Details

Autor(en) / Beteiligte

• Raymond, Stéphanie
• Saliou, Adrien
• Nicot, Florence
• Delobel, Pierre
• Dubois, Martine
• Carcenac, Romain
• Sauné, Karine
• Marchou, Bruno
• Massip, Patrice
• Izopet, Jacques

Titel

Characterization of CXCR4-using HIV-1 during primary infection by ultra-deep pyrosequencing

Ist Teil von

• Journal of antimicrobial chemotherapy, 2013-12, Vol.68 (12), p.2875-2881

Ort / Verlag

England: Oxford Publishing Limited (England)

Erscheinungsjahr

2013

Quelle

Oxford Journals 2020 Medicine

Beschreibungen/Notizen

• R5 viruses have long been thought to account for almost all strains present in primary HIV-1 infections (PHIs), but recent studies using sensitive phenotypic assays have revealed that 3%-6.4% of subjects also harbour CXCR4-using viruses. Phenotypic assays provide only qualitative results: the presence or absence of CXCR4-using viruses. We have therefore used ultra-deep pyrosequencing (UDS) to determine the frequency of CXCR4-using viruses among HIV-1 quasispecies. We first screened 200 patients for HIV-1 tropism using a sensitive phenotypic assay during PHI and identified 11 infected with an R5X4 dual/mixed (D/M) virus population. We then used UDS of the V3 env region with the geno2pheno algorithm (false positive rate = 5.75) to identify the HIV-1 quasispecies. CXCR4-using viruses were detected in all but 1 of the 11 patients by UDS, and accounted for 0.2%-100% of the virus populations. The frequency of CXCR4-using viruses was <20% in six subjects and 100% in four subjects. Virus populations containing 100% CXCR4-using variants during PHI persisted for at least 1-2 years after the acute phase. The CCR5 Δ32 heterozygous genotype was similarly prevalent in patients infected with D/M (27%) and R5 (15%) viruses. UDS and the phenotype were concordant for determining HIV-1 coreceptor usage. UDS analysis indicated large differences in the percentage of CXCR4-using viruses in the HIV-1 quasispecies during PHI. Further studies should examine the impact of the proportion of CXCR4-using viruses on disease prognosis.