Affiliation(s)
- F A Koning
- Antiviral Unit, Virus Reference Department, Health Protection Agency, London, UK
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16
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HIV-1 resistance to maraviroc conferred by a CD4 binding site mutation in the envelope glycoprotein gp120. J Virol 2012; 87:923-34. [PMID: 23135713 DOI: 10.1128/jvi.01863-12] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Maraviroc (MVC) is a CCR5 antagonist that inhibits HIV-1 entry by binding to the coreceptor and inducing structural alterations in the extracellular loops. In this study, we isolated MVC-resistant variants from an HIV-1 primary isolate that arose after 21 weeks of tissue culture passage in the presence of inhibitor. gp120 sequences from passage control and MVC-resistant cultures were cloned into NL4-3 via yeast-based recombination followed by sequencing and drug susceptibility testing. Using 140 clones, three mutations were linked to MVC resistance, but none appeared in the V3 loop as was the case with previous HIV-1 strains resistant to CCR5 antagonists. Rather, resistance was dependent upon a single mutation in the C4 region of gp120. Chimeric clones bearing this N425K mutation replicated at high MVC concentrations and displayed significant shifts in 50% inhibitory concentrations (IC(50)s), characteristic of resistance to all other antiretroviral drugs but not typical of MVC resistance. Previous reports on MVC resistance describe an ability to use a drug-bound form of the receptor, leading to reduction in maximal drug inhibition. In contrast, our structural models on K425 gp120 suggest that this resistant mutation impacts CD4 interactions and highlights a novel pathway for MVC resistance.
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Song H, Pavlicek JW, Cai F, Bhattacharya T, Li H, Iyer SS, Bar KJ, Decker JM, Goonetilleke N, Liu MKP, Berg A, Hora B, Drinker MS, Eudailey J, Pickeral J, Moody MA, Ferrari G, McMichael A, Perelson AS, Shaw GM, Hahn BH, Haynes BF, Gao F. Impact of immune escape mutations on HIV-1 fitness in the context of the cognate transmitted/founder genome. Retrovirology 2012; 9:89. [PMID: 23110705 PMCID: PMC3496648 DOI: 10.1186/1742-4690-9-89] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2012] [Accepted: 10/07/2012] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND A modest change in HIV-1 fitness can have a significant impact on viral quasispecies evolution and viral pathogenesis, transmission and disease progression. To determine the impact of immune escape mutations selected by cytotoxic T lymphocytes (CTL) on viral fitness in the context of the cognate transmitted/founder (T/F) genome, we developed a new competitive fitness assay using molecular clones of T/F genomes lacking exogenous genetic markers and a highly sensitive and precise parallel allele-specific sequencing (PASS) method. RESULTS The T/F and mutant viruses were competed in CD4+ T-cell enriched cultures, relative proportions of viruses were assayed after repeated cell-free passage, and fitness costs were estimated by mathematical modeling. Naturally occurring HLA B57-restricted mutations involving the TW10 epitope in Gag and two epitopes in Tat/Rev and Env were assessed independently and together. Compensatory mutations which restored viral replication fitness were also assessed. A principal TW10 escape mutation, T242N, led to a 42% reduction in replication fitness but V247I and G248A mutations in the same epitope restored fitness to wild-type levels. No fitness difference was observed between the T/F and a naturally selected variant carrying the early CTL escape mutation (R355K) in Env and a reversion mutation in the Tat/Rev overlapping region. CONCLUSIONS These findings reveal a broad spectrum of fitness costs to CTL escape mutations in T/F viral genomes, similar to recent findings reported for neutralizing antibody escape mutations, and highlight the extraordinary plasticity and adaptive potential of the HIV-1 genome. Analysis of T/F genomes and their evolved progeny is a powerful approach for assessing the impact of composite mutational events on viral fitness.
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Affiliation(s)
- Hongshuo Song
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA
| | - Jeffrey W Pavlicek
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA
| | - Fangping Cai
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA
| | - Tanmoy Bhattacharya
- Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA
- The Santa Fe Institute, Santa Fe, NM, 87501, USA
| | - Hui Li
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Shilpa S Iyer
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Katharine J Bar
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Julie M Decker
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Nilu Goonetilleke
- Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, England, OX3 9DS, UK
| | - Michael KP Liu
- Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, England, OX3 9DS, UK
| | - Anna Berg
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA
| | - Bhavna Hora
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA
| | - Mark S Drinker
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA
| | - Josh Eudailey
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA
| | - Joy Pickeral
- Department of Surgery, Duke University Medical Center, Durham, NC, 27710, USA
| | - M Anthony Moody
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA
- Department of Pediatrics, Duke University Medical Center, Durham, NC 27710, USA
| | - Guido Ferrari
- Department of Surgery, Duke University Medical Center, Durham, NC, 27710, USA
| | - Andrew McMichael
- Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, England, OX3 9DS, UK
| | - Alan S Perelson
- Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA
| | - George M Shaw
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Microbiology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Beatrice H Hahn
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Microbiology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Barton F Haynes
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA
- Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA
- Department of Immunology, Duke University Medical Center, Durham, NC, 27710, USA
| | - Feng Gao
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC 27710, USA
- Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA
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