Literature DB >> 16540937

The calculated genetic barrier for antiretroviral drug resistance substitutions is largely similar for different HIV-1 subtypes.

David A van de Vijver1, Annemarie M J Wensing, Gioacchino Angarano, Birgitta Asjö, Claudia Balotta, Enzo Boeri, Ricardo Camacho, Marie-Laure Chaix, Dominique Costagliola, Andrea De Luca, Inge Derdelinckx, Zehava Grossman, Osamah Hamouda, Angelos Hatzakis, Robert Hemmer, Andy Hoepelman, Andrzej Horban, Klaus Korn, Claudia Kücherer, Thomas Leitner, Clive Loveday, Eilidh MacRae, Irina Maljkovic, Carmen de Mendoza, Laurence Meyer, Claus Nielsen, Eline L M Op de Coul, Vidar Ormaasen, Dimitris Paraskevis, Luc Perrin, Elisabeth Puchhammer-Stöckl, Lidia Ruiz, Mika Salminen, Jean-Claude Schmit, Francois Schneider, Rob Schuurman, Vincent Soriano, Grzegorz Stanczak, Maja Stanojevic, Anne-Mieke Vandamme, Kristel Van Laethem, Michela Violin, Karin Wilbe, Sabine Yerly, Maurizio Zazzi, Charles A B Boucher.   

Abstract

BACKGROUND: The genetic barrier, defined as the number of mutations required to overcome drug-selective pressure, is an important factor for the development of HIV drug resistance. Because of high variability between subtypes, particular HIV-1 subtypes could have different genetic barriers for drug resistance substitutions. This study compared the genetic barrier between subtypes using some 2000 HIV-1 sequences (>600 of non-B subtype) isolated from anti-retroviral-naive patients in Europe.
METHODS: The genetic barrier was calculated as the sum of transitions (scored as 1) and/or transversions (2.5) required for evolution to any major drug resistance substitution. In addition, the number of minor protease substitutions was determined for every subtype.
RESULTS: Few dissimilarities were found. An increased genetic barrier was calculated for I82A (subtypes C and G), V108I (subtype G), V118I (subtype G), Q151M (subtypes D and F), L210W (subtypes C, F, G, and CRF02_AG), and P225H (subtype A) (P < 0.001 compared with subtype B). A decreased genetic barrier was found for I82T (subtypes C and G) and V106M (subtype C) (P < 0.001 vs subtype B). Conversely, minor protease substitutions differed extensively between subtypes.
CONCLUSIONS: Based on the calculated genetic barrier, the rate of drug resistance development may be similar for different HIV-1 subtypes. Because of differences in minor protease substitutions, protease inhibitor resistance could be enhanced in particular subtypes once the relevant major substitutions are selected.

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Year:  2006        PMID: 16540937     DOI: 10.1097/01.qai.0000209899.05126.e4

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.731


  36 in total

1.  Comparative analysis of drug resistance among B and the most prevalent non-B HIV type 1 subtypes (C, F, and CRF02_AG) in Italy.

Authors:  Maria Mercedes Santoro; Claudia Alteri; Luigi Ronga; Philippe Flandre; Lavinia Fabeni; Fabio Mercurio; Roberta D'Arrigo; Caterina Gori; Guido Palamara; Ada Bertoli; Federica Forbici; Romina Salpini; Evangelo Boumis; Valerio Tozzi; Ubaldo Visco-Comandini; Mauro Zaccarelli; Margriet Van Houtte; Theresa Pattery; Pasquale Narciso; Andrea Antinori; Francesca Ceccherini-Silberstein; Carlo Federico Perno
Journal:  AIDS Res Hum Retroviruses       Date:  2012-04-18       Impact factor: 2.205

2.  Impact of HIV type 1 subtype on drug resistance mutations in Nigerian patients failing first-line therapy.

Authors:  B Chaplin; G Eisen; J Idoko; D Onwujekwe; E Idigbe; I Adewole; W Gashau; S Meloni; A D Sarr; J L Sankalé; E Ekong; R L Murphy; P Kanki
Journal:  AIDS Res Hum Retroviruses       Date:  2010-10-21       Impact factor: 2.205

Review 3.  Human immunodeficiency virus type 1 subtype distribution in the worldwide epidemic: pathogenetic and therapeutic implications.

Authors:  L Buonaguro; M L Tornesello; F M Buonaguro
Journal:  J Virol       Date:  2007-07-18       Impact factor: 5.103

Review 4.  HIV-1 drug resistance mutations: an updated framework for the second decade of HAART.

Authors:  Robert W Shafer; Jonathan M Schapiro
Journal:  AIDS Rev       Date:  2008 Apr-Jun       Impact factor: 2.500

5.  An Evolutionary Model-Based Approach To Quantify the Genetic Barrier to Drug Resistance in Fast-Evolving Viruses and Its Application to HIV-1 Subtypes and Integrase Inhibitors.

Authors:  Kristof Theys; Pieter J K Libin; Kristel Van Laethem; Ana B Abecasis
Journal:  Antimicrob Agents Chemother       Date:  2019-07-25       Impact factor: 5.191

6.  Viral Genetic Diversity and Polymorphisms in a Cohort of HIV-1-Infected Patients Eligible for Initiation of Antiretroviral Therapy in Abuja, Nigeria.

Authors:  Karidia Diallo; Du-Ping Zheng; Erin K Rottinghaus; Orji Bassey; Chunfu Yang
Journal:  AIDS Res Hum Retroviruses       Date:  2015-02-05       Impact factor: 2.205

Review 7.  Phylogenetic inferences on HIV-1 transmission: implications for the design of prevention and treatment interventions.

Authors:  Bluma Brenner; Mark A Wainberg; Michel Roger
Journal:  AIDS       Date:  2013-04-24       Impact factor: 4.177

8.  Estimating the individualized HIV-1 genetic barrier to resistance using a nelfinavir fitness landscape.

Authors:  Kristof Theys; Koen Deforche; Gertjan Beheydt; Yves Moreau; Kristel van Laethem; Philippe Lemey; Ricardo J Camacho; Soo-Yon Rhee; Robert W Shafer; Eric Van Wijngaerden; Anne-Mieke Vandamme
Journal:  BMC Bioinformatics       Date:  2010-08-03       Impact factor: 3.169

9.  Bayesian network analyses of resistance pathways against efavirenz and nevirapine.

Authors:  Koen Deforche; Ricardo J Camacho; Zehave Grossman; Marcelo A Soares; Kristel Van Laethem; David A Katzenstein; P Richard Harrigan; Rami Kantor; Robert Shafer; Anne-Mieke Vandamme
Journal:  AIDS       Date:  2008-10-18       Impact factor: 4.177

10.  Hepatitis C virus genetic variability and the presence of NS5B resistance-associated mutations as natural polymorphisms in selected genotypes could affect the response to NS5B inhibitors.

Authors:  V C Di Maio; V Cento; C Mirabelli; A Artese; G Costa; S Alcaro; C F Perno; F Ceccherini-Silberstein
Journal:  Antimicrob Agents Chemother       Date:  2014-03-03       Impact factor: 5.191

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