OBJECTIVES: To develop a sensitive phenotypic assay based on recombinant viruses (RVs) for characterizing HIV-1 tropism. METHODS: Viral tropism was assessed in 159 plasma samples. The env gene was amplified and ligated into pNL-lacZ/env-Ren, which carries a luciferase reporter gene. Resulting constructs were transfected into HEK293T cells to generate RVs. To assess co-receptor tropism, U87.CD4.CXCR4/CCR5 cells were infected and luciferase activity was measured. RESULTS: RVs containing env from different HIV-1 subtypes were replication competent. Minor variants were detectable in 1% of the viral population. Tropism was determined in 65% of samples with a viral load of <1000 copies/mL. The phenotypic assay described here was validated with the Trofile™ and Trofile™ES assays. Considering the Trofile™ assay as a reference, the sensitivity for R5 and R5X4/X4 detection was 90% and 77%, and the specificity was 77% and 90%, respectively. Our assay was 86% concordant with Trofile™ (90% for R5 and 77% for R5X4/X4). When our system was compared with Trofile™ES, the concordance was 89% (86% for R5 and 92% for R5X4/X4), the sensitivity for R5 was 86% and for R5X4/X4 was 92%, and the specificity for R5 was 92% and for R5X4/X4 was 86%. The phenotypic results were compared with those obtained using the following V3 genotypic prediction tools: position-specific scoring matrix; geno2pheno[coreceptor]; C4.5; C4.5 using positions 8 and 12; PART; support vector machines; and the charge rule. CONCLUSIONS: We describe a system to assess co-receptor tropism based on the generation of chimeric replication-competent viruses with high sensitivity in the detection of minor populations. A good correlation of our results with Trofile™ assays was found.
OBJECTIVES: To develop a sensitive phenotypic assay based on recombinant viruses (RVs) for characterizing HIV-1 tropism. METHODS: Viral tropism was assessed in 159 plasma samples. The env gene was amplified and ligated into pNL-lacZ/env-Ren, which carries a luciferase reporter gene. Resulting constructs were transfected into HEK293T cells to generate RVs. To assess co-receptor tropism, U87.CD4.CXCR4/CCR5 cells were infected and luciferase activity was measured. RESULTS: RVs containing env from different HIV-1 subtypes were replication competent. Minor variants were detectable in 1% of the viral population. Tropism was determined in 65% of samples with a viral load of <1000 copies/mL. The phenotypic assay described here was validated with the Trofile™ and Trofile™ES assays. Considering the Trofile™ assay as a reference, the sensitivity for R5 and R5X4/X4 detection was 90% and 77%, and the specificity was 77% and 90%, respectively. Our assay was 86% concordant with Trofile™ (90% for R5 and 77% for R5X4/X4). When our system was compared with Trofile™ES, the concordance was 89% (86% for R5 and 92% for R5X4/X4), the sensitivity for R5 was 86% and for R5X4/X4 was 92%, and the specificity for R5 was 92% and for R5X4/X4 was 86%. The phenotypic results were compared with those obtained using the following V3 genotypic prediction tools: position-specific scoring matrix; geno2pheno[coreceptor]; C4.5; C4.5 using positions 8 and 12; PART; support vector machines; and the charge rule. CONCLUSIONS: We describe a system to assess co-receptor tropism based on the generation of chimeric replication-competent viruses with high sensitivity in the detection of minor populations. A good correlation of our results with Trofile™ assays was found.
Authors: A Gonzalez-Serna; R A McGovern; P R Harrigan; F Vidal; A F Y Poon; S Ferrando-Martinez; M A Abad; M Genebat; M Leal; E Ruiz-Mateos Journal: Antimicrob Agents Chemother Date: 2011-12-05 Impact factor: 5.191
Authors: M Medina-Ramírez; V Sánchez-Merino; S Sánchez-Palomino; A Merino-Mansilla; C B Ferreira; I Pérez; N González; A Alvarez; J M Alcocer-González; F García; J M Gatell; J Alcamí; E Yuste Journal: J Virol Date: 2011-04-06 Impact factor: 5.103
Authors: Jan Weber; Ana C Vazquez; Dane Winner; Richard M Gibson; Ariel M Rhea; Justine D Rose; Doug Wylie; Kenneth Henry; Alison Wright; Kevin King; John Archer; Eva Poveda; Vicente Soriano; David L Robertson; Paul D Olivo; Eric J Arts; Miguel E Quiñones-Mateu Journal: J Clin Microbiol Date: 2013-03-13 Impact factor: 5.948