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"Dynamic Range" of Inferred Phenotypic HIV Drug Resistance Values in Clinical Practice

Overview
Journal PLoS One
Date 2011 Mar 11
PMID 21390218
Citations 3
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Abstract

Background: 'Virtual' or inferred phenotypes (vPhenotypes) are commonly used to assess resistance to antiretroviral agents in patients failing therapy. In this study, we provide a clinical context for understanding vPhenotype values.

Methods: All HIV-infected persons enrolled in the British Columbia Drug Treatment Program with a baseline plasma viral load (pVL) and follow-up genotypic resistance and pVL results were included up to October 29, 2008 (N = 5,277). Change from baseline pVL was determined as a function of Virco vPhenotype, and the "dynamic range" (defined here by the 10th and 90th percentiles for fold-change in IC₅₀ amongst all patients) was estimated from the distribution of vPhenotye fold-changes across the cohort.

Results: The distribution of vPhenotypes from a large cohort of HIV patients who have failed therapy are presented for all available antiretroviral agents. A maximum change in IC₅₀ of at least 13-fold was observed for all drugs. The dideoxy drugs, tenofovir and most PIs exhibited small "dynamic ranges" with values of <4-fold change observed in > 99% of samples. In contrast, zidovudine, lamivudine, emtricitabine and the non-nucleoside reverse transcriptase inihibitors (excluding etravirine) had large dynamic ranges.

Conclusion: We describe the populational distribution of vPhenotypes such that vPhenotype results can be interpreted relative to other patients in a drug-specific manner.

Citing Articles

Characterization of the Drug Resistance Profiles of Patients Infected with CRF07_BC Using Phenotypic Assay and Ultra-Deep Pyrosequencing.

Huang S, Li W, Wang W, Lin Y, Chou C, Chen M PLoS One. 2017; 12(1):e0170420.

PMID: 28107423 PMC: 5249062. DOI: 10.1371/journal.pone.0170420.


HIV drug resistance detected during low-level viraemia is associated with subsequent virologic failure.

Swenson L, Min J, Woods C, Cai E, Li J, Montaner J AIDS. 2014; 28(8):1125-34.

PMID: 24451160 PMC: 4278403. DOI: 10.1097/QAD.0000000000000203.


Use of four next-generation sequencing platforms to determine HIV-1 coreceptor tropism.

Archer J, Weber J, Henry K, Winner D, Gibson R, Lee L PLoS One. 2012; 7(11):e49602.

PMID: 23166726 PMC: 3498215. DOI: 10.1371/journal.pone.0049602.

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