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Determination of human immunodeficiency virus tropism has contributed to the understanding of the pathogenesis of HIV and is necessary prior to the use of CCR5 antagonists. Replicate V3 sequences may generate different sequences and improve viral tropism prediction. The diversity of HIV was evaluated to access its influence on prediction. Plasma RNA was retro-transcribed and amplified using a one-step protocol, followed by nested PCR and sequencing using an ABI3130XL. Eighty-one patients, 74% male and 26% female, with a median age of 44 years had either a single sequence (n=50) or 2-4 replicates (n=31) evaluated. Most patients (92%) had used multiple anti-retroviral regimens. Tropism prediction was performed using the Geno2pheno clonal option. The number of ambiguous nucleotides, the deduced non-synonymous amino acids at V3 and the genetic distance were quantified. Using a 20% false positive rate (FPR) cut-off, 41/81 (50.6%) was predicted as X4. TCD4 was lower, 226 cells/mm(3) (IQR 82-378), in patients infected with X4; TCD4 for R5 was 324 cells/mm(3) (IQR 200-538, p<0.05). The number of ambiguous nucleotides correlated with a lower FPR value (p<0.0027). Although different sequences may be generated, the number of replicates was not associated to a lower FPR or X4 assignment, and may allow a better prediction of this biological characteristic. Ambiguous nucleotides correlate inversely to a lower FPR., (Copyright © 2011 Elsevier B.V. All rights reserved.)

Background and Objectives: Due to their behavioral conditions and vulnerability, injection drug users (IDUs) are prone to multiple simultaneous or sequential infections with distinct HIV-1 subtypes and variants, making them a key population for molecular epidemiology surveillance. In the present study, we evaluated HIV-1 infection seroprevalence, genetic diversity and estimated incidence among IDUs and ex-injection drug users (ex-IDUs) from Rio de Janeiro, Brazil., Study Design: Six hundred and eight IDUs and ex-IDUs, recruited between 1999 and 2001, were interviewed and agreed to donate 30 ml of blood. The serologic status for HIV infection was determined by two ELISAs and confirmed by IFA. CD4+ T-cell percentages were assessed by flow cytometry. HIV-1 positive samples were submitted to viral load quantification. DNA samples were PCR amplified and HIV-1 subtypes were determined using env and gag HMA., Results and Conclusions: Forty-eight (7.89%) individuals were seropositive for HIV-1 infection. The seroincidence of HIV-1 infection was estimated as 0.76%. HIV-1 env and gag subtyping identified 29 (69%) samples as belonging to subtype B, 7 (16.7%) to subtype F, and 6 (14.3%) discordant env/gag genomes infections, indicating the circulation of recombinant viruses in this population.