Correlation between genotypic predictions based on V3 sequences and phenotypic determination of HIV-1 tropism

Stéphanie Raymond(Inserm), Pierre Delobel(Hôpital Purpan), Maud Mavigner(Inserm), Michelle Cazabat(Centre Hospitalier Universitaire de Toulouse), Corinne Souyris(Centre Hospitalier Universitaire de Toulouse), Karine Sauné(Hôpital Purpan), Lise Cuzin(Hôpital Purpan), B. Marchou(Hôpital Purpan), Patrice Massip(Université Toulouse III - Paul Sabatier), Jacques Izopet(Hôpital Purpan)
AIDS
August 27, 2008
Cited by 127

Abstract

OBJECTIVE: Replacing phenotypic assays with simple genotypic predictions of HIV-1 coreceptor usage would make the clinical use of CCR5 antagonists easier. DESIGN: Paired genotypic and phenotypic determination of HIV-1 coreceptor usage was performed to assess several genotypic approaches for detecting CXCR4-using and CCR5-using viruses in a clinical setting. METHODS: HIV-1 coreceptor usage was prospectively assessed using plasma samples from 103 patients who were candidates for treatment with a CCR5 antagonist. Direct sequencing of the V3 region and a sensitive recombinant virus phenotypic entry assay were performed in parallel for each patient from the same bulk env PCR product. RESULTS: The 103 patients had a median CD4+ T lymphocyte count of 268 x 10(6)cells/l and nadirs of 98 x 10(6)cells/l. Paired genotypic and phenotypic data were obtained for 98 of the 103 patients. For detecting CXCR4-using viruses, the genotypic rule based on amino-acid residues at positions 11/25 and the overall net charge of V3 was 77% sensitive and 96% specific. The Geno2pheno bioinformatic tool was 88% sensitive and 87% specific. The WebPSSM tool prediction with the SI/NSI matrix was 77% sensitive and 94% specific. The global concordance between genotypic and phenotypic data was 91% with the rule combining the amino-acid residues at positions 11/25 and V3 net charge. CONCLUSION: Genotypic predictions performed well in paired genotypic and phenotypic assessment of HIV-1 coreceptor usage. Multicenter studies analyzing the correlations between the genotypic determination of HIV-1 tropism and clinical response to CCR5 antagonists are needed to validate this approach in clinical practice.


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