Abstract

The coreceptor used by HIV-1 must be determined before a CCR5 antagonist, part of the arsenal of antiretroviral drugs, is prescribed because viruses that enter cells using the CXCR4 coreceptor are responsible for treatment failure. HIV-1 tropism is also correlated with disease progression and so must be determined for virological studies. Tropism can be determined by next-generation sequencing (NGS), but not all of these new technologies have been fully validated for use in clinical practice. The Illumina NGS technology is used in many laboratories but its ability to predict HIV-1 tropism has not been evaluated while the 454 GS-Junior (Roche) is used for routine diagnosis. The genotypic prediction of HIV-1 tropism is based on sequencing the V3 region and interpreting the results with an appropriate algorithm. We compared the performances of the MiSeq (Illumina) and 454 GS-Junior (Roche) systems with a reference phenotypic assay. We used clinical samples for the NGS tropism predictions and assessed their ability to quantify CXCR4-using variants. The data show that the Illumina platform can be used to detect minor CXCR4-using variants in clinical practice but technical optimization are needed to improve quantification.

Highlights

  • We assessed the analytical performance of the MiSeq Illumina deep sequencing system for determining Human immunodeficiency virus (HIV)-1 coreceptor use and compared it to that of the 454 GS-Junior Roche method

  • The capacities of the two deep sequencing methods for determining HIV-1 tropism in clinical samples were compared to the reference phenotypic method

  • We first determined the error rate of the NGS resulting from PCR bias and sequencing errors

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Summary

Introduction

We evaluated the capacity of the MiSeq and 454 GS-Junior systems to accurately quantify CXCR4-using variants by comparing the percentages of X4 variants in 11 samples with concordant detection of X4 variants (Table 2). We assessed the analytical performance of the MiSeq Illumina deep sequencing system for determining HIV-1 coreceptor use and compared it to that of the 454 GS-Junior Roche method. The capacities of the two deep sequencing methods for determining HIV-1 tropism in clinical samples were compared to the reference phenotypic method.

Results
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