Literature DB >> 22238474

Study of genotypic and phenotypic HIV-1 dynamics of integrase mutations during raltegravir treatment: a refined analysis by ultra-deep 454 pyrosequencing.

Daniele Armenia1, Ina Vandenbroucke, Lavinia Fabeni, Herwig Van Marck, Valeria Cento, Roberta D'Arrigo, Liesbeth Van Wesenbeeck, Fernanda Scopelliti, Valeria Micheli, Bianca Bruzzone, Sergio Lo Caputo, Jeroen Aerssens, Giuliano Rizzardini, Valerio Tozzi, Pasquale Narciso, Andrea Antinori, Lieven Stuyver, Carlo Federico Perno, Francesca Ceccherini-Silberstein.   

Abstract

BACKGROUND: The dynamics of raltegravir-resistant variants and their impact on virologic response in 23 HIV-1-infected patients, who started a salvage raltegravir-containing regimen, were investigated.
METHODS: Integrase population sequencing and Ultra-Deep-454 Pyrosequencing (UDPS) were performed on plasma samples at baseline and at raltegravir failure. All integrase mutations detected at a frequency ≥1% were considered to be reliable for the UDPS analyses. Phylogenetic and phenotypic resistance analyses were also performed.
RESULTS: At baseline, primary resistance mutations were not detected by both population and UDPS genotypic assays; few secondary mutations (T97A-V151I-G163R) were rarely detected and did not show any statistically association either with virologic response at 24-weeks or with the development of resistant variants at failure. At UDPS, not all resistant variants appearing early during treatment evolved as major populations during failure; only specific resistance pathways (Y143R-Q148H/R-N155H) associated with an increased rate of fitness and phenotypic resistance were selected.
CONCLUSIONS: Resistance to raltegravir in integrase strand transfer inhibitor-naive patients remains today a rare event, which might be changed by future extensive use of such drugs. In our study, pathways of resistance at failure were not predicted by baseline mutations, suggesting that evolution plus stochastic selection plays a major role in the appearance of integrase-resistance mutations, whereas fitness and resistance are dominant factors acting for the late selection of resistant quasispecies.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22238474      PMCID: PMC3266134          DOI: 10.1093/infdis/jir821

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


  45 in total

Review 1.  The discovery of raltegravir, an integrase inhibitor for the treatment of HIV infection.

Authors:  Michael Rowley
Journal:  Prog Med Chem       Date:  2008

2.  Inferring evolutionary trees with PAUP*.

Authors:  James C Wilgenbusch; David Swofford
Journal:  Curr Protoc Bioinformatics       Date:  2003-02

3.  Bias in template-to-product ratios in multitemplate PCR.

Authors:  M F Polz; C M Cavanaugh
Journal:  Appl Environ Microbiol       Date:  1998-10       Impact factor: 4.792

Review 4.  Low-frequency HIV-1 drug resistance mutations can be clinically significant but must be interpreted with caution.

Authors:  Jeffrey A Johnson; Anna Maria Geretti
Journal:  J Antimicrob Chemother       Date:  2010-05-13       Impact factor: 5.790

5.  Low-frequency K103N strengthens the impact of transmitted drug resistance on virologic responses to first-line efavirenz or nevirapine-based highly active antiretroviral therapy.

Authors:  Anna Maria Geretti; Zoe V Fox; Clare L Booth; Colette J Smith; Andrew N Phillips; Margaret Johnson; Jin-Fen Li; Walid Heneine; Jeffrey A Johnson
Journal:  J Acquir Immune Defic Syndr       Date:  2009-12       Impact factor: 3.731

6.  HIV-1 V3 envelope deep sequencing for clinical plasma specimens failing in phenotypic tropism assays.

Authors:  Ina Vandenbroucke; Herwig Van Marck; Wendy Mostmans; Veerle Van Eygen; Evelien Rondelez; Kim Thys; Kurt Van Baelen; Katrien Fransen; Dolores Vaira; Kabamba Kabeya; Stephane De Wit; Eric Florence; Michel Moutschen; Linos Vandekerckhove; Chris Verhofstede; Lieven J Stuyver
Journal:  AIDS Res Ther       Date:  2010-02-15       Impact factor: 2.250

7.  Prevalence and clinical significance of HIV drug resistance mutations by ultra-deep sequencing in antiretroviral-naïve subjects in the CASTLE study.

Authors:  Max Lataillade; Jennifer Chiarella; Rong Yang; Steven Schnittman; Victoria Wirtz; Jonathan Uy; Daniel Seekins; Mark Krystal; Marco Mancini; Donnie McGrath; Birgitte Simen; Michael Egholm; Michael Kozal
Journal:  PLoS One       Date:  2010-06-03       Impact factor: 3.240

8.  Rapid and durable antiretroviral effect of the HIV-1 Integrase inhibitor raltegravir as part of combination therapy in treatment-naive patients with HIV-1 infection: results of a 48-week controlled study.

