ABSTRACT
The objective of this study is to identify subtypes of Human Immunodeficiency Virus type 1 (HIV-1) and to analyze the presence of mutations associated to antiretroviral resistance in the protease (PR) and reverse transcriptase (RT) regions from 48 HIV-1 positive treatment naïve patients from an outpatient clinic in Maringá, Paraná, Brazil. Sequencing was conducted using PR, partial RT and group-specific antigen gene (gag) nested PCR products from retrotranscribed RNA. Transmitted resistance was determined according to the Surveillance Drug Resistance Mutation List (SDRM) algorithm. Phylogenetic and SimPlot analysis of concatenated genetic segments classified sequences as subtype B 19/48 (39.6%), subtype C 12/48 (25%), subtype F 4/48 (8.3%), with 13/48 (27.1%) recombinant forms. Most recombinant forms were B mosaics (B/F 12.5%, B/C 10.4%), with one C/F (2.1%) and one complex B/C/F mosaic (2.1%). Low levels of transmitted resistance were found in this study, 2/48 (2.1% to NRTIs and 2.1% for PI). This preliminary data may subsidize the monitoring of the HIV evolution in the region.
O objetivo foi identificar subtipos do Vírus da Imunodeficiência Humana tipo-1 (HIV-1) e analisar a presença de mutações/polimorfismos nas regiões da protease (PR) e transcriptase reversa (TR) de 48 pacientes virgens de tratamento atendidos no município de Maringá, Paraná, Brasil. O sequenciamento foi conduzido usando produtos de nested PCR dos genes da PR, TR parcial e group-specific antigen gene (gag) de RNA retrotranscrito. A interpretação da resistência transmitida foi realizada segundo o algoritmo Surveillance Drug Resistance Mutation List (SDRM). As análises filogenética e SimPlot dos segmentos concatenados classificaram as sequências como subtipo B 19/48 (39,6%), subtipo C 12/48 (25%), subtipo F 4/48 (8,3%), com 13/48 (27,1%) formas recombinantes. A maioria das formas recombinantes era mosaicos B (B/F 12,5%, B/C 10,4%), com um C/F (2,1%) e um mosaico complexo B/C/F (2,1%). A prevalência de resistência transmitida foi de 4,2% (2,1% para ITRN e 2,1% para IP). Baixos níveis de resistência transmitida foram encontrados nesse estudo, 2/48 (2,1% para INTR e 2,1% para IP). Esses achados, embora preliminares, podem contribuir no monitoramento da epidemia de HIV na região.
Subject(s)
Adolescent , Adult , Female , Humans , Male , Middle Aged , Young Adult , Drug Resistance, Viral/genetics , HIV Infections/virology , HIV Protease/genetics , HIV Reverse Transcriptase/genetics , HIV-1 , Mutation/genetics , Base Sequence , Genotype , HIV-1 , Molecular Sequence Data , PhylogenyABSTRACT
While human immunodeficiency virus (HIV)-1 chemokine co-receptors 5 tropism and the GWGR motif in the envelope third variable region (V3 loop) have been associated with a slower disease progression, their influence on antiretroviral response remains unclear. The impact of baseline V3 characteristics on treatment response was evaluated in a randomised, double blind, prospective cohort study with patients initiating highly active antiretroviral therapy with lopinavir or efavirenz plus azithothymidine/3TC (1:1) over 48 weeks. Similar virological and immunological responses were observed for both treatment regimens. The 43 individuals had a mean baseline CD4 T cell count of 119 cells/mm³ [standard deviation (SD) = 99] and a mean viral load of 5.09 log10 copies/mL (SD = 0.49). The GWGR motif was not associated with a CD4 T cell response, but predicted R5 tropism by the geno2pheno[clinical20 percent] algorithm correlated with higher CD4 T cell levels at all monitoring points (p < 0.05). Moreover, higher false-positive rates (FPR) values from this analysis revealed a strong correlation with CD4 T cell recovery (p < 0.0001). Transmitted drug resistance mutations, documented in 3/41 (7.3 percent) cases, were unrelated to the assigned antiretroviral regimen and had no impact on patient outcomes. In conclusion, naÏve HIV-1 R5 infected patients exhibited higher CD4 T cell counts at baseline; this difference was sustained throughout therapy. The geno2pheno[clinical] option FPR positively correlated with CD4 T cell gain and may be useful in predicting CD4 T cell recovery.