BACKGROUND: Human immunodeficiency virus-1 (HIV-1) genetic variability and its implication on the development of new reagents were investigated by correlating time of infection and resistance to antiretroviral drugs. STUDY DESIGN AND METHODS: Seventy-four plasma samples from Brazilian drug-naïve blood donors were assayed to further develop a panel of biologic reagents to be used in serology and molecular tests. After viral RNA extraction, cDNA was generated and used in nested polymerase chain reaction protocols with primers for the ENV (C2-V3 and gp41), protease (PR), and reverse transcriptase (RT) of HIV-1. Genomic sequencing was conducted to define HIV-1 subtypes and drug resistance mutations. RESULTS: Subtype B was found in 83.8 percent of all samples, subtype F in 2.7 percent, and BF mosaics in 11 percent of the cases. B and F different genetic profiles were evidenced: B(PR)B(RT)B(gp120)B(gp41), F(PR)F(RT)F(gp120)F(gp41), F(PR)F(RT)B(gp120)B(gp41), F(PR)B(RT)B(gp120)B(gp41), and B(PR)B(RT)F(gp120)B(gp41). A single sample (1.4%) was characterized as a BC mosaic (B(PR)C(RT)U(gp120)C(gp41)) and an AGH mosaic (AG(PR)G(RT)H(gp120)H(gp41)) was first observed in the country. Antiretroviral resistance to nucleoside RT inhibitor was observed in one sample (1.35%) showing M41L and T215S mutations. Nonnucleoside RT inhibitor and major PR inhibitor resistance mutations were not observed. Previously unseen patterns of resistance to T20 were found among HIV-1-infected drug-naïve individuals in Brazil. Recent infections were characterized in 21.6 percent of the blood donor samples included in this study. CONCLUSIONS: The availability of characterized plasma samples and HIV isolates will allow the development of biologic reagents necessary to implement quality control programs and to develop, validate, and evaluate the performance of diagnostic kits, considering all HIV-1-circulating variants in the country.
BACKGROUND: Human immunodeficiency virus-1 (HIV-1) genetic variability and its implication on the development of new reagents were investigated by correlating time of infection and resistance to antiretroviral drugs. STUDY DESIGN AND METHODS: Seventy-four plasma samples from Brazilian drug-naïve blood donors were assayed to further develop a panel of biologic reagents to be used in serology and molecular tests. After viral RNA extraction, cDNA was generated and used in nested polymerase chain reaction protocols with primers for the ENV (C2-V3 and gp41), protease (PR), and reverse transcriptase (RT) of HIV-1. Genomic sequencing was conducted to define HIV-1 subtypes and drug resistance mutations. RESULTS: Subtype B was found in 83.8 percent of all samples, subtype F in 2.7 percent, and BF mosaics in 11 percent of the cases. B and F different genetic profiles were evidenced: B(PR)B(RT)B(gp120)B(gp41), F(PR)F(RT)F(gp120)F(gp41), F(PR)F(RT)B(gp120)B(gp41), F(PR)B(RT)B(gp120)B(gp41), and B(PR)B(RT)F(gp120)B(gp41). A single sample (1.4%) was characterized as a BC mosaic (B(PR)C(RT)U(gp120)C(gp41)) and an AGH mosaic (AG(PR)G(RT)H(gp120)H(gp41)) was first observed in the country. Antiretroviral resistance to nucleoside RT inhibitor was observed in one sample (1.35%) showing M41L and T215S mutations. Nonnucleoside RT inhibitor and major PR inhibitor resistance mutations were not observed. Previously unseen patterns of resistance to T20 were found among HIV-1-infected drug-naïve individuals in Brazil. Recent infections were characterized in 21.6 percent of the blood donor samples included in this study. CONCLUSIONS: The availability of characterized plasma samples and HIV isolates will allow the development of biologic reagents necessary to implement quality control programs and to develop, validate, and evaluate the performance of diagnostic kits, considering all HIV-1-circulating variants in the country.
Authors: A Waléria-Aleixo; A N Martins; M B Arruda; R M Brindeiro; R M Da-Silva; F F Nobre; D B Greco; A Tanuri Journal: Antimicrob Agents Chemother Date: 2008-10-06 Impact factor: 5.191
Authors: Carlos A Velasco de Castro; Beatriz Grinsztejn; Valdiléa G Veloso; Francisco I Bastos; José H Pilotto; Mariza G Morgado Journal: BMC Infect Dis Date: 2010-07-28 Impact factor: 3.090
Authors: Sabri Saeed Sanabani; Évelyn Regina de Souza Pastena; Antonio Charlys da Costa; Vanessa Pouza Martinez; Walter Kleine-Neto; Ana Carolina Soares de Oliveira; Mariana Melillo Sauer; Katia Cristina Bassichetto; Solange Maria Santos Oliveira; Helena Tomoko Iwashita Tomiyama; Ester Cerdeira Sabino; Esper Georges Kallas Journal: PLoS One Date: 2011-10-14 Impact factor: 3.240
Authors: Santiago Avila-Rios; Omar Sued; Soo-Yon Rhee; Robert W Shafer; Gustavo Reyes-Teran; Giovanni Ravasi Journal: PLoS One Date: 2016-06-29 Impact factor: 3.240