Literature DB >> 12394790

Phenotypic and genotypic HIV-1 drug resistance assays provide complementary information.

Neil Parkin1, Colombe Chappey, Laura Maroldo, Michael Bates, Nicholas S Hellmann, Christos J Petropoulos.   

Abstract

To determine the extent to which genotype (GT) or phenotype (PT) methods provide HIV-1 drug resistance information that is overlapping or complementary, both tests were performed on 1378 patient plasma samples. Discordance, defined as determination of reduced susceptibility measured by PT but sensitivity by GT (PT-R/GT-S), or vice versa (PT-S/GT-R), was common: 83, 62, 43, and 28% of samples with evidence of drug resistance had at least 1, 2, 3, or 4 drugs discordant, respectively. Three types of discordance were observed: PT-R/GT-S, and PT-S/GT-R with or without the presence of mixtures at resistance-associated positions (25%, 34%, and 41% of all discordance, respectively). After accounting for mixtures, results for didanosine (30%), zalcitabine (18%), tenofovir (17%), abacavir (14%), lamivudine (12%), and amprenavir (11%) were discordant in >or= 10% of samples. PT-S/GT-R results were most common for didanosine and zalcitabine, whereas PT-R/GT-S results were most common for lamivudine and amprenavir. PT provided quantitative assessment of the degree of reduced susceptibility and identified reduced susceptibility (PT-R/GT-S) or normal susceptibility (PT-S/GT-R) that was not recognized by the GT interpretation algorithm. GT provided valuable information when mixtures were present and minor populations of drug resistant virus were not detected by phenotyping (PT-S/GT-R results). This demonstrates the complementary nature of information provided by PT and GT tests and suggests that their combined use can provide additional clinically-relevant information.

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Year:  2002        PMID: 12394790     DOI: 10.1097/00126334-200210010-00002

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


  9 in total

1.  HIV-1 protease and reverse transcriptase mutation patterns responsible for discordances between genotypic drug resistance interpretation algorithms.

Authors:  Jaideep Ravela; Bradley J Betts; Francoise Brun-Vézinet; Anne-Mieke Vandamme; Diane Descamps; Kristel van Laethem; Kate Smith; Jonathan M Schapiro; Dean L Winslow; Caroline Reid; Robert W Shafer
Journal:  J Acquir Immune Defic Syndr       Date:  2003-05-01       Impact factor: 3.731

2.  The K101P and K103R/V179D mutations in human immunodeficiency virus type 1 reverse transcriptase confer resistance to nonnucleoside reverse transcriptase inhibitors.

Authors:  Neil T Parkin; Soumi Gupta; Colombe Chappey; Christos J Petropoulos
Journal:  Antimicrob Agents Chemother       Date:  2006-01       Impact factor: 5.191

3.  Novel method for simultaneous quantification of phenotypic resistance to maturation, protease, reverse transcriptase, and integrase HIV inhibitors based on 3'Gag(p2/p7/p1/p6)/PR/RT/INT-recombinant viruses: a useful tool in the multitarget era of antiretroviral therapy.

Authors:  Jan Weber; Ana C Vazquez; Dane Winner; Justine D Rose; Doug Wylie; Ariel M Rhea; Kenneth Henry; Jennifer Pappas; Alison Wright; Nizar Mohamed; Richard Gibson; Benigno Rodriguez; Vicente Soriano; Kevin King; Eric J Arts; Paul D Olivo; Miguel E Quiñones-Mateu
Journal:  Antimicrob Agents Chemother       Date:  2011-05-31       Impact factor: 5.191

4.  Comparison of laboratory methods for analysis of non-nucleoside reverse transcriptase inhibitor resistance in Ugandan infants.

Authors:  Jessica D Church; Wei Huang; Neil Parkin; Natalia Marlowe; Laura A Guay; Saad B Omer; Philippa Musoke; J Brooks Jackson; Susan H Eshleman
Journal:  AIDS Res Hum Retroviruses       Date:  2009-07       Impact factor: 2.205

5.  The entry of entry inhibitors: a fusion of science and medicine.

Authors:  John P Moore; Robert W Doms
Journal:  Proc Natl Acad Sci U S A       Date:  2003-09-05       Impact factor: 11.205

6.  Characterization of a novel human immunodeficiency virus type 1 protease inhibitor, A-790742.

Authors:  Tatyana Dekhtyar; Teresa I Ng; Liangjun Lu; Sherie Masse; David A DeGoey; William J Flosi; David J Grampovnik; Larry L Klein; Dale J Kempf; Akhteruzzaman Molla
Journal:  Antimicrob Agents Chemother       Date:  2008-01-22       Impact factor: 5.191

7.  Impact of human immunodeficiency virus type 1 reverse transcriptase inhibitor drug resistance mutation interactions on phenotypic susceptibility.

Authors:  Vinod Trivedi; Jana Von Lindern; Miguel Montes-Walters; Daniel R Rojo; Elisabeth J Shell; Neil Parkin; William A O'Brien; Monique R Ferguson
Journal:  AIDS Res Hum Retroviruses       Date:  2008-10       Impact factor: 2.205

Review 8.  HIV Resistance Prediction to Reverse Transcriptase Inhibitors: Focus on Open Data.

Authors:  Olga Tarasova; Vladimir Poroikov
Journal:  Molecules       Date:  2018-04-19       Impact factor: 4.411

9.  Impact of HIV-1 Resistance-Associated Mutations on Susceptibility to Doravirine: Analysis of Real-World Clinical Isolates.

Authors:  Ernest Asante-Appiah; Johnny Lai; Hong Wan; Dongmei Yang; Elizabeth Anne Martin; Peter Sklar; Daria Hazuda; Christos J Petropoulos; Charles Walworth; Jay A Grobler
Journal:  Antimicrob Agents Chemother       Date:  2021-09-27       Impact factor: 5.191

  9 in total

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