Authors:  Martin Markowitz; Bach-Yen Nguyen; Eduardo Gotuzzo; Fernando Mendo; Winai Ratanasuwan; Colin Kovacs; Guillermo Prada; Javier O Morales-Ramirez; Clyde S Crumpacker; Robin D Isaacs; Lucinda R Gilde; Hong Wan; Michael D Miller; Larissa A Wenning; Hedy Teppler
Journal:  J Acquir Immune Defic Syndr       Date:  2007-10-01       Impact factor: 3.731

9.  Clade-specific HIV-1 integrase polymorphisms do not reduce raltegravir and elvitegravir phenotypic susceptibility.

Authors:  Kurt Van Baelen; Veerle Van Eygen; Evelien Rondelez; Lieven J Stuyver
Journal:  AIDS       Date:  2008-09-12       Impact factor: 4.177

10.  A pyrosequencing-tailored nucleotide barcode design unveils opportunities for large-scale sample multiplexing.

Authors:  Poornima Parameswaran; Roxana Jalili; Li Tao; Shadi Shokralla; Baback Gharizadeh; Mostafa Ronaghi; Andrew Z Fire
Journal:  Nucleic Acids Res       Date:  2007-10-11       Impact factor: 16.971

View more
  25 in total

1.  HIV Drug Resistance and the Advent of Integrase Inhibitors.

Authors:  Peter K Quashie; Thibault Mesplède; Mark A Wainberg
Journal:  Curr Infect Dis Rep       Date:  2013-02       Impact factor: 3.725

Review 2.  The Role of HIV-1 Drug-Resistant Minority Variants in Treatment Failure.

Authors:  Natalia Stella-Ascariz; José Ramón Arribas; Roger Paredes; Jonathan Z Li
Journal:  J Infect Dis       Date:  2017-12-01       Impact factor: 5.226

3.  2019 update of the drug resistance mutations in HIV-1.

Authors:  Annemarie M Wensing; Vincent Calvez; Francesca Ceccherini-Silberstein; Charlotte Charpentier; Huldrych F Günthard; Roger Paredes; Robert W Shafer; Douglas D Richman
Journal:  Top Antivir Med       Date:  2019-09

4.  Targeted deep sequencing of HIV-1 using the IonTorrentPGM platform.

Authors:  Gustavo H Kijak; Eric Sanders-Buell; Elizabeth A Harbolick; Phuc Pham; Agnes L Chenine; Leigh Anne Eller; Kathleen Rono; Merlin L Robb; Nelson L Michael; Jerome H Kim; Sodsai Tovanabutra
Journal:  J Virol Methods       Date:  2014-05-04       Impact factor: 2.014

5.  Next-Generation Sequencing to Help Monitor Patients Infected with HIV: Ready for Clinical Use?

Authors:  Richard M Gibson; Christine L Schmotzer; Miguel E Quiñones-Mateu
Journal:  Curr Infect Dis Rep       Date:  2014-04       Impact factor: 3.725

6.  Dengue Virus Evolution under a Host-Targeted Antiviral.

Authors:  Emily Plummer; Michael D Buck; Marisa Sanchez; Jason A Greenbaum; Julia Turner; Rajvir Grewal; Brennan Klose; Aruna Sampath; Kelly L Warfield; Bjoern Peters; Urban Ramstedt; Sujan Shresta
Journal:  J Virol       Date:  2015-03-11       Impact factor: 5.103

7.  Clinical implications of HIV-1 minority variants.

Authors:  Jonathan Z Li; Daniel R Kuritzkes
Journal:  Clin Infect Dis       Date:  2013-02-27       Impact factor: 9.079

Review 8.  Deep sequencing: becoming a critical tool in clinical virology.

Authors:  Miguel E Quiñones-Mateu; Santiago Avila; Gustavo Reyes-Teran; Miguel A Martinez
Journal:  J Clin Virol       Date:  2014-06-24       Impact factor: 3.168

Review 9.  Recent Advances in the Development of Integrase Inhibitors for HIV Treatment.

Authors:  Jay Trivedi; Dinesh Mahajan; Russell J Jaffe; Arpan Acharya; Debashis Mitra; Siddappa N Byrareddy
Journal:  Curr HIV/AIDS Rep       Date:  2020-02       Impact factor: 5.071

10.  Comparison of pyrosequencing, Sanger sequencing, and melting curve analysis for detection of low-frequency macrolide-resistant mycoplasma pneumoniae quasispecies in respiratory specimens.

Authors:  Kwok-Hung Chan; Kelvin K W To; Betsy W K Chan; Clara P Y Li; Susan S Chiu; Kwok-Yung Yuen; Pak-Leung Ho
Journal:  J Clin Microbiol       Date:  2013-05-29       Impact factor: 5.948

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.