Literature DB >> 21557669

Short communication prevalence of susceptibility to etravirine by genotype and phenotype in samples received for routine HIV type 1 resistance testing in the United States.

Gaston Picchio1, Johan Vingerhoets, Lotke Tambuyzer, Eoin Coakley, Mojgan Haddad, James Witek.   

Abstract

Abstract The prevalence of susceptibility to etravirine was investigated among clinical samples submitted for routine clinical testing in the United States using two separate weighted genotypic scoring systems. The presence of etravirine mutations and susceptibility to etravirine by phenotype of clinical samples from HIV-1-infected patients, submitted to Monogram Biosciences for routine resistance testing between June 2008 and June 2009, were analyzed. Susceptibility by genotype was determined using the Monogram and Tibotec etravirine-weighted genotypic scoring systems, with scores of ≤3 and ≤2, respectively, indicating full susceptibility. Susceptibility by phenotype was determined using the PhenoSense HIV assay, with lower and higher clinical cut-offs of 2.9 and 10, respectively. The frequency of individual etravirine mutations and the impact of the K103N mutation on susceptibility to etravirine by genotype were also determined. Among the 5482 samples with ≥1 defined nonnucleoside reverse transcriptase inhibitor (NNRTI) mutations associated with resistance, 67% were classed as susceptible to etravirine by genotype by both scoring systems. Susceptibility to etravirine by phenotype was higher (76%). The proportion of first-generation NNRTI-resistant samples with (n=3598) and without (n=1884) K103N with susceptibility to etravirine by genotype was 77% and 49%, respectively. Among samples susceptible to first-generation NNRTIs (n=9458), >99% of samples were susceptible to etravirine by phenotype (FC <2.9); the remaining samples had FC ≥2.9-10. In summary, among samples submitted for routine clinical testing in the United States, a high proportion of samples with first-generation NNRTI resistance was susceptible to etravirine by genotype and phenotype. A higher proportion of NNRTI-resistant samples with K103N than without was susceptible to etravirine.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21557669     DOI: 10.1089/AID.2011.0049

Source DB:  PubMed          Journal:  AIDS Res Hum Retroviruses        ISSN: 0889-2229            Impact factor:   2.205


  7 in total

1.  Discordance between Etravirine Phenotype and Genotype-Based Predicted Phenotype for Subtype C HIV-1 from First-Line Antiretroviral Therapy Failures in South Africa.

Authors:  Kevin D McCormick; Kerri J Penrose; Chanson J Brumme; P Richard Harrigan; Raquel V Viana; John W Mellors; Urvi M Parikh; Carole L Wallis
Journal:  Antimicrob Agents Chemother       Date:  2020-04-21       Impact factor: 5.191

2.  Biotransformation of the antiretroviral drug etravirine: metabolite identification, reaction phenotyping, and characterization of autoinduction of cytochrome P450-dependent metabolism.

Authors:  Lindsay J Yanakakis; Namandjé N Bumpus
Journal:  Drug Metab Dispos       Date:  2012-01-23       Impact factor: 3.922

3.  A randomized clinical trial evaluating therapeutic drug monitoring (TDM) for protease inhibitor-based regimens in antiretroviral-experienced HIV-infected individuals: week 48 results of the A5146 study.

Authors:  Mary Albrecht; A Lisa Mukherjee; Camlin Tierney; Gene D Morse; Carrie Dykes; Karin L Klingman; Lisa M Demeter
Journal:  HIV Clin Trials       Date:  2011 Jul-Aug

Review 4.  HIV-1 antiretroviral resistance: scientific principles and clinical applications.

Authors:  Michele W Tang; Robert W Shafer
Journal:  Drugs       Date:  2012-06-18       Impact factor: 9.546

5.  Decreased phenotypic susceptibility to etravirine in patients with predicted genotypic sensitivity.

Authors:  Eva Agneskog; Piotr Nowak; Catharina Maijgren Steffensson; Maria Casadellà; Marc Noguera-Julian; Roger Paredes; Clas F R Källander; Anders Sönnerborg
Journal:  PLoS One       Date:  2014-07-07       Impact factor: 3.240

6.  Role of Rilpivirine and Etravirine in Efavirenz and Nevirapine-Based Regimens Failure in a Resource-Limited Country: A Cross- Sectional Study.

Authors:  Phairote Teeranaipong; Sunee Sirivichayakul; Suwanna Mekprasan; Pirapon June Ohata; Anchalee Avihingsanon; Kiat Ruxrungtham; Opass Putcharoen
Journal:  PLoS One       Date:  2016-04-27       Impact factor: 3.240

7.  Collaborative update of a rule-based expert system for HIV-1 genotypic resistance test interpretation.

Authors:  Roger Paredes; Philip L Tzou; Gert van Zyl; Geoff Barrow; Ricardo Camacho; Sergio Carmona; Philip M Grant; Ravindra K Gupta; Raph L Hamers; P Richard Harrigan; Michael R Jordan; Rami Kantor; David A Katzenstein; Daniel R Kuritzkes; Frank Maldarelli; Dan Otelea; Carole L Wallis; Jonathan M Schapiro; Robert W Shafer
Journal:  PLoS One       Date:  2017-07-28       Impact factor: 3.752

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.