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

AIDS. 2008 Sep 12;22(14):F11-6. doi: 10.1097/QAD.0b013e32830ebcd4.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Base Sequence
  • Computational Biology
  • DNA Primers / genetics
  • Female
  • Genetic Engineering
  • Genetic Vectors / genetics
  • Genotype
  • HIV Envelope Protein gp120 / genetics*
  • HIV-1 / genetics*
  • HIV-1 / metabolism*
  • Humans
  • Male
  • Middle Aged
  • Molecular Sequence Data
  • Peptide Fragments / genetics*
  • Phenotype
  • Prospective Studies
  • Receptors, CCR5 / genetics
  • Receptors, CCR5 / metabolism*
  • Receptors, CXCR4 / antagonists & inhibitors
  • Receptors, CXCR4 / genetics
  • Receptors, CXCR4 / metabolism*
  • Reverse Transcriptase Polymerase Chain Reaction / methods
  • Sequence Analysis, Protein

Substances

  • DNA Primers
  • HIV Envelope Protein gp120
  • HIV envelope protein gp120 (305-321)
  • Peptide Fragments
  • Receptors, CCR5
  • Receptors, CXCR4